Top DevOps Jobs in Bangalore

Design, develop, and optimize the SDN data plane for HPE VM Essentials private-cloud environments. Responsibilities include Layer 2/3 networking, routing, switching, overlays, tunneling, packet forwarding, state synchronization, recovery mechanisms, and performance optimization using DPDK and Linux networking. The role requires diagnosing complex forwarding, scaling, memory, and performance issues while collaborating with cross-functional engineering teams.

Provides managed-services support for global customers using VMware vSphere, Linux KVM, server hardware, storage, networking, and virtualization technologies. Responsibilities include system administration, monitoring, incident and problem management, service restoration, customer issue resolution, change management, root-cause analysis, documentation, and collaboration with technology teams. The role also requires scripting, DevOps knowledge, security hardening, and technical leadership in a hybrid work environment.

Leads software engineering initiatives focused on F5 BIG-IP and AVI load balancer solutions. Designs, codes, tests, debugs, documents, upgrades, and deploys infrastructure technologies while resolving complex production issues. Drives cloud adoption, infrastructure modernization, automation, high availability, scalability, security, and resiliency across hybrid environments. Provides technical leadership, serves as an escalation point, and collaborates with application, cloud, platform, and security teams in a regulated financial-services environment.

Leads the design, development, and delivery of enterprise KYC, client onboarding, and regulatory compliance solutions using Fenergo and modern architecture practices. Responsibilities include solution architecture, software development, technical design, integration, troubleshooting, code reviews, Agile delivery, production support, and mentoring engineers. The role drives event-driven and domain-driven architecture, engineering governance, stakeholder collaboration, and adoption of scalable cloud and containerized technologies.

Lead development and deployment of production-grade internal and customer-facing software, including scalable Big Data pipelines and cloud-native services. Responsibilities include Agile delivery, CI/CD, automated testing, defect analysis, production monitoring, stakeholder demonstrations, backlog planning, and 24/7 product support. The role requires strong Java backend development, Flink and Kafka expertise, REST APIs, AWS and Kubernetes deployment, databases, and DevOps practices.

Provides hands-on technical leadership for enterprise applications and AI-enabled solutions. Designs full-stack systems, REST APIs, cloud-native services, reusable AI lifecycle utilities, and scalable architectures. Leads projects through development, testing, deployment, and production support while promoting DevOps, automation, security, observability, and performance practices. Mentors engineers, removes technical roadblocks, collaborates cross-functionally, and evaluates emerging technologies.

Leads enterprise data engineering teams and managers, overseeing software development, architecture alignment, cloud modernization, security, scalability, risk management, and delivery. Partners with architects, product leaders, vendors, and senior stakeholders to shape technical strategy and roadmaps. Coaches engineers, conducts design and code reviews, removes delivery impediments, manages budgets and staffing, and builds engineering talent and accountability within a regulated financial-services environment.

Develop and maintain Python applications, APIs, automation scripts, and data-processing solutions. Support Azure or AWS deployments, CI/CD pipelines, MLOps and AI solution lifecycles, testing, production releases, monitoring, troubleshooting, documentation, and stakeholder collaboration across ERP, manufacturing, and supply chain operations.

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Develops and maintains secure Salesforce solutions using Apex, Lightning Web Components, and Salesforce APIs. Writes clean code, automated tests, and CI/CD pipelines; performs debugging, defect management, integration and end-to-end test automation. Collaborates in Agile/Scrum teams with product managers, designers, and engineers, supports production applications, documents systems, and improves software quality and deployment processes.

Designs, develops, tests, deploys, and supports secure, scalable Salesforce solutions. Leads CI/CD automation, automated testing, debugging, defect resolution, documentation, and production support while collaborating with product, design, engineering, and QA teams. Ensures software quality, security, reliability, maintainability, and continuous improvement throughout the development lifecycle.

Leads enterprise software design and development using .NET technologies, web frameworks, Azure, microservices, and domain-driven design. Provides technical direction, mentors developers, conducts code reviews, contributes to architecture and Scrum ceremonies, decomposes requirements, troubleshoots and improves applications, and develops reusable services and documentation. Requires strong team leadership, Agile experience, and collaboration across business and IT groups.

Develops and maintains core storage system components, including data paths, metadata, protocols, and management services. Designs scalable distributed storage features focused on performance and reliability, debugs software, firmware, and hardware interactions, and collaborates across engineering teams. The role contributes to architecture, testing, validation, secure development, code reviews, documentation, and releases for HPC storage products supporting high-performance computing and AI workloads.

