Top Software Engineer Jobs in Hyderabad

Develops secure, scalable Java backend software within an agile team. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, operational stability, and improving application quality. The role uses Spring Boot, Kafka, microservices, CI/CD, and enterprise-authorized AI coding tools while validating generated outputs for security, performance, and correctness. The engineer also contributes to engineering communities and guides responsible AI use.

Develops cloud-native software and infrastructure-as-code solutions using Terraform, AWS, and Golang. Builds reusable Terraform modules, APIs, microservices, event-driven systems, and asynchronous workflows. Troubleshoots infrastructure deployments, supports CI/CD automation, and ensures scalability, security, resiliency, and compliance. Collaborates with application teams and uses AI-assisted development tools responsibly to improve engineering productivity and code quality.

Develops secure, high-quality software for banking data products, including migration, reconciliation, and data publishing tools. Responsibilities include system design, backend and ETL development, AWS cloud deployment, database development, testing, CI/CD, troubleshooting, architecture documentation, and data analysis. The role also promotes responsible AI-assisted development, contributes to engineering communities, and mentors or leads technical initiatives.

Develops secure, scalable Java software for JPMorganChase’s Consumer and Community Banking technology teams. Responsibilities include system design, application development, debugging, testing, architecture documentation, production stability, data analysis, and troubleshooting. The role uses AI-assisted development tools responsibly to improve coding, testing, documentation, and delivery while validating outputs for security and correctness. Candidates need 3+ years of software engineering experience, SDLC and agile knowledge, and experience with system design, modern programming languages, and database querying.

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.

Lead software engineering efforts within an agile financial services team by designing, developing, testing, debugging, and supporting secure, scalable applications. The role requires advanced Java, Python, Spark, AWS, and SQL expertise, cloud-native experience, SDLC proficiency, and operational resiliency knowledge. It also involves promoting responsible AI-assisted development, automating recurring remediation, reviewing code, and evaluating vendor and architectural solutions.

Develops secure, scalable full-stack software for JPMorgan Chase’s infrastructure platforms. Responsibilities include Python backend development, React and AngularJS frontend work, API development, architecture and design, troubleshooting, data analysis, cloud deployment, CI/CD, and secure use of AI-assisted development tools. The role also involves maintaining resilient applications, applying Agile practices, managing source control, and collaborating in a large corporate environment.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, and mobile technologies. Troubleshoot production issues, implement cloud and AI/data best practices, and collaborate with global teams on digital transformation. The role follows Agile, CI/CD, and DevOps practices.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, Swift, and React Native. Troubleshoot production issues, implement cloud and AI/data best practices, collaborate with global teams, and follow Agile, CI/CD, and DevOps practices.

Develop and maintain cloud-native full-stack applications, APIs, and databases using modern front-end and back-end technologies. Troubleshoot production issues, apply cloud and DevOps best practices, and collaborate with global Agile teams on digital and AI transformation initiatives.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. The role also involves CI/CD, DevOps practices, and supporting digital transformation initiatives.

Develop and support secure, scalable full-stack enterprise applications. Build Java and Spring Boot backend services, REST APIs, microservices, and modern frontend components using React or Angular. Collaborate with architects, product owners, QA, DevOps, and global delivery teams in Agile environments. Contribute to testing, code reviews, CI/CD, deployment automation, observability, performance, secure coding, release readiness, documentation, and production support.

Develop and support secure, scalable full-stack enterprise applications using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Responsibilities include database integration, testing, code reviews, Agile collaboration, CI/CD, deployment automation, observability, secure coding, production support, and resilience improvements. The engineer will work with architects, product owners, QA, DevOps, and global delivery teams in a hybrid environment.

Develops, troubleshoots, and maintains secure, scalable software within an agile Payments Technology team. Writes and validates code, performs automation and performance testing, analyzes technical data, and applies SDLC practices. Collaborates across upstream and downstream systems while using AI-assisted development tools responsibly. Preferred experience includes backend development, microservices, AWS deployment with EKS, ECS, and EC2, Terraform, and Oracle or PostgreSQL.

