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Added 2 mins ago
Senior Software Engineer - Kubernetes platform
Cloudflare
Austin, TX · Denver, CO · NY · San Francisco, CA · Washington, DC
As an engineer on the Kubernetes platform team, you'll be building the tools to help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a…
Added 2 mins ago
UG
Senior Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Software Engineer on the OCPN Cloud Platform Team, you will drive the architecture, technical design, development, delivery, and operationalization of cloud-native, resilient,…
Added 3 mins ago
AT
Senior II Site Reliability Engineer - Network
Akamai Technologies, Inc.
Jefferson City, MO
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer - Network, you will be responsible for:
Added 4 mins ago
BA
Platform DevOps Engineer
Booz Allen Hamilton
Colorado Springs, CO
- $61,900 to $141,000 USD / year
…and delivery consistently and continuously. As a DevSecOps engineer at Booz Allen, you'll use the latest architectural approaches and open-source frameworks and resources to overcome your…
Added 7 mins ago
Data Asset Model Senior Engineer
Mars Corporate
United States
…organizational change, we are seeking a FinTech Data Asset Model Senior Engineer to strengthen our capabilities in Azure Data Lake technologies within the FinTech Data Lake…
Added 8 mins ago
Senior AI Engineer
Suffolk Construction Company, Inc
Boston, MA
Added 9 mins ago
SI
Senior Fullstack Engineer (Front End)
SendCutSend Inc
Reno, NV
- $140,000 to $190,000 USD / year
As a Senior Software Engineer, you are a hands-on builder focused on improving and scaling our platform. You create intuitive tools that help customers turn their designs into manufactured…
Added 10 mins ago
O
Forward Deployed Engineer (FDE), Cyber - SF
OpenAI
San Francisco, CA
- $185,000 to $300,000 USD / year
- Experience protecting production systems through work in security engineering, infrastructure, SRE, DevOps, or product engineering.
Added 10 mins ago
O
Forward Deployed Engineer (FDE), Cyber - NYC
OpenAI
New York, NY · San Francisco, CA
- $185,000 to $300,000 USD / year
- Experience protecting production systems through work in security engineering, infrastructure, SRE, DevOps, or product engineering.
Added 11 mins ago
C
AWS Cloud Architect - Networking & Observability
Cognizant
Jefferson City, MO
- $79,240 to $130,000 USD / year
+ Engineer highly available NAT Gateway and egress routing architectures.
Added 15 mins ago
NB
Staff DevOps Engineer
Nova Biomedical
Waltham, MA
- $125,000 to $170,000 USD / year
The Staff DevOps Engineer provides senior-level technical leadership for cloud infrastructure, deployment automation, DevSecOps practices, and software delivery systems supporting regulated…
Added 15 mins ago
CC
Staff Site Reliability Engineer
Carrier Corporation
Remote, United States
- $96,000 to $192,000 USD / year
Carrier's Building Automation Systems (BAS) Cloud organization is seeking a highly skilled Senior Site Reliability Engineer (SRE) to help build, scale, and continuously improve our…
Added 19 mins ago
DL
DevOps Engineer
DANE LLC
Washington, DC
- $140,000 to $150,000 USD / year
We are seeking an experienced DevOps Engineer to support our mission in the design, build, and maintenance of mission-critical enterprise applications. You will install, configure, monitor,…
Added 20 mins ago
Software Test and Automation Engineer
Edwards Lifesciences LLC
CA
Manage software defects and software test artifacts in Azure DevOps (ADO); partner with developers to reproduce, root-cause, and confirm fixes.
Added 22 mins ago
Principal Engineer - Database Platform Engineering & SRE
Lumen
Jefferson City, MO
The Principal Engineer is a senior technical leader responsible for driving the transformation of Lumen's database organization from a traditional operations-focused model to a modern…
Added 23 mins ago
SO
Lead Software Engineer
System One
Reston, VA
- $88 USD / hour
The engineer will work alongside Platform Engineering and DevOps teams but will focus on application-level development, configurations, integrations, and modernization activities.
Added 24 mins ago
Platform Engineer
Highmark Health
Jefferson City, MO
The Platform Engineer designs, implements, administers, and supports enterprise cloud platforms, integrations, databases, and application services. This role combines platform engineering,…
Added 24 mins ago
Software Systems Quality Engineer (Compliance) in AZ
RTX
United States
We have an immediate need for an onsite Software Systems Quality Engineer I (Compliance) to support Land & Air Defense Systems (LADS) in Tucson, AZ. LADS programs include Global Patriot,…
Added 24 mins ago
Software Systems Quality Engineer II - Huntsville, AL
RTX
United States
Our team in Huntsville, AL, has an immediate need for an onsite Software Systems Quality Engineer II to support Land & Air Defense Systems (LADS). LADS includes Global Patriot, Ghost-Eye /…
Added 24 mins ago
Software Systems Quality Engineer (Compliance)
RTX
United States
We have an immediate need for an onsite Software Systems Quality Engineer (Compliance) to support Land & Air Defense Systems (LADS).
Added 29 mins ago
PKI Administrator
Charles Schwab
Southlake, TX
…connections across the enterprise. As a Senior PKI Security Engineer, you will help modernize Schwab’s Public Key Infrastructure platform and strengthen the provisioning, renewal,…
Added 29 mins ago
Cloud Associate
Rooms To Go Corporate
Seffner, FL
…infrastructure, and robust monitoring systems. In addition, the Engineer will be responsible for supporting and deploying could services including Infrastructure as a Service (IaaS),…
Added 29 mins ago
DevOps Engineer (Hybrid) - 31023
Huntington Ingalls Industries
Lackland AFB, TX
Seeking a highly motivated and experienced DevOps Engineer to join our fast-paced team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration,…
Added 30 mins ago
DevOps Engineer - $20K Sign On Bonus - 31021
Huntington Ingalls Industries
Lackland AFB, TX
Seeking a highly motivated and experienced DevOps Engineer to join our fast-paced team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration,…
Added 30 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Kansas City, MO
We are seeking an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY's AI-native platform. These are the systems that ship, run, and make fully…

