We are seeking a
Senior Cloud Infrastructure Engineer to join our Engineering team. This role is central to building, operating, and scaling the cloud infrastructure that powers our platform, and to making our software easy to deploy both in our cloud-hosted environments and in customer-managed environments.
This engineer will work closely with platform and product engineering to improve the reliability, automation, and operational maturity of our AWS and Kubernetes environments. Some of our environments serve regulated, security-sensitive customers; while deep security specialization is not required, this engineer should be comfortable operating within an established, security-conscious baseline.
The ideal candidate combines strong hands-on infrastructure expertise with a practical, execution-focused mindset and a bias toward automation.
Core Responsibilities- Design, implement, and maintain scalable, reliable infrastructure in AWS
- Operate and improve Kubernetes-based environments, including production workloads
- Build and maintain infrastructure as code using Terraform
- Improve CI/CD pipelines, deployment workflows, and release automation in partnership with engineering teams
- Build and maintain the packaging and reference architectures customers use to install our software in their own environments
- Strengthen observability across the platform, including monitoring, logging, alerting, and actionable dashboards
- Improve developer experience through tooling, environment automation, and self-service infrastructure
- Operate within and preserve the established security and compliance posture of our environments
- Monitor, troubleshoot, and resolve complex infrastructure issues with clear and timely communication
- Participate in incident response and post-incident analysis
- Develop and maintain documentation, runbooks, and technical standards
- Identify opportunities to improve cost efficiency, performance, and resilience across environments
Required Qualifications- Minimum of 5 years of experience in DevOps, Infrastructure Engineering, Platform Engineering, or Site Reliability Engineering
- Strong hands-on experience with AWS in production environments
- Proven experience operating Kubernetes in production
- Strong experience with Terraform and infrastructure-as-code practices
- Proven experience building or improving CI/CD pipelines and deployment automation
- Solid understanding of cloud networking, IAM, secrets management, and operational controls
- Experience with monitoring, logging, and observability tooling
- Scripting proficiency in Python, Go, Bash, or similar
- Excellent troubleshooting and problem-solving skills in complex production environments
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
- Must live/work in the U.S.
Preferred Qualifications- Experience operating stateful workloads on Kubernetes, such as databases or message queues, including persistent storage and backup/recovery
- Experience with GitOps-based deployment workflows
- Experience packaging software for customer-managed or self-hosted deployment (e.g., Helm charts)
- Familiarity with compliance or security frameworks such as FedRAMP, NIST, SOC 2, or similar
- Experience with PostgreSQL, cloud storage platforms, and production networking patterns
- Experience with configuration management tools such as Ansible
- Experience with additional cloud platforms such as Azure or Google Cloud Platform
- Experience with service mesh or advanced Kubernetes networking
- Experience supporting customer-facing or mission-critical production infrastructure
- Top Secret Security Clearance
$135,000 - $220,000 a year
The anticipated compensation range for this position may vary based on experience, skills, qualifications, location, and business needs. In addition to base salary, this role may be eligible for bonuses, equity, and a comprehensive benefits package.
About Istari DigitalIstari is a digital engineering software company building open, scalable infrastructure for engineering data. Our platform lets customers simply and securely integrate engineering models across disciplines, organizations, and security levels - whether they're designing prototypes, performing virtual testing, or training AI and autonomy for complex systems.
Focus is rewarded. Finish is remembered.
Facts are friendly. Even when they are not fun.
Fellowship is fundamental. Make others successful.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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