Software Engineer (Edge - Networking & Fleet)

Jobgether; Osterreich; A distancia; PEN 349.000 - 503.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first flexibility

Flexible working hours

International collaboration

Global team events

Open-source tooling

Descripción de la vacante

Jobgether is partnered with a Austria-based team seeking a Software Engineer (Edge – Networking & Fleet). You will design and scale edge networking and fleet infrastructure, building a scalable scheduling platform, proxy services, and device management across Windows, Android, and Linux.

Collaborate with senior engineers on distributed systems challenges, in a remote-first environment. You will own network reliability, implement secure services, and drive observability with KPI-focused metrics

Formación

• At least 5 years of professional Rust experience, including production services.
• Experience designing and operating distributed systems at scale.
• Strong understanding of distributed systems concepts and networks.
• Practical experience with gRPC and long-lived connections across NATs.
• Experience building or operating proxy infrastructure (forward proxies).
• Cross-platform Rust development targeting Windows, Linux, and Android.

Responsabilidades

• Scale the data plane with a horizontally scalable fetch scheduler.
• Build the Fleet Manager control plane with inventory, config, and rollout management.
• Develop provider integrations for onboarding new device sources.
• Own and improve the CONNECT proxy gateway and edge session management.
• Engineer secure networking using mTLS, gRPC, and streaming over unreliable links.
• Address NAT, bandwidth, reliability, and contention challenges.
• Define and maintain SLOs for availability and latency.
• Build observability and metrics for peer availability and provider performance.
• Implement safe blue/green deployments and on-call incident response.
• Produce design docs for scheduling, fleet management, and failover.

Conocimientos

Rust experience

Distributed systems

Networking

gRPC

FFI knowledge

Herramientas

Kubernetes

Terraform

OpenTelemetry

Prometheus

Grafana

Descripción del empleo

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 Austria.

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 environment.

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.

• Strong 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:

• Experience deploying Rust applications on Android, Windows, or macOS.

• Experience integrating Rust with C or C++ through FFI.

• Background in fleet or device management, including reconciliation systems, rollout controllers, IoT, or volunteer-computing fleets.

• Knowledge of anti-bot technologies, browser fingerprinting, and how TLS, HTTP, and IP signals are used to classify traffic.

• Familiarity with large-scale web scraping, crawling, and web data extraction.

• Contributions to open-source projects involving Rust, networking, or distributed systems.

Benefits:

• Remote-first flexibility: Freedom to work from the location where you are most productive.

• Flexible working hours: Autonomy to organize your schedule within a high-trust working environment.

• International collaboration: Join a multicultural, globally distributed team of engineers and data specialists.

• Global team events: Opportunities to attend conferences and meet colleagues from around the world.

• Modern technology: Work with cutting-edge open-source technologies and tools.

• Technical impact: Solve complex engineering challenges involving large-scale networking, distributed systems, and web data infrastructure.

• Professional growth: Opportunities to deepen your expertise while contributing to a growing, technically ambitious platform.

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!

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.

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