AI Site Reliability Engineer

The posting, as Seekr wrote it

We're looking for an AI Site Reliability Engineer to ensure the reliability, scalability, and safe operation of Seekr's AI-powered services and supporting infrastructure. You will combine software engineering and site reliability practices with AI/ML operational expertise to improve how models, APIs, data pipelines, and platform services are deployed, monitored, and operated in production. You will partner closely with AI/ML, Platform, Security, and Product teams to build dependable systems that are performant, resilient, and ready to scale.

The Impact
You will help define how Seekr operates mission-critical AI systems in production. Your work will make releases safer, incidents less frequent and easier to resolve, and service health more visible and measurable. By establishing meaningful SLOs, strengthening observability, improving resilience, and reducing operational toil, you will directly improve the experience of our customers and engineering teams.

Duties and Responsibilities

• Build safe release processes using CI/CD automation, progressive deployments, automated validation, rollback mechanisms, and deployment health metrics.
• Define and operate SLIs/SLOs for AI APIs and critical services, covering availability, latency, errors, throughput, model quality, output safety, user-facing correctness, and cost.
• Develop actionable observability through metrics, logs, traces, dashboards, and SLO-based alerts.
• Participate in a sustainable on-call rotation; lead incident response, improve runbooks, and facilitate blameless postmortems.
• Reduce operational toil and improve resilience through infrastructure as code, automation, and disaster-recovery planning.
• Design automated load, stress, spike, soak, and scalability tests that model realistic AI production traffic.
• Establish performance baselines, release thresholds, and capacity forecasts for latency, throughput, concurrency, resource utilization, and cost per inference.
• Validate autoscaling, rate limiting, backpressure, graceful degradation, and recovery from infrastructure and dependency failures.
• Design and scale GPU-backed model inference on Kubernetes using replicas, autoscaling, batching, caching, and load balancing to meet SLAs/SLOs.
• Optimize and troubleshoot inference engines and infrastructure across models, Kubernetes, compute, networking, storage, GPU memory, and cost.
• Support reliable training workloads, including distributed training, scheduling, checkpointing, observability, and failure recovery.
• Partner with AI/ML, Platform, Security, and Product teams to establish production-readiness standards.

Qualifications and Skills Required

• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, production infrastructure engineering, or a similar role.
• Strong knowledge of distributed systems, cloud infrastructu

[…]
ur customers' success is what we strive for every day.

• We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
• We take our responsibility to deliver secure AI seriously.
• We believe innovation drives progress—we are building the technologies that power the systems our society depends on.

Company Benefits

• Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.

Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth.

• Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge.

Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX.

Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role.

• 401(k) with Company Match – Build your future with a retirement plan that includes employer matching.
• Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family.

Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

Important Notice

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.