Top AWS Jobs in Pune

The Technical Account Manager owns customer onboarding, engages with senior stakeholders, drives technical adoption, collaborates across teams, monitors customer satisfaction, advocates for customer needs, and ensures continuous improvement in processes.

Own application security across mobile apps, APIs, microservices, cloud infrastructure, AI products, and third-party integrations. Responsibilities include threat modeling, architecture reviews, penetration testing, secure coding, vulnerability management, incident response, SSDLC onboarding, CI/CD security tool integration, cloud hardening, developer training, and communicating risk. The role also assesses AI and LLM security risks and develops production guardrails and automation.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

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.

Own and modernize the enterprise BI environment, including Power BI governance, dimensional data modeling, AWS lakehouse architecture, and migration to Amazon QuickSight. Establish reliable data pipelines, metric governance, security, and reporting standards while enabling AI-driven analytics such as forecasting, anomaly detection, and natural-language querying. Partner with executives and cross-functional teams, support strategic reporting, and mentor analysts and developers.

Own regional sales targets by presenting Netskope cloud security solutions, leading demos, POCs and evaluations, gathering technical requirements, resolving customer issues, and providing product feedback to drive adoption and revenue. Heavy regional travel and cross-functional escalation required.

Drive sales of Netskope cloud security solutions by presenting architecture and demonstrations, gathering technical requirements, leading evaluations and proof-of-concepts, responding to RFIs/RFPs, and differentiating against competitors. Partner with customers and internal teams to resolve issues, provide product feedback, support customer success, and influence security executives and architects. The role requires extensive experience with security, networking, identity, cloud, endpoint, and public cloud technologies, plus regional travel.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

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.

Hands-on Salesforce DevOps Engineer responsible for developing and executing DevOps strategy, building Jenkins and GitHub Actions CI/CD pipelines, automating deployments, managing test environments, integrating quality gates, coordinating Salesforce code, metadata, and data migrations, monitoring environment health, troubleshooting issues, and managing production releases with minimal downtime. The role also requires AWS integration expertise, Python and Groovy scripting, operational excellence, and collaboration with global engineering teams.

Designs and maintains cloud infrastructure using infrastructure-as-code, builds CI/CD pipelines, and improves reliability, scalability, security, and deployment workflows. Manages monitoring, alerting, logging, automation, incident response, and infrastructure troubleshooting across AWS and Azure environments. Collaborates with engineering teams, establishes DevOps tooling standards, and contributes to operational playbooks. Requires strong experience with Terraform, Linux, containers, Kubernetes, scripting, observability, and cloud security practices.

Develop and support large-scale backend software projects using Node.js, databases, RESTful APIs, and modern web technologies. Responsibilities include system design, data modeling, query optimization, debugging, production maintenance, UI component development, security and performance optimization, and collaborative Agile/Scrum delivery. The role also involves client interaction, troubleshooting, documentation, and prioritizing work across cross-functional teams.

Leads backend-focused software development, including designing, coding, testing, debugging, deploying, and supporting large-scale applications. Develops RESTful APIs, manages databases, maintains production systems, and applies authentication, security, and performance practices. Builds supporting UI components using HTML, CSS, JavaScript, and Vue.js. Collaborates in Agile/Scrum teams, uses Git and JIRA, troubleshoots technical issues, communicates with stakeholders, and may mentor junior developers.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

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.

Leads data protection risk and remediation across business and technology platforms. Identifies security risks, conducts assessments, defines remediation strategies, drives control compliance, and partners with engineering, architecture, technology, risk, and business stakeholders. Acts as an information security subject matter expert, advises on pragmatic security solutions, improves processes and automation, and communicates risks and requirements clearly to support data protection and regulatory objectives.

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.

Lead partner-focused pre-sales architecture for MongoDB Atlas: design scalable, secure cloud and hybrid solutions; advise partners and sellers; build joint offerings, demos, workshops, and reference architectures; support modern AI patterns (RAG, vector search); influence product roadmap; enable field teams and mentor peers.

Design, develop, and maintain cloud infrastructure and automation using Terraform and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab). Build reusable platform components, integrate security and testing into deployments, use AI tools to improve code and IaC productivity, support monitoring, troubleshooting, and incident response, and participate in on-call rotation and continuous improvement.

Leads client cloud security assessments, Wiz deployments, multi-cloud connector onboarding, posture tuning, compliance mapping, and remediation planning. Integrates Wiz with SIEM, SOAR, ticketing, CI/CD, Kubernetes, and IaC workflows. Produces technical designs, documentation, runbooks, and operational handover materials while tracking delivery milestones and advising stakeholders. Supports pre-sales demonstrations, proof-of-value efforts, scoping, and estimation.

Provides L3 administration, architecture, automation, and technical leadership for enterprise Linux infrastructure across on-premises, virtualized, and cloud environments. Responsibilities include Terraform-based infrastructure as code, Kubernetes/OpenShift administration, Ansible and scripting automation, storage and virtualization management, patching, hardening, performance tuning, incident response, and capacity planning. The role supports mission-critical 24x7 environments, leads complex troubleshooting and transformation initiatives, collaborates across technical teams, and mentors junior engineers.

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.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.