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Strong brand, hybrid role, mid-level generalist backend in Pune increases applicant competition.
Core cloud, Python, and microservices skills are highly transferable across industries despite finance domain preference.
Explicit 4-8 years plus mandatory Python, AWS, GenAI, microservices and CI/CD requirements make filters stringent.
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Design and develop scalable, resilient, enterprise-grade cloud-native products on AWS within the AI Platform for financial crime solutions.
Lead technical tasks end-to-end, ensuring alignment with business goals and high availability, performance, security, and cost efficiency.
Provide technical leadership including mentorship, expert code reviews, and collaboration across multi-disciplinary Agile teams.
4-8 years of professional software engineering experience (in development teams, not support).
Expert proficiency in Python and AWS cloud native solution development including designing and deploying microservices, containerization (Docker, EKS/ECS).
Experience building GenAI products using AWS Bedrock and OpenAI, with strong prompt engineering skills.
Proficiency with CI/CD tools (Jenkins, Docker, Kubernetes), DevOps tools (JIRA, Confluence, Terraform), and deep knowledge of AWS services (API Gateway, Glue, EC2, Lambda, S3, CloudWatch, DynamoDB, SQS).
Experienced software engineer capable of owning entire lifecycle of complex microservices on AWS including architecture, deployment, and maintenance.
Technical leader skilled in AI/GenAI platforms, cloud-native development, and financial crime domain solutions.
Operates well in agile, collaborative environments, driving technical innovation and continuous improvement in platform and product capabilities.