Top Tech Jobs & Startup Jobs in Pune

Analyzes and reports credit and counterparty risk exposures under regulatory frameworks including Basel, RWA, SCCL, and SA-CCR. Produces recurring regulatory and management reports, supports risk data aggregation, regulatory implementations, UAT, audits, and validation. Develops dashboards and reporting automation using Excel, Power Query, SQL, and Power BI. Maintains controls and documentation while communicating risk insights to senior stakeholders.

Leads business discovery, requirements gathering, data analysis, process-flow analysis, and delivery of enterprise data products. Translates business needs into requirements, user stories, data mappings, business rules, metrics, and acceptance criteria. Partners with stakeholders, product owners, data teams, engineers, and architects across financial-services functions. Supports data governance, lineage, metadata, semantic modeling, data-quality validation, root-cause analysis, roadmap development, and user acceptance testing.

Builds security automation and AI-enabled workflows that improve threat response, vulnerability management, control validation, evidence collection, and operational resilience. Develops Python automation, secure API integrations, playbooks, LLM-based vulnerability solutions, and enterprise AI agents. Partners with security, cloud, infrastructure, identity, risk, audit, and governance teams to deliver secure, auditable, reliable production capabilities in a regulated financial-services environment.

Engineers and operates enterprise security platforms across SASE/SSE, zero trust, firewalls, vulnerability management, SaaS protection, AI security, and ServiceNow integrations. The role supports platform health, upgrades, resilience, troubleshooting, metrics, audits, regulatory examinations, runbooks, and vendor escalations. It partners with engineering, infrastructure, applications, risk, and audit teams to deliver reliable, scalable, and auditable security capabilities in a regulated financial-services environment.

Designs and builds automation-first cybersecurity capabilities, including AI agent workflows, secure API integrations, vulnerability remediation solutions, playbooks, and platform services. The role develops reliable LLM-enabled security workflows, integrates enterprise security and operational platforms, and applies authentication, authorization, logging, testing, auditability, and governance controls. It partners with security, cloud, infrastructure, risk, audit, and technology teams to improve threat response, control validation, evidence collection, remediation, and operational resilience.

Designs and delivers automation-first cybersecurity capabilities, including AI-enabled agents, security workflows, API integrations, vulnerability remediation, control validation, evidence collection, and orchestration across enterprise platforms. The role develops secure, auditable, resilient solutions using Python, LLMs, cloud automation, and workflow tools; partners across security and technology teams; influences architecture and roadmaps; and mentors junior engineers in a regulated financial-services environment.

Leads the strategy, roadmap, engineering direction, adoption, reliability, security, and service performance of enterprise cloud data and database platforms. Owns Snowflake, Databricks, Microsoft Fabric, relational databases, NoSQL services, integration foundations, automation, and self-service capabilities. Partners with engineering, architecture, operations, security, risk, vendors, and internal consumers to modernize platforms, improve reliability and adoption, manage costs, meet regulatory obligations, and deliver measurable business value. Leads globally distributed technical teams and influences senior stakeholders and strategic vendors.

Lead delivery of strategic technology initiatives across cross-functional teams. Plan, track, and manage project schedules, budgets, risks, and dependencies. Coordinate stakeholders, run Agile ceremonies, review technical deliverables, and ensure compliance, release readiness, and operational support. Produce executive reporting and maintain governance and documentation.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Provides enterprise architectural leadership for data platforms, reporting, analytics, integrations, and cloud solutions. Defines target-state architectures, data models, security and governance standards, performance requirements, and operational-readiness practices. Leads Power BI and Snowflake architecture, resolves complex performance issues, establishes reusable engineering patterns, reviews designs, mentors teams, and communicates technical decisions across business and technology stakeholders.