Top Software Engineer Jobs in Hyderabad

The Software Engineer is responsible primarily for complying with company policies, procedures, business directives, work-location requirements, team assignments, schedules, and flexible work arrangements. The position requires an undergraduate degree or equivalent experience and supports Optum’s broader technology-enabled healthcare mission.

Develops and maintains secure, high-quality Java software for card streaming and modernization systems. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role uses Kafka, cloud technologies, event-driven architecture, and potentially Spark or Flink. It also requires responsible use of AI-assisted development tools, adherence to security and resiliency standards, and collaboration within an agile environment.

Architects and builds large-scale distributed data platform components, ingestion systems, foundational libraries, and backend infrastructure. The role requires hands-on Java engineering, JVM performance tuning, Kubernetes operations, data lake technologies, fault-tolerant architecture, and scalable streaming or batch processing. Responsibilities include technical leadership, cross-team collaboration, production troubleshooting, technology evaluation, and enforcing engineering best practices for reliable, high-performance systems.

Develops secure, scalable Java software and microservices for consumer banking platforms. Responsibilities include system and solution design, production support, migrations, APIs, database and messaging systems, observability, automated testing, CI/CD, and secure development. Uses AI-assisted engineering tools to accelerate coding, testing, documentation, and solution assembly while validating outputs. Leads a small team and supports application resiliency, operational stability, and continuous improvement.

Develop and deliver full-stack features using Java, Spring Boot, and React or Angular. Build resilient Kafka-based services and integrations, maintain SQL and NoSQL data systems, improve CI/CD and automated testing, and strengthen production readiness through monitoring, alerting, dashboards, and runbooks. Mentor engineers, conduct design and code reviews, apply secure engineering practices, and evaluate enterprise-authorized AI-assisted development outputs.

Design, develop, test, and support full-stack Java applications, APIs, microservices, databases, and cloud-native solutions. Build automated UI and API testing frameworks using JUnit, Playwright, and Selenium; optimize performance, scalability, reliability, and queries; troubleshoot across application layers; support CI/CD and quality engineering initiatives; and contribute to AI-driven testing while developing healthcare benefits domain expertise.

Develops secure, scalable software solutions within an agile team at JPMorganChase’s Paid Media Team. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, reporting, and operational stability. The role uses AI-assisted development tools responsibly to improve coding productivity and quality, while applying software development lifecycle practices, CI/CD, resiliency, and security principles. Familiarity with front-end and cloud technologies is preferred.

Develops secure, scalable software solutions within an agile Paid Media team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, reporting, and improving system quality and resilience. The role uses AI-assisted development tools responsibly, validates generated outputs, supports automation, and contributes to secure coding and engineering practices. Candidates need 3+ years of software engineering experience, system design and application development skills, SDLC knowledge, and familiarity with modern front-end or cloud technologies.

Develop and maintain full-stack enterprise applications using .NET, C#, ASP.NET, WCF, and SQL Server. Design database schemas, stored procedures, functions, triggers, and migration scripts using T-SQL. Participate in Agile development, code reviews, debugging, performance optimization, mentoring, and technical guidance. Apply software security practices and responsible AI principles. Leverage AI tools for coding, testing, documentation, and optimization while evaluating generated code for quality and security.

Lead the design, development, and maintenance of scalable .NET microservices across Azure and AWS. Establish CI/CD, automated testing, infrastructure as code, and cloud optimization practices. Diagnose application issues, improve scalability and availability, and provide technical leadership through architecture, code reviews, design documentation, mentoring, and proof-of-concept development. Build solutions using Kubernetes, Cosmos DB, Azure services, modern front-end frameworks, AI tools, and RESTful APIs.

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping and deployment.

Own complex software features, services, integrations, and technical workstreams from design through production. Solve ambiguous engineering problems, make project-level technical decisions, improve reliability and scalability, and apply secure engineering practices. Use AI-assisted development tools responsibly, diagnose production issues, and guide other engineers through reviews, collaboration, and knowledge sharing. The role focuses on enterprise technology, cloud environments, automated testing, observability, and maintainable production systems.

Design, develop, and deliver scalable full-stack software applications. Build frontend and backend systems, REST APIs, database integrations, and external service connections. Integrate and evaluate LLMs using APIs, prompt engineering, and RAG techniques. Apply software engineering best practices, testing, debugging, performance optimization, and AI-assisted development tools while owning features through deployment and collaborating cross-functionally.