AI Systems Engineer - DevOps& Observability Manager

Kansas City, MO, United States

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Job details

Posting language: English

Original job description

Summary

Location: Anywhere in Country

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We are seeking an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of EY's AI-native platform. These are the systems that ship, run, and make fully visible every AI workload. Within the Hybrid AI Multi-Environment Runtime (HAI), this role owns how AI services and agents are built and deployed, how models execute, how requests are routed to them, how AI assets are catalogued and governed, how consumption is measured and bounded, and how the entire platform is observed across cloud, on-prem, edge, and air-gapped environments.

This is a distinct discipline from platform, data, and trust engineering. Where Platform Engineering owns the cluster substrate and its infrastructure automation, this role owns the delivery and runtime surface, including the CI/CD/CV pipelines that ship AI workloads, secure model execution, semantic routing, and model/prompt selection, together with the governance, discovery, cost, and telemetry systems that keep AI workloads shippable, economical, discoverable, and transparent. It sits at the intersection of DevOps, MLOps, FinOps, and observability.

This role is ideal for an engineer who is equally comfortable building automated delivery pipelines, operating high-performance inference (GPUs, model servers, sandboxed execution), and building deep observability and cost visibility; who understands that in regulated contexts every AI workload must be delivered repeatably and every AI request must be economically bounded, attributable, and traceable end-to-end.

Your key responsibilities

+ Own DevOps and delivery for AI workloads: build and operate the CI/CD/CV pipelines that ship AI services, agents, and runtime components, including automated build, test, continuous verification, release, and rollback, so AI workloads are delivered repeatably and safely into every environment.

+ Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage contracts (OpenLineage), and license management.

+ Own resource and cost management, including quotas and rate limits, cost attribution and utilization (Apptio/OpenCost/Kubecost), so AI execution stays economically bounded and controllable per tenant and engagement.

+ Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.

+ Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching, and dynamic filtering, so every signal is captured and routed reliably.

+ Automate GitOps-based delivery and continuous verification; embedding quality, integrity, and cost gates into pipelines so releases are policy-compliant by default rather than by manual review.

+ Close the loop between delivery and observability by using telemetry, evaluation, and cost signals to drive deployment decisions, progressive rollout, and automated rollback of AI workloads.

+ Ensure cost and telemetry are identity-stamped and per-tenant, so consumption and behavior are attributable end-to-end, keeping FinOps and observability tied to the workloads that generate the load.

Skills and attributes for success

+ Strong DevOps expertise: CI/CD/CV pipeline design, GitOps, continuous verification, and progressive/automated release and rollback for production workloads.

+ Deep expertise operating model-serving and inference systems (Ray, vLLM/Triton/NIM) on GPUs at production scale.

+ Deep observability skills: metrics, logs, traces, and OpenTelemetry.

+ FinOps mindset: able to attribute, bound, and optimize AI consumption cost per tenant and workload.

+ Familiarity with model/artifact governance, registries, CVE scanning, and license/lineage tracking.

+ Comfortable operating across cloud, on-prem, edge, and air-gapped environments with consistent runtime and telemetry semantics.

+ Strong communicator able to explain runtime, cost, and observability tradeoffs to engineers, architects, and leadership.

To qualify you must have

+ Bachelor's or Master's degree in Computer Science or related technical field.

+ 8+ years in DevOps, MLOps, platform, or observability engineering, with hands-on production ownership of AI or high-throughput services.

+ Strong hands-on DevOps experience, including CI/CD/CV pipelines and GitOps tooling (ArgoCD, Helm, GitHub Actions/GitLab CI, or equivalents) for automated build, test, release, and rollback.

+ Hands-on expertise operating inference/model-serving frameworks (Ray Serve, vLLM, Triton, or NIM) on GPU infrastructure.

+ Strong experience with observability stacks (Prometheus, Grafana, Loki, Tempo/Jaeger) and OpenTelemetry.

+ Experience with API gateways and request routing (Envoy or equivalent), including streaming responses.

+ Experience with cost management / FinOps tooling (OpenCost, Kubecost, or equivalent) and quota/rate-limit enforcement.

+ Familiarity with model/artifact registries and supply-chain scanning (Harbor, MLflow, Trivy/SBOM).

+ Proven track record operating AI or service infrastructure under compliance, security, or regulatory constraints.

+ Ability to define clean ownership boundaries and consumption contracts with platform, trust, and data teams.

Ideally, you'll also have

+ Experience with LLM evaluation and debugging tooling (LangSmith, Langfuse) and prompt/response quality measurement.

+ Experience with sandboxed/secure execution (gVisor, Firecracker, or microVM isolation) for untrusted or multi-tenant workloads.

+ Familiarity with GPU telemetry (DCGM) and GPU utilization optimization.

+ Experience with lineage and governance contracts (OpenLineage) and AI license management.

+ Exposure to multi-tenant cost attribution and per-tenant SLA/alerting.

+ Exposure to regulated delivery environments (financial services, tax, healthcare, risk).

What we offer you

At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. ...

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Skills

CI/CD
Mlflow
Hugging Face
Cost management
Prometheus
Grafana
Debugging
Apache Kafka
Leadership
Computer science
DevOps
GitHub
GitLab
Supply chain management
Regulatory compliance

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