Nexxen The Staff Site Reliability Engineer at Nexxen sets reliability standards and technical direction across infrastructure and platform teams. This role drives architectural improvements and mentors engineers to improve reliability practices.
Responsibilities
Influence application and infrastructure teams across the engineering org on the reliability changes that matter most, translating postmortem findings, SLO burn rates, and architectural risk signals into concrete, prioritized engineering work that teams own and execute.
Mentor and develop SREs at every level, including senior engineers, providing structured code reviews, pairing on complex reliability investigations, and building the practice standards and career ladder that raise the reliability bar across the org.
Help drive Nexxen's AI strategy within the SRE space, exploring and championing AI-powered tooling to strengthen proactive reliability practices and operational efficiency.
Drive latency and throughput improvements at both the code and infrastructure level, profiling hot paths, identifying inefficient patterns, and producing specific, actionable recommendations grounded in data.
Lead architectural reliability reviews and map failure domains across the platform, championing patterns such as circuit breakers, timeouts at every network boundary, queue-based load levelling, and graceful degradation, so failure is contained, not cascading.
Design and validate reliability across our hybrid infrastructure, on-prem data centers and AWS, spanning compute, storage, networking, and serverless technologies, balancing redundancy and headroom against infrastructure cost.
Drive reliability for our core data infrastructure, including high-throughput streaming and messaging systems, distributed data stores, big-data platforms, and enterprise storage systems, so these hold up under real-time, high-volume load.
Partner with teams on infrastructure-as-code (Terraform) and platform maturity, container orchestration (Kubernetes), and GitOps workflows, and automate repetitive operational work across deployment pipelines, canary releases, and rollback procedures.
Define and maintain SLIs and SLOs, and strengthen observability across the stack using tools like Datadog, including alerting, dashboards, structured logging, and distributed tracing, so engineers have the signal they need to understand production state before, during, and after incidents.
Lead the incident postmortem process to drive systemic fixes, and champion proactive failure testing, fault and latency injection, chaos experiments, and game days that expose weaknesses before production does.
What You'll Bring
8+ years of software development and site reliability or production engineering experience, including a track record of leading reliability initiatives across multiple teams and measurably improving reliability, availability, and performance of complex distributed systems at scale.
