Top Tech Jobs & Startup Jobs in Pune

Secures identities used by AI models, agents, services, pipelines, and other non-human actors. Responsibilities include identity discovery, inventory, lifecycle management, least-privilege access enforcement, monitoring, threat detection, architecture reviews, threat modeling, control validation, governance, reporting, training, and security-tool experimentation. The role partners with IAM, platform, and engineering teams to reduce identity risk and operationalize controls across development, testing, and production environments.

Supports the development and enhancement of Mastercard settlement services and Treasury capabilities. Responsibilities include gathering requirements, analyzing financial, operational, regulatory, customer, and system impacts, coordinating technology implementation, identifying risks, preparing leadership insights, and managing project workstreams, dependencies, documentation, and deliverables across cross-functional teams.

Technical lead for Ethoca Smart Subscriptions building cloud-native, high-scale, API-driven microservices and full-stack features. Deliver end-to-end product development, ensure NFRs, mentor engineers, drive automation, architecture decisions, and collaborate with global stakeholders.

Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.

Develop and scale generative AI applications, including RAG pipelines, answering engines, extraction tools, and content-authoring solutions. Build and optimize prompts, embeddings, vector databases, caching layers, and other GenAI components. Collaborate with data scientists and clients to deploy machine learning pipelines and manage the ML lifecycle using cloud platforms such as AWS, Azure, and GCP. Apply software engineering, DevOps, CI/CD, and distributed computing practices to create scalable, user-focused AI products.

Create and maintain SaaS administrator documentation, KB articles, and in-app content. Collaborate with product, engineering, UX, QA, and support; test and update docs for continuous delivery and beta releases; research unfamiliar topics to produce accurate, timely content.

Develop and maintain scalable full-stack applications using JavaScript, Spring Boot, microservices, MySQL, React, and Node.js. Build server-side and client-side components, apply enterprise design patterns, implement unit tests, and deliver work within established timelines.

Diagnoses and resolves moderately complex hardware, software, application, and connectivity incidents. Fulfills device configuration, software provisioning, access setup, and peripheral installation requests. Documents incidents and resolutions, identifies recurring issues, recommends process improvements, and communicates clearly with end users throughout the support lifecycle.

Leads cross-functional customer experience improvement initiatives by analyzing Voice of Customer feedback, complaints, surveys, operational metrics, and customer journeys. Facilitates root cause analysis, action planning, workshops, and stakeholder alignment; tracks risks, milestones, outcomes, and accountability. Manages complaint responses, documents activities in Salesforce, prepares executive reports, supports customer journey mapping, and ensures compliance with customer feedback and complaint-handling processes.

Owns a cybersecurity detection coverage area, including backlog prioritization, technical direction, detector design, implementation, code reviews, tuning, and performance measurement. The role improves detection fidelity, ATT&CK coverage, false-positive reduction, and regression prevention while translating threat intelligence, threat hunting, and SOC feedback into roadmap priorities. It requires deep expertise in at least one detection domain and hands-on detector-as-code development with version control and controlled deployment.

Lead end-to-end delivery of production-grade ML, Generative AI, and RAG solutions across multiple pods. Develop architecture-aligned delivery plans, manage dependencies, risks, releases, NFRs, and production readiness, while representing teams in senior governance forums. Guide ML versus GenAI decisions, RAG implementation, evaluation, guardrails, security, monitoring, and responsible model usage. Translate technical requirements into actionable epics and stories and ensure measurable business outcomes.

Supports SaaS customer provisioning, including account setup, product activation, trials, contract updates, portal changes, and deactivations. Validates requests against Salesforce, contracts, entitlements, approvals, and policies; coordinates with cross-functional teams to resolve blockers; follows SOPs; supports audits, SLA tracking, reporting, and documentation; and identifies automation and AI-assisted process improvement opportunities.

Own and support the Atlassian environment, including Jira and Confluence administration, user access, project configuration, workflows, integrations, documentation, dashboards, and reporting. Troubleshoot user issues, support ITSM processes, collaborate with IT, DevOps, and business teams, and improve platform governance, automation, scalability, and user experience.