Top DevOps Jobs in Hyderabad

Leads multiple engineering teams responsible for enterprise-scale platform applications and services. Oversees architecture, Java and Spring Boot backend development, SQL data solutions, React interfaces, APIs, microservices, cloud modernization, scalability, security, DevOps, monitoring, disaster recovery, and incident response. Partners with product, operations, infrastructure, and senior leadership to align platform strategy with business goals. Hires, mentors, and develops engineering leaders while driving delivery excellence across global teams.

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.

Develop and maintain scalable full-stack web applications using Python and modern frontend frameworks. Design RESTful APIs, manage SQL and NoSQL databases, collaborate on feature delivery, and ensure application performance, security, and scalability. Debug production issues, follow clean coding practices, and contribute to system design, microservices architecture, CI/CD, and DevOps practices.

Lead design and implementation of scalable ServiceNow solutions: develop custom apps, workflows, integrations (REST/SOAP), CMDB/CSDM models, security controls, Service Catalog and portal experiences, mentor developers, support CI/CD and Agile delivery, and run client workshops and technical design sessions.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

Manages IT service management processes, governance, policies, procedures, and continuous improvement. Leads cross-functional teams, oversees service operations, analyzes metrics and reports, and communicates major incidents and service health to executives and stakeholders. The role requires expertise in ITIL, cloud technologies, ServiceNow or similar platforms, enterprise technology architecture, process governance, and automation opportunities. It also involves building effective relationships across multicultural, multi-vendor, and geographically distributed teams.

Manage 4–8 KodeKloud courses from kickoff through launch. Coordinate instructors, designers, editors, Labs, Product, Marketing, and Support; maintain ClickUp schedules; allocate production work; perform content QA; manage launch checklists, LMS and Vimeo publishing, learner defect triage, reporting, and cross-team handoffs. Identify risks, resolve blockers, and escalate course issues while ensuring timely, high-quality releases.

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.

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.

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.

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.

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.

Designs, builds, secures, and operates production AWS infrastructure across multi-client environments. Responsibilities include cloud networking, security services, databases, Windows Server administration, monitoring, CI/CD, Terraform infrastructure as code, scripting, troubleshooting, documentation, and knowledge transfer. The role collaborates with global teams in an Agile delivery model and supports cloud platforms including AWS, Azure, and EKS.

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.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

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.

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.

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.