About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

About the team and role:

We are seeking a highly experienced and strategic and visionary Enterprise Architect to join our Rubrik IT Enterprise Architecture team, focusing on the intersection of our IT Enterprise Applications, Integrations, Automations, Data, Cloud, AI, and Security with our robust Information Security policies and the Risk control frameworks. This role is critical for aligning our IT technical vision and strategy with our business goals and corporate objectives ensuring the delivery of scalable, secure, and resilient platforms for our internal IT teams and Business Operations teams. The ideal candidate will have deep expertise in enterprise architecture, integration patterns, full-stack engineering solutions, Cloud, DevOps, and cybersecurity principles. Your role will bridge the gap between business objectives and technical execution, ensuring that all architectural decisions align with our Business operations strategies and guiding principles.

What you'll do:

Strategy and Roadmap

• Business-IT Alignment: Translate the overall business strategy (goals, objectives, and priorities) into a coherent, executable IT strategy and architecture vision.
• Architectural Vision: Define and maintain the Target State Architecture (Future State) for the entire enterprise, encompassing Business, Data, Application, and Technology domains.
• Roadmapping: Develop and govern the multi-year Architectural Roadmap that guides the transition from the current-state architecture (Baseline) to the target state, prioritizing initiatives to maximize business value.
• Technology Evaluation: Conduct horizon scanning and evaluate emerging technologies (e.g., AI, Cloud services, new security platforms) to determine their potential impact and strategic fit for the business.

Governance and Standards

• Architectural Governance: Establish, enforce, and maintain Architectural Principles, Decision Trees, Standards, and Enterprise Patterns across the organization to ensure consistency, quality, and interoperability.
• Review and Assurance: Lead the Architecture Review Council (ARC) process to review and approve all major IT projects, tools and solutions, ensuring compliance with defined standards and the overall enterprise vision by meeting periodically with the identified federated domain and solution architects and/or business process owners or architects
• Risk and Compliance: Ensure all architectural designs inherently comply with regulatory requirements (e.g., GDPR, SOC 2, SOX, FedRAMP, and industry-specific standards) and address technical risks like security vulnerabilities and scalability limitations by partnering with InfoSec, Internal Audit, Legal and Privacy teams

Design and Guidance

• Blueprint Creation: Create, document, and maintain essential architectural artifacts and models (e.g., using frameworks like TOGAF or Archimate) to provide a holistic view of the enterprise.
• Complexity Reduction: Identify and drive initiatives to rationalize the existing application portfolio, reduce technical debt, and simplify the overall IT landscape to improve agility and reduce costs.
• Cross-Domain Leadership: Provide technical and strategic direction to solution architects, domain architects (Applications, Integrations, Automations, Cloud, AI, Data, Security, Infrastructure), and delivery teams on complex, cross-functional programs.

Stakeholder Management and Communication

• Stakeholder Alignment: Collaborate with senior leaders, and ITLT (IT Leadership Team) members, and business Ops leaders to articulate the value of architecture and align technology investment decisions with organizational priorities.
• Communication: Clearly articulate and present complex technical concepts, trade-offs, and architectural decisions to both technical and non-technical audiences.
• Mentorship: Mentor and coach other federated architects and technical staff on best practices, strategic thinking, and the application of architectural standards.

Experience You’ll Need:

• Experience: 15+ years in Information Technology, with at least 5 years in an Enterprise Architect or equivalent senior architectural role.
• Domain Expertise: Proven experience in designing and implementing architectures for B2B platforms, including APIs, integration patterns (e.g., EDI, message queuing, event-driven), Experienced in providing solution architecture to the GTM, G&A Finance, Legal, Customer Support business functions
• Cybersecurity Acumen: Deep understanding of core cybersecurity domains (e.g., threat modeling, network security, application security, cloud security, and data encryption).
• Technical Skills: Expertise with Integrations, Automations, GenAI, Cloud Native Architectures (e.g., AWS, Azure, GCP), microservices, Event Driven Architectures, containerization (Docker, Kubernetes), APIs, and DevOps/CI/CD pipelines.
• Frameworks: Strong knowledge of architecture frameworks such as TOGAF or the Zachman Framework.
• Certifications (Preferred): Relevant certifications such as CISSP, CISM, Certified Cloud Architect (e.g., AWS Certified Solutions Architect - Professional), or Open Group Certified Architect (TOGAF).