Develop and maintain SAP ABAP RAP applications, including CDS views, behavior definitions, OData V4 services, Fiori Elements integrations, validations, authorizations, testing, debugging, and deployment support. Apply clean-core and ABAP Cloud standards while collaborating across functional, UI, integration, security, and architecture teams. Leverage AI tools for development, testing, documentation, troubleshooting, and automation, while ensuring responsible AI governance, security, privacy, and human oversight.

Designs, builds, and operates reliable Azure infrastructure for data platforms. Develops Terraform infrastructure as code, CI/CD pipelines, observability, SLOs, incident response processes, and automation. Partners with security and governance teams on Azure policies, RBAC, and platform guardrails. Mentors engineers and drives engineering standards. The role requires strong Azure, Terraform, DevOps, scripting, monitoring, and incident management experience, with preferred experience in data services, Kubernetes, certifications, and regulated industries.

Design and develop scalable Java backend services, APIs, and distributed systems. Own features from design through delivery, collaborate with product managers, implement automated testing, conduct code reviews, and optimize performance, reliability, observability, and production readiness. The role also involves troubleshooting complex systems, validating AI-powered workflows, and promoting engineering craftsmanship and knowledge sharing.

Design, develop, and maintain Linux-based NAS appliance software using Python and Bash. Work on storage, filesystem, packaging, deployment, upgrades, lifecycle management, and platform services. Diagnose complex operating system, virtualization, multithreaded, and I/O issues in customer environments. Optimize XFS and ext4 performance, build automated tests, collaborate on high-severity escalations, and influence platform architecture. The role also involves low-level systems integration, CI pipelines, and responsible use of AI-assisted development tools.

Develop and maintain scalable Python test automation frameworks for cloud security products. Collaborate with engineering teams, test software at scale, troubleshoot complex production customer issues, and provide debugging insights. Integrate automated test APIs into Jenkins and GitLab CI/CD pipelines while building tools that improve testing workflows and engineering productivity. The role also involves diagnosing networking, cloud infrastructure, HTTP/HTTPS, and TLS issues.

Lead the technical direction and development of a scalable integrations platform using Java, Kafka, Kubernetes, and cloud services. Design reliable event-driven systems, manage architecture and technical roadmaps, oversee operational health, and deliver major projects end to end. Mentor engineers, establish engineering standards, collaborate with product and customer teams, and improve resilience, observability, security, and performance across integrations with systems such as GitHub and ServiceNow.

Leads software engineering initiatives centered on ServiceNow development, configuration, integrations, workflows, scripting, testing, and platform optimization. Designs scalable solutions using ServiceNow best practices, CMDB, Flow Designer, JavaScript, REST/SOAP, and Glide APIs. Collaborates with product owners, business analysts, and cross-functional teams to translate requirements into solutions, integrate generative AI and conversational capabilities, support testing, conduct code reviews, and mentor less experienced staff.

Own the architecture, roadmap, and performance of ServiceNow’s front-end platform and framework. Build reusable component systems, lead cross-team technical initiatives, resolve complex production issues, guide architecture and code reviews, mentor engineers, establish AI-assisted development guardrails, and partner with product and design. The role requires extensive front-end platform experience, deep JavaScript and TypeScript expertise, modern UI framework knowledge, performance optimization skills, and staff-level technical leadership.

Lead the design, development, and production operation of large-scale cloud-native platform components. Build Kubernetes operators, controllers, infrastructure automation, and platform services using Go. Drive technical strategy, reliability, scalability, observability, and operational excellence across managed and self-managed Kubernetes environments. Mentor engineers, lead complex initiatives, collaborate with senior architects, and support distributed, stateful workloads on public clouds.

Leads the design, development, and operation of large-scale Kubernetes platform services. Owns complex cloud-native components from architecture through production, develops operators and controllers in Go, drives reliability and scalability, mentors engineers, manages technical risks, and partners on platform strategy. The role requires extensive distributed systems, public cloud, stateful workload, automation, observability, CI/CD, and infrastructure-as-code experience.

Leads software engineering for secure, scalable, production-grade applications within an agile banking technology team. Designs and develops Java-based microservices, Kafka event-streaming platforms, and high-volume Apache Flink or Spark data pipelines. Provides technical direction, reviews code, improves system operability and resiliency, evaluates architectures, and drives adoption of approved AI-assisted development practices. Collaborates with vendors and internal stakeholders while mentoring teams and promoting engineering best practices.

Design, develop, and maintain scalable full-stack software components and user experiences. Own features from design through delivery, collaborate with product managers, integrate automated testing into CI/CD pipelines, and contribute to code and design reviews. Develop functional, regression, integration, and performance test strategies while optimizing reliability, observability, and performance. Apply AI-powered tools and workflows to software engineering and quality practices.