Top Software Engineer Jobs in Hyderabad

Design, develop, and maintain secure, scalable Java/Spring Boot microservices on AWS. Produce architecture and design artifacts, troubleshoot complex issues, analyze large datasets to improve systems, and apply CI/CD, resiliency, and secure coding practices. Use enterprise AI-assisted development tools responsibly to improve code quality while validating outputs.

Develops secure, scalable Java applications within an agile team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. Uses authorized AI-assisted development tools responsibly to improve productivity, validates generated outputs, and promotes secure engineering practices. Collaborates across technical areas while applying SDLC, CI/CD, resiliency, and security principles.

Architects and builds large-scale distributed data platform systems, ingestion pipelines, foundational libraries, and backend infrastructure. Develops high-performance Java services, leads complex technical initiatives, establishes engineering best practices, and troubleshoots production issues. Works with Kubernetes, data lakes, streaming platforms, distributed storage, databases, and data processing technologies while ensuring scalability, reliability, fault tolerance, and operational excellence.

Lead the design, development, architecture, integration, deployment, and support of scalable Pega applications. Responsibilities include case management, workflow automation, decisioning, REST and SOAP integrations, code reviews, production troubleshooting, agile delivery, stakeholder collaboration, mentoring, and continuous improvement.

Develop and maintain PEGA applications, configure workflows and case management, implement integrations, translate requirements into technical solutions, test and troubleshoot applications, support deployments, and collaborate with stakeholders in Agile/Scrum environments. The role also applies PEGA standards, security practices, and basic AI-driven automation capabilities.

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.

Develops secure, scalable software for AI/ML and generative AI platforms within an agile team. Responsibilities include Python and AWS development, platform engineering, MLOps, data governance, LLM fine-tuning, multi-agent orchestration, troubleshooting, automation, continuous integration, and communicating technical solutions across the organization.

Design, develop, test, and support scalable enterprise applications using Java, Spring Boot, ReactJS, microservices, REST APIs, and Azure Cloud. Troubleshoot production issues, improve reliability and performance, participate in Agile ceremonies and code reviews, and contribute to automation and engineering excellence. The role also supports AI-assisted development practices and modern engineering tools.

Design, develop, test, and support scalable enterprise applications using Java, Spring Boot, ReactJS, microservices, REST APIs, and Azure Cloud. Troubleshoot production issues, improve reliability and performance, participate in Agile development activities, conduct code reviews, and contribute to automation and engineering excellence. The role also supports adoption of AI-assisted development tools and practices.

Owns end-to-end software application design, development, testing, deployment, DevOps, and production support across Angular, .NET Core, Azure, SQL Server, and Kubernetes. Leads modernization, cloud-native architecture, automation, CI/CD, testing, production troubleshooting, and operational improvements. Uses AI-assisted engineering tools to improve code quality and delivery speed, collaborates with cross-functional teams on product roadmaps, and mentors engineers while ensuring security, compliance, reliability, and SLA performance.

Develop and deliver software for Azure-based OCDC hardening initiatives. Collaborate with engineering teams, business analysts, architects, quality engineering, and security hardening teams to support end-to-end engineering delivery. Required expertise includes Java, Spring Framework, Hibernate, and AngularJS, with preferred knowledge of Azure, AKS, and Azure Functions.

Designs reusable Terraform modules, GitHub Actions, and cloud deployment workflows compliant with security standards. Manages Azure, AWS, and GCP accounts, monitors vulnerabilities, creates cloud architecture diagrams, and advises teams on cloud-native development and on-premises migrations. Ensures scalable, reliable, and secure solutions while collaborating with stakeholders and supporting cloud best practices.

Build and support full-stack web applications and cloud platform features for AI-driven healthcare automation. Responsibilities include contributing to technical roadmaps, designing and developing features, testing, deploying releases, supporting production services, and collaborating with product and design teams. The role also involves database and frontend work, implementing security practices, and integrating AI or agent-based systems into product workflows.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Leads software engineering initiatives for electronic trading systems. Designs, codes, tests, debugs, documents, and supports low-latency, high-throughput Java applications and exchange connectivity protocols. Troubleshoots production issues, collaborates with traders, product managers, and operations teams, and ensures coding, architectural, security, regulatory, and compliance standards. Contributes to distributed systems, real-time data processing, automated testing, CI/CD, and continuous architecture and process improvements.

