⚡ New
DevOps Engineer
Newton.co
TorontoFull-timeMid LevelOn-site
Job Description
- We are searching for a DevOps Engineer to improve how we build, deploy and run our systems
- This role works across infrastructure, CI/CD, observability and operational tooling in an AWS-based environment spanning backend, frontend and internal services
- Improve and maintain CI/CD, deployment workflows, and environment management across backend, web, and internal services
- Build, maintain and scale infrastructure across AWS and container based services
- Improve monitoring, alerting, logging, dashboards, tracing, and runbooks
- Work with engineers on safer deploys, rollback plans, and recovery from failures
- Automate repetitive operational work and improve internal tooling
- Maintain and improve infrastructure as code and deployment tooling
- Help improve failover planning, recovery procedures, and backup/restore testing for critical systems
- Support production systems and take part in on-call for critical services
- Manage and scale infrastructure across AWS, ECS, Docker, PostgreSQL, Redis, Celery, and Go/Python-based services
- Lead incident response and postmortems, and drive follow-up actions to reduce repeat issues
- Improve reliability, resilience, and operational readiness across critical systems
- Strong understanding of AWS networking, including VPCs, subnets, route tables, security groups, load balancers, DNS and connectivity between services
- Good understanding of PostgreSQL, Redis, queues, async workers, and scheduled jobs
- Experience with on-call and incident response for business-critical systems
- Experience with CI/CD and infrastructure automation
- Familiarity with Cloudflare or similar edge, networking or traffic management tooling
- Experience with Docker and ECS or Kubernetes
- A practical approach to automation, reliability and day to day operational work
- Experience with Datadog, Prometheus, Grafana, or similar observability tools
- Experience with GitHub Actions, Pulumi, Terraform, or similar tooling
- Comfort with Linux, shell scripting, Python, and Go
- Experience running production systems in AWS or a similar cloud environment
- Strong troubleshooting skills across application, infrastructure, and data layers
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