Top AWS Jobs in Bengaluru

Own and operate AWS, Azure, and Databricks infrastructure supporting data engineering, data science, and MLOps teams. Responsibilities include cloud provisioning, networking, IAM, Unity Catalog administration, security controls, infrastructure as code, platform onboarding, automation, cost management, compliance evidence, troubleshooting, and operational documentation. The role establishes secure DEV, QA, and PROD environments and serves as the primary escalation point for Databricks and cloud platform issues.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

Own the architecture and long-term health of a greenfield, multi-tenant website platform serving thousands of healthcare practices. Responsibilities include multi-tenant security, PostgreSQL data modeling, AWS infrastructure architecture, automated provisioning, visual editing, theming, Next.js rendering, SEO, performance, observability, compliance, integrations, migrations, and platform upgrades. The role requires expert-level full-stack engineering, architectural ownership, production operations experience, and technical leadership in a distributed team.

Design and deliver production-ready data and AI platform solutions for enterprise customers. Integrate open-source and proprietary components using Kubernetes, Helm, cloud infrastructure, CI/CD, and infrastructure as code. Serve as the technical advisor for assigned accounts, resolve complex platform issues, influence product direction, translate customer requirements into scalable systems, and identify account expansion opportunities.

Owns the design, development, scaling, and reliability of backend services supporting AI pipelines, ecommerce tools, user journeys, and real-time analytics. Responsibilities include building REST and GraphQL APIs, optimizing databases and caching, implementing monitoring and fault tolerance, managing cloud infrastructure, troubleshooting production issues, participating in code reviews, and collaborating with product and AI teams.

Own the overall software architecture and guide scalable, secure, reliable system design across frontend, backend, APIs, data, and infrastructure. Remain hands-on with development, code reviews, and complex troubleshooting. Lead DevOps, CI/CD, cloud infrastructure, observability, automation, and disaster recovery. Partner with product and business stakeholders on technical planning and roadmaps while mentoring engineers and supporting team growth.

Maintain and troubleshoot customer MySQL databases, resolve alerts, optimize SQL queries and indexes, manage backups and replication, tune Linux performance, and address availability issues. The role includes customer performance calls, documentation, escalation support, mentoring junior database engineers, monitoring with PMM, Prometheus, and Grafana, and maintaining operational processes. This is a full-time, office-based position in Bangalore.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Develop and deploy scalable cloud-native applications using Java, Spring Boot, microservices, AWS EKS, Kubernetes, Docker, Kafka, and CI/CD pipelines. Responsibilities include implementing event-driven architectures, domain-driven design, cloud integrations, container orchestration, database solutions, and secure, reliable distributed services.

Build and scale AiPrise’s compliance orchestration platform, including backend APIs, microservices, data pipelines, vendor integrations, case management workflows, and customer-facing tools. Own features from requirements through deployment, monitoring, and iteration. Improve reliability, performance, observability, and cost efficiency; debug production issues; contribute to architecture and engineering practices; collaborate cross-functionally; and mentor junior engineers.

Design, build, and own scalable backend systems, APIs, verification workflows, and data orchestration features. Drive architecture, reliability, security, monitoring, and end-to-end delivery of complex initiatives. Mentor engineers, participate in on-call and incident response, collaborate across product and customer-facing teams, and contribute to AI-powered fraud detection, document intelligence, anomaly detection, and developer productivity improvements.

Designs and maintains CI/CD pipelines, cloud infrastructure, container orchestration, monitoring, logging, and infrastructure-as-code systems. The role uses AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, Grafana, Loki, and Python to automate deployments and improve reliability. Responsibilities include implementing serverless and event-driven architectures, troubleshooting infrastructure issues, supporting scalability and performance, maintaining high availability, and applying security best practices while collaborating with development and operations teams.

Leads enterprise cloud infrastructure architecture and delivery across AWS and GCP, including migrations, modernization, landing zones, networking, security, resiliency, automation, and platform engineering. Designs reference architectures and roadmaps, guides implementation, establishes infrastructure-as-code and DevOps standards, and partners with senior customer stakeholders. Mentors architects and engineers, drives governance and operational excellence, and shapes reusable architecture practices across consulting engagements.

