Top AWS Jobs in Bengaluru

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.

Build and ship scalable backend systems using AWS serverless architectures. Contribute to system design discussions, develop backend and AI feature integrations, create proofs of concept, support real-time inference, and debug production issues. Collaborate closely with experienced engineers on an AI-native platform while gaining practical experience in distributed systems, data pipelines, and resilient software architecture.

Design and operate fault-tolerant, performance-critical backend infrastructure across AWS and GCP. Build serverless services, REST and WebSocket APIs, secure cloud deployments, and scalable AI workflows including fine-tuning and inference pipelines. Develop custom AI agent and multi-agent frameworks, manage containerized services, follow release processes, and document systems. The role requires strong Python expertise, extensive cloud and Kubernetes experience, infrastructure-as-code knowledge, and familiarity with generative AI and LLMs.

Software Engineering Intern working on backend features and services for production systems. Responsibilities include writing clean, testable code, debugging complex issues, understanding existing codebases, and learning new tools and infrastructure. The role offers mentorship, exposure to cloud and backend technologies, and opportunities to develop system design and engineering skills.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Develop and maintain automated API, integration, regression, performance, and database tests for anti-financial-crime systems. Validate data reconciliation, process flows, error handling, retries, and end-to-end integrations. Review requirements and designs, manage test data, integrate automation with CI/CD pipelines, support user acceptance testing, and provide production validation. The role requires strong Python, SQL, API automation, debugging, and Agile delivery skills, with Fenergo, KYC, AWS, and Pytest experience preferred.

Perform functional, integration, regression, and end-to-end testing for data and AI/ML applications. Validate data quality, transformations, ETL/ELT pipelines, model predictions, and data integrity using SQL and Python. Design test cases, automate testing, track defects, and collaborate with data engineers, data scientists, ML engineers, and development teams. Test model accuracy, performance, consistency, and reliability while supporting API, CI/CD, and data platform testing.

Build and operate reliable AWS infrastructure and Kubernetes environments across production systems. Responsibilities include Terraform automation, CI/CD with GitHub Actions, Helm and Argo CD deployments, Docker management, observability, AWS networking, messaging and database infrastructure support, frontend delivery, scripting, incident response, and postmortems. The role emphasizes ownership, automation, production debugging, reliability engineering, and SLO, SLI, and error-budget practices.

Lead enterprise GIS architecture, delivery, migration, and integration for utility, telecom, and gas clients using GE Smallworld and ESRI platforms. Design scalable GIS solutions, migrate data to ESRI Utility Network, integrate GIS with enterprise systems, and provide technical leadership, governance, mentoring, and client engagement. Manage project scope, resources, risks, timelines, and deliverables while guiding development quality, infrastructure, security, DevOps, and continuous improvement initiatives.

Build and maintain scalable backend services in Python and Go. Design distributed systems for performance, reliability, and scale; develop APIs, microservices, and cloud-native applications; collaborate with ML, infrastructure, and frontend teams; participate in code reviews and architectural planning; and solve complex systems problems.

Own and develop production payment orchestration services covering payment flows, routing, recovery, partner connectors, tokenization, webhooks, and reconciliation. Ensure correctness, reliability, security, and observability in distributed systems. Participate in on-call, incident management, CI/CD, AWS infrastructure improvements, technical design, code reviews, mentoring, and cross-functional delivery. The role involves modernizing Java and Spring Boot services while supporting enterprise payment integrations.

Designs, develops, and maintains automated tests for web, mobile, and API applications. Responsibilities include defect tracking, regression and performance testing, framework optimization, CI/CD integration, Agile collaboration, and contributing to QA strategy. The role owns product quality across complex fintech workflows and requires expertise with modern automation frameworks, programming languages, API testing tools, and test management platforms.

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.

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.

Own Salesforce administration and development across configuration, Flow automation, CPQ, integrations, security, reporting, deployments, and custom Lightning interfaces. Partner with RevOps, Sales, Customer Success, and Implementation teams to translate requirements into scalable solutions. Maintain Apex code and tests, metadata documentation, API usage, data synchronization, and sandbox-to-production release processes.

Build and maintain scalable cloud-native full stack applications using Node.js, TypeScript, React, microservices, Kafka, MongoDB, and Redis. Design resilient APIs and event-driven services, optimize distributed systems, and improve observability and performance. Automate testing, deployment, and operations through CI/CD and Infrastructure as Code. Collaborate with product, platform, and DevOps teams while contributing to engineering standards, code reviews, and technical design.

Own quality engineering for Bright’s mobile, API, and web products. Design scalable automation frameworks, integrate quality gates into CI/CD pipelines, lead functional and non-functional testing, analyze defects, establish testing standards, mentor engineers, track quality metrics, and apply AI tools to test generation and coverage analysis. The role requires hands-on coding, technical leadership, and accountability for release quality.

Lead and mentor backend engineers while designing scalable, secure, high-availability services with Node.js. Own API development, cloud infrastructure across AWS and GCP, event-driven microservices, SQL and NoSQL databases, observability, security, automation, and CI/CD. Partner with product, frontend, and DevOps teams to optimize platform performance and deployment.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Develop and maintain scalable backend and full-stack systems using Node.js, MySQL, Redis, REST, and GraphQL. Responsibilities include system architecture, microservices, API development, testing, CI/CD, deployment, performance optimization, production troubleshooting, documentation, and code reviews. The role collaborates remotely with product and design teams and requires familiarity with cloud platforms, Docker, native mobile development, and database technologies.

Develop and maintain production-ready Flutter mobile applications for iOS and Android. Responsibilities include responsive UI development, algorithm and performance optimization, testing, debugging, app deployment, production monitoring, and collaboration with designers, product managers, and backend developers. The role requires Flutter and Dart expertise, API and state-management experience, Firebase, CI/CD, Git, cloud, database, native development, and Docker familiarity.

Build and optimize scalable backend services, APIs, microservices, frontend applications, databases, search systems, event-driven workflows, and AI-powered data pipelines. The role involves Python, Node.js, React, MongoDB, Elasticsearch, cloud infrastructure, messaging systems, scraping, OCR, testing, debugging, observability, and performance optimization.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Build and operate secure, scalable backend services and data ingestion pipelines. Own features from design through production, develop third-party API integrations, improve data freshness and reliability, troubleshoot distributed systems, and participate in on-call support. Collaborate across engineering and product teams while using monitoring, testing, and documentation to maintain production quality.