Jobs · Engineering · Nevada

Senior Software Engineer, Site Reliability Engineering

Ridgeline · Reno, NV · 1 wk ago
HybridEngineering$153k–$210k/yrFull-time

About the role

Ridgeline is the industry cloud platform for investment management. Founded by visionary tech entrepreneur Dave Duffield, we aim to revolutionize the industry with bold innovation and human connectivity. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry.

Responsibilities

  • Improve the reliability, availability, and performance of Ridgeline's mission-critical production SaaS platform.
  • Build automation that measurably increases engineering velocity while reducing operational toil.
  • Own and improve production observability through metrics, structured logging, distributed tracing, dashboards, and actionable alerting.
  • Design and enhance CI/CD pipelines, deployment automation, progressive delivery strategies, and rollback mechanisms.
  • Define and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget practices to proactively manage reliability.
  • Identify capacity constraints and reliability risks before they impact customers.
  • Participate in an on-call rotation, triaging production issues, coordinating incident response, and driving issues to resolution with very infrequent after-hours support.
  • Lead blameless postmortems and implement long-term improvements that strengthen platform resilience.
  • Partner with software engineers on infrastructure design reviews to build highly operable, scalable services.
  • Develop Infrastructure as Code solutions using Terraform and AWS best practices.
  • Collaborate across a distributed engineering organization while fostering a culture of ownership, transparency, learning, and continuous improvement.

Requirements

  • 3–6 years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or a related discipline.
  • At least 2 years supporting mission-critical production SaaS workloads running on AWS.
  • Hands-on experience with AWS services including EC2, ECS or EKS, RDS, S3, IAM, CloudWatch, and managed database or messaging services.
  • A strong understanding of observability, including monitoring, alerting, distributed tracing, and production diagnostics.
  • Experience designing or significantly improving CI/CD pipelines using tools such as GitHub Actions, CircleCI, Buildkite, or similar platforms.
  • Experience with deployment strategies including blue/green, canary, or progressive rollouts.
  • Proficiency in Python, Go, Bash, or another scripting language used for automation and tooling.
  • Experience implementing Infrastructure as Code using Terraform.
  • Comfortable participating in an on-call rotation and leading incident response with composure.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to make measurable improvements to platform reliability, operational efficiency, or developer productivity.
  • Strong analytical and troubleshooting skills with a passion for solving complex technical challenges.
  • A collaborative mindset with a desire to learn, mentor others, and contribute to a positive engineering culture.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or a related technical discipline.

Skills

  • Experience with Kubernetes and Helm.
  • Familiarity with chaos engineering or fault injection practices.
  • Experience building or contributing to SLO and error budget programs.
  • Working knowledge of Kotlin, Node.js, or TypeScript.
  • Experience supporting highly distributed cloud-native applications.

Benefits

  • Compensation range: $153,000 - $210,000.
  • Company Stock Plan participation for eligible employees.
  • Unlimited vacation.
  • Educational and wellness reimbursements.
  • $0 cost employee insurance plans.

Pay

The cash compensation amount for this role is targeted at $153,000 - $210,000. Final compensation amounts are determined by multiple factors, including candidate location, candidate experience and expertise, and may vary from the amount listed above.

Schedule

Hybrid schedule.

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