Top AWS Jobs in Pune

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Build the company’s QA practice and automation strategy from scratch. Design scalable automated testing for React Native mobile apps, APIs, and web applications; integrate tests into CI/CD; perform functional, exploratory, regression, performance, accessibility, security, and visual testing; manage defects, quality metrics, release criteria, and sign-off; and improve test coverage, reliability, and execution speed.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.

Leads enterprise infrastructure, asset lifecycle management, cloud architecture, IT operations, cybersecurity, compliance, disaster recovery, and client-facing IT governance. Responsibilities include maintaining uptime, managing hardware and software assets, optimizing licenses, automating IT processes, overseeing cybersecurity controls and audits, implementing backup and business continuity plans, leading 24x7 operations, and managing cloud, data center, network, vendor, and emerging technology strategies.

Own and execute the partnerships and alliances strategy across technology, cloud, SaaS, and platform partners. Build relationships, joint value propositions, co-marketing initiatives, partner pipeline, and revenue growth. Establish ecosystem governance, KPIs, reporting, incentive structures, and strategic agreements while enabling internal teams through training and certifications. Represent the company at partner events and collaborate with legal, finance, marketing, sales, and executive stakeholders.

Supports channel resellers and partners in India by developing technical strategies and solutions for cloud security. Acts as a technical advisor across AWS, Azure, GCP, and other cloud providers; delivers demos, partner training, conference presentations, technical business models, and executive-level sales engineering engagements. The role requires collaboration with account representatives and internal teams, with travel of up to 40% on occasion.

Lead AWS infrastructure architecture, design documentation, security hardening, networking, infrastructure-as-code automation, disaster recovery, and performance and cost optimization. Plan and execute cloud migrations, upgrades, and deployments while managing complex Linux environments, web servers, databases, and parallel incidents. Collaborate with application, development, and leadership teams to deliver resilient, secure, and efficient cloud infrastructure.

Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.

Design and develop scalable enterprise applications using Java, Spring, and microservices. Build RESTful APIs, data models, and cloud-native applications, deploy solutions on AWS, Azure, or GCP, and ensure code quality, performance, security, and CI/CD automation. Collaborate with stakeholders on product requirements and solution architecture.

Lead Python architecture, design, development, and delivery of scalable applications. Write, review, and optimize production code; mentor engineers; establish coding best practices; collaborate with product and cross-functional teams; make technical decisions; and resolve performance and scalability challenges.

Build scalable AI-powered web applications using React.js and Node.js. Develop responsive frontends, backend services, REST APIs, authentication, database integrations, and third-party cloud integrations. Integrate LLM platforms and implement chatbots, RAG, document analysis, semantic search, and automation features. Collaborate cross-functionally, write maintainable code, and participate in Agile development.

Respond to P1/P2 production incidents in a 24/7 rotation, triage infrastructure failures using Kubernetes, RabbitMQ, and PostgreSQL logs, stabilize systems, implement infrastructure fixes, escalate application issues, communicate incident status, and support system hardening and scaling improvements at senior levels.

Develop and maintain scalable web and mobile applications using ReactJS, React Native, and Node.js. Build RESTful APIs, integrate databases and cloud services, and implement authentication, security, HIPAA, and data privacy best practices. Collaborate with product, design, and data teams, participate in testing and code reviews, optimize performance, and integrate AI-powered APIs. The role is onsite in Pune and operates in an Agile/Scrum environment.

Lead the architecture, development, and scaling of Fold Health’s healthcare platform. Responsibilities include guiding engineering teams, building backend microservices, APIs, and frontend applications, ensuring HIPAA compliance, managing CI/CD and testing, optimizing performance, evaluating emerging technologies, and supporting roadmap planning. The role also involves mentoring engineers, leading proof-of-concept initiatives, and delivering reliable, data-driven healthcare products across web and mobile platforms.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Responsibilities include developing LLM, RAG, and agentic applications; creating document processing and evaluation pipelines; implementing security, governance, and audit controls; partnering with legal, IT, and data teams; and mentoring legal users on AI tools. The role requires technical leadership across software engineering, data science, legal operations, and enterprise AI infrastructure.