Designs, develops, tests, deploys, and troubleshoots cloud application features and modules. The role includes automating test cases, adhering to security policies, resolving application issues, reviewing technical ideas, and solving complex data-processing and application problems. Candidates should have programming skills in Python and Golang, cloud engineering exposure, knowledge of cloud-native applications and managed services, and familiarity with DevOps, CI/CD, and Kubernetes orchestration.

Develops and supports DevOps solutions across AWS environments, including infrastructure automation with Terraform, CI/CD pipelines, containerized applications, monitoring, database services, and Linux administration. Troubleshoots environment and configuration issues, maintains production availability, supports cost optimization, and uses secure AI-assisted development tools. Collaborates with developers, architects, and stakeholders to deliver stable, scalable technology solutions.

Develop and maintain SONiC network operating system platform features and system software. Troubleshoot complex Linux and hardware-level issues, collaborate with hardware and QA teams, participate in code reviews and architecture discussions, and lead technical documentation. The role requires expertise in C/C++, Linux systems, device drivers, kernel development, networking, embedded platforms, hardware interfaces, and high-speed packet forwarding.

Design, architect, develop, document, and deliver highly scalable cloud-based platforms for marketing, advertising, customer engagement, identity, profiles, payments, and post-order experiences. Lead technical decisions, high- and low-level design discussions, prototyping, and implementation across international engineering teams. Partner with architects, product management, business stakeholders, and cross-functional teams while applying microservices, cloud, DevOps, and secure engineering practices.

Develop and enhance custom software solutions using modern frameworks and agile practices. Build scalable, high-performing applications while applying DevOps practices, CI/CD pipelines, infrastructure as code, automation, monitoring, containerization, orchestration, scripting, and configuration management. Lead team decisions, collaborate across multiple teams, improve software quality and productivity, solve complex problems, and mentor junior engineers.

Design, develop, and deploy network software and integration solutions for Telstra’s strategic inventory and autonomous network. Build REST APIs, Kafka and gRPC interfaces, Docker-based solutions, and CI/CD pipelines. Support carrier network inventory migration, legacy-interface transitions, and TM Forum standards alignment. Collaborate with stakeholders to gather requirements, deliver quality network-centric applications, improve engineering practices, and contribute to Agile and DevOps initiatives.

Lead the analysis, design, development, and deployment of network software and integration solutions. Build REST APIs, Kafka and gRPC interfaces, Docker-based services, and CI/CD pipelines supporting network inventory and autonomous network capabilities. Modernize legacy interfaces using TM Forum standards, develop technology roadmaps and transition plans, and collaborate with stakeholders to deliver reliable network-centric platforms.

Leads the design and delivery of cloud-based network integration solutions, including REST APIs, TM Forum standards, network inventory transformation, and legacy interface migration. Develops scalable solutions for network automation and orchestration, assesses system impacts, leads technical design and trials, and guides implementation decisions. Collaborates with engineering and business stakeholders while ensuring solution quality, documentation, and delivery standards.

Design, develop, and maintain software solutions across the full SDLC. Responsibilities include requirements analysis, application design, coding, troubleshooting, code reviews, design reviews, project planning, and collaboration with project managers, business analysts, and stakeholders. The role focuses on Java, Python, Spring, microservices, databases, messaging, cloud services, containerization, CI/CD, and agile development within banking and fintech environments.

Leads quality engineering and Quality Intelligence initiatives for enterprise clients. Designs full-stack test automation and AI-driven workflows across the software testing lifecycle, including multi-agent orchestration, RAG, LLMs, MCP servers, intelligent test data management, and autonomous automation. Provides technical consulting, solution architecture, pre-sales support, and business consulting while building Centers of Excellence and influencing executive stakeholders.

Leads quality engineering and quality intelligence initiatives for enterprise clients. Designs full-stack automation frameworks, AI-driven testing workflows, test data strategies, and risk-based validation across web, mobile, API, and database platforms. Provides technical consulting, assessments, solution architecture, proposals, and pre-sales support while driving revenue outcomes. Builds quality engineering practices, mentors regional teams, develops centers of excellence, and promotes AI/ML, agentic automation, and continuous improvement.

Design, develop, and manage cloud-native distributed systems, microservices, and platform components across the full software lifecycle. Lead architecture, Kubernetes platform engineering, CI/CD, test automation, observability, DevSecOps, reliability, and AI-powered engineering automation. Mentor engineers, drive technical standards, and collaborate cross-functionally. Serve additionally as Scrum Master for a SAFe agile team, supporting planning and delivery commitments.