Top Software Engineer Jobs in Hyderabad

Lead technical delivery for IT asset discovery and tooling across hybrid environments. Configure and optimize UCMDB or FlexeraOne, manage agent deployments, develop discovery patterns and integrations, and maintain ServiceNow CMDB accuracy. Drive automation, tooling upgrades, re-platforming, and continuous improvement while collaborating with stakeholders and engineering teams in an Agile environment. The role requires strong discovery-tool expertise, agent or API integration experience, and familiarity with cloud, on-premises, and hybrid infrastructure.

Provides technical leadership across application platform initiatives while remaining hands-on with design, development, debugging, and delivery. Resolves complex backend issues, establishes engineering and security standards, guides AI-assisted development, mentors engineers, and negotiates technical boundaries across teams. Builds and maintains high-scale cloud services using Java and modern TypeScript or Node.js technologies, with emphasis on distributed systems, concurrency, authentication, sessions, and multi-tenant SaaS platforms.

Develop and enhance Aqua’s cloud-native security management console across the full application stack, including SQL, business logic, background processing, APIs, and web interfaces. Build scalable multi-component systems and microservices using Go and related technologies, supporting cloud, on-premises, and containerized deployments. Work with AWS serverless services, Linux, Docker, databases, and AI-assisted engineering tools while delivering secure, reliable features for enterprise customers.

Develop scalable cloud search and platform features for Microsoft 365 Copilot and Copilot Search. Responsibilities include designing high-performance services, managing live cloud systems, optimizing distributed search infrastructure, and collaborating with product managers and partner teams to deliver rich enterprise search experiences.

Leads a team in designing, developing, testing, deploying, and maintaining scalable full-stack applications. Provides technical leadership and mentorship, drives frontend and backend architecture decisions, conducts code reviews, resolves complex technical issues, collaborates with product and design stakeholders, and improves development processes. The role participates throughout the software development lifecycle and evaluates emerging technologies for adoption.

Design, develop, and maintain high-performance C/C++ (MFC) Windows applications for banking products. Diagnose and fix memory, multithreading, and networking issues, collaborate with cross-functional teams, support security initiatives, and work in an Agile environment.

Design, develop, and maintain high-performance, scalable enterprise software. Lead complex technical problem solving, root cause analysis, and technical debt reduction. Mentor team members, coordinate with client-facing teams for issue resolution, address security vulnerabilities and audit findings, and manage technical risks and dependencies within an Agile environment.

Design and develop full-stack applications using Angular and Golang, implement test automation with Selenium, and mentor junior engineers while ensuring software quality.

Develop HAL and Peripheral device drivers for embedded systems, deliver high-quality code, support customers, and resolve system-level issues. Collaborate with various teams, contribute to open-source projects, and ensure code security and safety standards.

The Software Engineer will design, develop, and optimize runtime software for AI accelerators, focusing on low-level programming, performance optimization, and collaboration with hardware teams.

Design and build full-stack applications using React/Next.js, Python/Node.js/Java with micro-frontend SPA architecture. Integrate frontends with backends (GraphQL, tRPC, BFF), work with cloud, API gateway, CI/CD (Jenkins), and Kubernetes. Translate business needs into technical solutions, prioritize roadmap, and mentor junior developers.

Designs and implements full-stack features for an Agentic ERP platform: backend services in Java/Quarkus, AI agent integration in Python, vector-backed data retrieval, and Angular-based user interfaces. Builds RAG pipelines, resilience patterns, CI/CD, observability, and human-in-the-loop UIs for production-grade deployments.

The Software Engineer will design, build, and maintain backend services, optimize performance, implement secure coding practices, and mentor junior team members in a SaaS environment.

Design, develop, and maintain features for a Managed File Transfer SaaS product. Ensure platform reliability and security while collaborating in an agile team environment.

The Senior Software Engineer will develop and enhance web applications, mentor junior engineers, and ensure quality coding practices using Ruby on Rails and related technologies.

Develop scalable, secure, compliant cloud-native software for medical imaging and clinical trial workflows. Responsibilities include building SaaS microservices, DICOM processing pipelines, AI/ML integrations, viewer and PACS integrations, APIs, databases, monitoring, security controls, audit trails, and regulated data-management solutions. The role also contributes to architecture decisions, performance optimization, production AI deployment, code reviews, and collaboration with clinical and business stakeholders.

Design, develop and maintain Linux systems software for NAS appliance platform, focusing on production-grade Python and system automation while collaborating with QA and support teams.

Build and ship scalable SaaS features for government agencies using ReactJS, TypeScript, GraphQL, NodeJS, and Python. Responsibilities include end-to-end full-stack development, technical design, debugging, cross-functional collaboration, AI-driven workflow development, operational improvement, and mentoring junior engineers. The role requires expertise in software engineering fundamentals, databases, algorithms, observability, GraphQL APIs, and event-driven architecture.

Design and deliver data platform infrastructure for ads metrics alerting, diagnostics, and monitoring. Optimize large-scale streaming and batch pipelines, enhance analysis infrastructure, perform deep data analysis, collaborate with partner teams, and provide operational support and incident resolution.

Lead design, build, and operation of a next-generation data movement service. Manage and grow a team, own product delivery, mentor engineers, collaborate with customers and partners, hire, and ensure scalability, security, and low operational burden.

Develop and maintain React/Node.js applications, provide live service production support and monitoring, troubleshoot incidents, participate in code reviews, apply DevOps and test automation practices, collaborate with stakeholders and senior engineers, perform root-cause analysis to improve resilience, and mentor early-career engineers while staying current with technology trends.

Contribute to Scrum teams by designing, developing, testing, and deploying software features. Write optimized code, build automated tests, and support cloud services with monitoring tools.

Design, develop, test, debug, and support software solutions across modern and legacy technologies. Collaborate on requirements, code reviews, pair programming, security, risk mitigation, and delivery estimates. Improve engineering processes and product quality while contributing to AI-assisted development, innovation, and continuous professional growth. The role operates independently on well-scoped tasks and supports less experienced team members.

Designs, develops, optimizes, debugs, and maintains Windows software and services at global scale. Delivers customer-facing features, creates technical designs, manages dependencies and release plans, and improves reliability, performance, observability, and maintainability. Serves as a responsible on-call engineer, collaborates across teams, provides technical leadership, and mentors other engineers.

Architect and build data engineering solutions for FactSet’s internal Data Lake, including ingestion, maintenance, and data exposure. Lead modernization from SQL to Databricks and AI-based infrastructure while ensuring security and SOX compliance. Collaborate with engineers and corporate stakeholders on strategic big-data initiatives, provide technical leadership, and influence engineering decisions without direct managerial responsibility.