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DTN seeks an experienced Engineering Manager to lead the Platform team responsible for the DTN Operational Decisioning Platform (ODP). As a hands-on leader, you will shape architecture, drive secure, scalable cloud foundations on AWS, and mentor engineers across levels.
You will champion AI-assisted software development practices and partner with Architecture, Product, and Solutions teams to deliver reusable platform capabilities and developer experiences.
DTN is seeking an experienced, hands‑on Engineering Manager to lead the engineering team responsible for building the foundational capabilities of our Operational Decisioning Platform (ODP). The DTN Operational Decisioning Platform is an internal platform that packages cloud infrastructure into purpose-built, higher-level capabilities so that our engineers, solutions teams, and customers can build data products, applications, and AI-powered tools without managing the underlying cloud infrastructure themselves. The ODP Platform team builds the foundational layer that other teams rely on, including APIs, software development kits (SDKs), command-line interfaces (CLIs), developer tooling, and managed services. Much of this work is greenfield, providing an opportunity to shape the architecture, engineering practices, and long‑term evolution of a critical enterprise platform. This is a hands‑on engineering leadership role combining people management, technical direction, platform delivery, and operational ownership. As a player/coach, you will guide the engineers building complex distributed systems, partner closely with Architecture, Product, and platform consumers, and establish the engineering quality and operational rigor required to deliver secure, reliable, and reusable capabilities at scale.
Lead and manage a team of platform engineers across multiple experience levels, with responsibility for hiring, onboarding, performance management, professional development, and day‑to‑day delivery. Coach, mentor, and grow engineers while establishing a healthy, collaborative, high‑accountability engineering culture. Set and maintain high standards for engineering quality, technical execution, operational discipline, and continuous improvement. Serve as a hands‑on technical leader who can engage deeply in architectural discussions, critically evaluate designs, and help engineers navigate complex technical tradeoffs.
Own the platform's technical direction in partnership with senior engineers and architecture stakeholders. Guide the design and implementation of foundational, distributed, multi‑account cloud systems built on AWS. Oversee the development of developer‑facing APIs, SDKs, CLIs, tooling, and managed services that enable other engineering teams to build on the platform. Lead foundational distributed‑systems engineering efforts involving secure cross‑account communication, multi‑tenant isolation, provisioning, and lifecycle automation. Develop platform abstractions that allow engineers and solutions teams to work with purpose‑built operational capabilities rather than raw cloud infrastructure. Guide architectural decisions for new and evolving platform capabilities, including substantial greenfield development. Ensure platform architecture supports scalability, security, maintainability, and long‑term reuse across multiple products and teams.
Build a shared platform that internal engineering and solutions teams actively want to use and contribute to. Drive an approach in which reusable platform capabilities emerge from real engineering and customer requirements. Establish practices and incentives that encourage teams to consume, improve, and contribute to shared platform components. Make reuse the default by developing capabilities that improve developer productivity and reduce duplicated engineering effort. Partner with Product to deliver visible, usable milestones, including a developer portal, technical documentation, and initial productized platform capabilities. Incorporate feedback from internal and external platform stakeholders into technical priorities and the product roadmap.
Own the platform's operational contract, ensuring that security, isolation, reliability, and observability guarantees are consistently maintained. Establish and maintain strong cloud identity and access management, isolation boundaries, and appropriate security controls. Guide the implementation of signed and authenticated service‑to‑service communication, least‑privilege access, and secure multi‑account architectures. Ensure end‑to‑end observability, monitoring, and operational visibility are foundational platform capabilities. Own the health of on‑call operations, incident response processes, and service‑level objectives. Promote reliable engineering practices, including automated testing, infrastructure as code, trunk‑based development, and incremental, reversible delivery. Balance platform availability, security, and operational requirements with the need to deliver new capabilities efficiently.
Partner closely with Architecture, Identity, Product, and Solutions/Field Engineering to ensure platform capabilities meet the needs of teams building on the platform. Translate strategic objectives into actionable engineering roadmaps and measurable delivery milestones. Communicate technical direction, delivery progress, dependencies, and risks to engineering leadership and cross‑functional stakeholders. Balance speed‑to‑value with the development of durable, scalable, and reusable platform foundations. Coordinate across engineering teams to resolve dependencies, align architectural decisions, and ensure effective delivery. Partner with Product and other stakeholders to ensure that platform investments deliver meaningful business and developer value.
Champion modern AI‑assisted software development practices, including coding assistants and agentic development tools, to improve engineering productivity and team velocity. Guide the design and integration of AI‑augmented capabilities into the platform's modular architecture. Support platform capabilities that incorporate large language models (LLMs), AI agents, and related services. Evaluate how emerging AI development technologies can improve engineering workflows and expand the capabilities available to platform consumers.
Compensation: The targeted hiring base pay range for this position is between $110,000 and $145,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather‑driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision‑grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world. At DTN, we value clarity, trust, and action. We’re a team of problem‑solvers, outcome‑drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do. Trust Built: We earn it. We keep it. We protect it. Confidence‑Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act. Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts. Future‑Forward: We see what’s coming‑and we’re ready. We help customers lead through change with smarter decisioning.
DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather‑driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision‑grade insights – empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.