Get a weekly email with all new Java jobs
x

Java City and County of San Francisco Jobs


Hand-Picked Java developer jobs • Apply directly to companies • Clear salary ranges

Browse 700+ Java City and County of San Francisco Jobs (117 new this week) in June 2024 at companies like Labelbox, Labelbox and Federal Reserve Bank of Richmond with salaries from $107,100 to $323,400 working as a Staff Machine Learning Engineer, Senior Engineering Manager, Machine Learning Engineering and Senior Security Engineer - Detection Engineering. Last post

Hiring Java Developers?

Create your profile to continue

Akshay Vadsara Bruno Gendron Niraj Hector Franklyn Williams Haka Yogo Ayoub Samil Talukder  Abu Siam Siddique Mayank Kumar Mishra
  • 48 direct messages sent by companies to developers on JavaProHire in the last 30 days
  • 92 developer profiles page views in the last 30 days
  • Get access to our Salary Explorer
  • Get access to exclusive discount on Java courses up to 25% off
  • Last developer joined

2-Click Apply

  1. Upload Your CV
  2. Go to your Inbox & Confirm Your Application





10 of 734 City and County of San Francisco Jobs • Sort by Date
Labelbox Logo
Staff Machine Learning Engineer
Labelbox
Remote
$215,000 to $250,000 a year
May 2024
11 Applicants This Week

Job Description

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

As a Staff Machine Learning Engineer at Labelbox, you will be a technical leader for the team building a scalable AI platform that uses foundation models for real-world AI applications. You will be responsible for prototyping and developing production grade tools for model fine tuning, evaluation, experimentation, metrics and quality control, and alignment with human or AI feedback. You will draw on your expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models, including multi-modal models, embody these technologies, to drive the success of our AI initiatives in terms of roadmap definition, architecture decisions and execution, delivering products that meet the needs of our customers.

Your Day to Day

  • Enhance and improve Labelbox’s core machine learning capabilities, including model registry, training and inferencing, towards making it a best-in-class AI Platform-as-a-Service. Examples include improving inference latency or optimizing training memory consumption.
  • Conduct feasibility studies and prototype development for new applications leveraging foundation models.
  • Research design, and incorporate approaches and metrics for evaluating generated output from models, including human-preference metric, e.g. ranking and selection and other types, e.g. model performance variance with ELO scores.
  • Provide guidance to other engineering teams on best practices for leveraging machine learning, specifically using Labelbox’s AI engine as a PaaS.
  • Mentor and guide less experienced engineers while driving initiatives towards completion.
  • Guide customers and the broader Labelbox community with best practices in AI using Foundation Models, through meetings, PoC applications, webinars, blog posts, etc.
  • Oversee and define mechanisms for adaptation, hyperparameter tuning and fine-tuning of foundation models to suit specific application requirements.
  • Engage with stakeholders, including customers, to understand their needs, gather requirements, and provide expert advice on AI-driven solutions.
  • Stay abreast of industry trends, emerging technologies, and advancements in foundation models and their applications. Analyze, assess and incorporate technologies coming out of various AI research labs.
  • Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.

About You

  • Bachelor’s degree in computer science or related field. Advanced degree preferred.
  • 5+ years of work experience in a software company in the domain of distributed systems, ML engineering, AI/ML infrastructure or platforms.
  • Extensive software design and architecture skills in large-scale systems and AI/ML systems design.
  • Proven experience in developing and implementing large-scale systems that integrate with Foundation Models for real-world applications.
  • Experience with various types of foundation models and multi-modal models.
  • Experience with machine learning algorithms, natural language processing, and deep learning frameworks.
  • Experience working on Generative AI, including model fine-tuning, experimentation, metrics for model evaluation, monitoring and quality-control.
  • Strong understanding of AI agents architecture, RLHF, building and/or using ML pipelines for training and inference.
  • An understanding of transformers and LLM architecture.
  • Good grasp of the overall Data + AI ecosystem, including data processing technologies.
  • Proficiency in programming languages such as Python, Typescript, or Java.
  • Demonstrated ability to keep up with industry trends and research in the AI/ML landscape.
  • Excellent communication and collaboration skills.
  • Thrive in a fast-paced environment with willingness and ability to dive deep.
  • Comfortable with ambiguity and able to break-down high level requirements into actionable tasks in a methodical manner.
  • Resourceful, creative, problem-solver with an attention to detail who will not hesitate to take initiative and get things done.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The *expected annual base salary range for United States-based candidates*is $215,000 - $250,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at [email protected] for clarification and verification.


