Job Description
The role involves designing and developing automated reliability and self-healing systems to ensure the stability and resilience of production environments, while collaborating with engineering teams to improve operational practices and implement AI-driven automation solutions.
Key Responsibilities
- Design and build automated reliability and self-healing systems for production protection
- Own and improve incident management tooling and on-call health
- Develop and evolve observability infrastructure including monitoring, alerting, and performance regression detection
- Contribute to AI-driven operational tooling for autonomous issue detection and remediation
- Identify systemic operational patterns to prevent incidents and reduce operational toil
- Partner with engineering teams to diagnose reliability gaps and improve service stability
- Define and promote operational excellence best practices and standards
Requirements
- 8 years of experience designing and building products in a software engineering team.
- Bachelor’s Degree in Computer Science Engineering or equivalent practical experience.
- 3 years of experience in infrastructure and/or platform engineering-focused teams.
- Expertise in Observability and reliability, operational metrics, and data analysis.
- Proven track record in architecting monitoring frameworks, SLO platforms, and automated response workflows, with experience using Datadog or equivalent observability tooling like New Relic or Grafana.
- Proven experience working on large-scale enterprise software applications.
- Experience in Developer Experience (DevEx) internal portals and designing and implementing solutions/tools that centralize and simplify engineering operations.
- Familiarity with cloud platforms such as AWS, GCP, or similar.
- Experience in implementing AI-driven automation across the software development lifecycle (SDLC) to reduce developer friction, automate repetitive technical tasks, and accelerate time-to-delivery, with routine application of AI tools across workflows.
- Experience writing high-quality code in Go, Python, or equivalent languages focused on infrastructure, deployment, and operations challenges.
- Experience mentoring and supporting engineers and role modeling engineering practices within a technical lead capacity.
- Proactive growth mindset, always seeking ways to improve the status quo.
- Experience with incident management tooling such as Incident.io, PagerDuty, or equivalent.
- Experience with Infrastructure as Code (IaC) tools like Terraform.
- Ability to work remotely within the ET time zone in the US and Canada, as relocation assistance will not be provided.
Benefits & Perks
Annual Base Salary ranging from 154,700 to 208,000 USD
Performance-based bonus variable pay
Equity with no vesting cliff and ongoing refresh opportunities
Flexible, employee-led remote work model
Comprehensive health plans
Parental leave plans
Professional development stipend
Ready to Apply?
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