Top AWS Jobs in Bangalore

Design, develop, and maintain scalable AWS-based microservices and backend data-processing systems. Mentor engineers, document architectures, support critical incidents, optimize AWS costs, and build secure, resilient code. The role requires Java expertise, Kafka event-driven services, relational and NoSQL database knowledge, infrastructure as code, Jenkins CI/CD, and adoption of AI-powered development tools and agents.

Build and maintain Jenkins CI/CD pipelines, automate testing and DevSecOps capabilities, deploy web applications on AWS and GCP, and support application availability and performance. Drive automation and continuous improvement, secure public-facing web infrastructure, and advise delivery teams on cloud adoption. The role also involves incident and problem resolution, crisis-call participation, Agile collaboration, compliance awareness, and operational support for high-availability cloud systems.

Lead design, implementation, and operation of highly available Kubernetes platforms on AWS. Build and automate infrastructure with IaC, manage Helm charts, Karpenter scaling, and Istio service mesh. Optimize cloud costs, ensure security and compliance, integrate CI/CD, and respond to incidents while documenting platform practices and sharing knowledge across teams.

Designs and executes functional, system, performance, and scale tests for SASE, WAN edge, and cloud networking products. Owns features end to end, including test planning, automation, regression validation, troubleshooting, customer issue resolution, and workaround development. Builds distributed test environments across cloud platforms and hypervisors, validates endpoint deployments, and collaborates with cross-functional teams to deliver reliable releases.

Designs, maintains, and improves global DevOps infrastructure, CI/CD pipelines, GitHub repositories, release processes, virtualized environments, and infrastructure automation. Implements DevSecOps practices, security controls, monitoring, and compliance measures while supporting Linux and Windows development environments. Collaborates with engineering, QA, cybersecurity, and IT teams and develops a strategic roadmap to modernize and scale software delivery capabilities.

Build and enhance web applications, microservices, and enterprise systems using .NET and Python. Collaborate with developers, analysts, product managers, and customers in Scrum teams to design solutions, estimate work, maintain code quality, automate testing and releases, monitor deployed applications, support users, document systems, and mentor junior engineers. The role emphasizes cloud technologies, AI services, databases, infrastructure as code, and engineering practices including SOLID, BDD, TDD, and DDD.

Lead development of scalable enterprise applications using Java and full-stack technologies. Responsibilities include hands-on coding, code reviews, team leadership and mentoring, stakeholder collaboration, CI/CD and cloud deployment, performance and security optimization, and technical roadmap development. The role requires expertise in Java, Spring Boot, front-end frameworks, microservices, cloud platforms, containerization, databases, and Agile practices.

Operate and support production systems for airline operations, building automation, monitoring, deployment, and release-management tools. Drive scalability, reliability, and efficiency across complex cloud environments. Collaborate with DevOps teams and technical leaders on architecture, security, APIs, orchestration, and IT service management. Provide technical consulting, analyze requirements, and align technology solutions with stakeholder and business needs.

Build and lead end-to-end enterprise travel platform features across Java/Spring Boot backends and modern frontends. Design scalable microservices, APIs, workflows, dashboards, integrations, and data services while ensuring transactional integrity, monitoring, testing, and operational reliability. Own technical domains, collaborate with product and design teams, shape long-term architecture, mentor engineers, and leverage AI-assisted development tools.

Design and maintain automated testing frameworks for APIs, microservices, event-driven workflows, cloud-native applications, and enterprise integrations. Develop functional, integration, regression, performance, resiliency, and data validation tests across Kafka, AWS, databases, and distributed systems. Integrate automation into CI/CD pipelines, analyze defects, perform root-cause analysis, establish quality standards, and collaborate with engineering, product, architecture, and DevOps teams to improve release quality.

Designs and maintains automated test frameworks for F5’s Distributed Cloud platform. The role validates distributed systems across multi-cloud environments, performs functional, performance, scalability, and reliability testing, tracks defects, and investigates production issues. Responsibilities include creating test plans, participating in design and code reviews, collaborating cross-functionally, mentoring junior QA engineers, and promoting automation and quality best practices throughout the development lifecycle.

Designs and maintains automated test frameworks and suites for a distributed cloud platform. Tests complex systems across multi-cloud environments, including performance, scalability, reliability, APIs, and microservices. Documents and tracks defects, creates test plans, participates in design and code reviews, investigates production issues, and mentors junior QA engineers while promoting quality assurance best practices.

