Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.
Integration Engineer (Java API)
- 8+ years of software development experience.
- Strong expertise in Java, Spring Boot, and Angular.
- Experience working with cloud platforms (GCP, Azure) and end-to-end DevOps pipelines.
- Solid foundation in data structures, algorithms, concurrency, and design patterns.
- 3+ years building and maintaining RESTful APIs, microservices, and backend systems.
- Hands-on experience establishing and maintaining CI/CD pipelines.
- Strong skills with relational and/or NoSQL databases.
- Experience coordinating release cycles, preparing release notes, and ensuring release readiness.
- Experience supporting production deployments and performing post‑deployment validation.
- Strong understanding of Agile methodologies and sprint planning.
- Excellent communication and cross-functional collaboration skills.
- Ability to lead technical discussions and mentor junior engineers.
- High level of ownership and ability to operate with minimal guidance.
- Background in roles combining development + release/operations.
- Experience with Application & Performance Monitoring tools.
- Knowledge of Pub/Sub, Kafka, or other event-driven messaging systems.
- Exposure to SRE/DevOps practices, including incident management and root-cause analysis.
Preferred Qualifications
- Experience in healthcare domains (PBM, NCPDP, HIPAA).
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead modernization of General Motors’ embedded-software build infrastructure by migrating legacy Make and shell workflows to Bazel. Design reusable rules, toolchains, platforms, and repository standards; integrate build systems with CI/CD, testing, release, security, and artifact workflows; and improve reproducibility, performance, reliability, and developer productivity. The role also involves mentoring engineers, guiding strategy, measuring migration outcomes, and evaluating AI-enabled engineering workflows.
Top Skills:
BazelCi/CdCross-CompilationEmbedded SystemsFirmwareMakePythonShellSoftware-Defined VehiclesToolchains
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provides field-based automotive diagnostic, repair, and technical support to GM dealerships. Resolves escalated vehicle issues, supports potential repurchase cases, evaluates dealership service readiness, trains dealer personnel, manages dispatch cases, and communicates product-quality findings to GM engineering and service teams. The role also supports warranty-cost reduction, dealer comeback processes, customer relationships, arbitration matters, and technician recruitment while traveling frequently throughout the assigned territory.
Top Skills:
Automotive Diagnostic EquipmentLan/WanMS OfficePicoscopeTechline Diagnostic Tools
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.
Top Skills:
AspiceAutosarAWSAzureCi/CdFmuGCPGitopsHilIso 26262KubernetesMisraSilSspTerraformVecu
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
