Top Engineering Jobs in Hyderabad

Lead and grow a team building Kubernetes observability integrations: oversee Go/Python data collectors, scalable backend services, UI dashboards, and K8s SRE agents; drive technical strategy (OpenTelemetry), ensure end-to-end delivery from agents and Helm charts to frontend, manage incident response and support rotations, and advocate open-source contributions.

Lead multiple software engineering teams to design, build, and maintain scalable .NET/C# enterprise applications, REST APIs, microservices, and frontend integrations. Drive adoption of AI-assisted engineering and SDLC automation, ensure compliance, coach engineers, manage stakeholders, and deliver resilient, secure systems.

Lead architecture and cloud modernization efforts: gather requirements, design solutions, refactor and lift-and-shift legacy apps to cloud, guide engineering teams, build MVPs and proofs-of-concept, implement CI/CD and DevOps practices, and troubleshoot performance and production issues.

Lead the Content Onboarding engineering team in shaping the technical and product vision for content importers, exports, and internal administrative tooling. Develop multi-quarter strategy, guide technical decisions, partner with product and engineering leaders across time zones, and establish reliable operating standards. The role also involves developing senior engineers, building a high-performing distributed team, and applying AI to improve product judgment, prototyping, and engineering quality.

Leads software engineering for the Home Lending product, overseeing technical direction, governance, resources, budgets, complex initiatives, and solution delivery. Drives adoption of agentic AI, SDLC automation, automated testing, release controls, incident triage, and responsible AI practices. Influences senior stakeholders, develops cross-functional engineering teams, delivers reusable technical solutions, and ensures security, resiliency, maintainability, and operational effectiveness.

Lead development of secure, scalable, data-intensive software supporting global KYC and risk assessment platforms. Responsibilities include writing production code, designing reusable frameworks, establishing engineering standards, mentoring engineers, advising cross-functional teams, and improving SDLC automation. The role requires expertise in Java or Python, enterprise application development, large-scale data processing, cloud-native platforms, databases, observability, orchestration, and modern data technologies.

Leads multiple software engineering and technology transformation areas across Global Customer Platform. Manages senior engineering teams, drives platform modernization and cloud-native delivery, oversees complex projects, and influences executives across a matrixed organization. Responsibilities include system design, testing, operational stability, talent development, stakeholder alignment, governance, and large-scale modernization. Preferred experience includes mainframe workload retirement, automated parity validation, self-service enablement, transformation governance, partner management, and hands-on coding.

Lead development of secure, scalable, data-intensive software for a global KYC and risk assessment platform. Responsibilities include designing production applications, reusable frameworks, data platforms, and microservices; establishing engineering standards; mentoring engineers; advising cross-functional teams; and improving SDLC automation. The role requires expertise in Java or Python, cloud-native systems, large-scale data processing, databases, observability, orchestration, and data governance.

Manage and mentor a team of software engineers and junior managers to design, build, and deploy high-quality Java microservices. Ensure architecture, security, scalability, and cloud readiness (modernization, IaC). Act as technical representative across teams, resolve technical roadblocks, drive DevOps/AI/ML adoption, collaborate with product owners, and oversee delivery, testing, and production migration.

The role involves leading NAND Flash memory product validation, developing test algorithms, debugging, and partnering with various engineering teams for product specifications and requirements.

Lead a technical area to deliver end-to-end low-latency, cloud-native systems; translate business needs into technical specs; champion engineering best practices; drive adoption of AI-enabled engineering automation and AWS; own architecture, governance, roadmaps, non-functional requirements, and cross-team delivery.

Lead design, development, and delivery of scalable, secure software systems. Mentor engineers, drive architecture and automation, build data-intensive and AI-enabled applications using Java/Scala, work across AWS/Databricks/Kubernetes, and ensure code quality through testing and CI/CD.

Manage and operate a dual UEM environment (MECM/SCCM + Intune) to ensure endpoint health, patch compliance, vulnerability remediation, OS servicing, application deployment, and platform availability. Troubleshoot client and deployment issues, follow ITSM practices in incident/war-room scenarios, build PowerShell automations and runbooks, and pilot AI-assisted productivity improvements while maintaining security and compliance.

Manage and grow engineering teams delivering cloud-native Java and AI-powered platforms. Drive architecture, technical strategy, delivery, and engineering excellence across microservices, DevSecOps, observability, and modernization initiatives while partnering with product, architecture, and stakeholders.

Lead delivery of Claims AI platform components from design through production. Translate business workflows into agent-based architectures, drive platform foundations and automation use cases, oversee agent catalog, workflow orchestration, integrations, HITL review, and ensure production-grade CI/CD, monitoring, cost controls, and rollback mechanisms.

Design, deploy, and manage Kubernetes and Azure-based platforms, build automated CI/CD and MLOps pipelines, support Python services, implement IaC (Terraform/CloudFormation), observability, security best practices, automation/self-service for data teams, and mentor junior engineers to improve platform reliability and performance.

This role involves die design engineering focusing on TSV integration and advanced packaging, collaborating across teams and adopting new technologies while ensuring design reliability and innovation in HBM standards.

Lead the development and optimization of software applications, collaborating with cross-functional teams and ensuring high-quality deliverables while mentoring team members.

Lead the Engineering Team to develop products for the Indian market, focusing on onboarding, money movement, compliance, and scalability.

Lead design, develop, and maintain scalable Java applications; provide technical leadership and mentorship; collaborate with product and architecture teams; ensure code quality, performance, security, and reliability.

Lead partner integrations focused on the Android ecosystem (especially Android TV). Design and implement scalable partner-facing solutions, improve release and observability processes, optimize performance on constrained devices, collaborate cross-functionally, contribute to technical roadmaps, and mentor engineers.

Lead design, implementation, and operations of enterprise PostgreSQL databases across on‑prem and cloud. Ensure HA/DR, backup/recovery, performance tuning, automation (Python/Shell), CI/CD, monitoring, security compliance, incident/on‑call management, and collaboration with SRE/DevOps teams.

Design, deploy, and operate scalable, secure Azure-based data and analytics infrastructure (Data Lake, Databricks, ADF). Implement CI/CD with Terraform, GitHub/Jenkins, ARM/PowerShell automation, monitor with Azure Monitor/Application Insights/Log Analytics, administer Power BI, enforce governance/security (RBAC, Key Vault, IAM), and support production incidents and operational readiness.

Lead an agile engineering team to design, build, and deliver secure, scalable backend systems. Provide technical direction, write and review production code, drive AI-assisted engineering practices, support ML/NLP/LLM and Knowledge Graph solutions, and promote SDLC/ADLC standards, automation, and platform governance across teams.

Lead and mentor an engineering team to design, architect, implement, test, and deploy full-stack, cloud-native enterprise applications. Define architecture roadmaps, enforce design patterns and security practices, support release readiness, and collaborate with business, onshore/offshore teams, QA, and infrastructure to deliver scalable, resilient solutions.