[Hiring] Platform Engineer @DTN

Role Description

DTN is seeking a talented Platform Engineer to help build and evolve the foundational cloud-native 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.

As a Platform Engineer, you will build and deliver features across the platform's developer-facing APIs, software development kits (SDKs), command-line interfaces (CLIs), module framework, and managed services. You will work autonomously on well-scoped engineering initiatives while collaborating with senior engineers who provide technical guidance, design reviews, and mentorship.

This is an opportunity for an engineer with several years of professional experience to deepen their expertise in AWS cloud-native technologies, distributed systems, and platform engineering. You will help build infrastructure that other engineers depend on while developing the technical judgment and ownership skills needed to advance toward a senior engineering role.

Qualifications

• 2–5 years of professional software engineering experience developing and shipping production software.
• Bachelor's degree in Computer Science or equivalent professional experience.
• Demonstrated ability to independently deliver moderately complex software features from development through deployment.
• Strong problem-solving skills, technical curiosity, and a commitment to continuous professional growth.

Requirements

• Design, build, test, and deploy platform features from initial planning through production delivery.
• Implement service logic, module functionality, and business logic supporting the DTN Operational Decisioning Platform.
• Develop and extend developer-facing APIs, SDKs, CLIs, and managed platform capabilities.
• Write and maintain infrastructure-as-code configurations required to provision and deploy platform services.
• Independently own moderately complex engineering features from development through deployment, with minimal oversight.
• Solve day-to-day technical challenges independently while escalating architectural and design questions to senior engineers when appropriate.
• Contribute to the development and evolution of the platform's module framework.
• Implement interface contracts and business logic within a framework that manages common platform requirements.
• Develop reliable software components that integrate effectively with the platform's shared services and architectural standards.
• Apply distributed-systems principles, including asynchronous processing, retry handling, idempotency, and reliable service interactions.
• Develop and maintain cloud-native services using AWS infrastructure and platform capabilities.
• Use Terraform or comparable infrastructure-as-code tools to define and manage cloud infrastructure.
• Instrument services with appropriate metrics, monitoring, and observability capabilities to support troubleshooting and operational reliability.
• Participate in the team's supported on-call rotation and assist with investigating service failures and operational incidents.
• Use modern AI-assisted software development tools to support daily engineering activities.
• Collaborate with senior engineers, engineering leadership, and cross-functional stakeholders to deliver high-quality platform capabilities.

Benefits

• Competitive Salary
• Unlimited PTO
• Flexible working hours
• Remote work model (position dependent)
• Competitive Medical, Dental and Vision Insurance Plans
• 6% 401K matching
• Unlimited access to 13k+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)

Compensation

The targeted hiring base pay range for this position is between $85,000 and $113,000. 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.