Senior Full-Stack, DevOps & AI Engineer

Daimler Truck North America; Portland (ME); On-site; USD 117,000 - 150,000; Full time

Benefits offered by this job

Annual bonus program

401k company contribution with company

4 weeks paid vacation

13+ holidays

Paid parental leave

Employee assistance program

Healthcare plans

Onsite fitness

Tuition assistance

Volunteer paid time off

Disability plans

Job summary

Daimler Truck North America in Portland, ME is seeking a Senior Full-Stack, DevOps & AI Engineer to lead the design, development, deployment, and support of modern software applications, AI-powered solutions, and DevOps practices across manufacturing and corporate teams.

You will own end-to-end delivery from concept through production, mentor engineers, coordinate with plant leadership, IT, cybersecurity, analytics, and operations, and communicate complex concepts clearly to technical and

Qualifications

• Bachelor's degree in Computer Science, Information Systems or related technical field.
• 5+ years of relevant experience.

Responsibilities

• Lead full-stack development of front-end applications, back-end services, APIs, microservices, automation tools, and enterprise-grade manufacturing systems.
• Develop AI-powered solutions including Generative AI applications, intelligent agents, RAG apps, predictive analytics, semantic search, workflows, and other tools for manufacturing operations.
• Drive DevOps and software delivery practices with CI/CD, source control, automated testing, deployment automation, release management, observability, monitoring, and production readiness standards.
• Own end-to-end technical delivery from requirements gathering through deployment, production support, and remediation.
• Lead cross-functional project execution by coordinating scope, timelines, risks, dependencies, priorities, and stakeholder communication across plant, corporate IT, cybersecurity, analytics, and operations teams.
• Provide technical leadership and continuous improvement by mentoring team members, establishing reusable patterns, promoting secure development, and presenting updates to leadership.

Skills

Full-stack development

AI software engineering

DevOps

Education

Bachelor's degree in Computer Science, Information Systems or related technical field

Job description

Inside the Role

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 Corp ME.

This role combines senior full-stack application development, AI software engineering, DevOps automation, data integration, solution architecture, and modern software delivery practices to build scalable applications, APIs, automation frameworks, analytics solutions, and intelligent tools for manufacturing operations.

In addition to strong hands-on technical execution, this role provides project leadership, technical guidance, stakeholder coordination, and end-to-end solution ownership from concept through production deployment. The Senior Engineer works closely with plant leadership, corporate engineering, operations, analytics, IT, cybersecurity, vendors, and business stakeholders to identify business needs, define priorities, manage delivery, and ensure reliable, secure, and maintainable production systems.

This position is expected to operate with a high degree of independence, influence technical direction, coordinate cross-functional initiatives, mentor other engineers, and communicate complex technical concepts clearly to both technical and non-technical audiences.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Position offers a starting salary range of $117,000 - $150,000 USD
Pay offered dependent on knowledge, skills, and experience

• annual bonus program
• 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age
• starting at 4 weeks paid vacation
• 13+ calendar holidays
• 8 weeks paid parental leave
• employee assistance program
• comprehensive healthcare plans and wellness programs
• onsite fitness (at some locations)
• tuition assistance and volunteer paid time off
• short-term and long-term disability plans

What You Drive at DTNA

• Lead full-stack application development by designing, developing, and supporting modern front-end applications, back-end services, APIs, microservices, automation tools, and enterprise-grade manufacturing systems.
• Develop AI-powered solutions including Generative AI applications, intelligent agents, RAG applications, predictive analytics, semantic search, automation workflows, and other intelligent tools that improve manufacturing and business processes.
• Drive DevOps and software delivery practices by implementing CI/CD pipelines, source control strategies, automated testing, deployment automation, release management, observability, monitoring, and production readiness standards.
• Own end-to-end 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 across plant, corporate, IT, cybersecurity, analytics, and operations teams.
• Provide technical leadership and continuous improvement by mentoring team members, establishing reusable patterns and documentation, promoting secure development practices, simplifying processes, improving system reliability, and presenting project updates and technical recommendations to leadership.

Knowledge You Should Bring

• Bachelor's degree in Computer Science, Information Systems or related technical field with 5 or more years of relevant ex