Senior DevOps Engineer

Senior Staff DevOps Engineer

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving customers unmatched visibility into their digital workforce and ensuring workers have the right access, no more and no less.

Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform delivers the right level of access to the right identities and resources at the right time, matching the scale, velocity, and changing needs of today's cloud-oriented enterprise. SailPoint is all-in on the AI revolution, and our engineers have access to the latest frontier models and agentic frameworks.

As a Senior Staff DevOps Engineer on the Infrastructure Platform team, you will be a technical leader responsible for designing, building, and operating SailPoint's global Identity Security Cloud infrastructure on AWS. You will partner with engineering teams across the US, India, EMEA, and APAC to deliver a resilient, secure platform.

The Infrastructure Platform Team designs and operates the foundational cloud infrastructure that powers SailPoint's Identity Security Cloud. Our platform runs on a mature, cloud-native, event-driven microservices architecture on AWS, with Kubernetes, GitOps, and Infrastructure-as-Code at the core. We also build and operate the data platform and AI/ML tooling that underpin SailPoint's identity intelligence capabilities, supporting large-scale data pipelines, model serving infrastructure, and the integrations that bring AI-driven insights into our products.

The Infrastructure Platform Team designs and operates the foundational cloud infrastructure that powers SailPoint's Identity Security Cloud. Our platform is built on a combination of microservices, data pipelines, machine learning, and AI tooling, most of which relies on Kubernetes for compute.

Engineers work closely with global peers with a follow-the-sun on-call rotation. The team owns all of SailPoint's cloud infrastructure, compute capabilities, and operational practices for a mission critical, 24x7 SaaS environment serving large enterprises worldwide. We focus on security, modern practices, and managing web platforms that serve millions of concurrent requests.

Key Responsibilities

• Collaborate with engineers across teams on service mesh architecture, troubleshooting at scale, performance tuning, and capacity planning for mesh-heavy environments.
• Design, operate, and optimize production Kubernetes clusters at scale on AWS (EKS), including cluster architecture, upgrades, node management, networking, storage, and multi-tenant isolation patterns.
• Define and drive Kubernetes standards and best practices across teams, including workload design, resource management, security hardening (RBAC, Pod Security Standards, network policies), Helm/chart conventions, and deployment patterns.
• Design and scale infrastructure to meet rapidly increasing customer demand, data sovereignty requirements, and regional expansion.
• Automate deployment, monitoring, incident response, and capacity management using GitOps and CI/CD best practices.
• Develop and improve operational practices, runbooks, and platform engineering standards.
• Collaborate with development teams to bring new features and services into production safely and efficiently.
• Proactively meet information security and compliance standards (e.g., PCI DSS), including supporting SailPoint's PCI compliance initiative through secure platform design, controls implementation, and audit readiness.
• Participate in and help improve the on-call rotation; drive post-incident reviews and systemic fixes.

Background and Experience

Required

• Strong interpersonal and teaming skills, with the ability to set and enforce process and influence engineers across teams and geographies.
• Ability to operate effectively in an agile, entrepreneurial environment with global stakeholders.
• 4+ years of hands-on experience designing, implementing, and operating a service mesh at scale in production Kubernetes environments.
• 7+ years of experience in 24x7 production operations, supporting highly available SaaS or cloud service environments.
• 7+ years of experience with containerization, virtualization, and configuration management technologies.
• 4+ years of hands-on experience with Kubernetes in production at scale.
• 4+ years of experience with Terraform (IaC), managing infrastructure across multiple AWS accounts and regions.
• 4+ years of experience designing and implementing CI/CD pipelines, especially for Terraform, Kubernetes, and microservices.
• 4+ years of experience with scripting/programming languages (Python, Go, or similar) and strong shell scripting proficiency.
• Strong understanding of Linux, networking, distributed systems, and production troubleshooting.

• Demonstrated experience scaling a service mesh across a large microservices fleet, including phased adoption strategy, sidecar resource management, control plane scaling, and performance tuning under high request volume.

• Experience with monitoring and logging stacks (e.g., Prometheus, Grafana, OpenSearch or equivalent).

Preferred

• Experience with multi-cluster or multi-region service mesh federation (e.g., Istio multi-cluster, Linkerd multicluster extension) in production.
• Familiarity with compliance frameworks in regulated enterprise SaaS, including PCI DSS and FedRAMP-adjacent practices, with experience implementing or operating platforms subject to PCI compliance requirements preferred.

What Success Looks Like

First 30 Days

• Onboard into the role; learn Identity Security Cloud architecture, platform tooling, and team processes.
• Build relationships with peers and stakeholders across the US and global DevOps/SRE teams.
• Begin scoping and designing the enterprise-scale service mesh rollout strategy. Join team ceremonies, contribute to in-flight projects, and begin participating in on-call shadowing.

First 60 Days

• Join the on-call rotation; become proficient in core services, escalation paths, and runbooks.

First 90 Days

• Own significant platform initiatives and contribute to architecture decisions and operational improvements.
• Deliver a prioritized service mesh scale and maturity roadmap, covering observability gaps, security policy coverage, and onboarding backlog.
• Join the on-call rotation; become proficient in core services, escalation paths, and runbooks.

First 6 Months

• Become a recognized SME on platform services and independently handle complex production escalations.
• Influence roadmap and engineering practices across the broader Infrastructure organization.

First 12 Months

• Establish durable standards, guardrails, and documentation adopted by multiple teams.
• Demonstrate sustained impact on uptime, deployment success rate, cost efficiency, or engineering productivity.

Work Model

This is a fully remote position for candidates based in the USA or Canada. Candidates must be eligible to work in the United States or Canada and be available for collaboration with global teams across US, EMEA, and APAC time zones. Participation in an on-call rotation is required.

We anticipate approximately 10% travel, with flexibility to travel to our headquarters in Austin, TX as needed for leadership meetings, architectural planning sessions, and cross-functional team discussions.

Education

Bachelor's and/or Master's degree in Computer Science or equivalent technical experience.

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.

As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint's differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-max, USD):

$101,000 - $170,274.00

Base salaries for employees based in other locations are competitive for the employee's home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (ADD