Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Platform Backend Engineer — Go/Rust &amp; Distributed Systems based in Canada.
This is a high-impact backend engineering role focused on building the core platform services that power workflow execution, identity, event routing, secrets management, and audit infrastructure. You will work hands-on with Go or Rust to develop reliable, secure, and scalable distributed systems used by engineering teams and AI-driven workloads. The role combines event-driven architecture, multi-tenant platforms, cloud security, and production reliability. You will help design systems where correctness, observability, and operational resilience are essential. The environment is fast-paced and engineering-led, with significant ownership over architecture and production outcomes. This is an opportunity to solve complex infrastructure challenges while shaping a platform used at global scale.
Accountabilities
<ul>
<li>Build, deploy, and operate backend platform services supporting API access, Kafka-based event routing, workflow execution, machine identity, secrets management, and immutable audit records.</li>
<li>Design and implement event-driven workflows that transform webhooks, alerts, and platform events into durable executions using technologies such as Kafka and Temporal.</li>
<li>Develop secure, pluggable secrets-management and KMS abstractions supporting multiple cloud providers, customer-level cryptographic isolation, envelope encryption, and bring-your-own-key models.</li>
<li>Implement fine-grained capability and authorization controls for customers, workflows, operations, and service-to-service interactions.</li>
<li>Own GitOps-based deployment workflows for versioned workflow definitions across isolated customer environments.</li>
<li>Develop onboarding automation covering identity provisioning, compliance configuration, and customer-specific key-management setup.</li>
<li>Build secure connector services for third-party APIs, incorporating scoped access, managed credentials, request validation, and pre-execution audit logging.</li>
<li>Improve platform observability, performance, reliability, failure recovery, and production readiness through structured monitoring and incident-response practices.</li>
<li>Contribute to architecture and engineering decisions around distributed systems, security, multi-tenancy, and operational resilience.</li>
</ul>
Requirements
<ul>
<li>Proven professional experience building and operating production backend services using Go or Rust.</li>
<li>Strong experience designing event-driven distributed systems with Kafka or similar technologies, including retries, idempotency, replay, and at-least-once delivery.</li>
<li>Experience implementing authentication and authorization using OAuth 2.0, OIDC, token lifecycle management, or fine-grained access controls.</li>
<li>Practical experience with encryption and key-management solutions, including cloud KMS platforms, envelope encryption, or key-hierarchy architectures.</li>
<li>Experience operating multi-tenant production systems, with hands-on knowledge of structured logging, metrics, distributed tracing, and incident response.</li>
<li>Experience with Temporal or another durable workflow orchestration platform is a strong advantage.</li>
<li>Familiarity with identity platforms such as Zitadel, Keycloak, Auth0, Okta, or equivalent technologies.</li>
<li>Experience with ClickHouse or another columnar, append-only, or audit-oriented data store is beneficial.</li>
<li>Knowledge of GitOps, CI/CD, Kubernetes, and infrastructure-as-code practices.</li>
<li>Experience integrating enterprise platforms such as MSP, PSA, RMM, security, or Microsoft 365 APIs.</li>
<li>Understanding of security and compliance requirements in environments subject to frameworks such as SOC 2, HIPAA, or CMMC is advantageous.</li>
<li>Experience developing multi-cloud services across AWS, Azure, or GCP is a plus.</li>
<li>Strong problem-solving, ownership, communication, and collaboration skills, with the ability to operate effectively in a high-growth engineering environment.</li>
</ul>
Benefits
<ul>
<li>Competitive base salary of CAD $160,000–$240,000 per year, depending on location, experience, knowledge, skills, and qualifications.</li>
<li>Eligibility for benefits and additional rewards based on individual impact and role.</li>
<li>Potential additional incentive opportunities for eligible positions.</li>
<li>Full-time employment in a high-impact backend engineering role.</li>
<li>Opportunity to work with modern technologies across distributed systems, cloud infrastructure, AI workloads, security, and event-driven architectures.</li>
<li>Exposure to complex, multi-tenant and multi-cloud production environments.</li>
<li>Opportunity to collaborate with engineering teams building platform capabilities used across a global technology ecosystem.</li>
<li>Inclusive workplace with equal employment opportunities and a focus on innovation, accountability, and continuous improvement.</li>
</ul>
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Platform Backend Engineer — Go/Rust & Distributed Systems

Platform Backend Engineer — Go/Rust & Distributed Systems

This job is no longer available

Talents

Recruiters

About