This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer (Edge - Networking & Fleet) based in Canada.

As a Software Engineer specializing in Edge networking and fleet infrastructure, you will build and scale the systems that power a large residential device network used for web data extraction. You will work across distributed control planes, data planes, networking services, and fleet management capabilities, helping transform thousands of devices into reliable, production-grade infrastructure. Your work will focus on building a scalable scheduling platform, improving proxy services, and managing devices across Windows, Android, and Linux environments. Collaborating with senior engineers and partner teams, you will tackle complex distributed-systems challenges involving reliability, performance, and network communication. This is an opportunity to take meaningful ownership of critical infrastructure in a remote-first engineering workplace.

Accountabilities

Scale the existing data plane by evolving the command-and-control service into a horizontally scalable fetch scheduler capable of handling 50-100 million requests per day.

Design and build the Fleet Manager control plane, including provider adapters, inventory and health management, configuration, reconciliation, software rollout control, and metrics export to BigQuery.

Develop provider integrations that allow additional device sources to be onboarded through standardized workflows rather than bespoke scripts.

Own and improve the CONNECT proxy gateway, edge session management, IP reputation, proxy leases, and request scheduling in collaboration with other engineering teams.





Engineer secure and reliable networking between control services and residential peers using mTLS, gRPC, long-polling, and streaming over unreliable connections.

Address networking challenges involving NAT, carrier-grade NAT, bandwidth accounting, connection reliability, and resource contention.

Define and maintain service-level objectives for availability, request success, and latency across the Edge route.

Build observability and operational metrics covering peer availability, device drop-off, bandwidth usage, and provider performance.

Implement safe blue/green deployments and software rollouts for control services and edge peers.

Participate in the on-call rotation, lead incident post-mortems, and translate operational findings into improvements.

Produce technical design documents and recommendations for scheduling, fleet management, and failover strategies.

Review technical designs and promote distributed-systems best practices, including consistency, backpressure, idempotency, and limiting failure impact.

Requirements:

At least 5 years of professional Rust experience, including building, deploying, and operating production services end to end.

Demonstrated experience designing and operating distributed systems, such as schedulers, control planes, or stateful services at scale.





Robust understanding of distributed-systems concepts, including consistency, network partitions, backpressure, and idempotency.

Deep networking knowledge covering TCP, TLS, HTTP, connection handshakes, and packet-level behavior.

Practical experience with gRPC and long-lived connections across NAT environments and unreliable networks.

Experience building or operating forward proxies, proxy gateways, or residential/ISP proxy infrastructure.

Understanding of IP reputation, session stickiness, proxy pool health, and traffic routing.

Production operations experience, including defining SLOs and error budgets, building observability, leading incident response, and participating in on-call rotations.

Familiarity with cross-platform Rust development targeting Windows, Linux, and Android, including foreign function interface (FFI) boundaries where needed.

Strong written communication skills and the ability to collaborate effectively within a globally distributed, remote-first team.

Curiosity, analytical thinking, and a practical approach to investigating system behavior under load and resolving underlying causes.

Technical environment:

Languages:

Rust (Tokio, Tonic), C++ (Cronet), Python, and Java.

Protocols:

gRPC, Protocol Buffers, mTLS, HTTP CONNECT, Chromium networking stack, and browserless HTTP clients.

Infrastructure:

Google Cloud Platform (GCP), Kubernetes, Terraform, Oracle Cloud Infrastructure (OCI), and data center environments.

Data and messaging:

Valkey, BigQuery, and Confluent Kafka.

Monitoring and observability:

Prometheus, Grafana, Loki, and OpenTelemetry.

Nice to have:

📌 Software Engineer (Winnipeg)
🏢 Jobgether
📍 Winnipeg