Software Engineering Manager

Primary Responsibilities:

• Design, build, and maintain scalable backend services and APIs using Java and Python
• Architect and implement event-driven/microservices solutions using Kafka (topics, partitions, consumer groups, schemas, retries/DLQs)
• Model, optimize, and maintain relational and/or NoSQL databases (schema design, indexing, query tuning, migrations)
• Develop data processing pipelines (streaming and batch) with solid focus on reliability, observability, and performance
• Build and integrate AI/ML-powered features (model inference services, prompt orchestration, vector search, or ML pipelines) and collaborate with data science teams
• Ensure production readiness: CI/CD, automated testing, monitoring/alerting, and incident response/root-cause analysis
• Enforce engineering best practices: code reviews, secure coding, documentation, and mentoring junior engineers
• Collaborate cross-functionally with product, QA, platform/SRE, and stakeholders to deliver roadmap initiatives

Required Qualifications:

• 12+ years of professional software engineering experience building backend systems in Java and/or Python
• Solid experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency
• Experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns)
• Proven experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools)
• Hands-on expertise with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning)
• Solid understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD
• Proven solid problem-solving, communication, and ability to lead technical design discussions