Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. SDG solves the problems of loneliness, isolation, and disconnection, transforming virtual intimacy into the new normal. SDG products redefine how people interact and connect with one another.

Our portfolio includes social entertainment platforms designed to connect people online across cultures and regions. This includes globally recognised brands such as DateMyAge, Dating.com, EuroDate, Dil Mil and Cupid Media. SDG has a presence in more than 150 countries.

We bring together a team of like-minded people and IT professionals specialising in the creation and development of globally impactful social discovery products. Our international team of 1,000+ professionals and digital nomads works across the world. Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations.

We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are looking for a Senior DevOps Engineer/ MLOps Engineer .

Your main tasks will be:

• Support and development of ML/LLM infrastructure in dev and prod;
• Deployment and maintenance of inference services for ML models;
• Building a fault-tolerant and scalable infrastructure for high-load environments;
• Configuring and maintaining CI/CD for ML and backend solutions;
• Working with GPU infrastructure: efficient resource utilisation, GPU isolation, and partitioning (A100/H100);
• Collaborating with the DS team and backend developers (.NET) to deploy services (including models) to production.

We expect from you:

• Linux

• Docker

• Kubernetes

• CI/CD (GitHub)

• IaC (Terraform / Ansible / Helm)

• Experience with GPU infrastructure and the CUDA / NVIDIA stack

• Understanding of how ML/LLM works

• Experience with GPU partitioning / MIG (A100/H100) is a major plus

• Monitoring and logging: Prometheus, Grafana, ELK / OpenSearch, or similar tools

• Experience with AWS

• Understanding of networking, fault tolerance, and scaling

• Experience with GPU partitioning / MIG (A100/H100) is a major plus

• Experience integrating with a .NET backend is a plus

• Working knowledge of Python is a plus

What do we offer:

• REMOTE OPPORTUNITY to work full-time;
• Vacation 28 calendar days per year;
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants for positions in the company;
• 50% payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will pay up to $1,000 gross per employee per year. This can be spent on self-purchase of health insurance or on doctors’ fees for yourself and close relatives (spouse, children);
• Workplace organisation. The company provides all employees with an equipped workspace and all necessary equipment (table, armchair, Wi-Fi, etc.) in our offices or co-working locations. At the other locations, the company provides reimbursement for workplace costs up to $1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years.
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.