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. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.

Sets technical direction for ServiceNow HR Service Delivery’s agentic and conversational AI architecture. Owns instruction and tool standards, autonomy guardrails, evaluation infrastructure, observability, reliability, security, and production quality across teams. Leads architectural decisions, incident response, AI coding-agent practices, cross-functional influence, mentorship, and selective hands-on engineering. Requires extensive software engineering, production AI integration, CI/CD, containerization, observability, conversational AI, and mentoring experience.

Leads and delivers enterprise-scale full-stack software initiatives using Java, Spring Boot, React, REST APIs, microservices, event-driven integrations, and cloud technologies. Designs, tests, deploys, and maintains secure, scalable applications; builds CI/CD automation; optimizes relational and NoSQL databases; troubleshoots production issues; supports modernization and cloud migration; and mentors engineers while collaborating with product, architecture, QA, and security teams.

Build and operate full-stack products, backend services, REST APIs, data pipelines, distributed systems, and AI-powered workflows. Develop Java and Python services, deploy applications on Kubernetes, manage Kafka and ClickHouse systems, and create frontend components with React or Angular. Own reliability, observability, testing, performance, and production operations while collaborating with product, design, and engineering teams.

Leads software engineering within an agile Corporate Technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable production systems. Drives adoption of approved AI-assisted development tools, SDLC and automation practices, secure coding, testing, resiliency, and operational improvements. Reviews code, coaches engineers on responsible AI use, evaluates vendor and architecture proposals, and applies Java, React, AI/ML, cloud-native, and financial-services technology expertise.

Staff Software Engineer responsible for setting technical direction across DigitalOcean’s managed App Platform and Functions products. Designs scalable, multi-tenant Kubernetes-backed control planes and runtimes, solves deployment, isolation, autoscaling, performance, and reliability challenges, and leads cross-organizational architecture decisions. Establishes engineering standards, mentors senior engineers, drives complex programs, communicates strategy to leadership, and improves production operations through SLOs, incident response, capacity planning, and tooling.

Leads software engineering teams in designing, developing, and delivering secure, scalable, resilient applications. Responsibilities include Java and Scala development, distributed systems architecture, AI-enabled applications and agentic workflows, cloud and data platform integration, CI/CD, containerization, infrastructure automation, testing, and enterprise AI-assisted engineering adoption. The role mentors engineers, drives architecture decisions, improves operational stability, and ensures responsible AI usage, governance, security, and human validation.

Leads forward-deployed engineering engagements delivering enterprise data solutions on Databricks and Snowflake. Owns delivery strategy, operating models, architecture, governance, privacy, security, compliance, budgets, vendors, metrics, and executive communications. Partners with product and technology leaders to develop reusable platform capabilities, while hiring, coaching, and managing senior engineering teams. The role requires enterprise-scale cloud data platform expertise across multi-cloud and hybrid environments, including AWS, data governance, metadata, lineage, retention, and regulatory controls.

Leads architecture and implementation of secure, scalable data and integration solutions using Java, Kafka, AWS, Cassandra, Oracle, REST, and GraphQL. Designs streaming and batch pipelines, data contracts, APIs, distributed systems, observability, and governance patterns. Drives proof-of-concepts, production readiness, AI-assisted engineering practices, secure coding, testing, and cross-team technical standards. Requires strong technical leadership, stakeholder communication, and experience operating large-scale production systems.

Staff Software Development Engineer responsible for architecting and operating high-scale distributed systems on a cloud security platform. The role provides architectural guidance, establishes coding, testing, observability, and CI/CD standards, and leads cross-team initiatives in performance, reliability, and technology adoption. Requirements include extensive Java experience with Kafka, Druid, and Elasticsearch, cloud infrastructure knowledge, on-call incident response, and RCA writing. Preferred experience includes Kubernetes, Postgres, Redis, identity systems, and security protocols.