Jobs in the United States

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Added 22 mins ago
J
Senior Software Engineer (Palantir Foundry)
Jobgether
Remote, United States
- $143,824 to $179,780 USD / year
…and next steps. Our partner is looking for a Senior Software Engineer (Palantir Foundry) based in the United…
Added 1 hour ago
Sr Consultant, Software Engineering - Forward Deployed Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and leading others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 1 hour ago
Consultant, Software Engineer - Platform Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and guiding others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 1 hour ago
Consultant, Software Engineer - Forward Deployed Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and guiding others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 4 hours ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
DevSecOps, Linux, Microsoft Azure, Microsoft Windows, Systems EngineeringCertifications:
Added 6 hours ago
Application Engineer - DevOps & Engineering Tools
RTX Corporation
phoenix, AZ
We are seeking an experienced Application Engineer - DevOps & Engineering Tools to join our agile team! In this role you will deploy, administer, and support new and existing…
Added 8 hours ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
- Familiarity with TypeScript or JavaScript, AWS or GCP, cloud security, DevSecOps, and secure SDLC practices.
Added 10 hours ago
QA and Test Engineer Role
OpenDataJobs
Washington, DC
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 10 hours ago
AWS Cloud Systems Engineer
Systems Engineering Solutions Corporation
Hanscom Air Force Base, MA
This role supports the U.S. Air Force Cloud One Architecture and Common Shared Services contract and currently has an opening for an AWS Cloud Systems Engineer.
Added 10 hours ago
AWS Cloud Systems Engineer
Systems Engineering Solutions Corporation
Boston, MA
This role supports the U.S. Air Force Cloud One Architecture and Common Shared Services contract and currently has an opening for an AWS Cloud Systems Engineer.
Added 10 hours ago
O
DevSecOps Engineer (Kubernetes, CI/CD)
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
4+ years of experience in DevSecOps or platform engineering
Added 10 hours ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Washington, DC
- $80,000 to $95,000 USD / year
…commit, never in a final gate, and you are eager to grow into an engineer whose automation replaces other people's manual work and leaves an audit trail. When you hit a wall, you ask rather…
Added 10 hours ago
Product Cybersecurity Engineer
Toyota Tsusho Systems
Plano, TX
The Product Cybersecurity Engineer supports the Product Cybersecurity Integrity team in confirming that Toyota Motor North America out-vehicle products and services meet CSMS expectations.…
Added 10 hours ago
SD
1792 - Software Engineer
Sigma Defense
Norfolk, VA
- $150,000 to $170,000 USD / year
Sigma Defense is seeking a Software Engineer to join our team in Norfolk, VA. The hired candidate will support engineering, development, integration, and modernization activities. This…
Added 11 hours ago
DT
AI (ML) Engineer - Colorado Springs, CO
Davidson Technologies, Inc.
Colorado Springs, CO
- $119,000 to $142,000 USD / year
Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO.
Added 11 hours ago
(MBSE) Software Systems Engineer - Roy, UT
Davidson Technologies, Inc.
Roy, UT
Davidson Technologies Inc. is seeking a (MBSE) Software Systems Engineer onsite in Roy, UT.
Added 12 hours ago
Cloud Security Controls Engineer
Deloitte US
Dallas, TX
…collaborative environment? As an experienced Cloud Security Controls Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive…
Added 12 hours ago
Network Engineer - Mid/Sr
Deloitte US
Colorado Springs, CO
As a PROJECT - Lead Security Engineer II on the Enterprise Security team, you will be responsible for designing, deploying, troubleshooting, and optimizing secure, high-availability…
Added 12 hours ago
Full Stack Software Engineer - Software Engineer III
Deloitte US
Des Moines, IA
We are seeking a full stack software engineer to support the design, development, testing, and deployment of technology solutions for Deloitte’s Government and Public Services practice. In…
Added 12 hours ago
Applied AI Site Reliability Engineer III
Deloitte US
Hermitage, TN · Nashville, TN
As an Applied AI Site Reliability Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of…
Added 12 hours ago
L55 - Lead DevOps Engineer II
Deloitte US
Hermitage, TN · Nashville, TN
As a Lead Applied AI Site Reliability Engineer II, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity…
Added 12 hours ago
Applied AI Site Reliability Engineer I (PxE A&A)
Deloitte US
Tampa, FL
As an Applied AI Site Reliability Engineer I, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of…
Added 12 hours ago
Converge for FSI - RAE Lead Product Forward Deployed Engineer_Products & Platforms
Deloitte US
Arlington Heights, IL · Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Birmingham, AL · Boise, ID · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Costa Mesa, CA · Dallas, TX · Davenport, IA · Dayton, OH · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Fresno, CA · Ft. Lauderdale, FL · Gilbert, AZ · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Honolulu, HI · Houston, TX · Huntsville, AL · Indianapolis, IN · Inglewood, CA · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lake Mary, FL · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Mechanicsburg, PA · Memphis, TN · Miami, FL · Midland, MI · Milwaukee, WI · Minneapolis, MN · Monterey, CA · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Omaha, NE · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Rosslyn, VA · Sacramento, CA · Salt Lake City, UT · San Antonio, TX · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tallahassee, FL · Tampa, FL · Tempe, AZ · Tulsa, OK · Washington, DC · Westlake, TX · Wichita, KS · Williamsville, NY
We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will…
Added 12 hours ago
Applied AI Platform Engineer III
Deloitte US
Dallas, TX · Hermitage, TN · Jersey City, NJ · Morristown, NJ · Nashville, TN · NY
Role Overview: As an Applied AI Platform Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to building the platforms, tooling, accelerators, and…
Added 18 hours ago
Lead, Information Security Systems Engineering
L3Harris
Salt Lake City, UT
…governance, risk, and compliance (GRC) and who have experience as an engineer who are interested in contributing to high-assurance defense…

Tessera Labs

AI Infrastructure Engineer [Tooling]

Remote, United States

$200,000 to $230,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $200,000 to $230,000 USD / year
Experience: 5+ years of experience in infrastructure, platform, or backend engineering (7+ years for senior)
Posting language: English
Posted: Oct 29, 2026

Original job description

AI INFRASTRUCTURE ENGINEER [TOOLING]

About Tessera Labs

Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, Databricks, and more.

