Top Cyber Security Jobs in Pune

Deliver Workday HCM and Security consulting to enterprise customers through configuration guidance, troubleshooting, demonstrations, tenant reviews, feature adoption programs, office hours, and deployments. The consultant researches customer questions, recommends optimized solutions, creates presentations and deliverables, influences design decisions, maintains Workday expertise and certifications, and manages multiple engagements. The role requires strong communication, customer advisory skills, and the ability to travel up to 10%.

Manage the full customer journey for a portfolio of cloud security customers. Drive adoption, customer success plans, business outcomes, renewals, and expansion while serving as a trusted advisor. Lead executive and quarterly business reviews, manage risks and escalations, communicate product updates, and collaborate with technical, sales, and cross-functional teams. The role requires cloud security and SaaS experience, knowledge of AWS, Azure, and Google Cloud, strong communication, AI proficiency, and 30% travel.

Own the roadmap, requirements, prioritization, and launches for AI security platform areas such as cloud discovery, gateway security, agentic security, and forensics. Lead discovery with enterprise security stakeholders, translate needs into PRDs, partner with engineering and security research, define adoption and detection metrics, and support positioning and enablement. The role requires experience shipping B2B security or infrastructure products, technical fluency across cloud and AI systems, and daily use of AI-assisted workflows.

Build and maintain a React and TypeScript interface for an agentic security platform. Develop high-performance, data-intensive timelines, graphs, tables, filters, searches, dashboards, and policy management tools. Collaborate with Go backend and design teams through REST and gRPC-web APIs. Own frontend architecture, accessibility, testing, performance, design-system contributions, and AI-assisted development workflows.

Own and maintain end-user, administrator, API, deployment, integration, release, and in-product documentation for an AI security platform. Collaborate with Go engineers, product managers, Support, security researchers, and customers to document APIs, configurations, integrations, and code examples. Use docs-as-code workflows and AI tools to produce accurate content, validate technical details, maintain standards, and identify documentation gaps.

Build and operate production Go backend services for AI security products. Responsibilities include API and data model design, event-driven pipelines, cloud integrations, reliability engineering, testing, observability, CI/CD, Python tooling, and multi-tenant systems. Collaborate with AI engineers and security researchers on threat models and enforcement logic, while using AI coding assistants throughout development.

Build Go-based endpoint agents and backend services for AI and LLM security across Windows, macOS, and Linux. Responsibilities include endpoint detection, policy enforcement, fleet management, telemetry ingestion, health monitoring, performance optimization, cross-platform testing, code signing, release engineering, and production readiness. The role requires systems programming, concurrency, networking, distributed-service development, and effective use of AI-assisted coding tools.

Manage end-to-end delivery of enterprise security technology projects, including CCTV modernization, centralized monitoring, access card replacement, system migrations, testing, commissioning, and handover. Coordinate clients, stakeholders, vendors, consultants, and operational teams while managing schedules, budgets, risks, quality, compliance, procurement, and governance requirements across multiple locations.

Conduct attacker-driven security research on Aave protocol changes, smart contracts, integrations, and critical dependencies. Review architecture and code before audits or deployment, identify exploitable protocol risks, contribute to AI-assisted security tooling, and translate findings into invariants, testing, monitoring, and incident-response improvements. Collaborate with engineers, auditors, and monitoring teams while communicating risk, severity, uncertainty, and trade-offs clearly.

Build and own Agent Warden’s backend services, data pipelines, APIs, frontend dashboards, CLIs, and deployment infrastructure. Develop with Python, FastAPI, NestJS, React, and TypeScript; manage PostgreSQL, Redis, CI/CD, Kubernetes, Helm, AWS, packaging, and releases. Lead testing, performance improvements, production debugging, and collaboration with Applied Research to productionize AI security capabilities using AI-assisted development workflows.

Designs and manages IAM and IGA solutions focused on securing AI agents, MCP integrations, service accounts, applications, and other non-human identities. Responsibilities include access governance, provisioning, certifications, segregation-of-duties controls, credential-less authentication, AI-aware authorization, risk remediation, incident response, compliance reporting, and stakeholder collaboration. The role also configures IGA connectors, supports AI governance initiatives, and helps automate IAM operations.

