Top DevOps Jobs in Hyderabad

Designs, builds, and maintains scalable Databricks data pipelines using PySpark, Python, SQL, and Delta Lake. Develops ETL/ELT processes, data transformations, logical and physical models, and enterprise data architectures. Ensures data quality, governance, lineage, performance, security, and reliability. Translates business requirements into technical solutions while collaborating with business users and technical stakeholders. The role is hybrid in Hyderabad, requires three office days weekly, and works 2:00 PM to 11:00 PM.

Leads client-facing data, analytics, AI, and platform modernization engagements using Microsoft technologies. Designs secure, scalable, governed data platforms; develops pipelines, data models, semantic models, and Power BI solutions; facilitates workshops; manages technical risks; mentors consultants; and translates business needs into practical data solutions.

Develop and implement SAP BTP solutions using CAP (Node.js/Java) and RAP (ABAP), build CDS views and OData services, integrate S/4HANA and on-prem systems via SAP Integration Suite, develop in ABAP and Java, and connect backend services to Fiori/UI5 frontends using CI/CD and DevOps practices.

Lead technical delivery for integration projects, owning squad deliverables and developing, deploying, and troubleshooting IBM ACE/IIB integration flows. Manage IBM MQ setup, queues, channels, migrations, and connectivity validation. Coordinate AKS/OCP, FTP/SFTP, file-share, firewall, and server connectivity requirements. Validate production deployments and configurations, support CI/CD and code migration, and collaborate with DevOps, infrastructure, QA, and business teams to resolve issues and deliver reliably.

Paid six-month internship providing structured training and practical exposure in full-stack development, MVP design and deployment, data analysis, cloud-native DevOps and SRE, cybersecurity, and AI defense. Interns will complete assignments, build real-world projects, receive mentorship, and may be considered for full-time hiring. Applicants need foundational computer, networking, programming, development, and problem-solving knowledge, with hands-on familiarity in at least one programming language or development stack.

Paid technology internship for students and freshers offering structured training and hands-on experience in full-stack development, MVP design and deployment, data analysis, cloud-native DevOps and SRE, cybersecurity, and AI defense. Interns complete practical assignments, build real-world projects, receive mentorship, and may be considered for full-time employment. Applicants need foundational programming, computer, networking, debugging, command-line, and development environment knowledge.

Leads enterprise IT service management across global, multicultural, and multi-vendor environments. Establishes ITSM goals, governance, metrics, and continuous-improvement practices while managing stakeholders, third parties, resources, and cross-functional teams. Applies ITIL, Lean Six Sigma, ISO 20000, DevOps, and Site Reliability Engineering concepts to improve service outcomes, reduce toil, and identify automation opportunities. Requires strong leadership, communication, planning, analysis, and business stakeholder-management skills.

Design, develop, and maintain high-performance C++ applications, industrial communication protocol stacks, device integrations, ODBC drivers, and database connectivity components. Implement and troubleshoot industrial and file transfer protocols, analyze network packets, integrate third-party devices, and support architecture, testing, deployment, and code reviews. Collaborate with cross-functional teams, mentor junior engineers, and deliver scalable, maintainable software using Docker and CI/CD practices.

Lead Azure Databricks and data engineering initiatives, including ETL and pipeline development, data integration, API implementation, cloud solutions, application development, performance optimization, and DevOps/CI/CD. Manage teams and stakeholders while delivering scalable solutions on Microsoft Azure.

Designs, implements, and optimizes enterprise Amazon Connect contact center solutions using AWS serverless services, conversational AI, REST APIs, and enterprise integrations. Configures contact flows, routing, queues, analytics, recording, and agent workspaces; troubleshoots deployments for scalability, reliability, and security. Collaborates with customers and technical teams on requirements, architecture, workshops, demonstrations, proof-of-concepts, proposals, and go-to-market initiatives.

Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.

Advises clients and delivery partners throughout Fluent Commerce OMS implementations, from discovery and requirements gathering through solution design, testing, audits, and go-live. Leads workshops, backlog and user story development, solution scoping, estimation, risk analysis, and best-practice adoption. Collaborates with Product, Engineering, Expert Services, and partner teams while coaching business analysts and contributing to roadmap feedback and service improvements. Uses generative AI tools for research, reporting, automation, and exploratory tool development.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Designs scalable Snowflake data models and architectures, builds ETL/ELT pipelines with Snowpipe, Azure Data Factory, and Matillion, and develops complex SQL and stored procedures. Responsibilities include incremental loading, data validation, performance tuning, warehouse and cost optimization, RBAC and governance, monitoring, error handling, troubleshooting, and production support. The role collaborates with cross-functional teams on requirements and solution design.

Hiring for multiple software engineering opportunities in Hyderabad, including fresher and experienced positions across Java, testing, Python, DevOps, AWS, full-stack development, data science, AI/ML, cybersecurity, Node.js, and React.js.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

Own and evolve EVS Labs’ AWS cloud infrastructure, infrastructure-as-code, CI/CD pipelines, containerized deployments, monitoring, security, and reliability practices. Manage AWS services, Terraform, GitHub Actions, Docker, secrets, identity integrations, and production incident response. Partner with development teams, establish platform standards, automate operational processes, and support scalable, secure software delivery using Python, SQL, and PostgreSQL.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Drive enterprise sales and business development across India, focusing on healthcare, government, and enterprise clients. Responsibilities include lead generation, market expansion, consultative solution selling, proposal and RFP development, pricing negotiations, partner engagement, industry events, CRM forecasting, and achieving revenue targets. The role requires collaboration with presales, technical, and marketing teams, frequent domestic travel, and the ability to manage long sales cycles involving technology, SaaS, AI, cloud, and digital transformation solutions.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Design, develop, and maintain full-stack applications using .NET Core, C#, MVC and ReactJS. Build RESTful APIs, optimize SQL Server queries, and apply HLD/LLD and design patterns. Work with microservices, Azure cloud services, containerization, version control, and agile/Scrum practices to deliver high-quality software.

The Senior Engineering Manager will lead the platform team in developing core platforms, optimize performance, ensure security, and mentor engineers.

Leads and develops a software engineering team, overseeing delivery, resource allocation, Agile practices, engineering standards, and process improvement. Partners with product, architecture, security, and business stakeholders to translate roadmaps into execution plans, prioritize work, manage capacity, and resolve issues. Provides mentorship, performance support, project oversight, budget awareness, and technical investment guidance while fostering an inclusive, high-performing engineering culture.

Leads software engineering across multiple application and development teams. Manages engineering managers and staff, resource allocation, budgets, vendors, Agile processes, portfolio priorities, succession planning, and transformational initiatives. Establishes software development, architecture, security, and engineering standards; supports data-driven investment decisions, project delivery, contract negotiations, and stakeholder collaboration. Develops staff, resolves conflicts, and promotes technology solutions that support patient safety and clinician satisfaction.