About Rubrik and the team

Rubrik is on a mission to secure the world’s data. With our Zero Trust Data Security™ platform, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik protects data wherever it lives—across enterprise, cloud, and SaaS—and delivers data observability, orchestration, and recovery at scale.

The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik. We're transforming global infrastructure, and we’re looking for bold thinkers and builders to join us. If you're passionate about making an impact and shaping the future of cloud and platform infrastructure—we'd love to hear from you.

About the Role

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time.
This is a high-impact, high-autonomy team where you’ll work closely with engineering, product and operations teams across Rubrik to bring AI capabilities to life.

We’re hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

Key Responsibilities

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What You Bring (Qualifications)

Required

• 9+ years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Preferred

• Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC,
  OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.

About The Team:

The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik.

Rubrik Corp IT is constructed of 100% SaaS and 0% on-premises. The IT team caters to accelerated enhancement of business value and multiple day-to-day business processes through our varied SaaS applications like Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, jitterbit, Allocadia, etc. This team also delivers high-paced business outcomes with 100% system uptime backed by agile, nimble, simple, but cohesive Cloud architectures.

About the role:

We are hiring a Senior Systems Engineer for the Infrastructure team that provides service and supports Infrastructure (Compute, network, Storage & Brik) for R&D Engineering department. The team is responsible for deploying, configuring and handling the R&D equipment within the Colo and labs. The Senior Systems Engineer will possess extensive technical knowledge, interpersonal and good communication skills to ensure projects and tasks are completed on time and meeting customer expectations.

What you'll do: 

• Design, implement and administrate VMware environments.
• Provisioning and Setting up new systems, configuring IPMI, Installing ESXi and configuring VMware clusters.
• Administer and monitor health of systems infrastructure
• You're responsible for maintaining the infrastructure that services Engineering & other departments in Rubrik. 
• Prepare & present weekly status reports of assignments/projects at weekly staff meetings
• Implement changes to the production environment as per the change management guidelines.
• Respond to outages within the SLA/OLA timelines and provide detailed post-mortem reports.
• Coordinate with various Engineering, Systems, Network & Security teams and support as appropriate.
• Being able to present projects, tasks, and workable solutions to other teams and the customer on an as needed basis.
• Evaluating supplier products and making recommendations relative to supplier products and services.
• Ensuring projects are completed within budget and removing obstacles and barriers for team members.
• Provides support for systems infrastructure problems by monitoring the team’s support queue, troubleshooting and diagnosing problems, identifying the root cause of problems, ensuring corrective action is taken following problem identification.
• Develops relationships with key business partners and customers by seeking feedback relative to their business needs, interfacing with them on a regular basis, participating in customer meetings.
• Document tasks, procedures, environments for setting up and maintaining systems.
• Analyze system faults, troubleshoot and run diagnostic tests on operating systems and hardware to detect problems.

Experience you'll need: 

•  Degree in Engineering or Computer Science or related field or equivalent experience.
•  6+ years of systems administration administration.
•  4+ years of experience supporting VMware environments.
•  Highly proficient and hands on experience in VMware, Linux technologies.