Own end-to-end performance testing for Guidewire projects, including requirements analysis, workload modeling, test scripting, load and stress execution, monitoring, and results analysis. Identify application, database, and infrastructure bottlenecks, recommend tuning, validate fixes, and maintain testing artifacts. Collaborate with architects, developers, DevOps, QA, and business stakeholders while sharing performance-testing best practices with junior team members.

Handle complex escalated customer issues for Portworx cloud-native storage products. Troubleshoot Kubernetes, containers, storage, compute, SaaS, and public cloud environments; perform code analysis, identify root causes, coordinate with Engineering, and prevent recurring issues. Mentor technical support engineers, document solutions, manage concurrent cases, communicate with customers, and participate in weekly on-call rotation from the Bangalore office.

The Engineering Specialist is responsible for frontend application development and backend integration, focusing on building scalable web applications, collaborating with teams, and adhering to architecture standards.

Leads enterprise platform architecture, technical governance, cloud-native engineering, automation, and modernization. Designs secure, scalable platforms across AWS, GCP, or multi-cloud environments; builds prototypes and reusable services; remains hands-on with coding; drives Infrastructure as Code, CI/CD, Kubernetes, and platform adoption; mentors engineers and influences stakeholders across the organization.

Own reliability and infrastructure for large-scale cloud applications. Operate Kubernetes platforms, cloud networking, observability, alerting, CI/CD, automation, and on-call incident response. Define SLIs, SLOs, error budgets, and non-functional requirements; investigate root causes and drive remediation. Partner with engineering teams on architecture, promote reliability best practices, maintain runbooks, and use AI-assisted tools to automate investigations and infrastructure improvements.

Administer WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity, storage configuration, tenant onboarding, workload optimization, Kubernetes and GPU client validation, performance benchmarking, incident escalation, runbook creation, automation, and continuity planning. The role requires deep Linux, storage, networking, Kubernetes, cloud, monitoring, and scripting expertise while supporting multiple external customers and tenants.

Enables development teams to deploy and operate applications on scalable, secure cloud infrastructure. Responsibilities include building CI/CD pipelines, managing infrastructure as code, defining SLOs and SLIs, creating deployment blueprints, monitoring production systems, supporting containerization and cloud modernization, and improving security, observability, and developer workflows across AWS and Azure environments.

Lead complex, cross-functional software engineering initiatives for JumpCloud’s device management platform. Responsibilities include architecture, technical strategy, solution design, development of highly available and performant services, requirements discovery, collaboration with product and UX teams, mentoring engineers, and driving projects across multiple teams. The role requires deep expertise in device management across major operating systems, cloud platforms, distributed systems, microservices, databases, Kubernetes, and CI/CD.

Leads quality engineering for major product areas and cross-team initiatives. Defines comprehensive test strategies, develops and maintains automated tests, performs complex debugging and root cause analysis, and supports incident prevention. Partners with developers and architects to improve testability, CI/CD releases, and collective quality ownership. Mentors quality engineers, contributes to hiring, manages testing risks, and drives coverage across unit, functional, integration, performance, security, exploratory, and acceptance testing.

Leads backend software engineering across the full SDLC, architecting scalable Java systems, REST APIs, and microservices. Provides technical guidance, advises management, mentors engineers, and drives best practices for distributed, cloud-native applications. The role requires strong analytical ability, performance optimization experience, and expertise with Java EE, Spring MVC or Hibernate, Docker, Kubernetes, and cloud platforms.

Manage AWS EKS/Kubernetes infrastructure, cloud services, CI/CD pipelines, microservice deployments, databases, Kafka, Elasticsearch, monitoring, security, scaling, production support, rollbacks, and incident resolution. The role requires hands-on expertise with AWS, Azure DevOps, C#/.NET, FastAPI, PostgreSQL, MSSQL, Docker, Helm, IAM/RBAC, TLS/mTLS, WAF, CloudWatch, Prometheus, and Grafana.

Develop, test, deploy, troubleshoot, and optimize Logstash pipelines and Grok parsers for high-volume security and infrastructure logs. Normalize events to ECS or SIEM schemas, resolve parsing and ingestion issues, diagnose Elasticsearch mapping errors, and ensure reliable, lossless pipeline performance. Conduct regression testing, root-cause analysis, production stabilization, documentation, and L2 support while mentoring junior engineers and coordinating with SOC, integration, product, and engineering teams.

Leads frontline support for the Databricks Data Intelligence platform, resolving complex customer issues, managing incidents, performing root-cause analysis, monitoring performance, overseeing upgrades, and driving platform improvements. Collaborates with engineering, product, DevOps, and customers; creates documentation and training materials; analyzes feedback; and develops preventive measures to improve reliability and customer satisfaction.