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Added 1 min ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Support model lifecycle and MLOps practices, including model selection, versioning, deployment automation, CI/CD integration, and secure management of secrets, keys, and model endpoints
Added 1 min ago
UG
Principal Cybersecurity Analyst (Attack Surface Mgt.) On Site MN
UnitedHealth Group
Columbia, MD
- $112,700 to $193,200 USD / year
…integrating modern, enterprise-approved AI tools and intelligent automation into daily operations, you will drive operational efficiency and elevate the proactive cyber resilience of…
Added 1 min ago
UG
Oracle Exadata DBA - Remote
UnitedHealth Group
New York, NY
- $112,700 to $193,200 USD / year
Join the NY APD and Virginia EDW Analytics Operations and Maintenance team within Optum Technology as a Principal Data Engineer. In this role, you will lead the architecture, design, and…
Added 1 min ago
Lead Embedded SW Test & Verification Engineer
Blue Origin Personnel, LLC
United States
…business unit. Build the strategy, test infrastructure and automation that turn software requirements into repeatable tests and traceable evidence for software releases, supporting Blue…
Added 3 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
When you engineer for People Systems, your users are Apple’s most vital asset: its People. We are seeking a visionary Application Architect to shape the technical strategy for People…
Added 3 mins ago
Sr Network Engineer
Disney Entertainment & Sports LLC
Glendale, CA · New York, NY
We are looking for a Senior Network Engineer for Data Center, Backbone, & CDN who is passionate about large-scale network infrastructure. This is a technical leadership role within our…
Added 3 mins ago
Senior Production Site Reliability Engineer - PH
Walt Disney Pictures
Glendale, CA
Previous work experience in a similar discipline (Cloud Engineer, Automation Engineer, Full Stack Engineer).
Added 4 mins ago
WW
Sr. Systems Engineer
World Wide Technology
Maryland Heights, MO
- $120,000 to $130,000 USD / year
…for delivery, upgrade, and security updates. As the Senior Engineer Microsoft SME, you will be responsible for creating, managing, and seamlessly delivering the Windows desktop core build…
Added 5 mins ago
Lead Software Engineer
JPMC page
Chicago, IL
As a Lead Software Engineer at JPMorganChase within the Consumer Community Banking Digital Technology department, you are an integral part of an agile team that works to enhance, build, and…
Added 8 mins ago
Senior Software Engineer, CAPE
Crusoe
San Francisco, CA · Sunnyvale, CA
We are seeking a Senior Software Engineer to architect, design, and develop Cloud Infrastructure management systems and platforms. You'll deliver end-to-end use cases and workflows for a…
Added 8 mins ago
Lead Software Engineer
ZBETA Consulting
Remote, United States
As the Lead Software Engineer, you'll play a foundational role in building ZBeta's Software & AI function from the ground up. Reporting to the SVP of Software & AI Solutions, you'll lead…
Added 10 mins ago
Engineer/Sr Engineer, IT Cybersecurity Governance, Risk & Compliance
United States
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Added 10 mins ago
Lead Software Engineer - AI
Humana Inc.
NY · Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Dallas, TX · Fort Lauderdale, FL · Louisville, KY · Nashville, TN · TX · Tampa, FL · Washington, DC
The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to…
Added 12 mins ago
Software Development Engineer III, AWS AI/ML Servers
Amazon.com Services LLC
Seattle, WA
We are seeking a Software Development Engineer to design and build the software that operates our accelerated compute fleet: fleet-management services, orchestration and remediation control…
Added 12 mins ago
Software Development Engineer, US Prime and Marketing Tech - Fabric Team
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…requests per day. We're looking for a Software Development Engineer to help push it…
Added 14 mins ago
Account Executive – Metals & Mining
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Remote, United States
- 10–15 years of enterprise B2B sales, including 5+ years selling industrial software, APM, automation or mining technology.
Added 14 mins ago
Account Executive – Power Generation / Data Centers
UptimeAI
Remote, United States
- 10–15 years of enterprise B2B sales, including 5+ years selling industrial software, APM, automation or power and cooling technology.
Added 14 mins ago
A
Sr DevOps Engineer
ArtosAI
San Francisco, CA
- $166,500 to $231,000 USD / year
We're looking for a Senior DevOps Engineer to design, build, and maintain the infrastructure that powers our platform. You'll play a critical role in scaling our AWS infrastructure,…
Added 18 mins ago
W
AI Architect
WTW
Philadelphia, PA
- $120,000 to $150,000 USD / year
Added 18 mins ago
Sr. Security Engineer
Octus
Remote, United States
We're hiring a hands-on Senior Cybersecurity Engineer to own the security technology that protects Octus employees, endpoints, and enterprise systems. You'll keep our security stack healthy…
Added 18 mins ago
Manufacturing Engineer (Starlink Development)
SpaceX
Bastrop, TX
As a Manufacturing Engineer on the Development Operations team, you will own how Starlink hardware gets built. You will lead the factory projects that put new tooling and automation on the…
Added 19 mins ago
C
Senior Security Engineer, Infrastructure Security
ClickUp
Remote, United States
- $160,000 to $210,000 USD / year
…defensive controls, detection and response. We build tooling and automation, including AI-powered workflows, to turn what we learn into lasting…
Added 25 mins ago
Principal AI Engineer
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Dallas, TX
We are seeking a Principal Engineer to lead the discovery, architecture, and delivery of AI and agentic solutions across Canadian Banking, International Banking, Global Banking and Markets…
Added 25 mins ago
Full Stack Engineer
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Dallas, TX
As a Software Engineer, you will design and develop scalable software solutions supporting quality controls, business rules, automation, and enterprise data management capabilities.
Added 28 mins ago
Senior Product Operations Engineer, Space
Anduril Industries
Costa Mesa, CA
We are looking for a Senior Product Operations Engineer to join our Space team in Costa Mesa, CA someone who brings deep technical credibility and the leadership presence to match. This is…

AI Systems Engineer - DevOps& Observability - Senior

Saint Louis, 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 advised 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. Works with senior engineers to test and develop capabilities.

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

+ Supports 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

+ 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

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

+ 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 harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers .

+ The salary range for this job is:

+ New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $128,400 to $192,500

+ Bay Area California offices - $133,600 to $200,600

+ All other offices locations in the US, including Sacramento - $106,900 to $176,500

+ Individual salaries within these ranges are de...

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More about this job

Skills

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

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