2 days ago
Base Salary
$175k - $225k/yr
Responsibilities
- Influence application and infrastructure teams to prioritize and implement reliability improvements based on postmortems, SLO burn rates, and architectural risk.
- Mentor SREs at all levels, conduct code reviews, pair on reliability investigations, and develop practice standards and career ladders.
- Drive AI-assisted observability and agentic workflows for proactive reliability and operational efficiency.
- Improve latency and throughput through code-level profiling, infrastructure analysis, and targeted recommendations.
- Lead architectural reliability reviews and failure-domain mapping using circuit breakers, timeouts, queue-based load leveling, and graceful degradation.
- Design and validate resilient hybrid infrastructure across on-premises data centers and AWS, including compute, storage, networking, and serverless systems.
- Improve reliability for high-throughput streaming, messaging, distributed data, big-data, analytics, and enterprise storage platforms.
- Partner on Terraform infrastructure-as-code, Kubernetes orchestration, GitOps, deployment pipelines, canary releases, and rollback automation.
- Define and maintain SLIs, SLOs, error budgets, alerting, dashboards, structured logging, and distributed tracing using tools such as Datadog.
- Lead incident postmortems and proactive failure testing, including fault injection, latency injection, chaos experiments, and game days.
Requirements
- 8+ years of software development and site reliability or production engineering experience leading reliability initiatives across complex distributed systems.
- Demonstrated ability to influence application and infrastructure teams without formal authority through technical credibility, data, and collaboration.
- Experience mentoring SREs at every level and leading structured reliability learning initiatives.
- Hands-on observability experience with structured logging, metrics, distributed tracing, alerting, Datadog, Prometheus, Grafana, or equivalent.
- Code-level performance expertise involving hot-path analysis, asynchronous I/O, caching, allocations, query rewriting, and connection-pool tuning.
- Experience with AI-assisted observability, LLM-based coding or operations copilots, and AI-driven runbooks.
- Deep hybrid-cloud expertise involving on-premises infrastructure, AWS, multi-AZ and multi-region resilience, autoscaling, and failover.
- Hands-on experience with distributed, high-throughput data infrastructure, including streaming and messaging systems, distributed NoSQL or in-memory stores, big-data or analytics platforms, and enterprise storage.
- Proficiency with Linux internals, tcpdump, netstat, curl, traceroute, and production system debugging.
- Experience defining and using SLOs, SLIs, error budgets, and budget burn rates to drive engineering prioritization.
- Proficiency with Terraform or similar infrastructure-as-code tools and Kubernetes.
- Strong networking fundamentals covering TCP/IP, DNS, TLS, load balancing, CDN behavior, and distributed-system reliability.
- Experience designing and running chaos engineering, failure injection, game days, and related resilience exercises.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Benefits
- Hybrid schedule based in the New York City office, with three days per week in office and the remainder remote.
- Medical, dental, vision, and disability insurance.
- 401(k), employee assistance program, parental leave, unlimited vacation, and company-paid holidays.
Tech Stack
Categories
Site Reliability
About Nexxen
Nexxen builds programmatic advertising technology—a DSP, SSP, and data platform—used by brands, agencies, and publishers to plan, buy, and monetize TV/CTV and digital video. The public company earns media-buying and platform fees and operates across North America, Europe, and APAC. Headquartered in New York, it is listed in London and focuses on data-driven campaigns across converged media.