Technical Lead - Java

Responsibilities

• Architect and Design highly scalable, event-driven microservices for data compliance workflows.
• Lead Technical Delivery of own end-to-end system design, from proof-of-concept to production.
• Drive Cloud-Native Adoption by leveraging containerization, orchestration, and cloud services (AWS/Azure).
• Implement Observability design logging, monitoring, and tracing solutions (e. g., ELK, Datadog, OpenTelemetry).
• Champion SRE Practices build resilience, automate operational processes, and ensure platform SLAs.
• Optimize Data Storage design and manage NoSQL database usage (MongoDB, Cassandra, or DynamoDB).
• Mentor Engineers foster technical excellence, guide architectural decisions, and lead by example.
• Collaborate Cross-Functionally partner with product, compliance, and infrastructure teams to align on business goals.
  

Requirements

• 10+ years of professional software development experience, with 3+ years in a technical leadership role.
• Proven track record in building distributed, event-driven, microservices-based applications in Java.
• Strong understanding of cloud platforms (AWS) and cloud-native architectures.
• Experience in CI/CD pipelines and automated deployment strategies.
• Expertise in observability tools and concepts, metrics, logs, traces, and dashboards.
• Solid grasp of SRE principles, incident management, chaos engineering, and capacity planning.
• Hands-on with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc. ).
• Strong expertise in Domain-Driven Design (DDD) for large-scale, complex systems.
• Experience in Platform Engineering building reusable, scalable, and self-service infrastructure capabilities for multiple teams.
• Strong problem-solving skills and ability to make trade-offs in architecture and design.
• Excellent communication skills with the ability to explain complex technical topics to diverse audiences.
  

Good To Have

• Experience in data governance, compliance, or security domains.
• Knowledge of stream processing frameworks (Kafka Streams, Flink, Spark Streaming).