• In-depth understanding of VMware Products and troubleshooting
• General to advanced working knowledge of automation and tools
• Strong working knowledge of server hardware (rack and blade form factors).
• Ability to learn quickly and address issues as they arise during normal working hours, or when on call

• Proven documentation and communication skills 
• Self-motivated, able to work independently, and in a team environment
• Ability to work on multiple projects with various groups including Systems Engineers, Storage Engineers and Networking, etc.,
• Ability to interpret and translate Customers Requests into action items

• Familiarity and functional knowledge of Windows, Linux, DHCP, DNS, NFS, SMB, One FS, Purity FS, FC, iSCSI and some form of scripting like python or shell.
• Familiarity with Rubrik backup solution is a plus
• Experience with AIX/Linux operating systems administration is a plus
• Experience with Cloud storage solutions like AWS S3, Glacier is a plus

About the team

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations. Our job is to make Rubrik more efficient, one AI-powered workflow at a time.

This is a high-impact, high-autonomy team where you’ll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life.

About the role

We’re hiring a Staff/Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

What you’ll do

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

Experience you'll need:

• 6+ years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking, and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Preferred qualifications:

• Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.

About the team:

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time.

This is a high-impact, high-autonomy team where you’ll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life.

About the role:

As the AI Program Manager on the Enterprise AI team, you’ll be the operational backbone that keeps Rubrik’s AI initiatives moving with clarity and velocity. You’ll own the program management function across all AI workstreams — coordinating cross-functional teams, managing the portfolio of AI pilots and deployments, tracking progress against business outcomes, and ensuring leadership has full visibility into execution status. You bring structure to ambiguity and turn strategic AI goals into delivered results.

What you’ll do:

• Own AI program execution end-to-end — manage the portfolio of AI initiatives across Platform Engineering, Forward Deployed Engineering, Business Operations, and Global Support, ensuring projects move from concept to production on schedule.
• Drive cross-functional coordination — serve as the connective tissue between engineering, product, security, legal, finance, and business teams to remove blockers, align priorities, and maintain execution momentum.
• Build and maintain program infrastructure — establish project tracking, status reporting, RAID logs, and communication cadences that give leadership real-time visibility into AI program health.
• Manage stakeholder communications — prepare executive updates for SLT/ELT, run program reviews, and translate technical progress into business impact narratives.
• Support resource planning and allocation — partner with team leads to forecast capacity, manage contractor and vendor engagements, and ensure the right people are on the right workstreams.
• Facilitate AI adoption and rollout — coordinate the rollout of AI tools (Glean, Claude Code, Cowork) across the organization, including change management, training, and feedback loops.
• Track and report on business outcomes — define success metrics for AI programs, build tracking mechanisms, and ensure initiatives deliver measurable efficiency gains and ROI.
• Manage vendor and third-party relationships — coordinate with GSI partners and contractors, manage SOWs, and ensure third-party engagements align with program goals and timelines.

Experience you'll need:

• 7+ years of program or project management experience in technology organizations, with at least 2 years managing AI, ML, or data platform programs.
• Proven track record managing complex, cross-functional programs with multiple concurrent workstreams and stakeholders.
• Strong executive communication skills — able to distill complex technical programs into clear status updates, risk assessments, and decision frameworks for leadership.
• Experience with program management tools and methodologies (Jira, Asana, or similar; Agile, SAFe, or hybrid frameworks).
• Hands-on experience managing vendor and contractor relationships, including SOW management, performance tracking, and budget oversight.
• Strong analytical skills — comfortable defining KPIs, building dashboards, and using data to drive program decisions.
• Experience with change management and enterprise tool rollouts — driving adoption across diverse teams with varying levels of technical maturity.
• Collaborative, low-ego operator who thrives in fast-paced environments with ambiguity and shifting priorities.

Preferred qualifications:

• PMP, PgMP, or equivalent program management certification.
• Experience in enterprise SaaS or cybersecurity companies.
• Familiarity with AI development workflows, LLM ecosystems, and agent-based architectures.
• Experience managing FinOps or cost governance programs alongside technical delivery.
• Background in building PMO functions from scratch — establishing processes, templates, and cadences where none existed.
• Experience supporting global teams across US and India time zones.

About the team

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations. Our job is to make Rubrik more efficient, one AI-powered workflow at a time.

This is a high-impact, high-autonomy team where you’ll work closely with engineering, product, and operations teams across Rubrik to bring AI capabilities to life.

