Senior Full Stack Engineer
Kohort|Posted 5 days ago
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Skills and experience
Location and salary
Role description
About Kohort
Kohort is the leading machine learning platform for mobile gaming user acquisition optimisation and financial planning. We provide game studios with investment-grade LTV predictions using petabyte-scale data and machine learning.
We are a group of gaming and data experts from King, Sensor Tower, Tripledot, Mistplay, Bloomberg and Football Radar. Our clients range from large, listed developers and publishers to up-and-coming start-ups building at the cutting edge of mobile gaming.
We add value to customers by helping them optimise UA spend on a day-to-day basis and then creating financial plans to accomplish strategic finance goals - from VC raises to IPO prep.
Our platform is investment grade; to date, we are the analytics partners of tier-1 VCs such as Index and CVC, and managed $8bn in deal value.
Why Kohort
Career acceleration: We are accelerating as only a startup can. Join us in a zero-politics, no-drama, high-energy, impact-focused environment on the ground floor.
Do the defining work of your career: We are working on a $6bn problem. That’s how much UA spend is wasted in mobile gaming each year. Did that make your blood boil? Sounds crazy? Wasteful? Let’s fix it together.
We live and breathe gaming: You’ll get to work with the biggest game studios and on the biggest gaming PE and VC deals. We also, of course, have frequent COD Mobile competitions.
Your Role
As a Senior Full Stack Developer at Kohort, you’ll be at the heart of our technology, ensuring that our platform operates seamlessly at scale. You’ll work alongside data scientists, product managers, and fellow developers to build and maintain the robust backend and frontend systems that drive our ML-powered analytics.
Product Developer: Design and implement complex features, focusing on understanding the customer problem and developing simple solutions.
Lead: Take responsibility for scoping, planning and estimating new features and unblocking and enabling the team to deliver quality products
Performance Optimization: Identify and resolve backend bottlenecks to build and maintain a high-performing platform.
Learn: Proactively grow your knowledge of the game analytics domain and the tech stack we use now and could use in future.
We are a pre-Series A startup. So we know our domain and the problem we solve, but we want your help in getting there. Part of this role is being a startup operator, executing your work and helping build the company simultaneously.
Requirements
Location: Remote-first (Cape Town, Johannesburg, or London), with access to in-office collaboration in your city and several company-wide gatherings throughout the year.
Experience: 5+ years of experience in hands-on development. Experience in gaming or Adtech is a bonus.
Education: Bachelor’s degree or higher in Computer Science, Engineering or related field.
Technical Proficiency:
Expertise in one or more modern backend programming languages (e.g., Python, Java, Go).
Experience with data engineering pipelines and API design. Experience with orchestration tools like Dagster, web frameworks like Node.js and frontend frameworks like React is a bonus.
Strong understanding of data-intensive systems, SQL databases both OLTP and OLAP and scalable architectures.
Experience with AI coding assistants and a strong desire to learn how to use them effectively.
Good familiarity with container orchestration and cloud platforms.
Mindset and Soft Skills:
A proactive, self-driven attitude with a penchant for problem-solving in a fast-paced startup environment.
A pragmatic, outcome-oriented approach and a passion for clean, maintainable code.
Excellent communication and collaboration skills with the ability to work with cross-functional teams and senior management.
What you’ll receive
Competitive salary
Employee Share Scheme
Income protection and Life cover
Wellbeing rewards
Employee Assistance Program
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About Kohort
What We Do
Kohort is the leading machine learning platform for mobile gaming user acquisition optimisation and financial planning. We provide game studios with investment-grade LTV predictions using petabyte-scale data and machine learning.
We are a group of gaming and data experts from King, Sensor Tower, Tripledot, Mistplay, Bloomberg and Football Radar. Our clients range from large, listed developers and publishers to up-and-coming start-ups building at the cutting edge of mobile gaming.
We add value to customers by helping them optimise UA spend on a day-to-day basis and then creating financial plans to accomplish strategic finance goals - from VC raises to IPO prep.
Our platform is investment grade; to date, we are the analytics partners of tier-1 VCs such as Index and CVC, and managed $8bn in deal value.
Why Work For Us
We consist of industry veterans and experienced tech company founders with successful venture exits. Our founding team consists of:
We've landed globally-known companies and been invested into by large US and UK VCs
Our Culture
Career acceleration: We are accelerating as only a startup can. Join us in a zero-politics, no-drama, high-energy, impact-focused environment on the ground floor.
Do the defining work of your career: We are working on a $6bn problem. That’s how much UA spend is wasted in mobile gaming each year. Did that make your blood boil? Sounds crazy? Wasteful? Let’s fix it together.
We live and breathe gaming: You’ll get to work with the biggest game studios and on the biggest gaming PE and VC deals. We also, of course, have frequent COD Mobile competitions.
Our Engineering Processes
ML engineers own the full lifecycle: from data exploration and model prototyping to deployment, monitoring, and iteration in production. We ship fast using a pragmatic, CI/CD-driven process with strong testing, observability, and model/version control. Teams operate in vertical squads with product, design, and data science, focused on delivering measurable impact. We balance velocity and rigor — building reusable ML systems, not one-off pipelines, and iterating quickly based on real user feedback.
Our Hiring Process
We perform an initial interview to gauge fit with Head of Engineering/Data Science, followed by 2 technical interviews, followed by a interview with the C-suite.
AI Focus
ML and AI are the core of what we do. We have a big drive to continually adjust to the new reality and adopting all the latest tools, thinking and building our own Agents
Perks at Kohort
Tech Stack
application and data











utilities






dev ops










business tool