Our mission is simple but ambitious: bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

ABOUT THE TEAM

The AI Platform team builds and operates the foundational infrastructure that lets Tessera's multi-agent systems run reliably, securely, and consistently across customer environments. That spans the portable cloud foundation (Kubernetes, networking, automation) and the AI-specific layer on top of it: model serving, agent runtimes, evaluation and release tooling, and the internal CLIs and services our engineers use every day.

The work directly enables us to onboard and operate enterprise customers under strict security and compliance constraints while preserving developer velocity. It reduces integration risk, standardizes operations across hyperscalers, and makes sure product teams can ship AI features safely without infrastructure becoming a bottleneck.

THE ROLE

As an AI Infrastructure Engineer, you'll design, build, and own the tooling and services that take Tessera's AI agents from a developer's laptop to production in customer clouds. You'll write real software in Python or Go - CLIs, controllers, and internal services - and run it on Kubernetes alongside LLM serving stacks like vLLM.

This is a hands-on IC role open at mid to senior level. Mid-level engineers will own well-scoped components end to end; senior engineers will also set technical direction, make architectural calls across the platform, and mentor others. We'll calibrate level based on experience and interviews.

WHAT YOU'LL DO

AI infrastructure tooling

Build and maintain internal CLIs, SDKs, and services in Python or Go that let engineers provision, deploy, test, and debug AI agents across environments
Deploy, scale, and tune LLM inference using vLLM (and similar serving stacks), including GPU scheduling, autoscaling, batching, and cost/latency trade-offs
Build infrastructure for multi-agent systems: agent runtimes, tool and connector execution, sandboxing, state management, and safe rollout of new agent versions
Own MLOps workflows: model and prompt versioning, evaluation pipelines, artifact registries, and promotion from staging to production
Write Kubernetes operators and custom controllers (CRDs) that encode how Tessera's AI workloads are deployed and managed

Cloud platform and reliability

Design, build, and operate production-grade AI agent infrastructure on Kubernetes and Terraform
Support Tessera's portable infrastructure across Azure, Oracle Cloud, GCP, and AWS, with primary ownership of at least one cloud variant
Improve observability for AI systems: tracing of agent and LLM calls, token and GPU utilization, latency, error rates, and cost
Strengthen security and reliability for workloads running in customer environments under strict compliance constraints

Automation and developer experience

Design and own CI/CD for infrastructure, services, and model/agent releases, using GitOps and pipeline-as-code
Build self-service tooling that removes manual work: environment provisioning, secret rotation, dependency updates, compliance checks, and release management
Partner closely with AI, product, and platform engineers to unblock delivery
Champion an automation-first mindset: if something is done twice, it should be automated; if it's automated, it should be observable and maintained like production code

MUST-HAVE QUALIFICATIONS

5+ years of experience in infrastructure, platform, or backend engineering (7+ years for senior)
AI infrastructure tooling: strong software engineering in Python or Go, with a track record of building and shipping tools, CLIs, or services that other engineers rely on
Hands-on experience running LLM workloads in production, including serving with vLLM or a comparable stack (TGI, Triton, SGLang, Ray Serve)
Experience building infrastructure for AI agents or LLM applications: orchestration, tool calling, evaluation, or agent runtimes
Practical MLOps experience: model/prompt versioning, evaluation and release pipelines, and observability for ML systems
Strong hands-on experience with Kubernetes, including writing or extending operators/controllers (Kubebuilder, Operator SDK, controller-runtime, or Kopf)
Strong hands-on experience with Terraform and at least one of Azure, Oracle Cloud, GCP, or AWS
Proven experience designing and owning CI/CD systems, GitOps-driven deployments, and release automation
Solid networking fundamentals
Proven experience deploying and operating real production systems

NICE-TO-HAVE QUALIFICATIONS

GPU infrastructure experience: NVIDIA GPU Operator, MIG, KServe, or Karpenter-style autoscaling for inference
Familiarity with agent frameworks and protocols (LangGraph, Model Context Protocol, OpenAI Agents SDK, or similar)
LLM observability tooling such as OpenTelemetry, Langfuse, or Arize
Experience with FluxCD, ArgoCD, or other GitOps controllers
Cloud security and DevSecOps: security gates, SBOM generation, and compliance checks in CI/CD
Deep networking expertise (service mesh, private connectivity, multi-cloud networking)
Open-source contributions to AI infrastructure or Kubernetes ecosystem projects
A passion for clean, unified infrastructure and a builder mindset

WHO YOU ARE

A builder who writes production-quality code, not just configuration
Curious about the fast-moving AI infrastructure landscape and eager to learn new tools
Comfortable owning and defending infrastructure decisions, with clear reasoning about trade-offs
Experienced in startups and/or big tech environments
Highly self-motivated with a strong ownership mindset
Someone who enjoys building foundational systems that other engineers rely on

WHY JOIN TESSERA LABS

Work on cutting-edge AI infrastructure with real enterprise impact
Own foundational systems at an early-stage, high-growth company
Collaborate with a sharp, execution-focused founding team
Shape how AI agents are deployed across the largest enterprise platforms in the world

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