Top DevOps Jobs in Hyderabad

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.

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.

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.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

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.

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.

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.

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.

Design, develop, and maintain full-stack applications using .NET Core, C#, MVC and ReactJS. Create HLD/LLD, build RESTful APIs, optimize SQL Server queries and stored procedures, work with SQL/NoSQL databases, microservices, Azure services, containerization, CI/CD and DevOps practices, follow Agile/Scrum, manage version control, and debug/optimize application performance and migrations.

Build and maintain CI/CD pipelines, deploy containerized applications on Azure, manage infrastructure as code, and administer production MongoDB. Implement monitoring, logging, security hygiene, and audit support while participating in on-call incident response. Automate workflows using Python or Bash and AI-assisted development tools, manage DNS and version control, and collaborate with distributed development teams.

Build and maintain CI/CD pipelines, containerized deployments, and Azure infrastructure using Docker, Kubernetes, and Infrastructure as Code. Develop automation scripts, monitoring and centralized logging solutions, and implement infrastructure security practices. Collaborate with development, QA, operations, and security teams while troubleshooting systems, creating proofs of concept, and using AI-assisted coding tools to improve deployment and operational workflows.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

Designs, automates, and supports AWS cloud infrastructure and delivery pipelines for cloud-native digital products. Responsibilities include Terraform and Ansible automation, CI/CD support, AWS account and networking configuration, containerized workloads on Amazon ECS, security and monitoring alignment, troubleshooting, documentation, and collaboration with application and central cloud teams.