At Lineage, the aim is not to build the largest technology team; instead, we are creating a small, highly skilled group that focuses on having the right mix of talents, skills, and the capacity to learn in areas that define our core differentiation. We leverage cloud services, best-of-breed libraries and components, and external teams to augment our capabilities with sufficient capacity. This means that in addition to being a firsthand technologist, you also need to be able to review and collaborate with internal and external partners to deliver, and to build a platform that enables Forward Deployed Engineers and other colleagues to ship use cases rapidly and safely.
As a company, Lineage builds state-of-the-art systems to make our employees productive, to meet and exceed our customers’ expectations, to assist in our growth, and to create a technology platform that enables Lineage to achieve its vision of transforming the food supply chain. This is a foundational role in that journey, and it will require someone who has a true passion for building secure, scalable platforms and for the responsible application of AI at enterprise scale.
Primary Responsibilities:
Design, deploy, and operate Lineage’s core AI platform, including model hosting, orchestration, and evaluation (evals) infrastructure.
Build and maintain CI/CD pipelines, developer tooling, and sandbox environments that enable Forward Deployed Engineers and Skills/Agent Engineers to ship use cases rapidly.
Implement guardrails, monitoring, and observability to ensure platform safety, security, and compliance with enterprise IT, Cyber, Legal, and Risk requirements.
Collaborate with IT Security, Legal, and Risk stakeholders to embed governance into the platform from day one.
Define and enforce platform standards, including APIs, SDKs, and model packaging conventions, so that integrations remain consistent and maintainable as the platform scales.
Partner with the Site Reliability Engineers to establish SLOs, incident response, and capacity planning as the platform scales.
Contribute to the evaluation framework by building tooling for automated model testing, regression detection, and performance benchmarking.
Consistently deliver high-quality software and processes in usable increments.
Grow and maintain a broad and deep knowledge of supply chain operations and the ways AI can be applied to them.
Education and Work Experience:
University degree in computer science, software engineering, or a related field and/or >10 years of relevant work experience.
5+ years of experience in platform engineering, infrastructure engineering, MLOps, or a related discipline.
Hands-on experience building and operating ML/AI serving infrastructure (e.g., model registries, inference endpoints, evaluation pipelines).
Strong proficiency with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
Experience with infrastructure-as-code (Terraform, Pulumi) and CI/CD tooling.
Solid understanding of security and compliance requirements in regulated enterprise environments.
Experience standing up a new platform or developer platform from scratch (greenfield builds) is strongly preferred.
Familiarity with LLM deployment patterns, agent frameworks, and retrieval-augmented generation (RAG) architectures is a plus.
Experience with model evaluation tooling and red-teaming methodologies is a plus.
Previous exposure to supply chain technologies including WMS, TMS, YMS, and related systems is a plus.
Required Skills and Abilities:
Demonstrate excellent verbal and written communication skills, including the ability to translate platform capabilities into terms business and governance stakeholders understand.
Possess a willingness to be coached and proactively seek feedback.
Manage multiple assignments / projects simultaneously.
Properly set priority and order for work.
Work in a fast-paced, agile environment.
Ask for help and provide it to others.
Understand your skills and your talents and apply them appropriately.
Learn and apply modern technologies and business concepts.
Mentor and provide guidance, especially to other technical resources.
#LI-Remote
Why Lineage?
This is an excellent position to begin your career path within Lineage! Success in this role enables greater responsibilities and promotions! A career at Lineage starts with learning about our business and how each team member plays a part each and every day to satisfy our customers’ requirements. Beyond that, you’ll help us grow and learn on our journey to be the very best employer in our industry. We’ll ask you for your opinion and ensure we do our part to keep you developing and engaged as we grow our business. Working at Lineage is energizing and enjoyable. We value respect and care about our team members.
Lineage is an Equal Employment Opportunity Employer and is committed to compliance with all federal, state, and local laws that prohibit workplace discrimination and unlawful harassment and retaliation. Lineage will not discriminate against any applicant on the basis of race, color, age, national origin, religion, physical or mental disability or any other protected status under federal, state and local law.
Benefits
Lineage provides safe, stable, reliable work environments, medical, dental, and basic life and disability insurance benefits, 401k retirement plan, paid time off, annual bonus eligibility, and a minimum of 7 holidays throughout the calendar year.
Skills Required
- University degree in computer science, software engineering, or related field and/or >10 years relevant work experience
- 5+ years of experience in platform engineering, infrastructure engineering, MLOps, or a related discipline
- Hands-on experience building and operating ML/AI serving infrastructure (model registries, inference endpoints, evaluation pipelines)
- Strong proficiency with cloud platforms (AWS, Azure, or GCP)
- Experience with container orchestration and containers (Kubernetes, Docker)
- Experience with infrastructure-as-code (Terraform, Pulumi) and CI/CD tooling
- Solid understanding of security and compliance requirements in regulated enterprise environments
- Experience standing up a new platform or developer platform from scratch (greenfield builds)
- Familiarity with LLM deployment patterns, agent frameworks, and RAG architectures
- Experience with model evaluation tooling and red-teaming methodologies
- Previous exposure to supply chain technologies (WMS, TMS, YMS)
- Excellent verbal and written communication skills and ability to translate technical capabilities to business and governance stakeholders
- Ability to mentor and provide guidance to other technical resources
What We Do
Lineage Logistics is the industry’s leading innovator in temperature-controlled supply chain and logistics. Lineage’s expertise in end-to-end logistical solutions, its unrivaled real estate network, and its use of technology combine to promote food safety, increase distribution efficiency, advance sustainability, lessen environmental impact, and minimize supply chain waste. As a result, Lineage helps customers ranging from Fortune 500 companies to small family-owned businesses increase the efficiency and protect the integrity of their temperature-controlled supply chain. In recognition of the company’s leading innovations, Lineage was recognized as the No 1. Data Science company on Fast Company’s Annual list of The World’s Most Innovative Companies in 2019, in addition to ranking 23rd overall in an evaluation of thousands of companies worldwide.
