Live opening · Posted 14 days ago
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Description supplied by the original job listing.
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.
Experience
12-16 yrs
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