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11 results for Software Engineer in San Francisco, CA

Software Engineer

Burlingame, CA
onsite
Temporary / Contract
62 - 62 USD / Hourly
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern cloud-based solutions. This Long-term Contract position offers the opportunity to shape scalable services, contribute to architecture decisions, and build reliable integrations between field operations and business systems. The role suits an engineer who enjoys hands-on development, cross-functional collaboration, and creating practical software solutions that can evolve with changing product needs. Responsibilities: • Lead the design and implementation of scalable software components across data processing, backend services, and orchestration layers. • Build and enhance cloud-native applications that support the exchange of information between operational platforms and business systems. • Create, document, and maintain APIs and microservices that connect devices, applications, and distributed services. • Develop web-based interfaces and service-to-service workflows by integrating with cloud API endpoints. • Investigate production issues, resolve technical problems, and improve overall platform stability and performance. • Participate in design discussions, code reviews, and testing activities to maintain high engineering standards. • Partner with architects, engineers, and business stakeholders to evaluate feature requests, estimate delivery effort, and validate solutions. • Support field validation efforts by working with cross-functional teams to test and refine software in live construction environments. • Mentor less experienced engineers and promote strong collaboration, sound development practices, and continuous improvement within the team.
2026-06-15T00:00:00Z

Software Engineer

Burlingame, CA
onsite
Temporary / Contract
60 - 60 USD / Hourly
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern software solutions that connect field operations with back-office systems. This is a Long-term Contract position offering the opportunity to contribute to cloud-based services, scalable APIs, and user-facing applications while working in an Agile environment. The role calls for a strong technical contributor who can help shape architecture decisions, improve system reliability, and partner with engineers and stakeholders across teams to deliver practical, high-impact solutions. Responsibilities: • Lead the design and implementation of scalable software components across data pipelines, service layers, and orchestration workflows. • Build and enhance cloud-based services that collect, process, and persist data for connected platforms and applications. • Create and maintain APIs within a microservices architecture to support communication between IoT-enabled systems and end-user tools. • Develop web interfaces and service-to-service integrations by consuming cloud API endpoints and translating business needs into technical solutions. • Investigate production issues, diagnose platform problems, and deliver effective fixes to improve system performance and stability. • Participate in architectural discussions, code reviews, and testing activities to ensure software quality and alignment with engineering standards. • Collaborate with cross-functional engineering teams and business stakeholders to assess new features, estimate effort, and validate solutions in real-world environments, including construction site settings when needed. • Mentor less experienced engineers by sharing development best practices, encouraging strong teamwork, and supporting technical growth. • Contribute to event-driven system design and help advance the adoption of modern cloud technologies and engineering approaches. • Perform unit and system-level validation to confirm that enhancements and changes meet functional and reliability expectations.
2026-06-15T00:00:00Z

Sr. Software Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
Job TitleFull Stack Application Developer Company OverviewA leading, privately held organization in the investment and philanthropic services space is seeking a talented Full Stack Application Developer to join its technology team. Based in Los Angeles, CA, the organization manages a diverse portfolio of initiatives across investments, nonprofit programs, and research-driven efforts. The company is committed to innovation, operational excellence, and leveraging technology to support impactful global initiatives. Role SummaryThe Full Stack Application Developer will play a critical role in designing, building, and scaling modern business applications that support a wide range of organizational functions. Based in Los Angeles, CA, this role partners closely with cross-functional stakeholders to identify technology needs and deliver innovative, scalable solutions. The ideal candidate brings a strong technical foundation, a forward-thinking mindset, and an interest in emerging technologies, including AI/ML applications in enterprise environments. Key Responsibilities<ul><li>Design and develop scalable, end-to-end applications across both frontend and backend systems</li><li>Architect and implement technical solutions aligned with organizational and business goals</li><li>Collaborate with stakeholders to translate business requirements into technical specifications</li><li>Build and maintain microservices-based architectures and integrate third-party systems</li><li>Develop and manage RESTful APIs with a focus on performance, security, and usability</li><li>Contribute to CI/CD pipelines and promote best practices in automated testing and deployment</li><li>Research and evaluate emerging technologies to enhance system capabilities and productivity</li><li>Optimize database design and ensure efficient data modeling across systems</li><li>Uphold engineering best practices throughout the software development lifecycle</li></ul>Compensation & Benefits<ul><li>$200,000 - $250,000</li><li>Comprehensive benefits package</li><li>Performance-based incentives and long-term growth opportunities</li></ul>Additional Details<ul><li>Work model: Onsite</li><li>Collaborative, fast-paced environment with a strong focus on innovation and continuous improvement</li><li>Opportunity to work on impactful, mission-driven initiatives across multiple sectors</li></ul>
2026-06-16T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
170000 - 180000 USD / Yearly
We are looking for a Sr.DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth. Responsibilities:• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.
2026-06-22T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
40 - 45 USD / Hourly
We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders. This is a 3-6 month contract opportunity. Responsibilities:• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.
2026-06-23T00:00:00Z

