Senior Infrastructure Engineer

Cognistack client seeking Senior Infrastructure Engineer to join Full-time (Remote) 

• Must be a US citizen due to government client requirements.

Location: United States Salary: $190K‑$230K + competitive equity Tech stack: AWS, GCP, Terraform, Kubernetes, GKE, EKS, Airflow, BigQuery, Docker, CI/CD, Linux, CentOS, Alpine, Python, Monitoring/Alerting Tools What we're looking for:We need someone with 5+ years of experience in cloud infrastructure and platform engineering who has hands-on expertise with GCP and/or AWS, production Kubernetes (GKE/EKS), and Terraform. You should have deep experience with networking, databases, and reliability engineering (SLOs/SLIs, monitoring, on-call). This is a build-phase role — we're migrating workloads onto our own Kubernetes platform, standing up new production regions, and building self-service tooling. We need someone who thrives in greenfield environments with high ownership, not someone looking to keep the lights on.

What you'll do:

• Own core cloud infrastructure that every team at TRM builds on top of — Kubernetes, networking, databases, orchestration, and CI/CD pipelines

• Migrate workloads onto our own Kubernetes platform and stand up new production regions (EU, government sites)

• Build self-service tooling and increase automation across the platform

• Define and maintain SLOs/SLIs, implement monitoring and alerting, manage runbooks, and participate in on-call rotation

• Harden compliance (SOC2, FedRAMP) and improve cost efficiency of our cloud bill

• Operate at real scale — hundreds of nodes, high QPS, production customer-facing systems

• Work with product and engineering leadership to set strategy and priorities for the Infrastructure team

Seniority5+ years of experience in cloud infrastructure engineering (AWS/GCP) Work experience

• Database provisioning and operations — managed and self-​hosted,​ ideally on Kubernetes

• Defined SLOs/SLIs,​ built monitoring and alerting,​ maintained runbooks,​ participated in on-​call rotations

• Built and maintained CI/CD pipelines shipping code to production

• Operated infrastructure at scale — hundreds of nodes,​ high QPS,​ production customer-​facing systems

EducationBS in Computer Science or closely related field (firm requirement) Hard skills

• Terraform or equivalent IaC tooling

• Networking depth (VPCs,​ subnetting,​ peering,​ load balancers)

• Linux systems administration (CentOS,​ Alpine)

• Docker,​ GitOps,​ ArgoCD,​ Helm

• Python scripting

• Grafana,​ GroundCover,​ or HashiCorp Vault

Miscellaneous

• Must be a US citizen due to government client requirements.

Company Overview

• Company is a GCP-based organization with AWS components for government clients.

• Focus on making the platform reliable, scalable, secure, and cost-efficient.

Role Requirements

• Role involves managing Kubernetes-based infrastructure, networking, databases, and CI/CD pipelines.

• Core technologies include GCP, GKE, AWS, EKS, Docker, GitOps, Argo CD, Helm, Terraform, Grafana, and Hashicorp Vault.

Candidate Requirements

• Looking for experience running databases on Kubernetes with high queries per second.

• Must have experience with defining SLOs, SLIs, and on-call rotations.

• Preferred candidates with a computer science background, ideally with startup experience.

• Emphasis on candidates with quantitative metrics in their work history.

Not looking:

• We are not looking Pure data engineering / ETL-​only background without broad infra depth

• Only big-​company experience with no startup or high-​ownership environment exposure

• Generalist doing too many things (full stack + security + AI) without infra/SRE depth

Pain Points

• Team is focused on increasing efficiency and hardening compliance (SOC2, FedRamp).

• Need engineers who can contribute to greenfield projects and major infrastructure build-outs.

Compensation and Logistics

• Must be a US citizen due to government client requirements.

• No specific mention of salary range or work arrangement.

Timeline and Urgency

• Pipeline is early, with only two candidates currently in process.

• Emphasis on quickly building a healthy top of funnel and refining the pipeline.