Senior DevOps Engineer

VYBS is the fastest-growing loyalty platform in mobile gaming, a $100B+ market with over 3 billion players. Millions of players use our app to discover games and get rewarded for playing them, and hundreds of game studios use us to reach their most valuable players. The role. You'll join the data engineering team, owning the data platform that runs VYBS: the pipelines that capture every player action, the warehouse the whole companVYBS is the fastest-growing loyalty platform in mobile gaming, a $100B+ market with over 3 billion players. Millions of players use our app to discover games and get rewarded for playing them, and hundreds of game studios use us to reach their most valuable players. The role. You'll be our first dedicated infrastructure hire, reporting directly to the CTO. You'll own the infrastructure that runs VYBS, including its reliability, security and cost. You'll set the standards, build the platform, and make it easy for engineers and their AI agents to ship to production safely. You won't do it all at once: we'll set priorities together and build it step by step. Why this is a great DevOps role Force multiplier for the team. We move fast with a small team, so the automation and agentic workflows you build multiply what every engineer can do. That gives you a large impact on the business. Infrastructure quality is business-critical. In B2C at our scale, a production incident means lost revenue within minutes. That makes this role central to the company: the reliability standards you set protect the business every day. Scale makes cost an engineering problem. Millions of players generate data volumes that can make costs spike in unexpected places. Finding and fixing those hotspots means real engineering work, and every win shows up directly in our margins. AI-native engineering. Agents write much of our code. You'll make the platform one they can deploy to safely, with clear environments, least-privilege roles and approval gates. Ownership. Small, senior R&D team with light process, so decisions happen in days, not quarters. You'll work directly with backend, data, ML and mobile. What you'll do Platform: Shape the platform across AWS, GCP and Snowflake so that shipping to production is fast, safe and boring, for engineers and AI agents alike. Every change should go through CI/CD with clear environments, reviews and approvals. SRE: Set the reliability bar for R&D and build the culture around it. Define SLOs and error budgets, and build on-call, incident management and observability so problems get caught before players notice. Design for failure with multi-AZ, tested restores and zero-downtime deploys. SecOps: Make security part of how we build, not a checkpoint at the end. Secure access, secrets, network and data by default, and turn every finding into a guardrail so it can't happen again. FinOps: Make cost something every engineer can see and act on. Find where scale is burning money, fix it at the source, and put guardrails in place so it stays fixed. What we're looking for 7+ years in DevOps, SRE or platform engineering, including owning infrastructure end to end. Deep experience running high-scale, highly available production systems on AWS. Experience building agentic workflows and AI-driven automation. You treat security and cost as design decisions, not afterthoughts. You strive for simplicity, and you'd rather remove a moving part than add one. Strong advantage: experience as an early infrastructure engineer at a fast-growing startup. y works from, and the data behind our AI models and business decisions. You'll design the architecture, set the standards, decide what ships, and build the agentic factory that implements it. Why this is a great data engineering role Data is the core of the product. In gaming, data decides what players see, what they earn, and what advertisers pay. The data you build is what the business runs on. Short feedback loops. We have a large, active player base, so the data you deliver drives decisions and product changes within days. Real technical depth. The work includes massive-scale event pipelines, feature data for AI models in production, and data flowing to and from the largest brands in the industry. You build the system that builds the software. Instead of boilerplate, your time goes to data architecture, modeling, trade-offs, and the AI engineering system itself. This is where software engineering is heading, and you'll be doing it now. Ownership. R&D is a small, senior team with light process, and engineers have a real say in architecture. What you'll do Own the data pipeline that processes billions of behavioral events a day from across the mobile gaming industry. Design the data models and metrics layer that the whole company, and its AI agents, rely on to understand the business. Build the agentic factory that implements, monitors and maintains the data infrastructure. What we're looking for 5+ years of hands-on data engineering, including high-volume pipelines you built and ran in production. Strong data modeling and SQL, with experience designing models that are efficient and reliable. Strong Python engineering skills: clean, tested, maintainable code. Experience with a cloud data warehouse such as Snowflake, BigQuery or similar. Advantage: experience building agentic software factories, meaning setups where AI agents build, monitor and maintain systems. Advantage: experience in adtech, gaming or high-traffic B2C, or with data for ML models. Show more Show less