Lead design and implementation of scalable full‑stack web and integration platforms, modernize legacy code, provision infrastructure as code, ensure observability, troubleshoot production, and mentor a team of full‑stack engineers.
The Staff Software Engineer is responsible for leading the team that supports and enhances the code base used for company’s administrative and reporting tools. Responsible for all development practices for the web and services (integration) platform. Lead the implementation of the full stack web experience. Work closely with UX/UI department in leading the technical vision for our products. Collaborate with designers, product managers, and developers to deliver compelling and efficient tools/products. Identify and resolve performance and scalability issues. Lead, coach and train a team of full stack developers.
Responsibilities- Architect, design and implement highly efficient and scalable applications, with robust observability and monitoring solutions
- Proactively monitor and analyze system performance, identifying and addressing bottlenecks and potential issues before they impact users
- Refactor and modernize of the legacy codebase improving maintainability
- Responsible for provisioning application infrastructure from code
- Work as on-call support to troubleshoot production issues and provide resolution.
- Responsible for solving complex scalability, platform, and integration problems.
- Mentor and provide technical leadership to other engineers in the team
- Lead technical design sessions, creating detailed system diagrams and documentation that guide development teams
- Should be proficient in both application development, application support and maintenance of production systems.
- Minimum 10-15 years of application design and development experience
- Expert level knowledge and experience with Java 17 and above
- Expert level knowledge and experience with Spring Framework
- Expert knowledge and experience of developing and consuming Web Services using REST.
- Expert knowledge with Spring boot micro-services, API development and API security.
- Experience working with implementing API authorization using IDaaS providers such as Auth0, Azure AD, AWS Cognito
- Experience working in relational databases: Postgres/MySQL
- Experience writing unit and integration test, preferred Junit, Mockito.
- Experience designing and implementing CI/CD pipelines.
- Experience of working on Kafka or similar messaging system
- Experience in provisioning Infrastructure-as-code
- Proven ability to integrate observability tools and telemetry standards such as OpenTelemetry.
- Excellent problem-solving, communication, and collaboration skills
- Preferred Skills:
- Experience with Agile Scrum
- Experience with TDD and Pair Programming
- Experience with modern CI/CD tools and deployment pipelines
- Experience with Git/Github
- Experience with AWS
- Experience with containerization tools like Docker, Kubernetes, Helm
- Experience with Full stack development using HTML5, JavaScript, TypeScript, React
- Hands-on experience with OpenTelemetry is highly desired
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.
Top Skills:
Generative AiGoJava
Healthtech • Social Impact • Software • Telehealth
Serve as the technical IC leader for the Provider organization: set technical roadmap and engineering standards, design and review architectures, drive cross-team initiatives, mentor engineers, and deliver high-throughput, low-latency, cloud-based microservice systems for provider-focused products.
Top Skills:
Cloud InfrastructureDistributed SystemsMicroservicesNoSQLSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate production-grade Java and Python microservices for AI-native features. Own APIs, distributed systems, Kubernetes deployments, AI model integrations, observability, and technical leadership across cross-functional teams.
Top Skills:
AnthropicGoogle Ai SdksGrafanaInstanaJavaKafkaKubernetesOpenaiOpenshiftPostgresPrometheusPythonRabbitMQRedisS3-Compatible Object Storage
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
