Senior Software Engineer at Aecom USA

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Flask, Django, ML Model Deployment, Monitoring, Docker, CI/CD, GitHub Actions, Agile, Scrum, Kanban, Database Design, System Architecture, Machine Learning Operations, Software Engineering

Industry

Civil Engineering

Description

Company Description 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. Job Description 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 work at the intersection of software engineering and machine learning operations. This role is intentionally broad. We’re hiring multiple engineers with complementary strengths across platform engineering and ML systems. No single person is expected to cover everything. Depth in one area, strong fundamentals, and the ability to collaborate effectively matter more than perfect overlap. Part of the work focuses on core platform engineering: designing and building services, evolving system architecture, improving reliability, resolving issues, and making sound trade-offs in areas such as database design and schema evolution. Another part focuses on ML systems: ensuring models run reliably, efficiently, and at scale, turning research into production-ready tools. This includes deploying, monitoring, and optimizing AI workloads using Python and solid software engineering practices. Qualifications Must-Have Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Solid programming skills in Python (plus experience with frameworks such as FastAPI, Flask, or Django). Hands-on experience with ML model deployment and monitoring in production. Knowledge of containerization (Docker). Experience building CI/CD pipelines (GitHub Actions). Experience working within startups / scaleups. Strong communication skills and a collaborative mindset. Knowledge of Agile delivery models (Scrum/Kanban) and software development best practices. 3+ years of hands-on experience building production-grade systems. Preferred Skills Understanding of optimizing both CPU-bound and GPU-bound workloads. Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack). Experience with Infrastructure as Code (Terraform). Experience with Azure. Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus). Experience in building design automation products within the construction industry. Additional Information Our Hiring Process 25-minute screening call. Coding challenge: A hands-on task to assess your problem-solving and technical skills. Final cultural fit: In-person 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. #LI-CC1 About AECOM AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM. Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too. Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours. 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. State/Province: London, City of Business Group: Corporate Legal Entity: AECOM Business Line: Corporate Work Location Model: On-Site Operating Group: Corporate Primary Location: UK - London, Vox Studios

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Responsibilities

The role involves working at the intersection of software engineering and machine learning operations, focusing on core platform engineering tasks like designing services and evolving system architecture. Another part focuses on ML systems, ensuring models run reliably, efficiently, and at scale by deploying, monitoring, and optimizing AI workloads.