Apply ⎘ Copy Link ↗ Visit Link
Labelbox Logo
Senior Engineering Manager, Machine Learning Engineering
Labelbox
Remote
$220,000 to $240,000 a year
May 2024
10 Applicants This Week

Job Description

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

As engineering manager for the machine learning engineering team at Labelbox, you will lead and grow a team working on building a scalable platform that uses foundation models for real-world AI applications. You will manage the day to day running of the team, including sprint planning, daily scrums, 1:1s, etc. You will also bring to the table domain knowledge in AI/ML infrastructure and platforms, and related tooling. You will work closely with sister teams across the engineering organization to collaborate on key initiatives. This role expects the team manager to be technically sound with domain knowledge in machine learning engineering and frameworks, and willing to roll up their sleeves and start coding if needed.

Your Day to Day

  • Drive engineering execution for your team through guidance and technical leadership.
  • Collaborate with cross-functional teams to prioritize work items, track progress and deliver on commitments.
  • Prioritize tasks, lead the release, and sprint planning efforts.
  • Recruit and grow a high-performing engineering team.
  • Work with each engineer in the team on a career progression plan. Identify and address skill gaps.
  • Interested and able to be a hands-on contributor during the entire development cycle from conception and design through release.
  • Brainstorm with engineers on ML system designs and technologies.
  • Unblock and guide the team to ensure adherence to commitment deadlines and quality standards.
  • Interface and communicate regularly with senior management and technical architects.
  • Work with the broader engineering organization to ensure that the infrastructure and tools we build are performant, scalable, reliable, and secure.
  • Engage with stakeholders, including customers, to understand their needs, gather requirements, and provide expert advice on AI-driven solutions.
  • Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.
  • Stay abreast of industry trends and emerging technologies. Analyze, assess and incorporate relevant technologies coming out of various AI research labs.

About You

  • Bachelor’s degree in computer science or related field. Advanced degree preferred.
  • 8+ years of work experience in a software company in the domain of distributed systems, ML engineering, AI/ML infrastructure or platforms.
  • 3+ years of leadership experience managing one or more highly technical teams.
  • Demonstrated experience in project management and tools such as Jira.
  • Experience with agile software development and exhibited end-to-end ownership of projects.
  • A disciplined approach to software development with focus on testing and quality.
  • Extensive software design and architecture skills in large-scale systems and AI/ML systems design.
  • Familiarity with building applications using Foundation Models.
  • Working knowledge of machine learning algorithms, natural language processing, and deep learning frameworks.
  • Working knowledge of Generative AI landscape, including model fine-tuning, experimentation, metrics for model evaluation, monitoring and quality-control.
  • Familiarity with Retrieval Augmented Generation, AI agents architecture, RLHF, building and/or using ML pipelines for training and inference.
  • Proficiency in programming languages such as Java, Python or TypeScript.
  • Experience working with cloud computing platforms and data processing technologies.
  • Excellent communication and collaboration skills.
  • Thrive in a fast-paced environment with a willingness to dive deep and to get things done.
  • Strong desire and demonstrated ability to keep up with industry trends and research in the AI/ML landscape.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The *expected annual base salary range for United States-based candidates*is $220,000 - $240,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at [email protected] for clarification and verification.


