Job Description
The Senior Software Engineer II will design and develop automated reliability and self-healing systems, improve incident management and observability infrastructure, and collaborate with engineering teams to enhance system stability and operational efficiency in a large-scale IoT platform.
Key Responsibilities
- Design and build automated reliability and self-healing systems for production protection, including rollbacks, safeguards, and fault mitigation.
- Own and improve incident management tooling and on-call health, reducing alert noise and surfacing actionable signals.
- Develop and enhance observability infrastructure such as monitoring, alerting, SLOs, and performance regression detection.
- Contribute to AI-driven operational tooling for autonomous issue detection, corrective actions, and self-recovery.
- Identify systemic operational patterns to prevent incidents and reduce operational toil.
- Partner with product engineering teams to diagnose reliability gaps and promote best practices for service reliability.
- Define and implement operational excellence standards, guardrails, and scorecards to ensure reliable service delivery.
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 on infrastructure and/or platform engineering focused teams
- Expertise in Observability and reliability, operational metrics and data analysis
- Proven track record architecting monitoring frameworks, SLO platforms, and automated response workflows
- Experience with Datadog or equivalent observability tooling like New Relic, Grafana
- Proven experience working on large-scale enterprise software applications
- Experience in Developer Experience (DevEx) and Internal Portals 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 in workflow
- Experience with writing high-quality code in Go, Python, or equivalent 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
- Strong communication skills and desire to collaborate across teams
- Experience with incident management tooling such as Incident.io, PagerDuty, or equivalent
- Experience with Infrastructure as Code (IaC) tools like Terraform
- Legal right to work at the company and in the specified work location, if applicable
Benefits & Perks
Above-market total compensation including base salary, performance-based bonus, and equity
Flexible, employee-led remote work model with options for in-office or hybrid work
Comprehensive health and parental leave plans
Professional development stipend
Ready to Apply?
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