Technology Operations Engineer

Who you are

• 2–4 years of experience in TechOps, DevOps, SRE, Production Engineering, or a similar technical role
• Experience working with production systems in a SaaS or cloud environment
• Comfortable working with Linux, command-line tools, logs, and monitoring
• Experience with scripting or automation and a mindset of "if we do it twice, can we automate it?"
• A structured approach to troubleshooting and solving operational problems
• Proactive attitude towards improving systems, processes, and tooling
• Ability to work collaboratively with engineers across different teams
• Willingness to learn and build deeper expertise in production systems and reliability
• Familiarity with core SRE concepts, such as Service Level Indicators/Objectives (SLIs/SLOs) and error budgets
• Experience with observability platforms such as Grafana, Datadog, Prometheus, or Sentry
• Experience with Kubernetes and GCP
• Experience working with APIs, integrations, CI/CD, or infrastructure automation

What the job involves

• Our SRE / Production Engineering team is responsible for keeping Talon.One reliable, scalable, and easy to operate. We work closely with engineering teams across R&D to improve how we monitor, release, troubleshoot, and run our production systems
• This is a hands-on role for someone who loves solving production-level problems, automating repetitive work, and building pragmatic tooling to make life safer and easier for the engineers around them
• Eliminate Toil: Identify manual or repetitive operational friction across R&D and build clean scripts, automation, and internal tools to solve it permanently
• Pioneer AI-Driven Operations: Design, build, and integrate AI agents to streamline operational workflows, ensuring proper guardrails, monitoring, and human oversight for safe execution
• Level Up Incident Management: Own and optimize our Incident.io workflows, automation, and integrations. Stay closely engaged with incident response and participate in post-incident reviews to identify friction and turn learnings into improvements to tooling, coordination, and processes, without taking on incident responder responsibilities
• Enhance Observability & System Health: Maintain and refine monitoring, alerting, and dashboards across our observability stack. You will dive into logs, metrics, and production data to investigate operational edge cases
• Optimize Workflows & Runbooks: Partner directly with SRE and R&D teams to identify operational pain points, turning messy procedures into clear, automated runbooks
• Support Core Production Systems: Collaborate with SREs on database maintenance tasks, health checks, and release/deployment workflows where production reliability is impacted