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
Big Data • Information Technology • Software • Analytics • Energy
Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.
Top Skills:
AgentcoreArgoAWSAws BedrockClaudeClickhouseDockerGCPGoGrafanaHoneycombKafkaKubernetesLangchainMySQLPulumiPythonRustSentrySQLTerraform
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.
Top Skills:
AgentsAi FinopsAWSCloud ProvidersKnowledge BasesLlmsMarkdown StoresMcp GatewayMcp ServersMicrovmsObservability/TracingOpen-Weight ModelsVector Stores
Healthtech • Information Technology • Software • Telehealth
Lead architecture and development of a self-service spend management platform that moves money. Build reliable backend services, enforce budgets and spend tracking, mentor engineers, collaborate with Product/Design/Analytics, and integrate GenAI tools to improve spend recommendations and automation.
Top Skills:
.NetAWSGenerative Ai
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
