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Added 1 min ago
Identity Operations Engineer
UMG Recordings Inc
Nashville, TN
As a key member of the UMG Operations Center, the Identity Operations Engineer operates and continuously improves UMG’s hybrid identity, access, authentication, privileged-access, and…
Added 4 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 4 mins ago
Staff AI Engineer
Nova Biomedical
Waltham, MA
The Staff AI Engineer will serve as a senior hands-on technical leader within Nova's Data & AI function, designing, building, and operationalizing AI-enabled applications, agents, reusable…
Added 4 mins ago
Digital Workplace Experience Engineer
Nova Biomedical
Waltham, MA
The Digital Workplace Experience Engineer is a senior individual contributor responsible for engineering the workflows, platform integrations, automation patterns, and experience…
Added 4 mins ago
Software Engineer
The Home Depot
Remote, United States
Security frameworks for user and service authentication and authorization;
Added 4 mins ago
Software Engineer Principal
The Home Depot
Remote, United States
Create meaningful architecture diagrams and other documentation needed for security reviews or other interested parties.
Added 4 mins ago
Sr. Software Engineer
The Home Depot
Remote, United States
Be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers.
Added 4 mins ago
Staff Software Engineer (Platform - Access & Authorization)
Coinbase
Jefferson City, MO
Staff Software Engineer, Access & Authorization
Added 6 mins ago
MS
Lead Mainframe Hardware Engineer
MS Services Group, Inc.
Remote, United States
- $110,000 to $215,000 USD / year
…decommissioning. The candidate will also help lead resiliency, security, automation, and AI adoption efforts, partnering with engineering, operations, risk, audit, and…
Added 10 mins ago
Senior Security Engineer - Secure SDLC
Highmark Health
Jefferson City, MO
Highmark Health is seeking a Senior Security Engineer to join our Enterprise Application Security team and play a pivotal role in shaping how security is built into our software - not…
Added 14 mins ago
Senior Software Engineer - Access & Authorization (Platform)
Coinbase
Jefferson City, MO
Build secure, low-latency Go and gRPC services used across Coinbase's web, mobile, API, and partner experiences, with strong observability, failure testing, and measurable SLOs.
Added 16 mins ago
A
IT & Security Manager
Away
New York City, NY
- $130,000 to $135,000 USD / year
- You'll govern our enterprise AI platforms, including seats, access tiers, token and API security, and spend, and lead fleet-wide rollout of AI client apps with the IT Operations Engineer
Added 16 mins ago
Principal Firmware Engineer
Pelco, Inc.
Fort Collins, CO
…develop, test, and maintain software for our cutting-edge video security products. You will participate in the full software development lifecycle, from initial coding to system integration…
Added 18 mins ago
PKI Administrator
Charles Schwab
Southlake, TX
Schwab’s Security Analytics and Operations organization protects the technology and trust services that enable secure connections across the enterprise. As a Senior PKI Security Engineer,…
Added 18 mins ago
AI Portfolio Solution Architect (Sr Stf)
Lockheed Martin
Virtual Three, TX
…development environments, architecture patterns, code quality, security, testing, documentation, ownership, and release…
Added 19 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…
Added 19 mins ago
AI Systems Engineer - DevOps& Observability - Senior
EY
Jefferson 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…
Added 19 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Jefferson 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…
Added 19 mins ago
AI Systems Engineer - DevOps& Observability - Senior
EY
Saint Louis, 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…
Added 19 mins ago
AI Systems Engineer - DevOps& Observability Manager
EY
Saint Louis, 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…
Added 19 mins ago
AI Systems Engineer - DevOps& Observability - Senior
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…
Added 20 mins ago
Senior Forward Deployed Engineer
Workday, Inc.
CA · GA
…power its own agents. Every agent we help ship inherits the security model, business process controls, and audit trail of the system of record for people and money at some of the world’s…
Added 20 mins ago
Forward Deployed Engineer
Workday, Inc.
CA · GA
…power its own agents. Every agent we help ship inherits the security model, business process controls, and audit trail of the system of record for people and money at some of the world’s…
Added 20 mins ago
Principal Forward Deployed Engineer
Workday, Inc.
CA · GA
As a Principal Forward Deployed Engineer on the Developer Platform FDE team, you’ll bridge hands-on agent engineering with high-impact customer technical strategy, taking on the most…
Added 20 mins ago
Software Engineer, Senior Lead
Toyota
Plano, TX
Our team is seeking a highly motivated person to fill an opening as a Sr. Principal Engineer , to help our growing needs.

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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