Top AWS Jobs in Bangalore

Leads complex enterprise, data center, cloud, and WAN network operations, providing L3/L4 support, critical incident escalation, troubleshooting, root cause analysis, and performance optimization. Designs and deploys network infrastructure, reviews architectures, supports security and load-balancing technologies, and leads transformation initiatives. Mentors engineers, drives automation and process improvements, manages ITIL practices, and communicates technical recommendations to clients and stakeholders in a 24/7 rotational environment.

Lead a team of 15–20 software engineers developing enterprise solutions. Own architecture, technical strategy, roadmaps, Agile delivery, risk management, engineering quality, and AI technology adoption. Hire, mentor, and develop engineers while collaborating with product, architecture, and cross-functional stakeholders. Provide hands-on guidance in system design and implementation, communicate technical concepts clearly, and drive continuous improvement in productivity, quality, and innovation.

Design, develop, and maintain scalable backend services, RESTful APIs, and microservices using Node.js, Fastify, TypeScript, JavaScript, and Python. Collaborate with frontend, QA, and product teams; manage databases and messaging systems; implement automated testing; optimize performance; troubleshoot production issues; and contribute to code reviews, DevOps practices, CI/CD pipelines, and cloud deployments.

Own performance engineering for cloud-native consumer platforms by modeling real-world workloads, designing and executing load, stress, soak, spike, and scalability tests, and integrating testing into CI/CD. Analyze application, infrastructure, and database bottlenecks; develop dashboards and reports; manage test environments and data; align performance targets with SLOs and SLIs; recommend optimizations; and mentor engineers while collaborating with product, architecture, DevOps, and SRE teams.

Design, build, test, and maintain Java Spring Boot microservices and REST APIs for enterprise order management and supply chain products. Implement features, troubleshoot production issues, follow CI/CD and secure development practices, participate in code reviews, and collaborate with PM, QA, and DevOps to deliver scalable, reliable, configurable solutions.

Own reliability, performance, scaling, disaster recovery, security, compliance, and cost optimization for mission-critical databases supporting a regulated fintech platform. Manage relational, NoSQL, key-value, and analytical engines across on-premise and AWS environments. Lead incident response, on-call operations, replication and DR drills, CDC pipelines, audits, upgrades, infrastructure standards, and launch readiness while collaborating with engineering, data, security, compliance, finance, and product teams.

Develop and maintain secure, scalable, high-performance backend applications using Node.js and JavaScript. Responsibilities include analyzing requirements, designing and implementing testable code, writing unit and high-level tests, integrating backend services with frontend elements, participating in Agile planning and estimation, managing code with Git-based repositories, collaborating with frontend developers, and improving development processes.

Operate, monitor, and maintain OTT, broadcast, encoding, transcoding, networking, and media delivery platforms. Investigate incidents, perform root-cause analysis, implement fixes, complete upgrades and patching, produce operational reports, maintain documentation, and support project testing and commissioning. The role includes 24x7 rotational shifts and on-call support while collaborating with vendors and internal teams.

Design, build, and operate enterprise-scale storage, backup, and reliability platforms. Develop Python or Go REST APIs, automate provisioning and monitoring, integrate observability and telemetry, and implement agentic AI workflows for self-healing and proactive infrastructure remediation. The role also involves working with cloud, containerization, distributed systems, enterprise storage technologies, and emerging AI frameworks while documenting practices and driving technology adoption.

Monitors and maintains enterprise network environments, troubleshoots outages, configures routers, switches, firewalls, and SD-WAN, and performs upgrades, tuning, capacity planning, and security configuration. Documents incidents, provides performance reporting, supports network design projects, and collaborates with IT teams to optimize infrastructure. The role requires shift and on-call availability, strong analytical skills, customer focus, and experience with Cisco networking, wireless systems, routing protocols, monitoring platforms, automation scripting, and ticketing tools.

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Lead development of observability and data infrastructure for Databricks, building scalable pipelines, integrating with ecosystem tools, optimizing performance and cost, mentoring engineers, and driving cross-functional product milestones from requirements through operation and iteration.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Leads software engineering teams and technical projects, designing, developing, testing, deploying, and supporting distributed full-stack systems. Responsibilities include microservices, databases, AWS serverless technologies, build and deployment pipelines, architecture patterns, troubleshooting, data correction, user experience enhancements, mentoring, and technical direction. The role requires extensive backend development, distributed systems, database, cloud, testing, and technical leadership experience.

Design, build, test, deploy, and maintain distributed software systems using modern engineering practices. Collaborate with AI Studio teams and engineering leaders to solve business problems, improve performance, reliability, cost, and security, and deliver scalable service-oriented applications. Conduct code reviews, mentor junior engineers, and contribute across the full software development lifecycle, including architecture, testing, operations, and cloud deployment.

Develop and optimize Oracle SQL and PL/SQL solutions, including data modeling, performance tuning, OLTP, data warehousing, and ETL/ELT processes. Use Informatica, test automation, CI/CD pipelines, AWS-based Oracle environments, and job scheduling tools such as Autosys or Airflow. Apply strong quality practices while troubleshooting issues and communicating effectively.

Develop software and data warehousing solutions supporting fraud detection and identity proofing. The role involves Java, Python, SQL, Snowflake, Yugabyte, ETL/ELT, cloud deployment, containerization, continuous integration, automated deployments, event-based systems, and structured and unstructured data stores. Responsibilities support AWS-based customer protection technology and may involve Docker, Kubernetes, Jenkins, Kafka, Terraform, and related data platforms.

Develop Java and Spring Boot software, REST/SOAP APIs, and cloud-based applications for fraud detection and identity proofing. Work with AWS, databases, Docker, Kubernetes, CI/CD tools, messaging frameworks, and event-based systems. Support Customer Protection Technology initiatives that help verify user identities and prevent fraud.

Develop and deliver customer solutions that modernize legacy Java and SQL applications by migrating them to MongoDB and cloud-native architectures. Collaborate in Agile teams, apply migration best practices, debug and optimize applications, and explore GenAI-powered migration solutions. The role requires stakeholder communication, continuous learning, and technical collaboration across customer projects.

Develops and supports cloud-based data solutions using AWS services, Python, PL/SQL, ETL, PostgreSQL, and PySpark. Responsibilities include data migration and ingestion, analytical problem-solving, debugging, API integration, and potentially Power BI support. The role requires strong cloud engineering experience and familiarity with AWS S3, Glue, Lambda, and IAM roles.

Enhance, configure, and support Cisco’s Oracle Global Trade Management platform in response to global trade regulations. Partner with trade compliance stakeholders, develop integrations and system solutions, troubleshoot production issues, and support testing and validation. Build AI agents and semantic layers using LangGraph, LangChain, LLMs, and enterprise data sources. Apply SDLC, Agile, CI/CD, and DevOps practices while integrating GTM with ERP and other boundary systems.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.

Leads architecture, automation, deployment, monitoring, and support of highly available cloud platforms and large-scale infrastructure. Owns major subsystems, resolves complex technical issues, drives innovation, contributes to strategic planning, and mentors technical talent. Requires extensive expertise in Linux, public cloud, networking, programming, databases, containers, messaging systems, security controls, and infrastructure as code.

Leads global software engineering teams and managers, drives engineering strategy, architecture, AI-assisted development, automation, quality, cybersecurity, regulatory compliance, and product delivery. Partners with product, program, quality, regulatory, and technology leaders to align customer needs with technical outcomes. Oversees talent development, global operating models, NPI execution, and software products from architecture through production and operational support, with emphasis on healthcare, ultrasound, and medical-device environments.