Staff Site Reliability Engineer

Nexxen•New York, NY

21h•$175,000 - $225,000•Hybrid

About The Position

Nexxen is seeking a Staff Site Reliability Engineer to serve as a principal reliability partner and technical authority across infrastructure and platform teams. The role sets reliability standards and technical direction for the broader SRE practice, working across on-premises and cloud infrastructure and application and infrastructure layers supporting a real-time advertising platform. The engineer proactively identifies systemic risks and drives architectural improvements while respecting teams’ ownership of their platforms. The position is based in Nexxen’s New York City office and follows a hybrid schedule: three days in the office and the remainder remotely. The successful candidate brings a software development background and deep experience operating reliable, high-throughput production systems at scale. They influence through technical credibility and clear communication, mentor reliability engineers, and use incidents and alerts to identify and address systemic issues.

Requirements

At least 8 years of software development and site reliability or production engineering experience, including leading reliability initiatives across multiple teams and measurably improving reliability, availability, and performance of complex distributed systems at scale.
Demonstrated ability to influence without authority and persuade application and infrastructure teams to make reliability-driven changes through technical credibility, data, and collaboration.
A track record of mentoring SREs at every level, including senior engineers, conducting structured learning initiatives, and materially developing engineers’ reliability skills.
Strong observability knowledge, including structured logging, metrics, distributed tracing, and alerting, with hands-on experience using Datadog, Prometheus, Grafana, or equivalent.
Code-level performance expertise, including identifying hot paths and recommending targeted fixes such as asynchronous I/O, caching, allocation reduction, query rewriting, or connection-pool tuning.
Experience with AI-assisted observability and agentic workflows, such as LLM-based coding and operations copilots or AI-driven runbooks, for triage and root-cause analysis.
Deep hybrid cloud expertise across on-premises infrastructure and AWS, including multi-AZ and multi-region resilience, burst auto-scaling, and failover handling.
Hands-on experience with distributed, high-throughput data infrastructure, such as streaming and messaging systems, distributed NoSQL or in-memory data stores, big-data or analytics platforms, and enterprise-grade storage systems.
Strong interest and understanding of failure domains, blast radius, and cascade paths.
Proficiency with Linux internals, network diagnostics such as tcpdump, netstat, curl, and traceroute, and system-level debugging in production.
Experience defining and defending SLIs, SLOs, and error budgets and using budget burn rates to inform prioritization.
Proficiency with infrastructure-as-code tools such as Terraform and container orchestration such as Kubernetes, and understanding of reliability risks introduced by infrastructure changes.
Solid networking fundamentals, including TCP/IP, DNS, TLS, load balancing, CDN behavior, and their effects on distributed-system reliability.
Experience designing and running chaos-engineering exercises and failure-injection game days.
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Responsibilities

Influence application and infrastructure teams by translating postmortem findings, SLO burn rates, and architectural risk signals into prioritized reliability work that teams own and execute.
Mentor and develop SREs at all levels, including senior engineers, through code reviews, pairing on reliability investigations, learning initiatives, practice standards, and career-ladder development.
Help drive Nexxen’s AI strategy for SRE by exploring and championing AI-powered tools for proactive reliability and operational efficiency.
Improve latency and throughput at the code and infrastructure levels by profiling hot paths, identifying inefficient patterns, and making data-grounded recommendations.
Lead architectural reliability reviews and map platform failure domains; promote circuit breakers, network-boundary timeouts, queue-based load levelling, and graceful degradation.
Design and validate reliability across hybrid infrastructure, including on-premises data centers and AWS, covering compute, storage, networking, and serverless technologies while balancing redundancy, headroom, and cost.
Drive reliability for core data infrastructure, including streaming and messaging systems, distributed data stores, big-data platforms, and enterprise storage systems.
Partner with teams on Terraform and other infrastructure-as-code practices, Kubernetes, platform maturity, GitOps workflows, and automation for deployment pipelines, canary releases, and rollbacks.
Define and maintain SLIs and SLOs and strengthen observability using tools such as Datadog, including alerting, dashboards, structured logging, and distributed tracing.
Lead incident postmortems to drive systemic fixes and champion proactive failure testing, fault and latency injection, chaos experiments, and game days.