Top AWS Jobs in Bangalore

Leads end-to-end delivery of production software and AI-driven systems, including agentic AI, LLM workflows, microservices, APIs, cloud-native modernization, and distributed architectures. Owns technical discovery through launch, establishes architectural standards, improves developer productivity with AI tools, partners across engineering and business teams, supports production operations, and mentors engineers. Builds containerized SaaS applications using Docker and Kubernetes with strong testing, observability, security, and reliability practices.

Develop and maintain scalable Python backend services, RESTful APIs, and secure microservices. Design and optimize PostgreSQL databases, integrate cloud services and third-party APIs, implement authentication, write tested code, and support Docker-based CI/CD deployments. Collaborate with Product, QA, DevOps, and Architecture teams to improve application performance, reliability, scalability, observability, and operational excellence. The role owns end-to-end delivery of enterprise-grade backend components.

Design, develop, deploy, operate, and scale cloud-based core infrastructure and shared microservices on AWS. Support services such as search, caching, configuration management, and asynchronous job frameworks. Conduct code reviews, write unit and functional tests, monitor and troubleshoot systems, collaborate with cross-functional engineering teams, and mentor new hires and interns.

Leads Gracenote’s India DevOps and Platform Engineering organization, managing multiple teams and AWS infrastructure at scale. Oversees Amazon EKS, managed AWS services, observability, infrastructure automation, CI/CD, incident management, reliability, security, and FinOps. Establishes engineering standards, operational KPIs, talent pipelines, and collaborative practices across global stakeholders while optimizing cloud performance, availability, scalability, and cost.

Own and modernize IG’s global Akamai edge delivery estate by migrating configurations to Terraform, building GitLab CI/CD self-service workflows, and automating API-driven operations. Manage routing, DNS, caching, redirects, traffic management, edge security, certificates, and multi-CDN resilience. Diagnose complex delivery incidents, maintain configuration inventories, enforce change controls, and partner with application and platform teams to deliver secure, high-performance edge infrastructure.

Lead hands-on software development across scalable SaaS applications, microservices, APIs, event-driven workflows, and AI-enabled systems. Design agentic AI workflows using LLMs, tools, APIs, data sources, structured outputs, and workflow state. Lead feature delivery, modernize legacy systems, mentor engineers, establish AI-assisted development practices, and partner on architecture, security, observability, CI/CD, deployment, and production support. Build containerized applications with Docker and Kubernetes using relational and NoSQL databases in cloud environments.

Lead architecture, design, development, and maintenance of scalable C# and React applications using .NET. Mentor engineers, establish engineering best practices, implement CI/CD and automated testing, troubleshoot complex issues, and collaborate with product and cross-functional teams. Develop AI-enabled capabilities including agentic workflows, automation, search, and chat assistants, integrating AI/ML services securely through scalable APIs.

Lead the architecture, design, development, and maintenance of scalable software applications using C#, .NET, React, and cloud technologies. Mentor engineers, establish development and deployment best practices, implement CI/CD and automated testing, troubleshoot complex issues, and collaborate with product stakeholders. Develop AI-enabled features including agentic workflows, automation, search, and chat assistants, integrating AI/ML services securely through backend APIs.

Own reliability and infrastructure for large-scale cloud applications. Responsibilities include operating Kubernetes platforms, managing AWS/Azure infrastructure and networking, building observability dashboards and SLO-based alerting, responding to incidents, performing root-cause analysis, automating operational work, supporting CI/CD, defining non-functional requirements, and guiding engineering teams on reliability best practices. The role also requires applying AI-assisted tools to automate investigations and fixes and participating in on-call rotations.

Build and maintain responsive frontends and scalable backends, design APIs and databases, ensure security and performance, integrate third-party services, deploy to cloud, debug production, participate in code reviews, and follow Agile processes.

Lead and mentor a software engineering team to design, build, and operate secure, scalable Java-based microservices. Provide hands-on technical direction, drive architecture and DevOps best practices, manage projects and budgets, collaborate with product and stakeholders, and participate in rotational on-call responsibilities to ensure system reliability and continuous improvement.

Leads the architecture and implementation of AIOps automation across cloud AI platforms. Builds self-healing infrastructure, RAG knowledge tools, conversational support bots, observability pipelines, predictive anomaly detection, and operational dashboards. Eliminates support toil, improves MTTR and ticket deflection, standardizes logs and telemetry, and mentors L1/L2 engineers. Requires strong AWS or GCP, Kubernetes, infrastructure-as-code, scripting, observability, and generative AI production experience.