Own and scale AWS production infrastructure, improve CI/CD automation, lead incident response and RCA reporting, strengthen security and observability, manage cloud costs, and build cross-region disaster recovery and failover capabilities. The role requires operating Kubernetes clusters, Terraform infrastructure, monitoring and logging platforms, database and messaging systems, and cloud security controls.

Develop and maintain full-stack tools, APIs, frameworks, workflow automation, and network management applications across web and mobile platforms. Integrate front-end and back-end systems, improve developer workflows, resolve system bottlenecks, implement automated testing, document technical practices, and mentor developers. The role involves geospatial systems, enterprise integrations, Agile collaboration, and support for telecommunications and utility network operations.

Lead end-to-end utility GIS migrations from GE Smallworld to ESRI Utility Network. Responsibilities include schema mapping, migration strategy design, topology and connectivity migration, ETL, data validation, reconciliation, cutover and rollback planning, and production quality checks. The role also develops Python and ArcPy automation frameworks, optimizes spatial database queries, supports ArcGIS deployments, and collaborates with stakeholders on utility modernization programs.

Develop and maintain full-stack tools, APIs, frameworks, and integrations for enterprise workflow and network management applications. Customize workflow automation solutions, integrate front-end and back-end systems, implement automated testing, document technical practices, troubleshoot system bottlenecks, and mentor developers. The role involves geospatial systems, network operations, Agile collaboration, and technologies including Python, JavaScript, Docker, SQL, and cloud platforms.

Design, develop, and maintain enterprise tools, APIs, frameworks, and workflow automation systems across web and mobile platforms. Integrate front-end and back-end applications, resolve system bottlenecks, document technical practices, contribute to architecture decisions, and mentor software engineers. Collaborate with engineering and implementation teams in Agile/Scrum environments to deliver scalable solutions for enterprise customers in telecommunications, utilities, and related operational domains.

Leads global IT infrastructure and workplace technology operations, including infrastructure strategy, end-user services, Google Workspace, networking, identity, cloud and hybrid environments. Oversees incident management, reliability, disaster recovery, security, compliance, vendors, budgets, infrastructure projects, office rollouts, and team development. Partners with Security, DevOps, Cloud Engineering, Applications, Facilities, and executive stakeholders to deliver resilient, scalable services and continuous operational improvement.

Build and maintain CI/CD tooling, deployment automation, cloud infrastructure, monitoring, and reliability practices. Collaborate with product development to improve application performance, scalability, security, and availability. Manage AWS-based infrastructure, container platforms, configuration management, databases, and Linux systems. Troubleshoot live performance and stability issues, automate build and deployment dependencies, evaluate tools, and recommend solutions.

Lead the architecture, delivery, security, reliability, and optimization of large-scale AWS cloud infrastructure. Mentor DevOps and platform engineers, drive AI-enabled automation, establish CI/CD and SRE practices, coordinate platform roadmaps across teams, and lead incident response and post-mortems. The role also owns infrastructure design, observability, capacity planning, performance tuning, cost optimization, compliance, deployment velocity, and developer experience improvements.

Design and deliver scalable, reliable, secure, and fault-tolerant distributed systems. Provide technical leadership, mentor engineers, conduct code and design reviews, and partner with product and cross-functional teams on feature delivery. Translate business requirements into extensible designs, manage dependencies and stakeholder communication, optimize performance and capacity, and maintain high-quality backend services handling high-volume traffic.

Lead the architecture and implementation of high-volume distributed payment systems spanning settlement, ledgers, treasury, fraud, AML, and stablecoin infrastructure. Establish engineering standards, solve scalability and reliability challenges, promote AI-assisted development, evaluate AI-driven product opportunities, collaborate across business and engineering teams, and mentor senior technical leaders.

Build and support scalable backend applications and enterprise software using Python, REST APIs, microservices, relational databases, cloud platforms, and modern deployment practices. Design reliable, observable, performant, and cost-efficient systems; collaborate with product management and distributed teams; contribute to technical decisions; and support production services. Experience with LLMs, generative AI, retrieval-augmented generation, vector databases, AI agents, Kubernetes, infrastructure as code, and observability is preferred.

Design and develop backend systems, focusing on microservices and collaboration with cross-functional teams, ensuring high performance and reliability.