Software Engineer III

Team: Product Development

Location: Hyderabad, Chennai

Commitment: Full-time

Workplace Type: hybrid

Key Responsibilities

• Lead system design and technical implementation for complex features, with emphasis on reliability,
performance, maintainability, and security.
• Develop and enhance cloud-native solutions using AWS and modern deployment practices such as
CI/CD, containerization, and observability.
• Integrate AI and generative AI capabilities into products and platforms, including intelligent workflows,
automation, and context-aware user experiences.
• Collaborate with product managers, UX, architects, and operations teams to translate business needs
into production-ready technical solutions.
• Mentor junior engineers through code reviews, design guidance, and engineering best practices.
• Drive continuous improvement in software quality, development standards, operational readiness, and
technical documentation.
• Contribute to troubleshooting, performance optimization, and root-cause analysis across development
and production environments.
• Design and build scalable enterprise applications, backend services, and APIs that support
high-availability workloads.

Qualifications

• 8+ years of software engineering experience, with demonstrated success delivering production-grade
applications and backend systems.
• Strong backend development experience using technologies such as .NET / C#, Java, Python, or
similar server-side platforms.
• Hands-on experience with SQL Server or other relational databases, including schema design, query
optimization, and data access patterns.
• Proven experience building scalable APIs, microservices, and distributed systems.
• Strong knowledge of software engineering fundamentals, including object-oriented design, testing,
code quality, and secure development practices.
• Experience working in cloud environments, with AWS preferred.
• Strong communication, collaboration, and problem-solving skills, with the ability to work effectively in agile engineering teams.
• Experience integrating AI / ML or generative AI capabilities into software products and business
workflows.
• Working knowledge of Large Language Models (LLMs), prompt design, retrieval-augmented
generation (RAG), and AI service orchestration.
• Familiarity with building intelligent assistants, workflow automation, recommendation features, or
agent-based systems.
• Understanding of vector databases, embeddings, semantic search, and data pipelines that support
AI-driven experiences.
• Awareness of responsible AI practices, including evaluation, monitoring, safety, privacy, and
governance considerations.

Preferred Qualifications

• Experience with modern DevOps tooling, CI/CD pipelines, infrastructure automation, and monitoring
platforms.
• Exposure to both Windows and Linux environments, scripting, and production support practices.
• Experience working on enterprise, SaaS, retail, payments, or transactional systems is a plus.
• Ability to influence technical direction, break down ambiguous problems, and independently drive
initiatives to completion.

Behavioral Competencies

Ensures Accountability
Manages Complexity
Communicates Effectively
Balances Stakeholders
Collaborates Effectively