About the role

We’re hiring a Staff/Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

What you’ll do

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

Experience you'll need:

• 6+ years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking, and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Preferred qualifications:

• Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.

About the team:

The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik.

Rubrik Corp IT is constructed of 100% SaaS and 0% on-premises. The IT team caters to accelerated enhancement of business value and multiple day-to-day business processes through our varied SaaS applications like Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, jitterbit, Allocadia, etc. This team also delivers high-paced business outcomes with 100% system uptime backed by agile, nimble, simple, but cohesive Cloud architectures.

About the role:

This Staff IT Product Manager role will serve as a vital bridge, connecting Rubrik's business strategy with the technical execution of the systems and processes essential for driving the company's Sales and Marketing success.

As a Staff IT Product Manager, you will serve as the strategic architect of our Sales technology ecosystem and the primary guardian of SOX compliance for revenue-impacting systems. While your direct ownership centers on Sales and Finance integrations, you will maintain horizontal oversight across the Marketing and Web tech stacks to ensure a seamless, end-to-end lead-to-cash lifecycle.

You are a "force multiplier" who connects the dots between Sales, Renewals, Finance, Revenue Operations, and Product Org. You are expected to navigate complex technical trade-offs and influence long-term roadmaps through architectural intuition rather than task-level management.

What you'll do:

Sales Systems Ownership: Serve as the primary IT Product Manager for Sales systems, including Salesforce CRM, opportunity management, forecasting, and territory management.  Collaborate with the Sales and Renewals business Ops for functional solutions in these domains, and own the roadmap, requirements, and delivery for Sales platform initiatives.

SOX Compliance & IT Controls: Own SOX-related IT deliverables across the GTM systems portfolio, including documentation of IT general controls, support for internal and external audits, and ensuring system changes adhere to change management and access control policies. Act as the primary IT liaison for SOX audit activities.

Marketing & Web Marketing Oversight: Maintain familiarity with the Marketing and Web Marketing technology stack to provide informed oversight, escalation support, and roadmap alignment in partnership with the Marketing Sr. Product Manager. Ensure Marketing systems integrations with Sales and Finance platforms are well-governed and scalable.

Stakeholder Management and Influence: Align product roadmap and priorities with diverse stakeholders across Sales Operations, Finance, Revenue Operations, Marketing, Engineering, and Executive Leadership. Secure buy-in, manage competing priorities, and translate complex system dependencies into clear proposals and decisions.

Business Process Optimization: Identify and drive improvements across end-to-end GTM processes, including quote generation, order booking, and sales forecasting, with an eye toward reducing manual effort and improving data accuracy.

Product Delivery: Manage the full product lifecycle from discovery and requirements gathering (PRDs/User Stories) through UAT and global rollout, ensuring high-quality delivery across Sales and compliance-related initiatives.

Data-Driven Insights: Leverage data to identify trends in sales performance and system health. Proactively surface insights and recommend technical improvements that support business growth and operational efficiency.

Technical Advocacy: Collaborate with Engineering and Enterprise Architects to ensure systems are scalable, secure, and well-integrated across the broader Sales and Marketing stack. Champion sound architectural decisions that reduce technical debt and support long-term growth.

Change Management: Lead change management for major system initiatives, ensuring high adoption through clear communication, intuitive UX design, and robust enablement strategies.

Experience you'll need:

Education: Bachelor's degree in Computer Science, Business Administration, or equivalent experience.

Experience: Minimum 10 years of experience in an IT Product Manager or Business Systems Analyst role, with demonstrated expertise across Sales, Revenue Operations, or Finance systems. Broad familiarity with Marketing technology is a plus.

SOX & Compliance Knowledge: Solid understanding of SOX IT general controls, change management requirements, and audit processes as they apply to enterprise business systems.

Architectural Depth: Experience designing scalable architectures within Salesforce (including CPQ) and across multi-system GTM environments that minimize technical debt and support complex business models.

