Senior Software Engineer

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.

With our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms.

There has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.

We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.

What You’ll Do

As a Senior Software Engineer, you’ll build the production software that powers AECOM’s AI-driven engineering products, working across backend systems, platform engineering and machine learning systems according to your strengths.

We’re hiring multiple engineers with complementary strengths. No single person is expected to cover everything. Strong software engineering fundamentals, ownership of meaningful production systems and depth in one area matter more than matching every technology in our stack.

You’ll design and build backend services, APIs and data flows; evolve system architecture; and make sound trade-offs in areas such as database design, schema evolution, scalability and performance. You’ll own substantial work from problem definition and design through implementation, deployment and ongoing production support, improving reliability and resolving difficult issues along the way.

Working closely with software and ML engineers, product teams and engineering-domain experts, you’ll help turn research into reliable, production-ready tools. Depending on your background, this may include integrating models into products, building deployment and monitoring capabilities, or optimising AI workloads. Previous professional AI/ML experience is valuable, but is not required for every hire.

Must-Have Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on Python programming skills and experience building production backend services, APIs or other substantial software applications. Familiarity with frameworks such as FastAPI, Flask or Django is useful.
• Demonstrated ownership of technically challenging production systems, from design and implementation through deployment and ongoing improvement. You can explain your personal contribution, key decisions and the outcomes delivered.
• Strong system design and engineering judgement, with experience making practical trade-offs around architecture, data models, reliability, scalability or performance, and diagnosing difficult production problems.
• Strong communication and collaboration skills, with the ability to turn loosely defined problems into practical solutions and drive delivery with limited direction in a lean team.
• Sound software development practices, including automated testing, code review, version control and CI/CD, with a focus on maintainable code and reliable production delivery.

Preferred Skills

• Experience bringing AI/ML capabilities into production, such as model deployment and monitoring, ML pipelines, model serving, or LLM-powered applications and retrieval-augmented generation (RAG).
• Cloud and platform engineering experience with AWS, Azure or GCP; Docker or Kubernetes; Infrastructure as Code such as Terraform; or deployment pipelines such as GitHub Actions.
• Depth in distributed or event-driven systems, asynchronous processing, or data-intensive and high-throughput applications.
• Experience with observability and performance tuning, including tools such as Prometheus, Grafana, ELK or Datadog, or optimising CPU-, GPU- or distributed ML workloads.
• Experience in startups, scaleups or greenfield product development; or familiarity with engineering software, simulation, optimisation or building design automation.

Our Hiring Process

• 25-minute screening call
• Take-home challenge: A hands-on task to assess your problem-solving and technical skills
• Combined technical and cultural interview (in-person)
  • Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge
  • Culture fit: 30-minute meeting with our leadership team

Why Join Us?

• Work on real-world problems where AI creates measurable impact.
• Be part of a team where your work matters, and your ideas become real.
• Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.
• Contribute to making the built environment smarter and more sustainable.

At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.

What makes AECOM a great place to work

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects-both in your local community and on a global scale-that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community-where you have the freedom to grow in a world of opportunity.

We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address [email protected] if you would like to apply through the Disability Confident Interview Scheme.

All your information will be kept confidential according to EEO guidelines.