Senior Full-Stack, DevOps & AI Engineer

Daimler Truck•Portland, OR

3d•$117,000 - $150,000•Hybrid

About The Position

The Senior Full-Stack, DevOps & AI Engineer leads the design, development, deployment, and support of modern software applications, AI-powered solutions, and DevOps practices that improve Manufacturing Engineering, Production, Quality, and Continuous Improvement processes across DTNA manufacturing facilities and Corporate Manufacturing Engineering. The role combines senior full-stack application development, AI software engineering, DevOps automation, data integration, solution architecture, and modern software delivery to build scalable applications, APIs, automation frameworks, analytics solutions, and intelligent tools for manufacturing operations. The position provides project leadership, technical guidance, stakeholder coordination, and end-to-end solution ownership from concept through production deployment. The engineer works with plant leadership, corporate engineering, operations, analytics, IT, cybersecurity, vendors, and business stakeholders to identify needs, set priorities, manage delivery, and ensure production systems are reliable, secure, and maintainable. The role operates independently, influences technical direction, coordinates cross-functional initiatives, mentors engineers, and communicates complex technical concepts to technical and non-technical audiences. The position is based in Portland, Oregon, and follows a hybrid schedule of four days per week in the office and one day remote. Relocation assistance is available to eligible selected candidates. The starting salary range is $117,000–$150,000 USD, depending on knowledge, skills, and experience.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related technical field, with at least 5 years of relevant experience.
Advanced experience with full-stack application development.
Experience in plant logistics processes and software development.
Strong experience with front-end frameworks such as ReactJS, Angular, JavaScript, or TypeScript, or similar technologies.
Strong experience with back-end technologies such as .NET Core, C#, Python, or Node.js, or similar technologies.
Strong experience with SQL, relational databases, data modeling, stored procedures, REST APIs, microservices, and integration patterns.
Experience implementing DevOps practices, CI/CD pipelines, source control workflows, automated deployments, monitoring, and release management.
Experience leading or coordinating technical projects, including requirements gathering, planning, execution, risk management, stakeholder communication, and delivery tracking.
Experience with AI, machine learning, generative AI, Azure OpenAI, intelligent agents, RAG applications, data engineering, ETL/ELT, and event-driven architectures.
Strong analytical, problem-solving, communication, facilitation, stakeholder engagement, prioritization, mentoring, and leadership skills.
Experience with DTNA ME productivity apps development, Procoord, ME toolkit, SCT, and Issue Tracker.
Demonstrated experience working with IBM IMS and DB2 in enterprise environments, including SQL development, application support, performance, and troubleshooting.
An attached resume is required.

Nice To Haves

Experience with ReactJS, Angular, JavaScript, or TypeScript.
Experience with .NET Core, C#, Python, or Node.js.
Experience with REST APIs, microservices, or distributed application design.
Experience with SQL Server, Azure SQL, Snowflake, or DB2.
Experience with GitHub Actions, Azure DevOps, or CI/CD pipelines.
Experience with Docker, Kubernetes, or Rancher.
Experience with application monitoring, logging, alerting, and observability tools.
Experience with Azure OpenAI, Azure AI Services, or generative AI frameworks.
Experience with intelligent agents, RAG applications, vector databases, or semantic search.
Experience with Power BI, Tableau, data pipelines, or ETL.

Responsibilities

Lead development and support of front-end applications, back-end services, APIs, microservices, automation tools, and enterprise manufacturing systems.
Develop AI-powered solutions, including generative AI applications, intelligent agents, RAG applications, predictive analytics, semantic search, and automation workflows.
Implement DevOps and software delivery practices, including CI/CD pipelines, source control strategies, automated testing, deployment automation, release management, observability, monitoring, and production-readiness standards.
Own technical delivery from requirements gathering and solution design through implementation, testing, deployment, production support, root-cause analysis, and long-term remediation.
Lead cross-functional project execution by coordinating scope, timelines, risks, dependencies, priorities, stakeholder communication, technical reviews, and delivery follow-up.
Mentor team members and establish reusable patterns and documentation.
Promote secure development practices, simplify processes, and improve system reliability.
Present project updates and technical recommendations to leadership.

Benefits

Annual bonus program
401(k) company contribution with company match up to 6% and non-elective company contribution of 3–7%, depending on age
Starting at 4 weeks of paid vacation
13 or more calendar holidays
8 weeks of paid parental leave
Employee assistance program
Comprehensive healthcare plans
Wellness programs
Onsite fitness at some locations
Tuition assistance
Paid volunteer time off
Short-term disability plans
Long-term disability plans
Relocation assistance for eligible selected candidates