Top DevOps Jobs in Hyderabad

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.

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.

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.

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.

Manage post-sales relationships for security SaaS customers, leading onboarding, deployment, adoption, renewals, retention, and expansion. Advise stakeholders on AppSec and vulnerability management workflows, train users, monitor account health, coordinate support and engineering teams, manage feature requests, conduct business reviews, and identify upsell opportunities. The role requires strong cybersecurity knowledge, project management, communication, organizational, and sales skills, with travel up to 20%.

Build customer use cases, gather project requirements, develop scalable full-stack web solutions, and lead technical teams. The role requires strong Core Java and web application development expertise, including JavaScript, APIs, data modeling, databases, application servers, automated development processes, and collaboration with DevOps engineers. Work is office-based in Hyderabad or at designated customer locations in India or abroad.

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.

Lead a 4–6 person DevOps/SRE team while owning SmartDocs’ Azure infrastructure, networking, infrastructure as code, security, cost, uptime, incident response, CI/CD, MongoDB operations, compliance evidence, and disaster recovery. The role requires hands-on leadership across production reliability, on-call operations, audits, vulnerability management, and SaaS enterprise environments.

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.

Designs and maintains Azure DevOps environments, repositories, security controls, YAML CI/CD pipelines, and release strategies. Develops infrastructure as code with Terraform, Bicep, and ARM Templates; provisions Azure resources; manages Docker and AKS workloads; and supports cloud migration. Implements monitoring, alerting, DevSecOps practices, security scanning, secrets management, and troubleshooting to improve platform reliability and compliance.

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.

Co-develop software and AI-powered products from ideation through launch and scaling. Responsibilities include designing scalable architectures, building MVPs and production platforms, providing technical leadership, guiding product direction, and making innovation decisions. The partner will use AI engineering techniques such as RAG, LLM integrations, prompt engineering, model fine-tuning, and intelligent agents. This is a flexible, remote, project-based partnership with potential joint intellectual property and revenue sharing, not traditional employment.

Develop, deploy, and scale AI/ML and generative AI solutions for a fintech platform. Design data models and pipelines, build agentic frameworks, integrate OCR and vector DBs, implement RAG, and champion MLOps and cloud deployment practices while mentoring teammates.

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.

Lead technical design and architecture for Salesforce solutions across Sales, Service, Experience, Health, and Field Service. Drive feasibility, estimation, technical governance, DevOps/CI-CD strategy, and resolve complex integration and migration challenges. Support technical discovery and presales, and coach delivery teams.

Lead the Jaipur office as a Senior Engineering Manager, focusing on technical delivery, team leadership, client engagement, and establishing operations.

Participate in building and maintaining cloud-native software using Go. Contribute to Kubernetes, Prometheus, CloudNativePG, and other CNCF projects; debug distributed systems; improve infrastructure; collaborate with customers; and own tasks from design through documentation. The internship emphasizes open-source contributions, systems engineering, continuous learning, and potential transition to a full-time engineering role.