8th Light
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at 8th Light. Skills: Software Engineering, AI/ML Integration, Consulting, Architecture, Mentorship. Making immediate contributions to projects. Rapidly building trust with clients and team”
What You'll Achieve.
Solve meaningful challenges and drive sustainable growth.; Optimize clients’ digital products.; Deliver solutions we’re truly proud of.; Make an immediate impact on projects.; Deliver high-quality work within deadlines.; Drive forward action items.
Industry & Context.
Remedied architecture-level concerns such as scalability, security, reliability, and performance; Made thoughtful recommendations and set direction in the face of ambiguity; Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients.; Identifying, mitigating, and resolving blockers to team progress
What They're Looking For.
Must Have
Successfully contributed to high-stakes consulting engagements from discovery to production, Written production-quality code using a variety of languages and frameworks, Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served, Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate, Experience building or integrating AI/ML-powered features into products or systems, Used context-appropriate automated testing to inform software design choices and catch bugs, Debugged and refactored pre-existing code to incrementally improve it, Collaborated with teams using Git, MacOS/Linux, and CI/CD, Remedied architecture-level concerns such as scalability, security, reliability, and performance, Contributed to forums that encourage idea sharing, collaboration, and problem solving, Made thoughtful recommendations and set direction in the face of ambiguity, Mentored and shared knowledge with colleagues, Actively sought out and effectively given feedback, Communicated empathically with stakeholders and colleagues, Influenced stakeholders to balance technical considerations with product and user needs
Nice to Have
MLOps: including tools like LangChain for application development and managing the ML lifecycle, Data Engineering: including platforms like Databricks for data processing and analytics, DevSecOps & DevOps, Infrastructure as Code
What You'll Do.
Making immediate contributions to projects
Rapidly building trust with clients and team
Balancing technology choices while delivering high-quality work within deadlines
Contributing to architecture and software design discussions
Collaborating on systems that involve the full ML lifecycle
Generating new potential solutions to challenges
Contributing to formal feedback conversations
Clearly articulating and documenting outcomes
Driving forward action items
Providing status updates
Identifying and evaluating risks
Presenting potential solutions
and resolving blockers to team progress
Pursuing opportunities to further skills
Contributing to team culture
How You'll Work.
Team & Collaboration
Collaborated with teams using Git, MacOS/Linux, and CI/CD; Contributed to forums that encourage idea sharing, collaboration, and problem solving; Mentored and shared knowledge with colleagues; Communicated empathically with stakeholders and colleagues; Collaborating on systems; Working in partnership with team members and clients; Contributing to formal feedback conversations with teams and clients via retrospectives; Regular syncs with your delivery team; Building connections with fellow 8th Lights; Leveraging collaboration opportunities
Communication Scope
Communicated empathically with stakeholders and colleagues; Clearly articulating and documenting outcomes
Process & Methodology
Contributing to high-stakes consulting engagements from discovery to production, Balancing technology choices while delivering high-quality work within deadlines, Driving forward action items, Identifying, mitigating, and resolving blockers to team progress
Full Job Description
Senior Engineer Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) Who We Are At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place. Who You Are You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: Successfully contributed to high-stakes consulting engagements from discovery to production Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models,
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