Build, Deploy, and Maintain AI for an Unpredictable WorldStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The RoleAs a Senior DevOps Engineer at Striveworks, you will be challenged—and trusted—on day one to take ownership of specific product deployments by maintaining, optimizing, and enhancing our on-premises and cloud computing environments. You will play a crucial role in the successful deployment of our software solutions to clients. You will be responsible for executing technical aspects of implementation projects and for ensuring the seamless integration, customization, and configuration of our software. Your expertise will play a critical role for the company as we deploy new instances of Striveworks’ AI operations (AIOps) capabilities to customer infrastructure. You are right for this opportunity if you value and possess technical expertise and you enjoy pushing the boundaries of your capabilities. You will be responsible for maintaining Striveworks’ software deployments using Infrastructure-as-Code (IaC) methodologies. Your day-to-day will include: - Automating IaC to manage virtual machines and deploy containers, services, and other infrastructure; leaning on expertise to deploy custom Kubernetes clusters in AWS, Azure, GCP, on-premises, or hybrid cloud environments - Working with platform developers, other DevOps teammates, and customer-facing teams to define requirements and build solutions for customer use cases of the platform - Software deployments to commercial and, later, unclassified, CUI, and classified Department of Defense (DOD) networks - Incident response and initial triage of critical system faults The Senior DevOps Engineer works on the DevOps team. You will be responsible for monitoring, automating, and improving software reliability, performance, and availability for various projects. You will also act as a liaison between platform developers and customer-facing teams, taking on operational tasks to ensure the efficient functioning of Striveworks’ solutions. You will work alongside a team of software engineers and data scientists to help them deploy and operate their work as functional products, learning from them so that building effective AI solutions becomes second nature. You may provide guidance and leadership to junior DevOps team members. You will directly contribute to the success of mission-critical systems within national security and commercial clients. You will be expected to wear multiple hats and to step into vacuums where improvements are needed, and you will be given the breadth to explore new technologies and solutions. This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time. The Right FitIn addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: - 6+ years of direct, hands-on experience in: - Python and/or Golang programming, or other general purpose programming languages - Microservice deployment in Kubernetes - Diagnosing and resolving issues within containerized environments - Helm Chart and Kustomizations development/deployment - Automation and IaC (e.g., Terraform, Ansible) - Cloud infrastructure (e.g., AWS, Azure, GCP, or OpenStack) - Managing and troubleshooting Linux systems (e.g., RHEL, Ubuntu, CentOS) - The ability to work cross functionally to define requirements and build solutions for customer use cases of the platform - The ability to respond professionally and competently to incident reports and triage critical system faults - Active Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship The Wish ListWe are very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: - Experience with US federal information system security policies, including Security Technical Implementation Guides (STIGs), NIST 800-171, NIST 800-53, CMMC, and ICD 503 - Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD - Experience with DevSecOps/DevOps and CI/CD for the administration and deployment of GPU-enabled servers - Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects - Experience with network-attached storage (NAS) and storage area network (SAN) technologies - Experience with Kubernetes and cloud-native applications and services in denied, disrupted, intermittent, and limited impact (DDIL) environments The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits - Medical/dental/vision insurance - Voluntary life, long-term disability, accident, and hospital indemnity insurance - HSA and FSA (including dependent care FSA) plans - 401(k) plan - Unlimited PTO - Paid parental leave Check us out on Built In! Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

• Allocate approximately 70% of time to hands-on engineering tasks, such as developing new deployments, tooling, and automation scripts to address client needs • Dedicate around 30% of time to leadership duties, including mentoring engineers, ensuring quality deliverables, and managing escalations • Act as the primary escalation contact for complex technical issues, resolving them promptly to maintain high levels of client satisfaction • Monitor and uphold quality standards for engineering work, confirming alignment with internal protocols, compliance regulations, and project milestones • Identify and mitigate risks in partnership with consulting and solutions architecture teams, ensuring regulatory requirements and client expectations are fully addressed • Coordinate day-to-day engineering activities, tracking progress and adjusting resources to meet project goals on schedule utilizing Agile practice methodologies • Help create and implement solutions that improve the practice

• Define and execute the long-term strategic vision for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs. • Lead the design and implementation of self-service internal platforms to reduce developer cognitive load, enabling feature teams to deploy and manage services with minimal friction at increased velocity. • Act as the primary stakeholder for cloud spend (AWS); drive cost-optimization initiatives and lead contract negotiations for the DevOps toolstack and third-party vendors. • Ensure the infrastructure architecture supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols, maintaining system integrity across multiple regions. • Oversee the implementation and evolution of comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance. • Champion security by design by integrating automated vulnerability scanning, secret management, and compliance checks directly into the automated build pipelines. • Serve as the ultimate escalation point for major production outages, facilitating blameless post-mortem reviews that focus on systemic improvements rather than individual error. • Maintain deep technical currency in container orchestration (Kubernetes), serverless patterns, and modern automation frameworks to provide meaningful mentorship and architectural guidance to senior engineering staff.

• As a Senior Data DevOps Engineer you will be the backbone of cloud operations, ensuring our infrastructure is scalable, secure, and developer-friendly. • Infrastructure as Code (IaC): Provision, manage, and scale cloud infrastructure on **AWS** using **Terraform** and **Terragrunt**, maintaining high standards for modularity and reusability. • Kubernetes Orchestration: Lead the administration of **EKS clusters**, overseeing version upgrades, implementing efficient autoscaling strategies, and enforcing robust security policies. • CI/CD & Automation: Design and manage robust CI/CD pipelines to streamline deployments across multiple microservices, ensuring fast and reliable delivery cycles. • Cloud Ecosystem Management: Configure and optimize essential cloud services, including **Aurora (PostgreSQL)**, **SQS**, **S3 storage**, and secure **Secrets Management**. • MLOps Support: Collaborate with Data Science teams to support the deployment and scaling of **Machine Learning models** within the AWS environment. • Performance & Support: Act as a technical escalation point for development teams, providing expert troubleshooting, performance tuning, and architectural guidance.