Top Tech Jobs & Startup Jobs in Pune

Designs, builds, and operates enterprise AI platforms across public and private clouds. Develops MLOps, model deployment, monitoring, observability, governance, automation, and infrastructure capabilities supporting machine learning and generative AI workloads. Responsibilities include troubleshooting production systems, improving reliability and scalability, collaborating with engineering, security, and governance teams, evaluating emerging AI technologies, contributing to architecture and platform strategy, and mentoring peers.

Designs, builds, and operates Mastercard’s enterprise Developer Workbench platform. Responsibilities include integrating developer tools, managing tooling lifecycles, creating standardized onboarding environments, advancing AI-assisted development capabilities, implementing CI/CD and cloud-native solutions, measuring developer productivity, and ensuring security and regulatory compliance. The role collaborates across product, platform, security, compliance, and engineering teams while contributing to technical strategy and engineering standards.

Designs, implements, secures, and supports multi-site LAN/WAN networks. Manages network projects, upgrades, troubleshooting, vendor engagement, change processes, baseline hardware checks, and mentors junior staff while ensuring PCI/DSS compliance and 24/7 network support.

Design and implement production-grade AI and ML features, including scalable GenAI and RAG applications, data pipelines, and distributed cloud solutions. Collaborate with architects and client-facing teams on requirements, design, testing, debugging, code reviews, and agile delivery. Conduct technology evaluations and proofs of concept, contribute to architecture, estimate complex work, and mentor engineers. Support ML platform development, CI/CD, monitoring, and full ML lifecycle management.

Administer and support AWS cloud and Windows Server environments, including monitoring, patching, vulnerability remediation, security hardening, troubleshooting, root cause analysis, automation with PowerShell, documentation, and infrastructure modernization or migration initiatives.

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.

Designs and develops Java and Node.js applications and microservices, optimizes databases and queries, maintains CI/CD pipelines, conducts code reviews, mentors junior developers, troubleshoots production issues, and collaborates with cross-functional teams to deliver scalable software solutions.

Sell Dynatrace to enterprise customers through a land-and-expand approach. Own a 40-account territory (0–2 customers, 35–40 prospects), drive new-logo acquisition, engage VP/C-level stakeholders, run product demos and market initiatives, coordinate with sales engineering, marketing, legal and finance, and ensure successful implementations and upsell opportunities.

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.

Manages small to medium technical projects from planning through completion, including project governance, budgets, resources, risks, issues, dependencies, stakeholder communications, and financial performance. Leads project teams, coordinates business and finance partners, aligns deliverables with outcomes, and escalates issues when necessary. Requires strong communication, facilitation, negotiation, technical concept translation, and knowledge of Agile, Scrum, Waterfall, and iterative development methodologies.

Lead the architecture, development, scaling, and modernization of Java-based AWS microservices and full-stack web interfaces. Build RESTful APIs, responsive UIs, automated testing pipelines, telemetry, and continuous delivery workflows. Optimize distributed systems for resilience, scale, and low latency while driving architecture discussions, code reviews, technical sizing, and mentorship across the engineering organization.

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.