Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Scopely is looking for a Senior Platform Engineer (Reliability) to join a new truly unique multiplayer strategy game in Spain, Ireland, Portugal or the UK on a remote or hybrid basis. We can support with visa sponsorship and relocation assistance from any location.
Задачи
Messaging Systems Ownership: Operate, monitor, and continuously improve our messaging infrastructure — with a current focus on NATS cluster and NATS JetStream — ensuring it is reliable, observable, and well-understood by the teams that depend on it
Signals & Observability: Design and own the observability layer for distributed backend systems, defining the signals (metrics, traces, logs) that make operational problems visible and actionable — and pushing for their adoption where they don't yet exist
Cross-functional Diagnosis: Sit at the intersection of infrastructure and backend engineering: correlate infrastructure signals (IOPS, latency, resource saturation) with application behaviour (message throughput, consumer lag, retry storms) to diagnose root causes and guide the right teams toward the right fixes
SLOs & Error Budgets: Define, implement, and maintain SLO related frameworks for backend services and messaging pipelines, making reliability measurable and helping teams make informed trade-offs between velocity and stability
Reliability as Internal Product: Build and maintain reliability tooling, runbooks, and operational frameworks as internal products — enabling backend and infrastructure engineers to self-serve on operational concerns rather than creating dependency on SRE
Partner with backend, infrastructure, and product engineers to shape reliability standards, share operational context, and influence architecture decisions before they become production problems
Incident Management: Lead or contribute to incident response across the messaging and backend layers, drive postmortems to systemic fixes, and embed preventative improvements into engineering workflows
Code Literacy & Engineering Collaboration: Navigate the infrastructure and backend codebases confidently
identify poorly instrumented services, inadequate infrastructure architecture, missing error handling, or patterns that create operational risk, contributing and improving in close collaboration with other engineering teams
Требования
Strong background in Site Reliability Engineering, production operations, or backend engineering with a significant operational focus
Hands-on experience operating NATS and/or NATS JetStream in production — or equivalent deep experience with distributed messaging systems such as Apache Kafka, AWS Kinesis, or similar
Regardless of the system, experience with Leader Election, RAFT consensus, log replication, are essential
Ability to navigate and reason about application codebases (e.g
C#, Go, Python, or similar) while being capable of identifying instrumentation gaps, operational anti-patterns, and code-level root causes
Strong observability experience: designing and implementing metrics, logs, and traces strategies across distributed systems
Experience debugging complex distributed systems, particularly across the boundary between infrastructure and application layers
Solid understanding of cloud infrastructure (AWS preferred) and containerized workloads (ECS, Kubernetes/EKS, or equivalent)
Strong communication skills — able to translate between infrastructure and application engineers and articulate operational risk to non-technical stakeholders
Infrastructure as Code First - You believe in managing infrastructure, SLOs, monitors, dashboards, and others, primarily through code rather than manual configuration
You understand the benefits of IaC and advocate for them
Будет плюсом
Direct experience with NATS JetStream specifically — stream configuration, consumer groups, retention policies, delivery guarantees
Experience with Datadog or equivalent for observability at scale
Exposure to database-level operational concerns (query performance, connection pooling, replication lag), as well as exposure to data modeling
Experience mentoring engineers or driving reliability culture across teams
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greenhouseОсновная публикация · 2026-01-28
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