Top AWS Jobs in Pune

Leads Twilio Segment’s data platform and pipeline engineering team, building high-scale ingestion, routing, and distributed data-processing systems. Responsibilities include architecting reliable cloud systems, guiding technical decisions, improving cost and performance, mentoring engineers, driving agile and automation practices, and translating technical strategy for stakeholders. The role requires managing software teams, overseeing multiple workstreams, and maintaining operational excellence across highly available systems processing large volumes of data.

Leads the operations, transformation, governance, and continuous improvement of content-related business systems across broadcast and digital media. Oversees metadata, AI-enabled workflows, automation, platform capacity, service resilience, roadmap planning, change prioritization, and delivery. Manages a small development and automation team while coordinating stakeholders, vendors, governance, cybersecurity, data protection, auditability, and responsible AI adoption.

Lead enterprise AI and machine learning strategy, architecture, development, and production deployment. Design predictive analytics, generative AI, LLM, RAG, and agent solutions; establish MLOps, governance, monitoring, and responsible AI practices; align initiatives with business value and ROI; communicate with executives and stakeholders; prioritize and deliver AI programs; and mentor data scientists, ML engineers, and analysts.

Design and develop test automation tools and frameworks for automotive electronics. Implement SiL/HIL automation and virtual validation, write C++ code, leverage CANoe/CANalyzer, work with vehicle and embedded protocols and interfaces, and ensure compliance with AUTOSAR, ASPICE, ISO 26262 and cybersecurity standards. Support CI/CD and cloud-based vehicle testing as needed.

Manage L2 production incidents across AWS and on-prem, perform RCA, drive permanent fixes, automate repetitive tasks with scripting, improve monitoring and observability, maintain runbooks, support Linux/Windows servers, and participate in 24x7 on-call rotations to improve uptime and reduce MTTR.

Provides senior-level administration, engineering, automation, and support for enterprise Windows Server environments across on-premises and cloud platforms. Responsibilities include L3 escalation, Active Directory and infrastructure management, Terraform-based deployments, Azure and AWS support, virtualization, patching, security hardening, disaster recovery, performance optimization, incident management, and troubleshooting. The role also leads modernization initiatives, mentors junior engineers, develops documentation, and participates in 24x7 on-call support.

Lead enterprise Salesforce architecture across multi-cloud, AI, Agentforce, MCP, Data Cloud, MuleSoft, Health Cloud, and Revenue Cloud ecosystems. Govern platform strategy, security, scalability, AI development standards, observability, and technical debt. Lead pre-sales engagements, executive presentations, RFPs, and solution design for healthcare and high-tech clients. Mentor technical teams and define compliant integrations with EHR, ERP, data, and AI platforms.

Build and deliver production-grade AI-native and cloud-native solutions, including backend microservices, API integrations, GenAI features, agentic workflows, and intelligent automation. Responsibilities include testing, code reviews, troubleshooting, technical debt reduction, cloud deployment, client technical consulting, proof-of-concept support, mentoring junior engineers, and contributing to engineering frameworks and architecture discussions.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Generate outbound demand for ANZ accounts through research, email, phone, and LinkedIn prospecting. Book qualified meetings and event attendees, support opportunity development, prepare client pitches, assist with RFPs and proposals, maintain CRM records, and accelerate pipeline follow-up. The role also supports partner events and requires ongoing learning about Fractal’s data and AI capabilities while working ANZ-aligned hours from Bengaluru.

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.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

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.

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.

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.