Top AWS Jobs in Pune

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.

Lead the development of secure, scalable software and applied AI solutions at Barclays. Responsibilities include designing AI applications, collaborating with product and engineering teams, conducting code reviews, ensuring testing and secure coding, guiding technical direction, mentoring colleagues, managing risks and controls, and advising stakeholders. The role requires expertise in applied AI, AWS, software architecture, leadership, and stakeholder communication, with desirable experience in big data, cloud data platforms, and data governance. Based in Pune.

Leads the design, development, and delivery of scalable, secure software and applied AI solutions. Drives data technology innovation, software architecture, responsible AI adoption, technical leadership, mentoring, stakeholder collaboration, project execution, risk management, and continuous improvement. Works with AWS services, AI frameworks, retrieval-augmented generation, vector databases, cloud data platforms, and governance controls.

Design, build, test, and maintain scalable SaaS platform features and services. Participate in design and code reviews, troubleshoot production issues, improve reliability/security, mentor junior engineers, and collaborate across product, QA, and operations.

Lead architecture and technical design for enterprise SaaS and hybrid platforms. Drive secure, scalable, reliable implementations across distributed systems, mentor engineers, guide design and code reviews, improve engineering standards (CI/CD, testing, observability), and coordinate with product and cross-functional teams to deliver complex initiatives.

Design, develop, and support software solutions by overseeing database management and enhancing application environments while ensuring secure coding practices and operational effectiveness.

Lead data investigations, perform ETL and analytical modeling, provide insights and feasibility analyses to support sales and clients, develop/automate reporting and interfaces, and manage cross-functional analyst teams across Comscore product areas.

Lead incident response, threat hunting, cloud and product security investigations across corporate, cloud, and product environments. Conduct digital forensics, malware analysis, vulnerability investigations, and root cause analysis. Develop automated security response playbooks, improve threat detections using MITRE ATT&CK, and advise engineering and business teams on secure design, incident handling, policies, and security metrics.

Develop and deploy machine learning, deep learning, and computer vision solutions for image classification, object detection, segmentation, OCR, and video analytics. Prepare and annotate datasets, optimize models for production performance, collaborate on system integration, and document architectures and deployment workflows. The role also involves staying current with AI/ML research and may include real-time video processing, edge deployment, 3D vision, SLAM, and AR/VR technologies.

Leads DevOps and SRE practices for enterprise data and AI platforms, focusing on reliability, scalability, security, automation, and operational excellence. Responsibilities include designing CI/CD pipelines, managing cloud infrastructure, implementing Infrastructure as Code, defining SLOs and observability standards, leading incident response, improving MTTR, and mentoring engineers. The role also establishes operating models, governance, on-call processes, and platform reliability practices across data engineering, AI/ML, application, and product teams.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Develop data engineering and analytics solutions using Python, Snowflake, and AWS. Collaborate with analytics stakeholders to solve sophisticated problems, connect data to business strategy, and deliver measurable business value. The role requires strong analytical, technical, SQL, communication, and problem-solving skills, plus the ability to manage complex projects independently. Experience with large-scale datasets, relational and NoSQL databases, ETL tools, continuous integration, and Agile/Scrum is beneficial.

Lead design and delivery of scalable, cloud-native SaaS features across frontend and backend. Collaborate with cross-functional teams, mentor junior engineers, troubleshoot complex issues, and drive adoption of CI/CD, observability, and AI-driven UX practices to improve product outcomes and customer success.

Leads commercial delivery across complex enterprise data and AI/ML engagements, managing risks, scope, governance, reporting, customer outcomes, and cross-functional teams. Acts as a trusted advisor to senior stakeholders, supports account expansion, oversees statements of work and change control, protects margins, improves delivery practices, and mentors junior team members. The role requires strong cloud and modern data platform knowledge, executive communication, and experience managing Agile, Scrum, or hybrid delivery frameworks.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

The Full Stack Lead will design, develop and improve software solutions while ensuring high quality, collaboration, and adherence to secure coding practices. The role involves mentoring engineers and managing complex projects in the banking domain.

Serve as trusted technical advisor for strategic accounts, design and build Databricks-based Lakehouse and GenAI/ML architectures, deliver proofs of concept, collaborate with sales/product/engineering, and support global account implementations and integrations across cloud environments.

Lead incident response, threat hunting, and forensic investigations across corporate, cloud, and product environments. Conduct cloud and container forensics, malware analysis, build detections and automation, collaborate with engineering to remediate vulnerabilities, and improve security posture using frameworks like MITRE ATT&CK.

Partner with sales teams to win and expand enterprise customers by owning technical sales activities. Assess customer requirements, conduct product demonstrations and proofs of value, respond to RFPs and RFIs, build stakeholder relationships, and communicate Chainguard’s security benefits. The role also supports webinars, conferences, marketing initiatives, feature requests, and customer education while serving as a trusted technical advisor.