Senior Site Reliability Engineer – Hiring Globally

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🔥 56 minutes ago

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Cognativ

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

🥽 AR/VR

🤖 Artificial Intelligence

Consulting • AR/VR • Artificial Intelligence

Cognativ is an app development agency based in Melbourne, Australia. They combine user experience design, product strategy, and software engineering to deliver mobile and web applications, e-commerce systems, and branded digital experiences. Their specialties include UX and UI design, website and app development (iOS, Android, React Native, React. js, node. js, Python), conversion optimisation, and emerging technologies such as AI/machine learning and AR/VR; they position themselves as quality-focused IT services and consulting partners.

📋 Description

• Own the operational health of computer-vision / AI models and associated services. • Manage reliability and operations, defining SLIs and SLOs for key services. • Ensure observability is trustworthy, improving alert quality and building necessary metrics. • Lead incident response, driving recovery and producing actionable postmortems. • Plan capacity and performance to preempt saturation. • Own business continuity, disaster recovery, and backup strategies. • Engineer software solutions for operational efficiency and reliability. • Govern production change management collaboratively and safely. • Maintain CI/CD pipelines and Terraform configurations for the AWS estate. • Harden security and compliance within the system.

🎯 Requirements

• AWS certification is mandatory. A current AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect – Professional is strongly preferred. • 10+ years in Site Reliability Engineering or production operations at scale. We do not expect mastery of every area below on day one. We expect real depth in several and the ability to ramp quickly on the rest. • Demonstrated SLO/error-budget practice. You have defined SLIs and SLOs, run against an error budget, and used it to make real decisions. • Strong production observability skills. Deep with metrics, logs, alarming, and dashboards (CloudWatch, OpenTelemetry, and/or Prometheus/Grafana/Datadog), and able to build the instrumentation when it does not exist. • Proven incident command. You have led incidents, owned an on-call rotation, and written postmortems that changed how a system behaved. • Capacity planning and performance experience across compute, databases, and a messaging or streaming system (Kafka/MSK ideal). • Disaster recovery ownership: backups, replication, failover, and tested RPO/RTO. • Software engineering ability for automation. Comfortable writing Python, Golang, and Bash to build reliability tooling, not just configure off-the-shelf tools. • Expert with Terraform (or equivalent IaC) and strong Linux administration (shell plus Linux GNU utils), comfortable from cloud to bare-metal/edge. • Database operations experience with PostgreSQL (time-series a plus). • A reliability mindset: you instrument before you guess, and you write the runbook. • Nice to have • Operating GPU workloads and serving computer-vision or ML models in production (CUDA, Deep Learning AMIs, inference scaling). • Apache MSK / Kafka and streaming-data operations (Kinesis, Kinesis Video Streams). • AWS IoT Core at scale: device provisioning, certificates, secure tunnelling. • Managing a fleet of edge / on-premise devices (golden images, remote update, systemd). • Operating and modernizing legacy systems (Java 8, Jetty, CentOS). • Chaos engineering / game-day practice, and capacity modeling. • Familiarity with Bazel in a monorepo; Cloudflare, Cognito/Auth0, API Gateway.