Top AWS Jobs in Bengaluru

Support infrastructure, automation, cloud operations, deployments, monitoring, and production reliability. Manage Docker-based deployments, AWS infrastructure, CI/CD pipelines with GitHub Actions, and infrastructure automation using Ansible, Bash, and Terraform. Build observability dashboards and alerts with Prometheus and Grafana, troubleshoot production issues, and support Linux and Windows environments. Collaborate with development teams to improve reliability and visit client sites for deployments and integrations when required.

Designs and manages AWS and Azure cloud infrastructure for SaaS and customer deployments. Builds CI/CD pipelines, infrastructure-as-code, networking, monitoring, disaster recovery, security controls, and multi-tenant or single-tenant environments. Supports BYOC deployments, release management, cloud cost and performance optimization, and AI/ML workloads while collaborating with engineering in a fast-paced startup.

Design and develop scalable backend systems, microservices, real-time event tracking, reward engines, marketing automation platforms, and partner integrations. Own projects end to end from architecture through deployment and monitoring. Optimize performance, ensure reliability, respond to incidents, conduct root cause analysis, and mentor engineers. Collaborate with product managers, data scientists, and cross-functional teams to deliver high-concurrency distributed systems.

Build and maintain scalable, low-latency backend systems for real-time AI and voice workflows. Responsibilities include developing microservices, APIs, streaming systems, concurrent and fault-tolerant code, observability, testing, deployment, and monitoring. The role integrates WebRTC and telephony protocols, Voice AI, LLMs, vector databases, and agent frameworks while collaborating with product, AI, and ML teams on multi-agent orchestration and automation.

Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.

Develop and maintain scalable Java backend applications, REST APIs, and microservices using Spring Boot and Dropwizard. Build React.js frontend components, manage relational databases and SQL, write unit and integration tests, troubleshoot performance issues, and support secure application deployment. Collaborate in Agile teams while contributing to CI/CD pipelines, code repositories, monitoring, and enterprise application enhancements.

Build and own frontend-focused full-stack features for KYC and KYB onboarding, SDKs, and case management products. Develop responsive React interfaces, backend APIs, and database changes; optimize performance across devices and networks; debug production issues; and collaborate with product, design, compliance, and customer success teams. The role includes technical decision-making, testing, deployment, monitoring, and end-to-end feature ownership.

Build and scale high-performance backend services for a real-time threat intelligence platform. Develop low-latency streaming architectures, optimize OpenSearch or Elasticsearch indexing, manage AWS/EKS deployments, and translate broad goals into technical specifications and maintainable code. Collaborate with teammates to identify architectural gaps and improve systems. The role requires production backend experience with Python or Golang, Kafka or Kinesis, search platforms, Kubernetes, AWS, and PostgreSQL.

Backend Software Development Engineer Intern supporting the design, development, maintenance, debugging, and documentation of scalable cybersecurity product systems. The role involves writing code in Node.js or Go, collaborating with frontend, data science, and product teams, participating in code reviews, and improving development practices. Candidates should understand backend development, web technologies, APIs, databases, and SQL, with cloud, containerization, DevOps, and distributed systems knowledge preferred.

Designs, develops, and maintains scalable backend systems, RESTful APIs, microservices, databases, and server-side services for a fintech platform. Responsibilities include writing efficient code, collaborating with product and frontend teams, troubleshooting production issues, monitoring performance, participating in code reviews, and ensuring security, reliability, and scalability.

Design, build, and maintain backend systems for a real-time Speech AI tutor. Architect distributed systems, own data pipelines from ingestion to model serving, ensure security/privacy, implement monitoring and alerting, and optimize performance and scalability for high-availability production traffic.

Design and build distributed systems while mentoring junior engineers. Own platform reliability and contribute to the development of key software features.

Build and operate scalable backend services, APIs, cloud architectures, and consumer-grade interfaces supporting AI-powered cybersecurity products. The role involves processing billions of security events, debugging distributed systems, optimizing performance, collaborating with enterprise customers and security teams, and using AI-assisted development tools such as Cursor, GitHub Copilot, and Claude.

Design and build AI-driven product features on customer business data, own services in production, develop microservices and APIs, optimize relational and NoSQL databases, deploy on AWS, use AI coding agents, solve ambiguous problems end to end, ensure reliability, and mentor engineers.

Build and maintain full-stack web and mobile applications, campaign and influencer marketing tools, dashboards, workflow automations, AI-driven tools, and third-party API integrations. Develop with React, Node.js, and Python; manage deployments, CI/CD, monitoring, and basic infrastructure. Own projects end to end, guide junior developers, conduct code reviews, and collaborate with founders, marketers, and nontechnical teams.

Build and operate production backend systems for AI-powered clinical products, including streaming audio, ASR, LLM document generation, agent orchestration, reliability, observability, evaluation, and scalable distributed services. Own systems from design through deployment and on-call, using Python, FastAPI, AWS, Kubernetes, Redis, and PostgreSQL while collaborating with product, clinical, and mobile teams.

Design, build, and maintain AWS infrastructure, backend APIs, internal tools, and automation. Troubleshoot IAM, ECS, networking, logging, authentication, security, and production issues. Manage infrastructure through AWS CDK or CloudFormation and maintain GitLab CI/CD pipelines. Support SOC 2 and ISO 27001 audits by providing AWS evidence, while developing Claude agents and improving platform reliability, security, and developer productivity.

Design and build scalable backend systems for video-on-demand content ingest, transcoding, adaptive bitrate packaging, storage, and delivery. Own features end to end, contribute to architecture, optimize processing workflows, integrate platform services, and maintain production reliability through monitoring, on-call support, and incident response. The role also involves code reviews, engineering best practices, cross-functional collaboration, and mentoring junior engineers.

Leads the engineering department, overseeing software development, architecture, project delivery, security, quality, hiring, mentoring, and staff development. Manages end-to-end product delivery across agile teams while collaborating with product, design, support, vendors, clients, and executive leadership. Drives scalable SaaS and cloud integration solutions using Java, AWS, multitenant architecture, microservices, Kubernetes, Docker, and DevOps practices.

Develop and maintain scalable full-stack enterprise applications using Java, Spring Boot, SQL, and React or Angular. Build RESTful APIs and responsive SPAs, contribute to database architecture and performance tuning, resolve complex application issues, and own features through deployment. Collaborate with product managers and support teams while mentoring junior engineers and promoting best practices across backend and frontend development.

Design, build, and operate scalable Java and Spring Boot backend services, APIs, asynchronous workflows, and integrations for a content management platform. Responsibilities include metadata validation, publishing controls, workflow automation, observability, auditability, resilience, security, deployment, and production support. The role requires distributed-systems expertise, cloud infrastructure experience, performance tuning, CI/CD, containerization, and collaboration with cross-functional engineering teams.

Develop and maintain mission design software for space situational awareness infrastructure. Responsibilities include orbital and mission simulations, computational optimization, sensitivity analysis, delta-V and link budgets, mission operations planning, sensor scheduling, software deployment, testing, technical reviews, and stakeholder presentations.

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.