Summary
✨ AI‑Generated
Join a new Platform Engineering team at a major global professional-services organization undergoing a large-scale technology transformation. You will build internal developer platforms, self-service tooling, CI/CD, infrastructure-as-code, cloud automation, and observability for both traditional applications and modern AI workloads. This is a hybrid role with a stated annual compensation of $140,000–$180,000 plus bonus and benefits.
Highlights
Opportunity to join a newly forming platform engineering function with significant influence over developer platforms, cloud infrastructure, automation, observability, and AI infrastructure. Compensation includes bonus and benefits.
Description
Platform Engineer is required to join a new Platform Engineering team as part of a major technology and AI platform transformation at one of the largest and most prestigious U.S.
and global law firms.
You’ll help build the internal developer platform, self-service tooling, CI/CD, infrastructure-as-code, cloud automation, and observability capabilities that will support both traditional applications and modern AI workloads.
This is an opportunity to join a new platform engineering function at the start of a major technology transformation, with real scope to influence how platform engineering, cloud, developer experience, and AI infrastructure are built across a global organization.
Washington, D.C.
hybrid role / 1/2 day per week in the office.
Compensation: $140,000–$180,000 annually + Bonus + Benefits.
Applicants must be eligible to work without sponsorship; H-1 B cannot be supported.
Key skills required for the Platform Engineer
5+ years in Platform Engineering, DevOps, SRE, infrastructure, or software engineering.Strong production coding skills in Go and Python, plus Bash and/or PowerShell.Strong hands-on CI/CD and pipeline-building experience with YAML, plus Azure DevOps, GitLab CI, or Jenkins.Strong Infrastructure as Code experience with Terraform, plus Helm, Ansible, or similar.Hands-on experience with AWS and/or Azure, Kubernetes, and Docker.Exposure to AI / GenAI infrastructure, including retrieval/RAG, model gateways, evaluation frameworks, or agent-based systems, is highly advantageous.Experience with GitOps, ideally Argo CD or Flux.Familiarity with observability tooling such as Prometheus, Grafana, Datadog, Splunk, ELK, or OpenTelemetry.Understanding of platform security, secrets management, policy-as-code, and SRE practices.
What you’ll do as a Platform Engineer
Build reusable self-service tooling, APIs, CLIs, libraries, and platform services.Develop and maintain CI/CD pipelines and automated quality gates.Build modular cloud and Kubernetes infrastructure using Terraform and Helm.Support workloads across AWS, Azure, Kubernetes, and GitOps environments.Help build platform services for AI workloads including model inference, retrieval, orchestration, and evaluation.Implement monitoring, tracing, logging, and alerting across traditional and GenAI services.Participate in incident response and contribute to continuous reliability improvements.Automate security, operational, and developer workflows.
You’ll work with technologies including Go, Python, Terraform, Kubernetes, AWS, Azure, GitHub Actions, GitOps, OpenTelemetry, and GenAI platforms, while gaining increasing end-to-end ownership as the team grows.
Locations: Washington, D.C., hybrid with good flexibility to work from home
📩 Apply now or message us for more details.
Referrals always welcome!
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