Apply ⎘ Copy Link ↗ Visit Link
Federal Reserve Bank of Richmond Logo
Senior Security Engineer - Detection Engineering
Federal Reserve Bank of Richmond
Remote
$107,100 to $147,290 a year
June 2024

Job Description

Company Federal Reserve Bank of Richmond When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

Bring your passion and expertise, and we’ll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance. About the Opportunity The National Incident Response Team (NIRT), a national service provider for the Federal Reserve System (FRS), provides effective national intrusion detection, incident response, security intelligence, threat assessment, and vulnerability assessment services for the FRS. NIRT’s mission is to play an important role in the FRS’ efforts to protect its information systems against unauthorized use. NIRT’s Detection Engineering (DE) team has an immediate remote opening for a cyber professional to join as a Cybersecurity Analyst at the Senior level, reporting to a Senior Detection Engineering Manager. The mission of NIRT's DE team, is to gather security-centric data and facilitate its use through the design, engineering, implementation and support of technology, to support NIRT's services and goals and represent NIRT's interests in projects within the FRS and Treasury. We focus on ensuring that the capabilities of NIRT's critical infrastructure remains relevant, and that it is enhanced and evolved to meet new threats and evolving technological landscape. We are looking for someone to lead projects concerning researching, designing, and creating detection processes and capabilities, with a focus on SIEM, IaC, and DevOps. As an important member of our team, you will collaborate on efforts within both the cloud and on-premise environments and other customer specific settings. What You Will Do* Partner with National IT, NIRT and other partners to provide mission-critical cyber detection and incident response capabilities. * Research and develop solutions that facilitate and enhance the delivery of NIRT’s services. * Collaborate with teams to ensure seamless integration of services. * Participate in cybersecurity related projects and tasks. * Coordinate activities of Bank staff and vendor support personnel in resolving platform issues. * Stay informed about industry trends and advancements to inform system enhancements. * Identify and make recommendations around process improvements. * Provide consultation, assistance, and guidance, internally and externally, regarding different aspects of the requirements, technologies and methods regarding NIRT’s detection ecosystem infrastructure, and related services.

Qualifications* Bachelor’s Degree or higher in Computer Science, Information Systems, Computer Engineering, Cybersecurity, Systems Analysis, or a domain related field; or equivalent combination of education and work experience. * 5+ years of combined IT, security, with a broad range of exposure to systems analysis, application development, systems administration. * Experience as a power user or administrator of a SIEM platform. * Experience with cloud environments with a strong preference for AWS and Azure. * Experience with automation and DevOps practices is preferred- including Infrastructure-as-Code, code testing tools, CI/CD, configuration management/application deployment automation which use languages such as: Python, Terraform, Ansible, Java, Salt, Chef, or Puppet.

Other Requirements and Considerations:* Candidates should review the Bank’s Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions. * If you need assistance or an accommodation due to a disability, please notify [email protected]. * Employees who work at and/or visit another Federal Reserve entity or outside business as part of their job duties are required to comply with any onsite safety and health protocols of those organizations (including, but not limited to, requirements to vaccinate or test, mask, social distance, etc.). * Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship. * The national hiring range for the Senior Security Engineer- Detection Engineering is $107,100-$147,290 annually. For candidates in certain markets (Boston, MA; Chicago, IL; Los Angeles, CA; New York City Metro Area, Philadelphia, PA; San Francisco, CA; Seattle, WA), the listed hiring and salary ranges may be adjusted based on your geographic location. * Salary offered will be based on the job responsibilities and the individual’s knowledge, skills, and experience as defined in the job qualifications. * Applications are reviewed on a rolling basis. Interested candidates are strongly encouraged to apply by July 3, 2024.

