Tripledot Studios
Technology
SeniorDevOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior DevOps Engineer at Tripledot Studios. Skills: AI/ML infrastructure, DevOps, Cloud Engineering, Kubernetes. Improve data/ML platform. Maintain data/ML platform”
What You'll Achieve.
Models move seamlessly research to production; Systems provide correct SLA/SLOs; Enable timely data access; Enable timely data ingestion; Improve productivity
Industry & Context.
What They're Looking For.
Must Have
5+ years DevOps/SRE/Platform Engineer, Kubernetes production operation, Cost-aware infrastructure decisions, Solid Terraform experience, Deliver data/AI/ML solutions AWS, Own CI/CD pipelines, Cloud/Kubernetes security fundamentals, IAM/RBAC, Secrets management, Network policies, Integrate security checks CI/CD, Build dashboards and alerts, Solid incident response experience
Nice to Have
Experience in gaming industry, Working knowledge of GCP, Familiarity deploying Airflow, Familiarity deploying Trino, Familiarity deploying Spark, Familiarity deploying Kubeflow, Tweak Airflow for performance, Tweak Trino for performance, Tweak Spark for performance, Tweak Kubeflow for performance, Understanding of ML Ops
What You'll Do.
Improve data/ML platform
Maintain data/ML platform
Support AI/ML initiatives
Ensure model deployment
Provide AI model access
Ensure AI tool access
Create monitoring tools
Create alerting tools
Ensure system SLA/SLO
Implement engineering best practices
Advocate engineering best practices
Use infrastructure as code
Ensure cross-studio access
Ensure cross-studio security
Enable timely data access
Enable timely data ingestion
Enable testing environments
Track deployed application usage
Identify improvement areas
Optimize resource usage
Keep up with technologies
Keep up with best practices
Keep up with AI productivity tools
How You'll Work.
Team & Collaboration
Group central teams; AI/ML engineers; Data engineers; Analysts; Product owners; Data teams; Engineering teams; Product teams; Group IT; Engineering; TechOps; Security
Full Job Description
Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. Group role reporting to the IT team The role will focus on AI/ML infrastructure for various group use cases from proprietary models training to efficient 3rd party tool running environments etc. This role will be working with all Group central teams (Marketing, Finance, HR, AI, IT). Role Overview You will build and maintain the high-performance infrastructure required to train and deploy AI models that impact millions of players in real-time, as well as improve productivity of everyone at Tripledot. You will serve as a bridge between the technical solutions that are created by our teams and our live game engines, as well as creating and maintaining infrastructure for internal IT needs. Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. Within group IT, you'll partner with Engineering, TechOps, and Security to deliver the infrastructure and tooling that powers our central business functions: gaming, finance, marketing, legal, people ops, and beyond. The first initiative you’ll be taking part of is the expansion of a data/ML Platform to support ML engineers and data scientist
Applying for this Senior DevOps Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Tripledot Studios?
Real rants from real employees. Read before you apply.