Top AWS Jobs in Pune

As a Quality Engineer, you will conduct automated and manual testing, ensuring software reliability through design and analysis, collaborating with various teams, and maintaining test artifacts.

Work with senior research staff to develop Applied AI and GenAI tooling: build RAG pipelines, implement neural architectures, create AWS-based Python libraries, work with fine-tuned models, vector DBs and embeddings, develop training/visualization tools and open-source contributions.

Design and own enterprise data architecture and roadmap, modernize legacy systems to cloud-native platforms, define modeling, governance, integration and real-time patterns, select and evaluate data platform technologies, mentor teams, and provide architectural oversight to ensure scalable, secure, and performant data solutions for analytics and ML.

Lead the Business Intelligence center of excellence by managing teams, building BI practices, and optimizing BI solutions using various tools.

The Identity Solution Engineer will design and automate Identity and Privileged Access Management solutions, enhance identity security governance, and collaborate with stakeholders on security concepts, leveraging expertise in various identity platforms.

The Sr. Manager of Software Engineering leads a global team to develop high-quality software, manage resources, and implement strategies to achieve organizational goals.

Supports and engineers complex client network environments, providing L3/L4 troubleshooting, incident and change management, network architecture, capacity planning, monitoring, automation, and performance improvements. Designs hybrid AWS and Azure networking solutions, develops roadmaps and technical requirements, researches emerging technologies, and provides consultative direction to customers and internal teams. The role leads complex projects and serves as a network subject matter expert.

Provides advanced L3 network operations support for client environments, troubleshooting performance and communications issues, designing complex LAN/WAN, security, SDN, and hybrid cloud architectures, and leading network projects and roadmaps. The role manages incidents, changes, problems, capacity, documentation, automation, and process improvements while advising clients and evaluating emerging technologies. It requires deep expertise in Cisco, firewalls, routing protocols, AWS and Azure networking, and hybrid connectivity.

Architect and develop enterprise-scale distributed systems and microservices using Java, Spring, AWS, Docker, and Kubernetes. Build event-driven architectures, optimize Oracle and distributed database performance, establish engineering standards, mentor junior engineers, conduct code reviews, and troubleshoot complex production issues. Collaborate with architects and stakeholders to deliver technical solutions, evaluate emerging technologies, and champion DevOps practices and CI/CD pipelines.

Develop, deploy, and troubleshoot cloud-based applications across SaaS/PaaS/IaaS. Build and optimize ETL/ELT workflows and data warehousing on Snowflake and AWS, integrate cloud applications via APIs, and collaborate with project managers to deliver solutions.

Perform application risk assessments (using NIST/ISO frameworks), validate security controls, identify and rate application risks, document findings, track remediation with owners, maintain GRC records, support risk evaluations, and improve playbooks and processes while communicating risks clearly.

Own the architecture, scalability, governance, and technical direction of Amtech’s cloud data platform, including warehouses, tenant data stores, feature stores, and event pipelines. Lead multi-tenant data architecture, hybrid AI data routing, data security, observability, and reliability standards. Build data foundations for analytics, machine learning, and AI agents, including vector databases and RAG pipelines. Provide technical leadership through design reviews, mentoring, roadmap planning, and cross-functional architecture collaboration.

The Infrastructure Engineer will build and manage infrastructure systems, ensuring reliability, scalability, and security through automation, incident management, and collaboration with teams to support business objectives.

Perform functional quality assurance for complex payment-processing flows, validating end-to-end transactions, integrations, financial accuracy, and global payment standards. Develop and review test scenarios, cases, and plans; manage defects; collaborate with architecture and development teams; and analyze testing issues. The role requires payment-domain expertise, automation and API testing experience, Agile methodology knowledge, Linux and database familiarity, and strong communication skills.

Designs, builds, and optimizes enterprise-scale software systems and cloud platforms. Develops infrastructure as code with Terraform, automates infrastructure using scripting, and implements CI/CD pipelines. Applies DevSecOps and SRE practices, including monitoring, incident management, and performance tuning. Integrates generative AI into engineering workflows and leads architectural and technical decisions across AWS, Azure, and GCP environments while collaborating with stakeholders and technical teams.

Design, build, test, deploy, and improve production full-stack applications. Develop frontend, backend, data layers, APIs, and user experiences using modern web technologies. Create and maintain n8n workflows, integrate third-party services and event-driven systems, and apply AI-assisted engineering tools. Collaborate with product teams and stakeholders while implementing cloud, DevOps, CI/CD, observability, security, and scalable architecture best practices.

Design, develop, test, and maintain secure, scalable software for enterprise SaaS platforms. Build services, APIs, integrations, and platform components while contributing to technical design, code reviews, troubleshooting, production support, performance, reliability, automation, observability, CI/CD, and DevOps improvements. Collaborate across product and engineering teams, mentor junior engineers, and communicate technical progress and trade-offs.

Lead and manage software engineering teams to deliver secure, scalable enterprise SaaS and hybrid platform capabilities. Drive architecture, agile/DevOps/CI/CD and test automation improvements, mentor technical staff, coordinate cross-functional stakeholders, participate in design and code reviews, and communicate risks and progress to leadership to ensure roadmap execution.

Designs, develops, tests, and maintains scalable enterprise SaaS software, APIs, platform components, integrations, and customer-facing capabilities. The role includes technical design, code reviews, troubleshooting, production support, performance and reliability improvements, CI/CD and DevOps practices, cross-functional collaboration, and mentoring junior and mid-level engineers. The engineer will influence technical direction and work across interconnected, cross-platform systems using C# and .NET.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.

Drive cloud security strategy, architecture, and implementation across multi-cloud environments. Manage CSPM, CWPP, CNAPP, and SIEM tooling; conduct security governance, compliance assessments, incident investigations, threat analysis, and remediation. Partner with SOC, threat intelligence, architecture, engineering, and vulnerability management teams. Define secure cloud requirements, maintain documentation and runbooks, and improve security controls through automation and security monitoring.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Work with enterprise customers to design, build, and deploy production-grade AI solutions on the Cogentiq platform. Implement integrations with enterprise systems, develop connectors, backend services, and microservices, ensure scalability, security and observability, troubleshoot deployments, and turn deployment learnings into reusable platform capabilities.

Hands-on engineering lead responsible for designing and implementing accounting-domain technology solutions. Code, review, release, mentor team, champion engineering best practices, work with stakeholders, and drive AI adoption across SDLC.