#LI-Remote #FRB123 Full Time / Part Time Full time Regular / Temporary Regular Job Exempt (Yes / No) Yes Job Category Analytical Work Shift First (United States of America)The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Privacy Notice


Apply ⎘ Copy Link ↗ Visit Link
Indeed Logo
Senior Security Software Engineer
Indeed
Remote
$136,000 to $190,000 a year
May 2024
9 Applicants This Week

Job Description

Our Mission

As the world’s number 1 job site\*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

Day to Day

Indeed Security Engineering is looking for a motivated Senior Security Software Engineer to join our team. As a Security Engineer you will manage and drive the change in making Indeed more secure. You will be responsible for researching, designing, building and operating systems which keep Indeed secure. You will play a key role in defining, building and operating effective and simple-to-use security capabilities that will be leveraged by Indeed’s Product and Technology teams, impact the Employers and JobSeekers experience on our platform, and improve the maturity of our product security. You will interact with technical teams across Indeed to secure global systems that scale to tens of millions of pageviews a day, see over 200 million unique visitors per month, and serve users in over 25 global offices.

Responsibilities

  • Demonstrate product ownership - if you build it, you own and support it
  • Design systems that are scalable, performant and reliable
  • Build product capabilities that are frictionless to adopt by Indeed’s product and engineering teams to improve our product security. Our work can be in diverse Security domains such as Workload Identity (System to System Authentication), finding Secrets in code, data encryption and tokenization, bot detection etc
  • Curious about various programming stacks and can develop security systems that integrate with popular programing stacks
  • Plan and develop systematic solutions to problems instead of focusing on one-off fixes
  • Discuss, and make recommendations with stakeholders about balancing short-term needs and aligning them with a pathway to long-term target designs
  • Approach solutioning with an intent to increase adoption of Security Capabilities your team builds

*
Skills/Competencies*

  • Guided and mentored other engineers on the team
  • 7 years of Software Engineering experience delivering software products
  • 5 years of demonstrated experience delivering security capabilities as software products and/or platforms
  • Knowledge around several security domains (i.e. Cryptography, Tokenization, Identity, SAST/DAST testing approaches, Authentication and Access control, etc.) with deep implementation experience in at least 2
  • Experienced in full SDLC for security software: coding standards, review, source control, build, test, deploy, and operations; multiple releases.
  • Proficiency with at least one high level programming language (i.e. Python, Golang, Java, etc.)
  • Experience with APIs, web technologies, kubernetes, containers, docker, AWS and/or other Cloud Security experience

Bachelor’s of Science degree in Computer Science, Engineering, Computer Security, Information Systems, or related field, OR comparable level of professional experience

*
Salary Range Transparency*

  • US Remote - 136,000 - 190,000 per year
  • Austin, Metro Area 136,000 - 190,000 USD per year
  • San Francisco Bay Area 176,000 - 246,000 USD per year
  • Seattle Metro Area 166,000 - 232,000 USD per year
  • New York City Metro Area 149,000 - 217,000

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://benefits.indeed.jobs!

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Accommodations at 1-855-567-7767, or by email at [email protected]. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
*
Fair Chance Hiring*
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

*
Indeed’s Employee Recruiting Privacy Policy*

*
Indeed’s Employee Recruiting Privacy Policy*
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs.
*
Req ID: *43978

Reference ID: 43978

Job Type: Full-time

Pay: $136,000.00 - $190,000.00 per year


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
Software Engineering SMTS
Salesforce
San Francisco, United States
$147,368 to $227,700 a year
June 2024

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Software Engineering SMTS in San Francisco, CA:

Job Duties : Design and build out the next generation of industry leading, globally highly available at scale Identity and Authentication Services to power our customers Identity use cases across our entire product portfolio, including acquisitions. Help re-architect the login service that currently handles billions of logins per month and runs Authentication for all Salesforce platforms & properties. Work on new and existing protocols such as OAuth, OpenID Connect, and SAML that we pioneered amp; adopted in partnership with other industry leaders. Solve challenging engineering problems both in the Identity and Security domain, as well as around distributed systems problems such as replication, high availability, and scalability as we move into our next chapter of both B2B and B2C growth. Design, develop, debug and operate mission critical systems. Balance live-site management, feature delivery, and retirement of technical debt. Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance. Drive and deliver functionality on a regular cadence with data-driven feedback loops in an agile environment. Create, maintain and share technical documentation. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option.

