Top AWS Jobs in Bengaluru

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

The DevOps Engineer will optimize CI/CD pipelines, manage cloud environments, automate infrastructure, and ensure security and compliance best practices.

The role involves technical expertise in operational analytics solutions, customer deployment, product integration, and collaboration with sales for pre-sales activities. It requires hands-on coding and improvements based on customer feedback.

Senior L3 Linux System Engineer responsible for escalation and troubleshooting, managing and securing Linux hosting environments, building servers, automation with scripting and IaC, deploying and managing virtualization/cloud (KVM, OpenStack, VMware, Docker/Kubernetes), performing monitoring and incident response, enforcing security best practices, and mentoring L1/L2 teams in a 24/7 production hosting environment.

Design, build, and operate cloud-native infrastructure and Kubernetes platforms on AWS/GCP. Own networking, security, IaC (Terraform), observability, resilience, and platform automation to support scalable production and AI workloads while enabling developer self-service and cost optimization.

Design, deploy, administer, and optimize enterprise Redis and Apache Kafka platforms for high-throughput, real-time applications. Build CI/CD and GitOps pipelines, automate cloud infrastructure, ensure HA, security, monitoring, and disaster recovery. Troubleshoot production incidents, collaborate with DevOps, Security, Infrastructure, and Development teams, and research/benchmark new platform technologies.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Lead design, implementation, and scaling of AWS/kubernetes infrastructure and GitOps workflows. Own CI/CD, Salesforce DevOps, security/compliance, observability, incident response, and mentor platform engineers while driving automation and infrastructure-as-code best practices.

Manage and optimize Ubuntu and RHEL server infrastructure across production and staging. Perform upgrades, patching, kernel tuning, security hardening, backups, and troubleshooting. Implement configuration management and automation (Ansible/Puppet/Terraform), monitoring, virtualization/containerization, and collaborate with DevOps and cloud teams for provisioning, disaster recovery, capacity planning, and incident response. Maintain documentation, SOPs, and audit reports.

The Senior DevSecOps Engineer designs CI/CD pipelines, manages cloud infrastructure, implements disaster recovery, and supports automation while collaborating in a team environment.

Build and maintain core platform services for AION's Compute and Inference platforms. Implement multi-cloud orchestration, resource scheduling, model deployment pipelines, autoscaling, and observability. Develop REST/gRPC services, design DB schemas, integrate message queues and storage, write tests, participate in code reviews, and support production debugging and incident response.

As a Kubernetes Infrastructure Engineer, you'll manage infrastructure, deploy applications, improve automation, and enhance product quality while collaborating with cross-functional teams.

As a Senior Full Stack AI Engineer, you'll design and build AI-driven solutions, mentor engineers, and develop high-performance services for enterprise workflows.

Customer-facing engineering role that designs, builds, configures, and deploys SaaS integrations and workflow automations. Runs discovery workshops, implements API-driven solutions, troubleshoots integrations, validates data with SQL/BI tools, and feeds product insights back to engineering. Works with LLM/RAG toolchains when applicable.

Develop and implement scalable backend systems, collaborate with customers and teams to improve AI-driven features, and ensure operational efficiency.

Looking for a senior Oracle Database Engineer to automate DBA operations, support critical projects, and manage enterprise-scale databases under high-pressure conditions.

Design and build large-scale, PB-scale data pipelines and cloud-native infrastructure. Optimize SQL performance, implement SQL AST-based parsing and lineage (sqlglot), and develop dynamic ETLs using Airflow or dbt. Integrate solutions with AI components and deploy on AWS/Kubernetes for scalable data operations.

As a Database Engineer, you will manage MySQL databases, ensure performance, automate tasks, and support database procedures while collaborating with team members.

The Senior Database Engineer leads responsibilities including provisioning MySQL instances, ensuring database performance, security, and availability, and overseeing database administration tasks.

The Software Development Engineer III will design and develop software, collaborate with stakeholders, write clean code, mentor juniors, and ensure quality before launch.

Seeking a Principal Engineer to develop high availability, low latency applications, with strong experience in API development and backend systems.

Design and build video advertising solutions, take ownership of product success, and develop high throughput systems and real-time bidding engines.

Design, build, and maintain scalable backend services and APIs; optimize performance and data pipelines; architect and manage AWS infrastructure; document systems; ensure code quality through reviews; deploy containerized microservices and implement infrastructure-as-code and monitoring/alerting for production systems.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Own and operate the production infrastructure and delivery platform for AI products. Implement infrastructure-as-code, run Kubernetes, manage CI/CD, ensure security, reliability, observability, and compliance (single-tenant, SOC 2). Build automation and guardrails to enable safe, fast shipping.