Responsibilities
Lead, inspire, and mentor a high-performing team of 5-10 software engineers, fostering career growth and technical excellence.
Develop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows.
Drive the team to build, operate, and support production-grade SaaS software, including establishing on-call rotations, defining service level objectives (SLOs), and ensuring a fast and effective incident response process.
Champion a culture of quality by establishing automated code coverage goals, implementing comprehensive telemetry and monitoring for all services, and developing robust testing strategies to ensure the reliability and scalability of our industrial AI solutions.
Coach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain.
Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time.
Collaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation.
Unblock the team and collaborate with stakeholders outside the team to resolve and mitigate problems.
Provide architectural guidance and system design oversight, conduct code reviews, and remain hands-on by contributing to core codebases when needed.
The Impact you bring to Cognite
Bachelor's or Master’s degree in Computer Science or related field, or equivalent practical experience.
10+ years of software engineering experience.
5+ years of direct people management experience with a track record of building, scaling, and retaining strong engineering teams.
Deep technical expertise in modern cloud architectures, scalable microservices, and our core stack: Python backends, TypeScript/React frontends, and Kubernetes deployed across multi-cloud environments (Azure, AWS, GCP).
Understanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations.
Understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy.
Experience building applications on top of AI/ML models or large language models (LLMs).
Strong verbal and written communication skills.
A genuine and keen interest in building the competency of engineers.
A snapshot of our many perks and benefits as a Cogniter
Competitive compensation
401(k) with employer matching
Competitive health, dental, vision & disability coverages for employees and all dependents
Unlimited PTO
Paid Parental Leave Program
Employee Referral Program
Why Cognite
You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
