Description

Key Responsibilities

Agile Delivery & Scrum Participation

• Actively participate in Agile ceremonies including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Collaborate with cross-functional teams to ensure successful sprint execution and delivery.

Stakeholder Communication

• Provide clear and concise status updates to technical and business stakeholders.
• Communicate project progress, risks, dependencies, and mitigation plans effectively.

Release Management & Production Support

• Support production deployments and release activities.
• Troubleshoot production issues, perform root cause analysis (RCA), and coordinate resolution efforts.
• Ensure system reliability and operational excellence.

Requirements Gathering & Estimation

• Work closely with Product Owners and business stakeholders to gather and refine requirements.
• Break down requirements into actionable deliverables and provide effort estimates.

Architecture & Distributed Systems

• Design, develop, and troubleshoot microservices and distributed applications.
• Debug and resolve issues across APIs, messaging systems, event streams, and service integrations.

Required Qualifications

• 5–8 years of professional software engineering experience.
• Strong experience delivering enterprise applications across the full software development lifecycle.
• Advanced proficiency in Java (Java 8+) and Spring Boot.
• Hands-on experience developing and supporting microservices architectures.
• Strong Python development experience for backend services, automation, orchestration, or AI-related solutions.
• Production experience with Apache Kafka and event-driven architectures.
• Experience with:
  • Kafka producers and consumers
  • Topic design and management
  • Error handling and monitoring
  • Kafka Streams and/or Flink (preferred)
• Experience integrating AI/ML solutions, LLM APIs, or machine learning platforms into enterprise applications.
• Understanding of ML lifecycle concepts including data preparation, feature engineering, and model evaluation.
• Exposure to cloud platforms such as AWS, Azure, or GCP is preferred.
• Cloud certifications are a plus.

Preferred Skills

• Microservices design patterns
• Distributed systems troubleshooting
• API development and integration
• Event-driven architecture
• CI/CD and DevOps practices
• Observability, monitoring, and resiliency engineering

Key Skills

Education

Bachelor's degree