Job Summary

We are seeking a Software Engineer Lead to design, develop, deploy, and support scalable, secure, cloud-native applications and backend services.

The role combines technical leadership with end-to-end delivery across regulated business processes. The role involves building high-performance APIs, microservices, document-processing workflows, data-transformation pipelines, cloud integrations, and production-grade software for complex business processes, including healthcare and regulated-domain use cases.

Expectations

- Acts as a Technical Lead within the team or platform
- Owns and drives complex technical initiatives with minimal oversight
- Influences architecture beyond immediate deliverables
- Proactively identifies risks, scalability concerns, and long-term design trade-offs.

Primary Responsibilities
- Architect, design, develop, and deliver scalable, secure, and maintainable backend platforms, APIs, and microservices
- Build production-quality Python applications using frameworks such as FastAPI, Flask, or equivalent technologies
- Own the end-to-end software lifecycle, including design, development, testing, deployment, monitoring, performance tuning, troubleshooting, and production support
- Develop document-ingestion, PDF-processing, data-extraction, data-normalization, and business-rule-based transformation workflows
- Design and implement integrations with cloud services for compute, storage, databases, messaging, networking, security, monitoring, and analytics
- Build asynchronous, concurrent, event-driven, or streaming workflows where appropriate
- Apply engineering best practices, including automated testing, code reviews, secure coding, observability, structured logging, auditability, and effective error handling
- Collaborate with product,



architecture, security, DevOps, governance, QA, and business teams to deliver compliant and maintainable solutions
- Mentor junior engineers and technical guidance through design reviews, code reviews, and knowledge sharing
- Use modern AI-assisted and agentic software-development practices to improve requirements analysis, design, coding, testing, debugging, documentation, and review
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications
- B.Tech, M.Tech, or equivalent degree in Computer Science Engineering / Information Technology, or a related field
- 5+ years of qualified software engineering experience developing and supporting scalable backend applications, APIs, microservices, or cloud-native platforms
- Solid hands-on experience with FastAPI, Flask, or a similar backend framework
- Experience with asynchronous programming, concurrency, background processing, and event-driven application design
- Proven experience designing developing large backend systems and RESTful APIs
- Extensive hands-on experience with at least one major cloud platform, including GCP / AWS / Microsoft Azure, or an equivalent public/private/hybrid cloud environment
- Experience with PDF processing,



PyMuPDF libraries, document understanding, table extraction, OCR or multimodal document workflows
- Experience working with LLMs, Prompt engineering, Retrieval-Augmented Generation, or AI-assisted process automation, will be an added advantage
- Experience deploying, operating, monitoring, and supporting production-grade applications in a cloud environment
- Proven experience with SQL and NoSQL databases, data modeling, indexing strategies, query optimization, and performance tuning
- Experience with automated testing using tools such as pytest, including unit, integration, API, or end-to-end testing
- Working knowledge of Kubernetes or an equivalent container-orchestration platform, including deployment, scaling, resiliency, health checks, and troubleshooting
- Familiarity with Google ADK/LangChain/MCP/Microsoft Semantic Kernel/Amazon Bedrock Agents, or similar frameworks, will be an added advantage
- Solid understanding of cloud architecture, networking, IAM, security, monitoring, high availability, disaster recovery, and cost optimization
- Expert-level proficiency in Python writing modular/maintainable/prod-grade code
- Proven ability to identify architectural bottlenecks, investigate complex production issues, and propose scalable and reliable solutions
- Proven solid communication, collaboration, problem-solving, and tech documentation skills
- Proven solid software engineering, backend, cloud, testing, and production-support experience are essential
- Expert Python skills, backend framework expertise, cloud deployment experience, and production-support capability

Preferred Qualification
- Generative AI, Agentic AI, and AI-assisted coding experience

📌 Software Engineering Lead (Hyderabad)
🏢 Optum
📍 Hyderabad