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Tier-1 brand, generalist senior backend title, and metro location increase competition.
Backend cloud and microservices skills transfer across industries, finance domain experience is only a plus.
Explicit 8–12 years plus mandatory Python, AWS, microservices, CI/CD, and Kubernetes make filtering strict.
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Architect, design, and develop scalable, resilient, enterprise-grade cloud-native products, leading technical projects end-to-end in the AI and Analytics SaaS platform for financial crime solutions.
Lead and own the technical roadmap for high-availability systems, ensuring performance, reliability, security, and operational cost efficiency on AWS.
Provide expert-level technical guidance, mentorship, and code reviews; implement infrastructure automation and monitoring; lead SAFe agile ceremonies.
8-12 years of professional software engineering experience within a development team (not support).
Expert proficiency in Python with experience designing complex microservices on AWS cloud from scratch.
Strong hands-on experience with AWS services like API Gateway, Lambda, AWS Glue, Step Functions, S3, CloudWatch, DynamoDB, SQS, and containerization technologies including Docker and Kubernetes (EKS/ECS).
Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field.
Experienced in building and operating complex, high-volume data pipeline systems in cloud environments with a strong focus on CI/CD, DevOps, and automation.
Technical leader comfortable working in Agile environments, leading SAFe ceremonies, and collaborating across multidisciplinary teams to meet business goals.
Familiarity or background in Finance, Fraud detection, Anti-Money Laundering domains, and exposure to generative AI tools like GitHub Copilot is a strong plus.