Own the architecture and implementation of a server-rendered web component platform for AI-native user experiences. Lead rendering performance, streaming UX, Kubernetes runtime security, multi-tenant isolation, developer tooling, and agentic experience primitives. Write production code across TypeScript, Lit.js, Node.js, and Kubernetes; collaborate with ML, SRE, security, UX, and product teams; mentor senior engineers; and connect platform decisions to business outcomes.

Develop and maintain automation workflows using RPA tools and programming languages. Analyze business processes, identify automation opportunities, test and debug bots, document solutions, monitor deployments, troubleshoot failures, support financial close and period management, manage technology refreshes, assist with feed transitions, and support audit requests and system stability.

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.

Build and operate DigitalOcean’s managed App Platform and Functions services using Go, Kubernetes, distributed systems, gRPC, and cloud-native technologies. Responsibilities include developing control-plane APIs, reconciliation workflows, Kubernetes runtime capabilities, serverless runtime improvements, tests, observability, runbooks, production troubleshooting, and on-call support. The role collaborates across cloud platform teams while improving reliability, scalability, workload isolation, and operational excellence.

Develop and scale C#/.NET test automation for DryvIQ’s Kubernetes-based distributed applications. Build API, integration, system, UI, regression, and end-to-end coverage; improve frameworks, reusable utilities, diagnostics, test data, and CI/CD integration. Validate microservices, asynchronous workflows, deployments, upgrades, recovery, and enterprise integrations. Diagnose complex failures using logs and system evidence, collaborate with engineering and QA teams, contribute to Python/PyTest tooling, and provide technical guidance.

Own the architecture and implementation of AI-native user experiences across ServiceNow’s platform. Design agent-to-UI interactions, streaming experiences, uncertainty handling, human-in-the-loop workflows, and trustworthy reasoning visibility. Lead UXC and Workspace platform architecture, write production frontend code using Lit.js and React/TypeScript, and collaborate with ML and backend teams using Java, Python, PostgreSQL, and Kubernetes. Mentor senior engineers, align technical decisions with business outcomes, and drive cross-functional execution.

Build and ship full-stack Workplace Service Delivery features and integrations across UI, workflows, APIs, data models, and enterprise systems. Own features from specification through production, write automated tests, and ensure accessibility, responsiveness, and reliability. Work AI-natively with agentic coding tools, contribute to AI-powered capabilities, and understand LLM behavior, RAG, embeddings, hallucination, and AI security risks. Collaborate with product, UX, platform, and distributed engineering teams.

Leads complex software engineering initiatives and develops scalable full-stack applications using .NET Core and React.js. Responsibilities include designing, coding, testing, documenting, and optimizing applications and SQL Server databases; building REST APIs; implementing automated testing and CI/CD; creating Power BI reports; managing AutoSys workflows; applying security and GenAI practices; and mentoring teams in Agile environments.

Design, develop, test, deploy, and operate scalable production software for content intelligence, metadata, classification, and data governance. Own backend services and significant features from design through production using C#/.NET, Linux, Kubernetes, databases, and web technologies. Diagnose performance and reliability issues, contribute to React-based experiences, optimize high-volume data systems, and support strong engineering practices within a growing Hyderabad team.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage P1/P2 incidents; troubleshoot Java Spring Boot microservices, deployments, APIs, and Kubernetes environments; analyze logs, traces, and metrics; perform root cause analysis; coordinate escalations; document incidents; and improve monitoring and alerting processes.

Leads software engineering for JPMorganChase’s Deposits 2.0 platform. Responsibilities include designing, developing, testing, debugging, and reviewing secure production code; improving application resiliency and operational stability; automating recurring issue remediation; promoting responsible AI-assisted development; and evaluating vendor and internal architectural solutions. The role also requires guiding agile delivery, validating AI outputs, and coaching engineers on secure, compliant engineering practices.