Top AWS Jobs in Bengaluru

Manage and scale cloud infrastructure supporting high-volume algorithms. Establish deployment processes, troubleshoot production outages, conduct root-cause analyses, automate routine tasks, support developers, gather system requirements, and collaborate on product development. Responsibilities also include audits, system upgrades, capacity planning, benchmarking, security, monitoring, and implementing highly available deployment strategies such as blue-green and canary releases.

Design, build, and maintain backend services for a fintech platform. Own cloud-native microservices, APIs, event-driven integrations (Kafka), and data stores (Postgres, DynamoDB/Redis). Deploy and manage infrastructure on AWS with Terraform and container platforms (Fargate/ECS). Write secure, production-grade code and collaborate with product teams to deliver customer-focused features.

Architect, build, and scale backend systems for Earnifi's fintech products. Design secure, event-driven, cloud-native microservices with Java and Spring Boot. Make foundational domain and data-modeling decisions, address scalability and consistency issues, mentor engineers, and collaborate with founders, product, and design to deliver customer-focused, reliable production systems.

Senior individual-contributor leading resolution of Sev1/Sev2 incidents, defining investigation frameworks, driving observability and reliability improvements, partnering with engineering on architecture, mentoring support engineers, and owning RCA, runbooks and executive incident briefings.

Develop and maintain microservices in Golang and Python, build RESTful APIs, manage Docker/Kubernetes deployments, and implement infrastructure as code with Terraform. Manage AWS and on-prem infrastructure, design PostgreSQL schemas and Redis caching, configure CI/CD pipelines, optimize database performance, and contribute to system design including Kafka-based event-driven architectures.

Design, develop, and maintain cloud-native backend systems and scalable APIs using Golang, Python, and Rust. Build and deploy microservices to Kubernetes, optimize cloud infrastructure for performance and cost, implement CI/CD/GitOps pipelines, and monitor and improve system reliability, performance, and availability.

Lead design, implement, and maintain multi-cloud infrastructure using IaC and GitOps; build CI/CD pipelines, manage Kubernetes and service mesh, enforce security and compliance, automate infrastructure and monitoring, optimise costs and performance, lead incident response, disaster recovery, and mentor junior engineers.

Lead large-scale cloud migrations, design and manage secure scalable infrastructure, and implement automation, IaC, CI/CD, containers, monitoring, and hybrid networking. Develop Python scripts, optimize cloud environments, conduct security assessments, ensure compliance, troubleshoot infrastructure, collaborate with development and delivery teams, mentor engineers, and document migration frameworks and processes.

Design, build, test, and maintain scalable backend services and APIs. Participate in architecture (LLD/HLD), debug production issues, implement observability and performance improvements, deliver features end-to-end, perform code reviews, and mentor junior engineers.

Lead and operate cloud, ML, and data infrastructure: design/scale AWS/GCP environments, Kubernetes and CI/CD platforms, MLOps and model serving, streaming/data pipelines, SRE and DevSecOps practices, cost optimization, and enterprise-grade delivery pipelines while hands-on leading a lean team.

Owner of reliability and scalability for DataHub Cloud and enterprise deployments. Build deployment, monitoring, self-healing, and automation systems; define SLAs/SLOs, lead incident response, optimize performance/cost, and improve on-call/runbooks while partnering with product, engineering, and customer teams.

Develop and maintain secure, high-quality cloud-native software for algorithmic energy trading throughout the full SDLC. Responsibilities include requirements refinement, design, coding, testing, debugging, monitoring, support, code and design reviews, Agile participation, root-cause analysis, technical planning, process improvement, and mentoring software engineers. The role focuses on C#, .NET, Azure, APIs, databases, containerization, software architecture, automated testing, and continuous improvement.

Build and extend full-stack features using React, Node.js, and Go. Design and query PostgreSQL and MongoDB databases, implement authentication and role-based authorization, develop scalable APIs, and write unit and integration tests. Navigate legacy codebases to safely refactor or decommission components without regressions. Integrate AWS services and potentially Snowflake and n8n while collaborating with customer stakeholders in an Agile/Scrum delivery environment.

Designs and leads software architecture across distributed systems, cloud platforms, microservices, APIs, databases, DevOps, security, messaging, and observability. The role develops technical specifications and system diagrams, evaluates technologies, establishes coding standards, conducts reviews, addresses technical debt, mentors engineers, and participates throughout the software development lifecycle. Collaboration with product managers and geographically dispersed teams is required, along with strong communication, analytical, prioritization, and Agile development skills.

