Top AWS Jobs in Bangalore

Design and scale observability across cloud environments; define and manage SLIs/SLOs; build AI-driven monitoring and self-healing automation; enable event-driven operations with ServiceNow/PagerDuty/Slack; collaborate with engineering, SecOps, and FinOps; drive incident analysis, performance tuning, and reliability improvements.

Lead the architecture and development of AI-powered backend systems, optimize data pipelines, and mentor teams in machine learning best practices.

As a Senior Engineering contributor, lead the architecture, design, and development of AI-powered backend systems while collaborating with cross-functional teams to innovate in machine learning and software engineering.

Glean seeks a Backend Engineer to build scalable and secure systems for enterprise knowledge management, focusing on cloud-native applications.

The Staff Platform Engineer will design and implement distributed systems, improve developer productivity through internal tooling, and provide mentorship while driving collaboration across teams.

As a Staff Software Engineer, you'll architect high-throughput streaming data pipelines using Kafka, Spark, and Flink while ensuring system performance and reliability. You'll engage in performance tuning, modernization, and enforce quality standards through monitoring and testing frameworks.

Design, build, and support large-scale data systems; manage databases, develop data pipelines, and optimize processes for performance and reliability.

Design, deploy, and operate large-scale Linux-based HPC clusters for ASIC/EDA workloads. Lead automation (Ansible, Python, Shell), manage schedulers (LSF, Slurm, NC), optimize performance, troubleshoot compute/storage/network layers, support EDA toolchains (Cadence, Synopsys), implement monitoring (Splunk, Grafana), and provide technical leadership and documentation.

Designs, deploys, and operates large-scale HPC and hybrid/multi-cloud environments. Automates infrastructure with IaC and CI/CD, supports AI/ML pipelines and GPU workloads, implements observability and security, and optimizes cluster performance for research and engineering teams.

Manage, provision, automate, and maintain cloud infrastructure on Azure/AWS. Implement IaC and CI/CD, script automation, perform OS administration, monitoring, backup, patching, security/RBAC/IAM, troubleshooting, and support ITSM processes; produce operations documentation.

Support provisioning, operating, and automating cloud systems on Azure/AWS. Manage IaaS/PaaS resources, perform OS administration (Windows/Linux), troubleshoot cloud issues, follow runbooks, and apply IaC and CI/CD concepts. Work with networking, security (RBAC/IAM), monitoring tools, backup/patching, and ITIL/ITSM processes.

Manage, provision, automate, and troubleshoot workloads on Azure/AWS. Implement IaC and CI/CD, script/automate tasks, administer Windows/Linux systems, configure networking, monitoring, backups and patching, enforce security/RBAC and follow ITSM/ITIL processes. Produce operations documentation and support cloud platform operations.

The Software Engineer will develop scalable backend systems and APIs, ensuring high performance, reliability, and clean architecture while collaborating across teams to define API contracts and deployment workflows.

Design, build, and maintain scalable authentication features and APIs for mobile/native apps. Leverage LLMs for prototyping while auditing and securing generated code. Own architecture, mentor peers, collaborate with product/support, participate in on-call rotations, and improve developer and user experiences.

Lead design, build, optimize, and support AWS-based data lake/warehouse and database platforms. Drive performance tuning, ETL/integrations, data quality, lineage, mapping, production operations, backup/recovery, security/compliance, documentation, and technical leadership across PostgreSQL, Redshift, Athena, DynamoDB, SQL Server, and related AWS services.

Lead the Bengaluru MCE chapter to architect and implement scalable systems that optimize multi-cloud spend. Drive technical strategy, build automated cost-governance, resource rightsizing, and AI-driven remediation systems. Own incident response, mentor engineers, and deliver large-scale efficiency projects across AWS/Azure/GCP and Kubernetes-based environments.

Design, build, and own scalable backend systems for cloud cost attribution and automated resource management. Lead end-to-end projects, optimize cloud utilization, mentor engineers, and develop automation/AI tooling to detect and remediate waste.

Manage and lead systems engineering for cloud infrastructure, driving automation (IaC), CI/CD, container orchestration, security, performance tuning, disaster recovery, and migrations. Collaborate with developers, architects, and security teams to design, deploy, and document scalable, reliable cloud solutions while overseeing project delivery, team development, and continuous improvement.

As a Principal GenAI Engineer, you will design and implement cloud-native AI systems, optimize performance, ensure reliability, and collaborate on ML models, while mentoring teams and establishing engineering standards.

Lead QA efforts for cloud-based managed services: define test strategies, create and automate test suites (UI/CLI/API), execute functional, regression, scalability and performance tests, track and verify defects, mentor QA engineers, and promote testing best practices across squads.

Design and develop scalable cloud software and lead DevOps initiatives focused on CI/CD, deployment automation, and orchestration. Build and deploy solutions using Vault and Consul on AWS/Azure, manage containers with Kubernetes/Docker, and develop systems in Golang and Python (Rust a plus). Implement secure cloud workload practices (IAM, PKI), use monitoring tools (Prometheus, Grafana, Kibana), and collaborate cross-functionally to troubleshoot, optimize, and drive DevOps innovation.

Hands-on full stack engineer building scalable cloud-native platforms, contributing to architecture, CI/CD, IaC, automated testing and AI-first development. Collaborates with cross-functional teams, removes blockers, champions engineering best practices, and balances delivery with long-term maintainability.

The role involves data engineering, analysis, visualization, and application development on the Skywise platform, focusing on creating solutions for Airbus business processes.

As a Senior Software Technologist, you will develop AI-enabled applications, enhance data services, optimize performance, and collaborate with cross-functional teams, ensuring quality in software development within healthcare systems.

Design and operate secure, scalable cloud infrastructure; lead reliability initiatives; manage Kubernetes and microservices; mentor engineers and ensure observability.