Design and operate production MLOps infrastructure for large-scale model training, deployment, monitoring, and rollback across SaaS, cloud, on-premises, and air-gapped environments. Build ML pipelines, model registries, containerized serving platforms, observability systems, and governance controls. Collaborate with engineering, security, compliance, and customer teams while managing production model reliability, performance SLOs, and incident response.

Build and operate Rubiscape’s internal AI-assisted developer platform, including custom LLM agents, IDE integrations, CLI tools, spec-to-code pipelines, and CI/CD quality gates. Manage prompt versioning, agent configurations, LLM logging, and automated code review and test generation. Integrate external AI development tools, monitor toolchain performance, collaborate with engineering teams, and document architecture and operational procedures.

Own the enterprise platform roadmap covering identity and access management, multi-tenancy, data governance, lineage, audit logging, integrations, deployment models, APIs, SLOs, technical debt, and platform health. Partner with infrastructure, security, DevOps, engineering, studio PMs, solutions, and partnerships teams to deliver scalable, compliant, reusable platform capabilities for enterprise SaaS and ISV customers.

Secure Rubiscape’s cloud deployment environments across AWS, Azure, GCP, hybrid, on-premises, and air-gapped infrastructure. Responsibilities include cloud architecture hardening, IAM governance, CSPM operations, Kubernetes security, IaC scanning, BYOC tenant isolation, compliance control validation, audit evidence preparation, and incident response. The role also develops security automation, supports remediation, and improves defenses following cloud security incidents.

Designs and operates Rubiscape’s multi-cloud infrastructure across AWS, Azure, GCP, and OCI. Responsibilities include landing zones, networking, Terraform infrastructure as code, cloud security controls, data residency architectures, Kubernetes platforms, cost optimization, BYOC deployments, disaster recovery, and backup procedures. The role also supports regulated and air-gapped environments while partnering with enterprise customers and maintaining reliable, auditable infrastructure at scale.

Own and improve Rubiscape’s multi-cloud Kubernetes platform across SaaS, BYOC, on-premises, hybrid, and air-gapped deployments. Responsibilities include Terraform and Helm infrastructure provisioning, GitOps delivery with ArgoCD and GitHub Actions, security policy enforcement, observability, stateful data platform operations, and Python or Go automation. The role also partners with product engineers to build self-service tooling, improve reliability, and reduce infrastructure toil.

Build, train, evaluate, and operationalize machine learning models for Rubiscape’s AutoML and MLOps platform. Responsibilities include feature engineering, data quality collaboration, MLflow-based experiment tracking and model versioning, production deployment, and monitoring for drift, bias, and performance degradation. The role requires production-quality Python development and collaboration across data and platform engineering teams, with opportunities to prototype applied machine learning approaches.

Owns the end-to-end management of system integrator, VAR, and cloud partner relationships. Responsibilities include partner recruitment, onboarding, enablement, co-sell pipeline generation, joint business planning, deal registration, pricing coordination, competitive positioning, CRM pipeline reporting, and executive relationship development. The role requires enterprise software channel sales experience, revenue attainment, knowledge of channel mechanics, CXO-level engagement, and cross-functional collaboration on complex partner-led deals.

Design and ship production software across Rubiscape’s Decision Intelligence Platform using AI-assisted, spec-driven development. Responsibilities include translating functional specifications into implementation tasks, pairing with LLM coding tools, validating AI-generated code and tests, participating in AI-assisted reviews, creating prompt and agent patterns, monitoring production code quality, and collaborating with prompt and specification engineering teams.

Own the health and growth of Rubiscape’s SI, VAR, and cloud partner portfolio. Responsibilities include recruiting and enabling partners, driving co-sell pipeline and revenue, conducting joint business planning, coordinating deal registration and pricing, supporting competitive deals, tracking CRM metrics and MDF usage, and representing the company at ecosystem events. The role requires enterprise channel sales experience, knowledge of partner mechanics, CXO-level engagement, and cross-functional collaboration.