Build and maintain security automation solutions, reusable components, playbooks, apps, and dashboards for Swimlane Turbine and its Marketplace. Translate SOC and MSSP workflows into configurable enterprise content, normalize security data using Python and JavaScript, integrate SIEM, EDR/XDR, identity, threat intelligence, ticketing, and cloud security tools, and incorporate controlled AI-assisted workflows. Own testing, documentation, versioning, release quality, and cross-functional collaboration.

The Channel Manager will drive revenue growth through strategic partnerships in India, focusing on recruiting and enabling partners in endpoint management.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.

Lead and scale strategic partner motions (channels, GSIs, ISVs, OEMs, cloud, silicon) to drive joint go-to-market plans, revenue, and market expansion. Build executive relationships, enable partners technically and commercially, establish pipeline governance, and coordinate product, sales, marketing, and engineering to convert partner potential into measurable customer impact.

The Managed Services Cross Technology Engineer (L2) provides second-line support for IT systems, resolving incidents and maintaining operational integrity across multiple technology domains.

The Managed Services Cross Technology Engineer (L2) ensures operational IT service continuity by monitoring incidents, resolving technical issues, and managing client requests across multiple technology domains.

Provides second-level managed security services support by monitoring infrastructure, investigating and resolving incidents, managing tickets and work queues, executing approved changes, and meeting SLAs. Supports L1 engineers with triage, collaborates on automation, audits ticket quality, contributes to trend analysis, and assists with project and maintenance activities. Requires strong communication, planning, adaptability, client focus, and the ability to work under pressure.

Owns the design, development, operation, and scaling of SOAR playbooks, security automation workflows, and integrations across a 24/7 MDR platform. The role automates alert triage, enrichment, investigation, containment, and incident response while improving detection quality and analyst efficiency. Responsibilities include integrating SIEM, EDR/XDR, identity, cloud, and ticketing systems; defining automation KPIs; building dashboards; ensuring workflow reliability and observability; and partnering with SOC, incident response, threat hunting, and engineering teams.

Supports sales teams and partners with technical cloud security sales activities, including solution integration, product demonstrations, evaluations, RFP responses, architecture discussions, and enablement training. Advises technical and executive audiences on Varonis cloud products, security analytics, and threat detection. Requires customer-facing communication skills, cloud platform expertise, and familiarity with SaaS administration and security technologies.

Manages Workday HRIS architecture and technical operations across reporting, security, payroll configuration, integrations, and solution design. Develops advanced reports, dashboards, calculated fields, and automation; oversees integrations, payroll interfaces, testing, issue resolution, and release impacts. Administers security controls, audits, governance, documentation, and compliance. Partners with HR, Payroll, IT, Finance, vendors, and business leaders to translate requirements into scalable global solutions while mentoring team members and driving process improvements.

Administer and support Microsoft 365 productivity platforms, resolve escalated technical issues, design permanent solutions and automations, lead projects, deliver trainings, create reports, and collaborate across teams to improve service stability.

Own application security across mobile apps, APIs, microservices, cloud infrastructure, AI products, and third-party integrations. Responsibilities include threat modeling, architecture reviews, penetration testing, secure coding, vulnerability management, incident response, SSDLC onboarding, CI/CD security tool integration, cloud hardening, developer training, and communicating risk. The role also assesses AI and LLM security risks and develops production guardrails and automation.

Lead architecture and evolution of large-scale Kubernetes-based platforms. Translate business needs into scalable HLD/LLD solutions, set cloud-native best practices, guide engineering teams, support implementation and production troubleshooting, and improve platform capabilities across CI/CD, observability, and security.

Lead design and development of scalable, secure Java enterprise applications and Spring Boot microservices. Implement REST APIs, multithreading, high-availability solutions, and Oracle PL/SQL integrations. Drive architecture, collaborate with global teams, follow Agile practices, and communicate with business stakeholders.