Top AWS Jobs in Pune

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

Build and own full-stack products end to end, from requirements gathering with operational teams through design, development, deployment, instrumentation, and iteration. Develop GenAI capabilities using LLMs, agents, RAG, and workflow automation. Manage reliability through testing, code review, production support, and technical debt reduction. Collaborate clearly with nontechnical stakeholders, and at senior levels lead ambiguous projects and mentor engineers.

Develop audience segments, customer profiles, and predictive models using behavioral, transactional, viewing, and digital data. Apply statistical and machine learning methods for clustering, churn, propensity, content affinity, and customer value analysis. Conduct exploratory analysis, evaluate models, support campaign measurement, and translate findings into business recommendations. Collaborate with Marketing, Product, Media Sales, and Content teams while presenting insights to technical and non-technical stakeholders.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Monitor and support a multi-cloud infrastructure across Azure and AWS, including Windows, Linux, and SQL Server systems. Responsibilities include incident response, alert triage, patching, compliance tracking, network troubleshooting, reliability reporting, runbook improvement, and automation. The role participates in a follow-the-sun on-call rotation and supports VPNs, DNS, subnets, routing, monitoring tools, and infrastructure maintenance.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.

Own and mature the organization's governance, risk, and compliance program. Responsibilities include maintaining policies and risk registers, conducting risk and vendor assessments, managing control libraries, coordinating audits, testing controls, tracking remediation, administering GRC platforms, responding to security questionnaires, and supporting privacy and incident response compliance. The role advises leadership and cross-functional teams while monitoring regulatory and framework changes.

Identify, triage, and remediate vulnerabilities in web applications and proprietary software. Refactor .NET/C# code, implement secure coding standards, conduct code reviews, support secure SDLC practices, and assess SAST, DAST, penetration testing, and bug bounty findings. Monitor emerging threats and OWASP Top 10 updates while supporting compliance with FERPA, COPPA, GDPR, UK GDPR, and other data protection standards. The role is fully remote but requires permanent residency in India and specified IST working hours.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

The Enterprise Architect will design R&D IT solutions, enhance analytics platforms, ensure regulatory compliance, and mentor teams while collaborating with multiple stakeholders.

Develop, train, deploy, and maintain machine learning and generative AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Design scalable ETL pipelines, optimize databases, process large datasets with Spark and Snowflake, and create business visualizations. The role requires expertise across Python, SQL, cloud AI platforms, machine learning frameworks, databases, and data engineering.

Designs and evolves highly scalable backend systems, APIs, distributed workflows, databases, messaging infrastructure, and observability solutions. Leads cross-team architecture initiatives, resolves complex production issues, optimizes performance and data access, establishes reliability and engineering standards, modernizes technical debt, mentors engineers, and remains hands-on with critical systems.

Develop NLP and generative AI models for text classification, sentiment analysis, entity recognition, translation, and semantic analysis. Responsibilities include text preprocessing, feature engineering, model training and evaluation, exploratory data analysis, algorithm optimization, and large-scale data processing. Collaborate with engineering and domain teams to integrate solutions, document methodologies, and apply emerging NLP and machine learning techniques.

As a Senior Technical Program Manager, you'll collaborate with engineers to develop B2B payment solutions, managing projects from inception to completion and ensuring effective communication across teams.

Provides L1/L2 desktop and endpoint support, including device setup, onboarding, troubleshooting, remote assistance, imaging, asset tracking, and access provisioning. Maintains endpoint security, patching, encryption, and compliance controls while monitoring SIEM/EDR alerts. Supports incident response, vulnerability remediation, phishing and malware investigations, cloud security reviews, documentation, and coordination with infrastructure and security teams. This hybrid role is based in New Delhi and requires office attendance two days weekly.

Lead implementation and operations of enterprise observability and AIOps platforms (Elastic stack preferred). Onboard infrastructure, cloud, and applications; build dashboards, alerts, ingestion pipelines; support incident investigation, automation, IaC, upgrades, and runbook documentation to improve reliability and operational readiness.

Designs, implements, supports, upgrades, and optimizes middleware and systems infrastructure using IBM DataPower or IBM MQ. Responsibilities include high-availability configuration, virtualization, storage, data protection, automation, patching, disaster recovery planning, vulnerability remediation, monitoring, capacity reporting, and systems management. The role also mentors technical staff, manages multiple projects, and supports 24/7 rotational operations.

Manage information security, privacy, compliance, customer security requests, and third-party risk for a cloud SaaS platform. Responsibilities include responding to RFPs and questionnaires, maintaining security controls and evidence, coordinating audits, managing policies, conducting vendor assessments, tracking corrective actions, and collaborating with engineering, legal, privacy, HR, and customer teams across SOC 2, ISO, HIPAA, and related frameworks.

Build and support production-grade Node.js and TypeScript backend services for a SaaS product integrating with Coupa and enterprise applications. Design REST integrations, data mappings, transformations, validation, synchronization, error handling, tests, and troubleshooting workflows. Deploy containerized services on AWS, support CI/CD, observability, customer implementations, and multi-tenant configurations. Collaborate through Git workflows, documentation, technical specifications, runbooks, and AI-assisted development while maintaining code quality.

Leads enterprise test engineering by designing test strategies, building automation frameworks, and managing end-to-end testing across API, integration, system, UAT, and nonfunctional testing. Drives CI/CD quality gates, continuous testing, defect prevention, quality metrics, root cause analysis, and automation coverage improvements. The role leads test engineering teams, manages stakeholders, supports Agile delivery, and advances quality transformation across cloud, microservices, and distributed systems.

Designs, develops, and operates enterprise automation and AI-enabled solutions using ServiceNow, Power Platform, machine learning, and agentic AI. Builds workflows, portals, applications, integrations, and CSM solutions; supports platform modernization, governance, security, testing, and production stability. Provides technical leadership, troubleshooting, vendor coordination, stakeholder collaboration, and team coaching while driving adoption of emerging automation technologies.

Own embedded proxy software deployed on appliance fleets across school networks. Develop production Rust systems software from the OS layer through AWS-managed control planes, including network programming, transparent proxying, containerized appliance deployment, performance testing, profiling, and infrastructure integration. Work with embedded Linux, hardware-adjacent systems, constrained devices, and fleet-scale reliability.

Senior full-stack .NET developer responsible for designing, developing, integrating and deploying web applications. Lead technical delivery, mentor teams, implement CI/CD, unit tests, and collaborate with stakeholders. Work with .NET Core, C#, Azure, Angular, SQL and ORMs while promoting ownership, Agile practices, and strong OO design.

Lead architecture and delivery of enterprise .NET solutions: design scalable secure systems, guide development teams, engage clients, mentor engineers, and ensure successful production deployments.