IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada.
With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in.
As a Senior Software Engineer, you will design, build, deploy, and operate production systems that power IREN’s AI services and platform infrastructure.
This is a full-lifecycle engineering role. You will independently own services from API definition and backend implementation through Kubernetes deployment, observability, and production operations. You will work across service boundaries—sometimes writing application code, sometimes improving platform tooling, and sometimes debugging live systems in production.
This role is ideal for engineers who are comfortable operating across backend systems, distributed infrastructure, and cloud-native platforms, and who take responsibility for the reliability and performance of the systems they build.
Job requirements
End-to-End Software Ownership
- Design, implement, and operate production software systems from initial design through long-term maintenance.
- Own services across environments (local, pre-prod, and production), including deployment via GitOps workflows (e.g.,ArgoCD).
- Make pragmatic architectural decisions that balance performance, reliability, and maintainability.
- Take responsibility for production health, on-call participation, and continuous improvement of owned systems.
Backend & Service Engineering
- Build high-performance backend services and APIs supporting multi-tenant, distributed workloads.
- Design and evolve API-first interfaces (REST and/orgRPC), including schema design, versioning, and client integration.
- Implement reliable inter-service communication patterns, including retries, backpressure, idempotency, and message processing.
- Integrate with data stores, message queues, and streaming systems as required by application workflows.
Platform & Cloud-Native Deployment
- Deploy andoperateservices on Kubernetes using modern cloud-native practices.
- Define andmaintaininfrastructure using Infrastructure-as-Code (Terraform or equivalent).
- Work within CI/CD pipelines to enable safe, repeatable builds and deployments.
Reliability, Performance & Observability
- Instrument services with metrics, logs, and tracing to ensure operational visibility.
- Diagnose and resolve issues across application, infrastructure, and networking layers.
- Participate in incident response, root-cause analysis, and post-incident improvements.
- Continuously improve system performance, scalability, and resource efficiency.
Job responsibilities
Technical Skills
- 5+ years of experience building and operating production software systems.
- Strongproficiencyin at least one systems or backend language (Go, Python, Rust, Node).
- Solid understanding of distributed systems fundamentals (concurrency, consistency, fault tolerance).
- Experience building and operating API-driven services (REST,gRPC).
- Hands-on experience deploying services to Kubernetes.
- Familiarity with Infrastructure-as-Code tools such as Terraform.
- Experience with cloud platforms (AWS, GCP) and core services (compute, networking, IAM).
- Working knowledge of observability practices and tooling (metrics, logging, tracing).
Soft Skills & Engineering Mindset
- Comfortable owning problems end-to-end with minimal oversight.
- Clear communicator who works effectively across engineering, platform, and infrastructure teams.
- Pragmatic decision-maker who values operational simplicity and reliability.
- Curious and adaptable, with a willingness to learn new technologies and domains.
- Strong sense of accountability for production systems.
Bonus Qualifications
- Exposure to AI systems, LLM tooling, vector databases, or inference serving.
- Experience with Kusto-based storage and query layers
- Jinja-based templating and generation workflows
- Grafana visualization, Prometheus and experience with time-series databases.
Benefits
Compensation
- The expected base salary for this role starts at CAD$135,000 - 155,000/annum.
- Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.
- Total Compensation package may be inclusive of annual incentive bonus, and equity (long-term incentive)
- Medical, dental, and vision insurance coverage – 100% company paid for employees and dependents
- Company-paid life and disability insurance
- Voluntary life and critical illness coverage available
- Employee Assistance Program and virtual health care platform
- RRSP with company match
- Voluntary TFSA
- 3 weeks annually for vacation and paid holidays
- Opportunities for advancement and internal mobility
- Training and personal development opportunities
- Company events and team-building activities
Podtech Data Centers Inc., the employing entity and proud member of the IREN Group is an equal opportunity employer that is committed to creating an inclusive workplace. We evaluate qualified applicants without regard to race, colour, religion, age, sex, sexual orientation, gender identity, genetic information, national origin, disability, veteran status, and other legally protected characteristics.
This job will remain posted until filled. While we appreciate all applications we receive, we are only able to contact candidates under consideration.
By applying for this position and submitting your resume and application materials, you consent to the processing of your personal information in accordance with our Job Applicant Privacy Statement available on our website at www.iren.com.