AI Engineer

San Francisco, CA
onsite
Permanent / Full Time
220000 - 260000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly. Responsibilities: • Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure. • Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently. • Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams. • Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments. • Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability. • Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs. • Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery. • Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap. • Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
2026-06-23T00:00:00Z

Sr DevOps Engineer

San Francisco, CA
onsite
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Sr. DevOps Engineer to help strengthen and scale a cloud-based platform in San Francisco, California. This opportunity is ideal for a senior engineer who can improve infrastructure performance, streamline delivery processes, and support production systems in a hybrid work environment. The role partners closely with engineering teams to build dependable deployment practices, enhance platform visibility, and maintain stable operations across modern cloud services. This is a contract to permanent opportunity and requires 2 days a week on site. Responsibilities: • Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. • Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. • Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability. • Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. • Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. • Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. • Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. • Participate in production support activities, including incident response and an on-call rotation. • Contribute to operational improvements that reduce manual effort and increase platform stability over time.
2026-06-22T00:00:00Z

Data Scientist

Palo Alto, CA
onsite
Temporary / Contract
95 - 100 USD / Hourly
We are looking for a Data Scientist to support AI and machine learning initiatives that advance patient care, research, and operational decision-making in Palo Alto, California. This is a Contract position focused on turning healthcare data into practical, high-impact solutions through model development, validation, and deployment. The role works closely with clinical, research, and operational partners to translate complex problems into scalable analytical approaches while maintaining strong standards for quality, fairness, and performance. Responsibilities: • Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes. • Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases. • Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities. • Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls. • Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms. • Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments. • Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.
2026-06-23T00:00:00Z

Site Reliability Engineer (SRE)

San Francisco, CA
onsite
Permanent / Full Time
170000 - 180000 USD / Yearly
We are looking for an experienced Site Reliability Engineer to strengthen the reliability, scalability, and operational maturity of our platform in San Francisco, California. This role will focus on improving service health, refining observability, and partnering with engineering teams to build systems that perform consistently under real-world demand. The ideal candidate brings deep production experience, a strong automation mindset, and a practical approach to incident response and continuous improvement. Responsibilities: • Establish measurable reliability standards for critical services by creating and maintaining service indicators, objectives, and error budget practices. • Take ownership of production stability by monitoring uptime, latency, and availability, and driving improvements that reduce operational risk. • Lead live incident response efforts, coordinate troubleshooting during outages, and ensure issues are resolved efficiently and thoroughly. • Run blameless post-incident reviews, document findings clearly, and track corrective actions through completion. • Design and enhance observability across logs, metrics, and distributed tracing using tools such as Datadog, CloudWatch, Grafana, OpenTelemetry, and Sentry. • Improve alert quality and dashboard design so engineering teams can quickly identify meaningful system issues without unnecessary noise. • Evaluate system behavior under load, uncover performance constraints, and recommend changes that improve scalability and resource efficiency. • Build automation and internal tooling that streamline operational work, strengthen deployment safety, and support incident management, debugging, and capacity planning. • Contribute to infrastructure and delivery workflows across AWS, Terraform, Ansible, Linux, and GitHub Actions with a focus on dependable releases and resilient systems. • Partner with security and compliance stakeholders to support operational standards, audit readiness, and the integration of monitoring into broader engineering practices.
2026-06-22T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-06-11T00:00:00Z

IT Security Specialist

San Francisco, CA
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are looking for an IT Security Specialist to support daily cybersecurity operations for a growing organization in San Francisco, California. This contract position is ideal for a hands-on, detail-oriented security specialist who can independently investigate threats, strengthen vulnerability management practices, and collaborate across IT, compliance, and security teams. The role also contributes to employee security education, asset visibility, and incident documentation while helping maintain a strong operational security posture. This is a contract position and requires 4 days a week onsite in San Francisco. Responsibilities:• Monitor and assess security events generated by detection platforms, investigate suspicious activity, and escalate validated threats as needed.• Perform incident analysis to determine underlying causes, document conclusions, and recommend practical corrective actions.• Review data protection alerts for signs of policy breaches, unauthorized data movement, or insider risk, and coordinate escalation with appropriate stakeholders.• Refine data loss prevention rules and alert logic to improve signal quality while preserving effective monitoring coverage.• Maintain the enterprise asset inventory, verify device classification accuracy, and work with IT teams to address unknown or unmanaged assets.• Run automated penetration testing activities, evaluate attack path results, and partner with technical teams to prioritize and remediate identified weaknesses.• Oversee ongoing vulnerability scanning, interpret findings based on risk and asset importance, and track remediation progress through completion or documented exception.• Deliver security awareness sessions for new hires and support phishing simulation campaigns, including follow-up education for higher-risk user groups.• Coordinate security-related work across IT, compliance, and internal security partners while keeping operational procedures, runbooks, and incident records current.
2026-06-24T00:00:00Z