Job Responsibilities

- Lead a feature team and contribute hands-on to design, development, and production support.
- Design, develop, test, debug, and deploy microservices and batch/EOD components to deliver sprint-ready increments.
- Build resilient integrations (REST/event-driven) with upstream/downstream systems and data stores.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Ensure code quality through standards, automated testing, architectural checks, and code reviews/pairing.
- Provide accurate estimates, support story mapping/splitting, and contribute to backlog refinement and prioritization.
- Facilitate sprint ceremonies (planning, reviews/demos, retros) and communicate progress, risks, and trade-offs.
- Drive best practices across engineering (CI/CD, observability, performance, reliability, secure coding).
- Mentor and coach engineers, guiding solution design and raising team capability.

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 5+ years applied experience .
- Experience in building and supporting production software with Python and Java (Java 17+).
- Strong experience with Spring Boot, REST APIs,



and microservices design patterns.
- Solid CS fundamentals: OOAD, collections, and concurrency/multithreading with solid SQL skills (complex query development, troubleshooting, and performance considerations).
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on protected, compliant adoption within delivery practices
- Proven end-to-end ownership: design build test release ’ operate/support.
- Demonstrated technical leadership: code reviews, mentoring, setting standards, and leading delivery while remaining a strong IC contributor.
- Clear communication and stakeholder management; ability to translate complex concepts into pragmatic decisions.
- Strong quality mindset: testing strategy, CI/CD, reliability, and observability in day-to-day engineering.
- Experience working in Agile teams and translating business requirements into implementable designs.

Preferred qualifications, capabilities, and skills

- Financial services experience, ideally in commercial lending / loan servicing domains.
- Familiarity with commercial credit/loan products and lifecycle processes (servicing, EOD/batch, integrations).
- Experience with ACBS (or similar loan servicing platforms).
- Experience with Kafka or equivalent event streaming/data distribution technologies.
- Strong DevOps practices: CI/CD automation, deployment pipelines, monitoring/alerting, and incident support.

📌 Software Engineer (Hyderabad)
🏢 hackajob
📍 Hyderabad