- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.

- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.

- Stay informed of industry technology trends and innovations and actively contribute to the organizations technology communities to foster a culture of technical excellence and growth.

- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

To be successful in this role, you should have experience with :

- Designing and delivering cloud native, event driven, microservices aligned architectures using AWS (Lambda, S3, Glue, Athena, CloudWatch), Hadoop/Spark, Kafka, and related data engineering tooling.

Building low latency data pipelines, real time analytics engines, and enterprise data models for front office and financing workloads.

- Driving strong engineering discipline - code reviews, automated validation, performance tuning, observability, and enterprise grade CI/CD practices.

- Partnering with global architects and senior stakeholders to convert conceptual designs into production ready components, and leading Agile delivery with clear requirements, estimation, and end to end ownership.

- Ensuring production readiness across resilience, monitoring, alerting, data integrity, and operational stability, while supporting RTB operations through incident triage, RCA, and robust fixes.

- Non-negotiable competencies: AWS, Python, low latency engineering, and experience working in globally distributed environments.

Some of the Highly Valued Skills may include :

1. Strong collaboration with stakeholders across Prime Services, SBL, Funding, PnL, and Risk, coupled with solid capital markets domain knowledge.

2. Technical leadership through coaching, code/design reviews, knowledge sharing, and building reusable frameworks and engineering assets that accelerate modernization.

- Demonstrating engineering excellence via PoCs, architecture reviews, and continuous improvement, while ensuring high standards in testing, non-functional readiness, observability, and resilience.

- Good to have : AI/ML (RAG, agentic workflows), Java + microservices, Angular, and data products/data governance exposure and exposure to Snowflake, Databricks.

- You may be assessed on critical success skills such as Risk & Controls, Change & Transformation, Business Acumen & Strategic Thinking, Digital & Technology Skills, Deep technical expertise in cloud engineering, data engineering, AI-driven development, and platform modernization.