Minimum Requirements : Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the field of software engineering/program analysis or two (2) years of experience in the job offered.

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements : (1) Java; (2) XML; (3) SQL; (4) SOAP; (5) REST; (6) C++; (7) HTML; (8) JS; (9) Spring Boot; and (10) Postgres SQL. Any suitable combination of education, training and/or experience is acceptable. Special Skills can be gained through academic coursework, scholastic achievement, or professional experience. Telecommuting is an option.

Salary : $147,368.00 - $227,700.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 22-16117. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $147,368 to $227,700.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
Director, Software Engineering
Salesforce
San Francisco, United States
$274,206 to $323,400 a year
May 2024
14 Applicants This Week

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce, Inc. seeks Director, Software Engineering in San Francisco, CA:

Job Duties : Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Make critical decisions that attribute to the success of the product. Proactive in foreseeing issues and resolve it before it happens. Daily management of standups as the Scrum Master for engineering teams. Partner with PO to align with objectives, priorities, tradeoffs, and risk. Ensuring teams have clear priorities and adequate resources. Provide technical guidance, career development, and mentoring to team members. Participate in architecture discussions and planning. Participate in cross-functional coordination, planning, and reviews with leads from other engineering teams. Maintaining and encouraging our culture by interviewing and hiring only the most qualified individuals. Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical competence sharp. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco . Telecommuting is an option.

Minimum Requirements : Master’s degree (or its foreign degree equivalent) in Computer Science, Software Engineering , or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Software Engineering, or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.

A related technical degree required (Computer Science, Software Engineering).

Special Skill Requirements : (1) Java; (2) Kafka; (3) Docker; (4) Apache; (5) Kubernetes; (6) GDB; (7) Golang; (8) C; and (9) Hadoop. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option.

Salary : $274,206.00 - $323,400.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 19-6974. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $274,206 to $323,400.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
Software Engineering MTS
Salesforce
San Francisco, United States
$147,368 to $195,750 a year
May 2024
3 Applicants This Week

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Software Engineering MTS in San Francisco, CA:

Job Duties : Build scalable, elastic services, capable of running in private Salesforce data centers and in public Clouds. Design and develop high-quality code to improve platform reliability, availability, and scalability. Design, implement and tune robust APIs and API framework-related features that perform and scale in a multi-tenant environment. Build efficient components/algorithms to serve high volume of requests with low latencies. Handle large data sets in the cloud (e.g. AWS, GCP, Alibaba, and/or Azure platforms). Design and implement intelligent and thorough testing strategies to ensure quality delivery. Automate operational tasks to allow us to operate services at world-scale. Continuously integrate and deploy your code, monitor it in the live service and learn through data-driven feedback loops on how to improve it. HQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required.

Minimum Requirements : Master’s degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline, and two (2) years of experience in job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering).

Special Skill Requirements : At least one year of experience with all of the following: (1) Object-oriented Programming; (2) Java; (3) Ruby; (4) Python; (5) SQL and No-SQL Databases; (6) Amazon QLDB; (7) Amazon DynamoDB; (8) Cloud computing technologies; (9) Building microservices architecture; and (10) Distributed systems. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary : $147,368.00 - $195,750.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 22-129996. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $147,368 to $195,750.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
Software Engineer MTS
Salesforce
Remote
$181,272 to $188,600 a year
June 2024

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Software Engineer MTS in San Francisco, CA:

Job Duties : Architect, design, implement, test, and deliver highly scalable products. Master the development process, culture, and code base, then improve it. Collaborate with a team of engineers, product managers, user experience experts, and performance engineers to build new features that customers will love, adopt and use while keeping Salesforces trusted platform stable and scalable. Develop test strategies, design automation frameworks, and write unit/functional tests to drive up code coverage and automation metrics. Analyze, design, and develop test cases and implement automated test suites. Formulate, implement, and evaluate algorithms for platform and application features in Scala, Python, and Spark. Troubleshoot complex technical issues and drive innovation that improves salesforce.com. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required.

