Terawatt Infrastructure - Senior DevOps Engineer

Remote - San Francisco, California, Toronto, Ontario, Canada$148k - $170k+ Equity4w ago

Remote Senior NA Cloud Computing Artificial Intelligence Senior DevOps Engineer Python Kubernetes Team Management MongoDB PostgreSQL

Requirements

• 5+ years of experience building and operating high availability production software systems, preferably in DevOps or platform engineering teams. • Experience building and maintaining scalable cloud-based infrastructure, including services running in managed Kubernetes (EKS). • Experience building or maintaining CI/CD pipelines (e.g., GitHub Actions) to support reliable software delivery. • Experience leading or contributing to SRE or DevOps initiatives supporting production cloud platforms. • Experience with observability frameworks and tools (e.g., OpenTelemetry, Grafana, or similar platforms). • Experience working with managed databases such as PostgreSQL, MongoDB, or similar systems. • Strong communication skills and the ability to collaborate effectively across engineering, product, and infrastructure teams. • Experience working with multi-region AWS infrastructure and Kubernetes (EKS) at scale. • Experience improving security and compliance practices through automation and internal tooling. • Experience implementing or scaling observability standards using OpenTelemetry and tools like Grafana Cloud. • Experience maintaining or scaling working with data infrastructure, such as Databricks, Kafka (MSK), or similar streaming/data platforms. • Proficiency in Python or NodeJS. • $148,000 - $170,000 a year • $125,000 - $160,000 CAD • Toronto, Ontario, Canada / Remote • Compensation for this role is determined by several factors, including the cost of labor in specific geographic markets, and these ranges are intended to provide a helpful reference. The actual compensation offer will be based on the candidate’s location, skills, level of expertise and experience, and internal equity considerations. In addition to base salary, we offer a comprehensive benefits package and, where applicable, performance-based incentives. • We are building a team that represents a variety of backgrounds, perspectives, and skills. At Terawatt, we continuously strive to foster inclusion, humility, energizing relationships, and belonging, and welcome new ideas. We're growing and want you to grow with us. We encourage people from all backgrounds to apply. • If a reasonable accommodation is required to fully participate in the job application or interview process, or to perform the essential functions of the position, please contact [email protected]. • Terawatt Infrastructure is an equal-opportunity employer. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities

• Contribute to the evolution of our cloud infrastructure using Terraform, supporting the build-out of resilient and scalable systems to support business growth. • Maintain helm charts and deployment patterns that enable teams to manage the lifecycle of their services while adhering to established deployment standards. • Build and maintain CI/CD pipelines using GitHub Actions to support engineering teams in owning their application deployment process. • Strengthen cloud and network security using industry-standard tools to detect vulnerabilities and anomalies, and help prevent suspicious or malicious activity. • Advanced observability practices using frameworks such as OpenTelemetry (OTel) and tools like Grafana Cloud for monitoring and alerting across services and infrastructure. • Develop tooling that supports both local and remote container-based cloud development workflows. • Create and automate simulated production scenarios used for testing during development and validating production releases. • Design and manage infrastructure that supports machine learning model training and deployment, ensuring scalable compute resources for ML workloads. • Partner with the Data team to manage core data infrastructure, including our Databricks data lake and Kafka event streams (Aiven/AWS) while advising on scalable data architecture and infrastructure improvements. • Contribute to building a highly available, web-based depot operations platform that supports the future of EV charging using NodeJS. • Participate in a 24/7 on-call rotation to support the reliability of production systems.