Platform Engineer

Swim Recruiting; Vancouver; On-site; CAD 83,000 - 96,000; Part time

Job summary

Swim Recruiting is helping a Vancouver-based enterprise hire an Observability Engineer for a 6-month contract. The role centers on instrumenting Datadog and Splunk, with Kubernetes and Terraform/Ansible for deployment and migration work.

You will collaborate with vendors and internal teams to elevate observability maturity while maintaining strong documentation and onboarding support. The position is onsite four days a week in downtown Vancouver, offering hands-on technical ownership and

Qualifications

• 4+ years hands-on experience with observability platforms, specifically Datadog and Splunk for logging.
• 2+ years creating rules and advanced logic for observability, including monitors, alerts, and log processing.
• Experience implementing observability in Kubernetes, including Docker-based workloads and agent deployment across clusters.
• Experience rolling out agent migrations and mass updates using Terraform or Ansible, plus familiarity with Edge Delta or similar observability pipelines for data optimization.

Responsibilities

• Instrument Datadog (APM, Infrastructure, Serverless, RUM) across applications.
• Migrate to modern observability solutions in collaboration with vendor TAMs and internal stakeholders.
• Resolve implementation issues, improve documentation, streamline processes, and train end users across the enterprise.

Skills

Observability Platforms (Datadog)

Splunk

Rules & Monitors

Kubernetes

Docker

Terraform

Ansible

Edge Delta

Tools

Datadog

Splunk

Kubernetes

Docker

Terraform

Ansible

Edge Delta

Job description

6-month contract Observability Engineer role with a global enterprise organization working within their rapidly growing engineering team.

• 6-month contract Observability Engineer role
• Onsite work arrangement, with 4 days a week in office

What & Why:

As a result of investment in technology our global enterprise organization is looking to add an Observability Engineer to their engineering team. This role focuses on overseeing technology monitoring and observability solutions across the organization. Supporting a Technology department of over 1,200 engineers, you'll work as part of an enablement team that collaborates with vendors like Datadog and Splunk to drive observability maturity, establish best practices, and provide training and onboarding support. The position requires hands‑on technical expertise in instrumenting Datadog (APM, Infrastructure, Serverless, RUM) and Splunk, helping application teams migrate to modern observability solutions while working closely with internal stakeholders and vendor TAMs to resolve implementation issues, improve documentation, streamline processes, and empower end users across the enterprise.

Who:

This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy. They are located close to rapid transit in newly renovated offices in downtown Vancouver and have an in office work arrangement, 4 days a week in office.

You:

You will bring the following education, skills and experience to the role:

• 4+ years of hands‑on experience with observability platforms, specifically Datadog (APM, Infrastructure, Serverless, RUM) and Splunk for logging
• 2+ years of experience creating rules and advanced logic for observability, including monitors, alerts, and log processing
• Experience implementing and configuring observability in Kubernetes, including Docker-based workloads and agent deployment across clusters
• Experience rolling out agent migrations and mass updates using Terraform or Ansible, plus familiarity with Edge Delta or similar observability pipelines for data optimization

Compensation:

This role pays between $60-70 per hour.