Minimum Requirements : Master’s degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline, and one (1) year of experience in job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering).

Special Skill Requirements : (1) Apache Spark (one year) (2) Apache Hadoop (one year) (3) Python (one year) (4) Object Oriented Programming Languages like C++/Java (one year) (5) Scala (6) Data Science (one year) (7) Machine Learning (one year) (8) Software Development tools like Git, Maven, or SBT (9) File Formats like ORC, Parquet or Avro (10) Cloud Platforms like AWS, Kubernetes, or Docker (11) SQL (one year) (12) No SQL databases, (13) Algorithm and Data Structure. Any suitable combination of education, training and/or experience is acceptable. Special Skills can be gained through academic coursework, scholastic achievement, or professional experience. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary : $181,272.00 - $188,600.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 22-132454. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $181,272 to $188,600.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
Software Engineering PMTS
Salesforce
San Francisco, United States
$215,197 to $323,400 a year
May 2024
8 Applicants This Week

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Software Engineering PMTS in San Francisco, CA:

Job Duties : Research, design, and develop computer and network software or specialized utility programs. Update software or enhance existing software capabilities. Translate business requirements into technical requirements and collaborate with multiple stakeholders (Product Manager, UX designer, architects, and others) to refine those requirements. Independently spike on the high complexity design for a highly distributed cloud platform. Develop high-quality production-ready software for the cloud platform used by millions of users. Develop high complexity features independently for a massively dispersed cloud platform. Collaborate with one or more teams during code development. Provide oversight through active participation in code and design reviews for features delivered by other developers within their scrum team. Work with Customers and Stakeholders to develop features. Mentor other engineers. Set and meet reasonable commitments, deadlines, and high standards for the team. Continuously lead the efforts to improve the engineering best practices every release to keep high standard for software engineering at Salesforce. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required.

Minimum Requirements : Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline and seven (7) years of progressively responsible experience in job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering).

Special Skill Requirements : (1) JSON and JSON Schemas (3 years); (2) Multi-platform/multi-language skills; (3) Java (7 years); (4) Kotlin; (5) Typescript (3 years); (6) JavaScript (3 years); (7) React; (8) Angular; (9) LWC (4 years); (10) Contributions to Open Source frameworks; (11) Design and Architecture skills; (12) Salesforce CMS and associated Type System; (13) Salesforce Experience Cloud; (14) Salesforce Platform; and (15) Building applications on the Salesforce Platform. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary : $215,197.00 - $323,400.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 22-132579. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $215,197 to $323,400.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link
Salesforce Logo
AMTS Software Engineer
Salesforce
San Francisco, United States
$181,272 to $183,272 a year
June 2024

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks AMTS Software Engineer in San Francisco, CA:

Job Duties : Research, design, and develop computer and network software or specialized utility programs. Update software or enhance existing software capabilities. Formulate, implement, and evaluate algorithms for platform and application features in Java Code in JavaScript, HTML, and CSS for front-end development Work closely with Quality Engineering, Product Management, and Technical Operations to develop, test, and deploy highly useful, high quality software Analyze, design and develop test cases and implement automated test suites Resolve complex technical issues and drive innovation that improves salesforce.com. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required.

Minimum Requirements : Master’s degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline, and one (1) year of experience in job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering).

Special Skill Requirements : (1) Python; (2) C/C++; (3) AWS; (4) Docker; (5) Git; (6) TensorFlow; (7) Lambda; (8) Jest; (9) Spring Boot; (10) HTML; (11) JavaScript; and (12) CSS. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary : $181,272.00 - $183,272.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 21-14931. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . 

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $181,272 to $183,272.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Apply ⎘ Copy Link ↗ Visit Link

Get a weekly email with all new Java jobs

10 of 734 City and County of San Francisco jobs found