Build and deploy automation scripts, API integrations, RAG and LLM tools, conversational bots, dashboards, log-enrichment workflows, and automated diagnostics. Support L1/L2 engineering teams by eliminating repetitive tasks, automating ticket triage, improving incident data quality, configuring cloud monitoring and anomaly detection, and validating self-healing infrastructure routines. The role focuses on reducing MTTR, increasing ticket deflection, improving dashboard coverage, and boosting support productivity under the guidance of a Senior AIOps Lead.

Build and lead backend microservices and large-scale platform services for millions of devices. Collaborate with Product and Design, drive technical design and best practices, participate in Agile delivery, evaluate new technologies, and support production deployments and maintenance.

Design, build, and maintain large-scale backend and data platform systems including low-latency streaming and batch data pipelines, microservices-based event-driven services, and ETL/workflow orchestration. Influence architecture and product roadmap, collaborate with product and consumer teams, and take ownership of projects impacting millions of users.

Designs, operates, and optimizes AWS infrastructure in hybrid cloud environments. Leads incident response, on-call operations, monitoring, root cause analysis, reliability improvements, and infrastructure modernization. Manages Terraform-based infrastructure, GitHub Actions workflows, and Python, Bash, and PowerShell automation. Administers identity systems including Active Directory, Entra ID, and Okta, while supporting networking, security, compliance, IT assets, and service management. Serves as a senior escalation point, mentors teammates, improves standards, and reduces technical debt.

Design, develop, test, deploy, and support distributed enterprise software for digital identity authentication and lifecycle management. Collaborate with technology risk teams on secure architecture and controls, define requirements, manage UAT, troubleshoot production issues, and improve deployed applications. The role uses AWS, Java, Python, SQL, RESTful services, and security technologies while guiding platform adoption and retiring legacy systems.

Owns CI/CD, cloud infrastructure, DevSecOps, FinOps, and reliability across Azure and AWS. Builds Azure DevOps and GitHub Actions pipelines, provisions infrastructure with Bicep and Terraform, manages Docker and Kubernetes workloads, supports AWS-to-Azure migration, and administers monitoring, security, Linux systems, and cloud costs. Automates operational tasks using Python, Bash, or PowerShell while coordinating workload cutovers and governance activities.

Develop and modernize finance technology platforms supporting FP&A, investor reporting, compensation, and investment processing. Build scalable Java applications, data pipelines, messaging systems, microservices, web interfaces, and REST services. Lead architecture modernization, cloud migration, platform resiliency, automation, integrations, and operational improvements using AWS, Kubernetes, Databricks, and DevOps practices while partnering with Finance stakeholders.

Design, implement, operate, and optimize secure enterprise WAN, LAN, WLAN, SD-WAN, Private 5G, OT, sensor, firewall, and cloud-connected networks. Lead architecture, lifecycle management, automation, troubleshooting, incident escalation, standards, security integration, vendor coordination, budgeting, and project cost modeling across manufacturing, R&D, campus, data center, and cloud environments.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, optimize performance, automate validation and reconciliation, and ensure data quality, governance, lineage, and audit readiness. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while providing technical leadership and mentoring.

Maintains and deploys JD Edwards EnterpriseOne global infrastructure, including CNC configuration, security, environments, upgrades, performance, monitoring, disaster recovery, and Level 2/3 support. Administers AWS-hosted JDE systems, Oracle middleware, servers, deployments, and integrations. Develops automation, scripting, API integrations, and agentic AI solutions to improve efficiency. Coordinates infrastructure and application teams, manages audits and access strategies, supports incident root-cause analysis, and participates in rotating 24/7 on-call coverage.

Administer and strategically evolve the SOLIDWORKS PDM Professional environment, including vaults, workflows, permissions, integrations, performance, backups, and disaster recovery. Lead engineering data governance, CAD standards, change management, system integrations, upgrades, migrations, automation, validation, and technical support. Partner with Engineering, IT, Manufacturing, and Product Development teams, manage vendors and licensing, deliver training, mentor users, and lead PDM-related projects.

Leads and develops a mobile engineering team responsible for iOS, Android, and cross-platform applications. Establishes engineering standards, technical roadmaps, CI/CD and testing practices, and oversees secure, scalable application delivery. Manages customer escalations, root-cause analysis, operational metrics, and cross-functional collaboration with Product, Quality, Support, and R&D. Champions AI-assisted development, responsible AI governance, DevOps, and continuous improvement.

Develop scalable, secure, and maintainable software using modern architectural patterns and technologies including Angular, Java, Spring Boot, Python, Golang, Docker, Kubernetes, and cloud platforms. Lead Agile, DevOps, CI/CD, secure coding, testing, observability, and reliability practices. Collaborate across engineering, QA, and operations to deliver high-quality products, solve complex technical problems, conduct design and code reviews, and optimize critical software components.