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Added 9 mins ago
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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 10 mins ago
Tech Consultant - Infrastructure Patch & Unix Engineer
NTT DATA Americas, Inc.
Jacksonville
We are seeking a skilled Unix Engineer with experience supporting enterprise-scale Unix/Linux environments. This role will be responsible for designing, testing, validating, and deploying…
Added 10 mins ago
Unix Engineer - Infrastructure Patch
NTT DATA Americas, Inc.
Jacksonville
We are seeking a skilled Unix Engineer with experience supporting enterprise-scale Unix/Linux environments. This role will be responsible for designing, testing, validating, and deploying…
Added 15 mins ago
RTL Engineer – Physical AI Solutions
Altera
San Jose, CA
…intelligent robotics, autonomous systems, machine vision, industrial automation, and real-time AI…
Added 23 mins ago
Applications Development Sr Programmer Analyst
Citibank, N.A.
United States
We are seeking a highly motivated and experienced Senior Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an…
Added 23 mins ago
Applications Support Sr Analyst
Citibank, N.A.
United States
The Observability Engineer will support the organization's observability transformation initiatives by helping onboard applications to modern observability platforms and OpenTelemetry…
Added 29 mins ago
Generative AI Software Engineer
Koniag Government Services
Washington, DC
…on a large-scale Army contracting systems modernization and automation program. Builds secure generative AI services and workflow integrations under approved architecture and Responsible AI…
Added 29 mins ago
Software Developer
Koniag Government Services
Huntsville, AL
KGS is currently seeking an accomplished Senior Full Stack Software Engineer/Developer to spearhead the engineering, enhancement, and architectural modernization of core Line of Business…
Added 29 mins ago
AI Security Engineer - Mid
Koniag Government Services
Washington, DC
…operations, threat detection, incident response, and compliance automation capabilities under the direction of the AI Security Engineer…
Added 29 mins ago
Harness/Traceable Integration Engineer (Senior)
Koniag Government Services
Washington, DC
…company, is seeking an experienced Harness/Traceable Integration Engineer (Senior) to support enterprise DevSecOps operations, API security, and IT administrative and operational support…
Added 29 mins ago
Perplexity/AI Integration Lead
Koniag Government Services
Washington, DC
Added 29 mins ago
Sr. AI Technical Lead & Data Developer (REMOTE)
Koniag Government Services
Albuquerque, NM
Write clean, efficient, and production-ready Python code for data manipulation, automation, and AI integration.
Added 29 mins ago
Sr. Web & Mobile Developer & DevOps (REMOTE)
Koniag Government Services
Albuquerque, NM
…gap between responsive application delivery and modern cloud automation. We are looking for a veteran full-stack developer who can build seamless web and mobile-responsive experiences,…
Added 29 mins ago
Senior AWS DevOps Engineer - AWS, Kubernetes, HCP, CI/CD, Observability with AI-focus (REMOTE)
Koniag Government Services
Washington, DC
Koniag Professional Services, a Koniag Government Services company, is seeking a Senior AWS DevOps Engineer - AWS, Kubernetes, HCP, CI/CD, Observability with AI-focus to support the CRM,…
Added 29 mins ago
DevOps Engineer (REMOTE)
Koniag Government Services
Washington, DC
Koniag Data Solutions, LLC (KDS), a Koniag Government Services company, is seeking an experienced DevOps Engineer to support next-generation cloud infrastructure, modernization, and…
Added 29 mins ago
Mid-Level Microsoft DevOps Engineer (REMOTE)
Koniag Government Services
Washington, DC
Koniag Professional Services, a Koniag Government Services company, is seeking a Mid-Level Microsoft DevOps Engineer - Azure, AKS, Bicep, CI/CD, Observability with AI-focus to support the…
Added 35 mins ago
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Quality Engineer (AI & Test Automation)
Cognizant
Jefferson City, MO
- $65,000 USD / year
…quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this…
Added 36 mins ago
Lead java engineer with aws
TransUnion LLC
Crum Lynne, PA
Added 36 mins ago
P
Manager, PX, GWE, North America Commercial Site Works
Pfizer
Collegeville, PA
- $99,200 to $165,400 USD / year
Added 36 mins ago
Senior Engineer, Process Data Science and Statistics
AstraZeneca Pharmaceuticals LP Company
Gaithersburg, MD
The Sr Engineer will develop and maintain analytical workflows for multivariate process monitoring, predictive modeling of batch outcomes from incoming material, and anomaly detection on…
Added 36 mins ago
Principal Software Engineer
The MITRE Corporation
McLean, VA · Bedford, MA
Roles & Responsibilities: We're seeking an experienced and properly credentialed Principal Software Engineer to join our team, who not only excels in software development but also possesses…
Added 37 mins ago
Principal I&C Parts Product Engineer
Westinghouse Electric Company
Cranberry Township, PA
Added 37 mins ago
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Automation Engi
Actalent
Reading, PA
- $90,000 to $100,000 USD / year
Provide continuous improvement of MES and Industrial Automation Controls.
Added 37 mins ago
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Sterile Construction Project Manager
Actalent
King of Prussia, PA
- $65 to $95 USD / hour
Ensure each RFI is complete, routed to the appropriate engineer, and answered within the agreed response time.
Added 39 mins ago
SFDC DevOps Engineer
Synopsys, Inc.
Philadelphia, PA
…ignites the ingenuity of tomorrow. You Are You are the kind of engineer who sees a manual deployment step and immediately starts thinking about how to automate it. A broken deployment can…

AI Systems Engineer - DevOps& Observability Manager

Jefferson 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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More about this job

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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