Top Tech Jobs & Startup Jobs in Pune

Leads end-to-end planning, execution, governance, and delivery for large transformation programs with multiple workstreams and stakeholders. Establishes PMO frameworks, manages risks and dependencies, solves complex problems, maintains momentum, and partners with clients and senior leaders. Mentors junior PMO professionals and ensures successful outcomes across Agile, Waterfall, and hybrid environments.

Design, implement, and optimize endpoint and data protection platforms (EDR, DLP, CASB, EPM). Perform product evaluations, POCs, incident investigations, policy tuning, vendor roadmap reviews, and technical documentation. Collaborate with stakeholders to harden endpoints, improve data classification and detection logic, and apply AI/automation to security use cases.

Leads teams developing and scaling GenAI, Agentic AI, and Classical AI applications for clients. Responsibilities include providing AI strategy and thought leadership, managing stakeholder relationships, supporting business development, overseeing budgets and vendors, driving go-to-market initiatives, hiring and mentoring technical talent, and partnering with R&D teams to commercialize AI technologies.

Develop and maintain SailPoint Identity products by writing quality Java and JavaScript code, debugging complex issues, delivering enhancements and defect fixes, and supporting customer escalations. The role involves developing REST services and UI components, integrating databases and enterprise systems, creating unit tests, collaborating with engineering and product stakeholders, and gradually taking ownership of system modules in a hybrid Pune office environment.

Build, operate, and scale cloud infrastructure and deployment pipelines for a secure FedRAMP-authorized environment. Develop automation for reliable microservice operations, manage platform systems and runbooks, monitor infrastructure, improve performance and MTTR, participate in on-call and incident response, and contribute to operational architecture and SRE practices.

Develop production-grade data science and analytics solutions across diverse business problems. Apply statistics, hypothesis testing, feature engineering, machine learning, NLP, OCR, and generative AI techniques. Use Azure ML and MLOps practices to deploy models, communicate insights through storytelling, engage stakeholders, and mentor other data scientists. The role focuses on analytical problem-solving within the banking, financial services, and insurance domain.

Supports management within MetLife’s financial services organization. The provided description contains company background, strategic priorities, and an AI-enabled workplace overview, but does not specify the assistant manager’s day-to-day responsibilities, qualifications, compensation, travel, or clearance requirements.

Designs, builds, maintains, and optimizes large-scale ETL/ELT pipelines across Azure and on-premises environments. Processes structured and unstructured data using batch and real-time technologies, ensuring reliability, scalability, performance, quality, security, and compliance. Collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams. Requires expertise in big data frameworks, cloud platforms, distributed databases, data architectures, streaming, performance tuning, and data validation.

Develops and owns performance, scalability, resilience, and chaos-testing strategies for critical payment-network services. Designs load, stress, endurance, failover, and controlled-failure experiments; analyzes system behavior and bottlenecks; automates testing in delivery pipelines; defines production-readiness criteria; documents risks and tracks remediation. Partners with engineering and operations teams, supports production readiness, guides junior engineers, and applies AI-assisted tools to improve validation and engineering efficiency.

Support and enhance SAP Concur Expense and Travel systems, including configuration, reporting, API integrations, and boundary-system connectivity through Boomi. Gather requirements, design and develop secure, testable solutions, create Cognos reports, provide ongoing application support, and collaborate with business stakeholders and project teams. Ensure compliance with development methodologies, security standards, estimates, testing, documentation, and Mastercard policies.

Supports enterprise-wide change initiatives in a SAFe Agile environment, coordinating planning, delivery, documentation, dashboards, reporting, testing, stakeholder communications, and user readiness. Analyzes delivery data, risks, feedback, and performance indicators to identify trends, root causes, and opportunities for AI-enabled automation. Converts analysis into actionable recommendations, supports agile ceremonies and continuous improvement, manages requirements and testing activities, and helps resolve delivery barriers across business and technology teams.

Manage technical customer success for Zscaler solutions, aligning customer goals with product capabilities, driving implementations and best-practice adoption, mitigating risks, and identifying growth opportunities. Build stakeholder relationships, conduct reviews, troubleshoot networking issues, develop knowledge-base content, and collaborate with Sales, Support, and Product. The role supports enterprise cloud security deployments and requires expertise in networking protocols, operating systems, authentication, and customer-facing account management.

Administer and optimize Cloudera CDP/CDH environments and enterprise data-processing workloads. Develop PySpark and Python solutions, build CI/CD pipelines with Jenkins and Git repositories, integrate security and code-quality tools, optimize Hive and Impala SQL, monitor platform health, perform upgrades, troubleshoot issues, and implement security, access management, governance, and high-availability practices.

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.

Leads the strategy, development, commercialization, and full lifecycle execution of UL Solutions’ Marketing Claim Verification Program. Coordinates cross-functional teams, manages stakeholders, risks, budgets, governance reviews, testing methodologies, customer-facing deliverables, and continuous improvement. Supports growth through opportunity development, proposals, customer engagement, and value proposition creation while translating technical concepts into market-focused solutions.

Defines enterprise architecture direction, standards, patterns, governance, and roadmaps across complex initiatives. Guides application rationalization, modernization, technical debt reduction, integration strategies, data architecture, and technology selection. Advises senior leaders on technical and financial implications, coordinates alignment across engineering, security, data, product, and business teams, and promotes scalable, secure, AI-ready solutions. Maintains application TCO analysis, leads architecture reviews, and mentors architects and technical teams.