About the role
Responsibilities:
- Lead and manage a Scrum team of 10-15 engineers across backend, frontend, QA, and AI/ML disciplines, owning delivery, quality, and team health.
- Champion hexagonal architecture (ports and adapters) across services, ensuring domain logic remains decoupled from persistence, messaging, and external integrations.
- Drive engineering delivery across Java-based backend services, Python-based AI pipelines, event-driven Kafka systems, and modern data layers (MongoDB, PostgreSQL, Cosmos DB).
- Foster an AI-native engineering culture integrating scoring systems, MCP tools, and agentic platform patterns into everyday development practices.
- Establish and continuously improve engineering best practices, including clean service boundaries, schema-first API design, CI/CD quality gates, and observability standards.
- Mentor and coach engineers consistently, acting as a strong technical and career guide.
- Define and support career growth paths, skill development, and a culture of ownership and continuous learning.
- Conduct performance evaluations and drive meaningful growth conversations.
- Collaborate closely with product managers, AI/ML engineers, platform architects, and design teams to plan and deliver in an Agile environment.
- Align engineering execution with broader platform strategy and business outcomes.
- Operate effectively in a fast-paced, high-ambiguity environment with evolving priorities and cross-team dependencies.
Requirements:
- 10+ years of software engineering experience, with 3+ years in people management roles.
- Strong backend expertise in Java (Spring Boot 3x), with the ability to guide architecture decisions and unblock teams.
- Hands-on experience building services using hexagonal architecture (ports and adapters), including domain isolation and adapter-driven integrations.
- Experience working with modern data and messaging systems such as MongoDB, PostgreSQL, Cosmos DB, and Kafka.
- Proven experience building and operating large-scale SaaS platforms on AWS (EKS, MSK/Kafka, Elasticsearch, Redis/Aerospike).
- Strong understanding of distributed systems concepts, including service boundaries, data consistency, and event-driven architecture.
- Experience leading teams delivering high-quality microservices in Agile/Scrum environments.