Top AWS Jobs in Pune

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.

Develop and deploy generative AI applications, integrate LLM APIs, perform text analysis using traditional machine learning and GenAI, and manage the machine learning lifecycle from problem definition through deployment and monitoring. Collaborate with cross-functional teams, translate business needs into technical solutions, evaluate new GenAI techniques, and document technical concepts.

Lead Software Engineer responsible for designing high-performance Java applications, mentoring developers, and implementing DevOps practices while optimizing software delivery pipelines.

As a Staff Data Platform Engineer, you will lead the design and development of data infrastructure, manage CI/CD processes, and implement observability for data pipelines.

Build and maintain full-stack web applications using React or Angular and .NET, Node.js, Laravel, or similar frameworks. Integrate LLM-powered features and use AI coding tools and autonomous agents to accelerate development, testing, and prototyping. Contribute to cloud infrastructure, deployments, databases, APIs, microservices, performance optimization, and solution design. Collaborate with AI specialists, international stakeholders, and distributed teams in Agile environments while maintaining high-quality, maintainable code.

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.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems for intelligent networking. Drive the full software lifecycle from design through production operations, establish technical direction, mentor engineers, and improve system reliability, security, observability, performance, and scalability.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive the full software lifecycle, establish technical direction, mentor engineers, and ensure production systems are secure, observable, resilient, and highly performant.

Lead the technical vision, architecture, development, testing, deployment, and operations of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Build secure, resilient, observable services processing high-volume network data; guide technical strategy, improve engineering practices, and mentor engineers. Translate complex technical challenges into production-ready solutions across intelligent networking, cloud platforms, analytics, and automation.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drives technical vision, builds secure and observable production services, mentors engineers, leads technical discussions, and improves system reliability and performance. Requires extensive software engineering and distributed systems experience, proficiency in a general-purpose programming language, cloud expertise, and familiarity with AI, stream processing, network telemetry, or large-scale analytics.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Defines technical strategy, builds secure and observable production services, processes high-volume network data, and mentors engineers. The role requires hands-on software engineering leadership across the full lifecycle, including design, coding, testing, cloud deployment, operations, and technical reviews.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Define technical vision, build secure and observable high-performance services, process large-scale network data, and integrate intelligent networking capabilities. Mentor engineers, lead technical discussions and reviews, improve system reliability and performance, and translate complex technical challenges into production-ready solutions.

Lead the architecture and development of scalable, secure, observable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive technical vision, software delivery, system reliability, and operational excellence while mentoring engineers. Build production platforms processing high-volume network and operational data, integrating cloud infrastructure, machine learning, telemetry, and automation capabilities.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Define technical vision, build secure and observable production services, process high-volume network data, mentor engineers, and guide technical strategy across intelligent networking and cloud-native platforms.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Design and engineer Snowflake solutions using Cortex AI capabilities such as RAG, semantic search, and multi-agent systems. Apply capital markets expertise while communicating with and managing clients. Nice-to-have experience includes PostgreSQL, Talend, Azure or AWS, Denodo, Iceberg tables, and migration from Oracle or DB2 to Snowflake.

Lead the implementation, configuration, administration, and integration of Alation Data Catalog. Manage metadata ingestion, data lineage, business glossaries, data quality, classification, stewardship, governance workflows, and platform integrations. Develop automation using Alation APIs, REST APIs, SQL, and Python; troubleshoot catalog operations; collaborate with technical and business stakeholders; and mentor Alation developers.

Supports CI/CD pipelines, cloud environments, automated builds and deployments, monitoring, logging, troubleshooting, documentation, and incident response. Collaborates with development, QA, Data Science, and MLOps teams to deploy and monitor applications and machine learning models. Assists with AIOps integration, infrastructure automation, ticket resolution, rollbacks, and maintaining standard operating procedures while developing DevOps expertise.

Lead and manage AI engineering teams to design, build, and maintain scalable ML/GenAI infrastructure and deployment pipelines on AWS. Drive technical strategy, governance, CI/CD and IaC practices, mentor staff, collaborate with stakeholders, and ensure secure, high-quality delivery aligned to business objectives.

Develop and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

The Solutions Architect will support India sales by assessing customer cloud security needs, designing tailored CNAPP solutions, leading POCs and technical demonstrations, and integrating solutions with AWS, Azure, GCP, and CI/CD environments. The role advises customers and partners on cloud security and DevSecOps, supports account strategy and technical closure, enables channel partners, creates technical collateral, and provides regional feedback to product and engineering teams.