Role: Senior Software Engineer

Work Mode: 5 days WFO

Interview: Final interview is F2F at Gachibowli, Hyderabad.

Role Overview

Design and deliver scalable, high-performance automotive software systems powering vehicle history, data services, and transaction platforms. This role focuses on Java, React, and AWS cloud-native development, supporting high-volume APIs and real-time data solutions for dealers, lenders, and partners.

What Youll Do
Lead development of complex features, POCs, and scalable systems.
Design and build Java/Spring Boot microservices and REST APIs.
Develop cloud-native solutions on AWS with robust focus on performance, scalability, and reliability.
Implement and maintain CI/CD pipelines, test automation, and monitoring solutions.
Collaborate with cross-functional teams to refine requirements and deliver high-quality solutions.
Participate in full SDLC, including design, development, deployment, and support.
Conduct code/design reviews and mentor junior engineers.
Leverage AI coding assistants to improve productivity and code quality.

What you bring
8+ years building distributed, high-volume, multi-tenant systems.




Strong experience with Java, Spring Boot, microservices, and API development.
Hands-on experience with AWS (compute, storage, containers, security, monitoring).
Experience with event-driven systems and messaging (SQS, Kafka, ActiveMQ).
Experience with observability and monitoring tools (e.g., Splunk, Dynatrace, Datadog) for logging, tracing, and performance optimization.
Front-end experience with React, JavaScript, HTML/CSS.
Experience with PostgreSQL/DB2 and performance tuning.
Robust knowledge of Agile, SDLC, and engineering best practices.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar).

Contemporary engineering practices (Required)
Experience with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or similar).
Ability to effectively use AI tools for code generation, testing, and refactoring while ensuring quality and security.
Robust understanding of validating and reviewing AI-assisted code outputs to meet enterprise standards and compliance requirements.

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