Manager-Staff Software Engineer

Responsibilities
Technical Leadership

• Drive technical strategy and architecture for complex distributed systems and core platform components.
• Own end-to-end delivery of high-impact, multi-team engineering initiatives.
• Translate ambiguous business requirements into clear, pragmatic technical solutions.

• Define technical roadmaps, sequence projects into phases, and ensure timely execution across teams.

  Software Engineering & System Design

• Architect, develop, and optimize microservices using Java, Spring Boot, Spring Cloud.
• Design scalable, resilient, secure cloud-native applications using Azure/AWS.
• Lead system design reviews, architecture discussions, and technical deep dives.
• Solve complex cross-system issues through deep debugging, performance tuning, and root cause analysis.

• Build frameworks and shared libraries to accelerate development across squads.

  AI & Engineering Productivity

• Champion adoption of AI-assisted development practices and LLM/GenAI tools across engineering teams to enhance workflows, improve cycle time, and automate routine tasks.
• Define clear guidelines, training, and standards for effective and secure use of AI tools, including prompt engineering, code generation, and review expectations.
• Integrate AI-driven capabilities such as code generation, unit test creation, log analysis, documentation summarization, and code review assistance into the development workflow.
• Establish and enforce engineering best practices for AI-generated code, including human-in-the-loop reviews, coding standards, test automation, secure coding, and design-first development.

• Measure and optimize engineering productivity using AI-related metrics (cycle time, PR throughput, AI-code adoption, defect escape rate, developer satisfaction) and continuously identify opportunities to reduce bottlenecks with AI.

  Collaboration & Cross-Functional Impact

• Work closely with Product Owners, Architects, QE, DevOps, and peer engineering teams.
• Communicate technical trade-offs, risks, and decisions clearly to non-technical stakeholders.
• Coordinate across teams to resolve dependencies and align on architectural standards.

• Influence technical direction beyond your immediate team.

  Team Leadership & Mentoring

• Mentor engineers across multiple teams, guiding them in design, coding, debugging, and best practices.
• Participate actively in hiring and talent development.
• Raise the engineering bar through code reviews, design critiques, and technical leadership.

• Help define and uphold engineering best practices, coding standards, and architectural principles.

  Ownership & Operational Excellence

• Take full ownership of systems from development to deployment, monitoring, and maintenance.
• Ensure engineering deliverables meet performance, reliability, and security criteria.
• Proactively identify areas for improvement and propose scalable, maintainable solutions.

• Lead incident response, post-mortems, and continuous improvement initiatives.

  Skills and Qualifications
  Must-Have

• 10+ years of backend development experience, with deep expertise in Java, Spring Boot, and Spring Cloud building microservices-based architectures.
• Proven track record shipping scalable, high-availability, high-performance systems including horizontal scaling, observability, and fault-tolerant design.
• Strong experience with distributed-system patterns: Kafka (or similar), caching, and asynchronous processing.
• Hands-on experience applying LLMs/GenAI to improve engineering productivity and developer workflows.
• Experience with at least one of: Domain-Driven Design, event-driven systems, CQRS, or enterprise integration patterns.
• Prompt engineering experience and familiarity with integrating models into applications.
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
• Working knowledge of relational and NoSQL databases (e.g., PostgreSQL, MySQL, Oracle, MongoDB).
• Experience designing and scaling systems on Azure cloud platform.
• Excellent problem-solving, debugging, and system-level thinking.

• Strong communication skills and the ability to lead teams, influence stakeholders, and drive technical initiatives.

  Good-to-Have

• Familiarity with Linux systems and container-based deployment architectures.
• Experience with application servers such as Tomcat.
• Contr…