Own end-to-end quality strategy for security products, designing scalable test automation frameworks and performing manual exploratory testing. Integrate tests into CI/CD pipelines, collaborate on acceptance criteria, debug complex issues using observability tools, and support release readiness. Continuously improve testing practices, advocate shift-left quality, and use AI tools to accelerate development, debugging, and test generation.

Conduct manual functional, regression, usability, performance, and basic security testing across web and mobile applications. Create test plans and cases, execute tests, manage defects in Jira, reproduce customer issues, validate fixes, and support API and UI automation. Write SQL queries in PostgreSQL to validate backend data and reports, review requirements, and collaborate with development, product, and remote teams in an Agile environment.

Lead migration of Matillion ETL workloads to AWS-native data platforms. Design, develop, and optimize scalable pipelines using AWS Glue and Apache Airflow, build reusable ETL/ELT components, and work with Snowflake data warehouses. Responsibilities include data modeling, ingestion, transformation, orchestration, monitoring, data quality, security, governance, cost optimization, and CI/CD. Collaborate with architects, stakeholders, and engineering teams to translate migration requirements into reliable cloud data solutions.

Serve as the technical authority for the Label Traxx ERP platform and integrations. Own AWS architecture, PostgreSQL data design, React frontend direction, enterprise API modernization, and migration from legacy 4D systems to cloud-native services. Establish secure engineering, CI/CD, scalability, observability, and AI-assisted development standards. Resolve complex production issues, guide architecture decisions, evaluate infrastructure investments, communicate with executives, and mentor senior engineers across multiple teams.

Own full-stack platform development from problem framing through production operations. Build backend services with Java and Spring Boot, front-end experiences with React, React Native, and TypeScript, and operate AWS-based systems using relational databases. Apply AI tooling throughout engineering, document architectural decisions, automate operational work, contribute to design and code reviews, and partner with leadership in a highly autonomous, on-site team.

Lead engineering teams developing scalable, reliable, customer-facing products. Responsibilities include people leadership, product delivery from discovery through operation, technical strategy, architecture, cloud-native distributed systems, and AI-native engineering adoption. The role requires guiding teams in AI-assisted development, RAG, agentic workflows, platform reliability, and production operations while partnering with Product and Design.

Build, configure, operate, and support OCI cloud infrastructure, including networking, storage, compute, security, databases, Kubernetes, monitoring, CI/CD, and Infrastructure-as-Code. Automate operational tasks with Terraform, Ansible, Python, Bash, or PowerShell; respond to incidents; support migrations and deployments; perform access management, patching, backups, compliance evidence gathering, cost optimization, and documentation. The role requires production cloud operations experience, OCI expertise, and working knowledge of at least one secondary public cloud.

Lead cloud cost-optimization across AWS, Azure, and GCP by analyzing billing and usage, identifying waste, and implementing automation for provisioning, scaling, and cost control. Build and maintain IaC, CI/CD pipelines, observability, and developer productivity tools. Partner with engineering to design cost-efficient architectures, create FinOps roadmaps and forecasting models, and continuously improve infrastructure and processes.

Build, manage, automate, secure, monitor, and support enterprise OCI infrastructure. Provision OCI compute, storage, networking, databases, and Kubernetes environments; develop Terraform modules; automate with Python, Bash, and Ansible; support CI/CD pipelines; resolve incidents; perform patching, backups, migrations, cost optimization, and operational documentation.

Define and lead performance engineering strategy for enterprise-scale cloud-native applications. Establish performance requirements, workload models, testing standards, capacity plans, observability, and release criteria. Design load, stress, resilience, scalability, and endurance tests; analyze application, JVM, database, infrastructure, and cloud bottlenecks; and lead optimization and production incident investigations. Build automated performance frameworks and CI/CD quality gates, validate Kubernetes and cloud capacity, create monitoring dashboards, mentor engineers, and represent performance engineering in architecture and release reviews.

Lead and grow the India engineering team (initially 5 engineers) across product, SRE, and InfoSec; own technical roadmap, drive scalable secure systems, mentor and hire, partner with US product and data teams, and implement engineering best practices for reliability and incident response.