Domain Knowledge: Proven experience managing integration touchpoints across CRM and ERP platforms. Good understanding of the Sales and Renewals business operational process. General familiarity with Marketing Automation and Web Marketing tools is valued but not required at a deep level.

Data Proficiency: Ability to write SOQL/SQL queries to extract and analyze data; experience with Data Loader and ETL tools for migration and reporting projects.

Analytical Skills: Strong problem-solving abilities, including root-cause analysis, audit readiness, and data-driven decision-making across complex system environments.

Communication: Exceptional interpersonal skills with the ability to engage effectively with technical teams, Finance, Sales leadership, and executive stakeholders.

Certifications: Salesforce certifications (e.g., CPQ Specialist, Administrator) are highly preferred. SOX or audit-related certifications are a plus.

AI: Familiarity with AI-assisted development and productivity tools (e.g., Claude Code, CoWork) to accelerate delivery cycles and optimize system performance.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

About The Team: 

Come join our growing Corporate IT team to architect and scale the technology foundation that powers Dynamic Work for our employees. As a Corporate IT Architect, you will focus on designing and evolving a secure, automated, and scalable internal IT ecosystem that delivers world-class technology experiences across our workforce and workspaces.

This role centers on building resilient systems and operational maturity across Service Desk, Endpoint Engineering, Collaboration Platforms, and AV environments. You will drive proactive architectural improvements, eliminate inefficiencies, and implement automation-first strategies — all while maintaining a strong commitment to security, governance, and employee experience.

As part of a globally distributed IT organization, you will partner closely with Security, Engineering, HR, and Finance to design standards, integrations, and lifecycle management frameworks that enable scale. This position is strategic yet hands-on — ideal for someone who thrives on solving complex systems problems, using data to guide decisions, and building sustainable solutions rather than reacting to tickets.

Our goal is to ensure employees have a seamless, secure, and highly productive technology experience — by design, not by accident.

What you’ll do: 

• Define and maintain the target-state architecture for Corporate IT systems.
• Architect and mature Service Desk processes (incident, request, problem, change) with automation and self-service at the core.
• Implement AI Service Desk using LLMs and Virtual Agents for intelligent ticket routing, automated triage, and instant user resolution.
• Engineer end-to-end automation frameworks that transform manual support interventions into "self-healing" workflows 
• Design modern endpoint management strategy across macOS and Windows using Jamf and Intune
• Establish patching, compliance, and configuration baselines with measurable enforcement.
• Own architecture and governance for Google Workspace, Slack, Zoom, and conference room AV systems.
• Work with partner teams to automate onboarding/offboarding workflows across integrated systems.
• Partner with Security to implement zero-trust principles and maintain audit readiness.
• Drive API-first integrations across platforms to reduce manual intervention.
• Rationalize tooling, manage vendor strategy, and optimize spend.
• Lead escalations and provide architectural oversight for complex cross-platform issues.
• Document standards, integration patterns, and lifecycle management strategies

Experience you’ll need:

• 10+ years in Corporate IT, Endpoint Engineering, or IT Architecture roles within distributed or high-growth environments.
• Deep expertise in Jamf Pro and Microsoft Intune.
• Strong administrative and architectural experience with Google Workspace, Slack, Zoom, and SaaS ecosystems.
• Experience designing zero-touch device lifecycle management programs.
• Strong knowledge of identity and access management (Okta, Azure AD, or equivalent).
• Experience implementing ITIL-aligned service management processes.
• Demonstrated ability to design automation using scripting (Bash, Python, PowerShell) and APIs.
• Proven experience in tooling rationalization, vendor evaluation, and cost governance.
• Strong analytical and data-driven decision-making capability.
• Ability to operate independently while influencing cross-functional stakeholders.

Additional skills or certifications a plus :

• Okta
• Google Workspace Administration
• JAMF Pro Certification
• Microsoft Intune Certification
• Atlassian Suite (JIRA Service Management)
• Slack Enterprise Administration
• Zoom Rooms / AV architecture
• ITIL Certification