Senior Software Engineer (Infrastructure)

Jobgether; Oregon; Híbrido; USD 250.000 - 325.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Location flexibility

Competitive equity

High autonomy

Descripción de la vacante

Jobgether is seeking a Senior Software Engineer (Infrastructure) to design and scale core infrastructure powering an AI-native platform. You will own backend code, clouds, and distributed systems across Linux, Docker, Kubernetes, and cloud providers, partnering with a small high-skill team to implement robust architecture and observability.

The role emphasizes end-to-end ownership, production-ready systems, and collaboration with platform and product teams in a fast-paced startup environment.

Formación

• 6–12 years of professional software engineering experience, backend and core infrastructure.
• Experience in AI-native startup infrastructure is essential.
• Hands-on production app development with backend focus preferred.
• Ownership of infra components like VMs, queues, containers, and clouds.
• Strong backend design, deployment, and maintenance capabilities.
• IaC experience with Pulumi, Terraform, or AWS CDK.
• Docker, Kubernetes, and cloud platforms expertise.
• Deep Linux, networking, storage, and runtime debugging knowledge.
• Experience designing APIs and reusable backend abstractions.
• Strong scalability, reliability, and production ops focus.
• Familiarity with AI-driven products and fast-paced startups.
• Excellent English communication and ownership attitude.

Responsabilidades

• Design, build, and maintain code managing persistent, customer-specific cloud environments.
• Own VM lifecycle, container updates, background jobs, queues, observability, and security.
• Develop scalable backend services, APIs, and infrastructure abstractions for engineers.
• Design distributed systems with messaging queues, distributed locks, and service buses.
• Scale infra from hundreds to thousands of customer environments with high availability.
• Build Infrastructure-as-Code patterns using Pulumi or equivalent tooling.
• Work with Docker, Kubernetes, cloud platforms, Linux, networking, and storage.
• Diagnose and resolve issues across app and infra layers; improve bottlenecks.
• Establish monitoring, observability, and security across customer environments.
• Collaborate with platform/product teams to define architecture and standards.
• Take end-to-end ownership from architecture to deployment and production debugging.

Conocimientos

Backend engineering

Infrastructure ownership

Docker/Kubernetes

Cloud platforms

AI-native startup

API design

Distributed systems

Linux networking

Observability

English communication

Herramientas

Pulumi

Terraform

AWS CDK

Docker

Kubernetes

MongoDB

Elasticsearch

Linux

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 Senior Software Engineer (Infrastructure) based in Canada.

Join a fast-growing, AI-native technology company developing an innovative platform that helps businesses automate complex marketing workflows through intelligent AI agents. As a Senior Software Engineer (Infrastructure), you will play a key role in designing and scaling the core infrastructure powering the platform's next phase of growth. You will build production application code that manages persistent, customer-specific cloud environments and supports increasingly complex workloads. Working at the intersection of backend engineering, cloud infrastructure, and distributed systems, you will solve challenging technical problems without relying on established playbooks. You will collaborate closely with a small, highly technical engineering team, taking ownership of critical architecture and infrastructure decisions. This is an opportunity to make a significant impact while building foundational systems in a high-growth AI environment.

Accountabilities

• Design, build, and maintain the application code responsible for managing persistent, always-on cloud environments for individual customers.
• Own the lifecycle management of virtual machines, container updates, background jobs, queues, observability, and security mechanisms.
• Develop scalable backend services, APIs, and infrastructure abstractions that enable product engineers to build and deploy new capabilities efficiently.
• Design and implement reliable distributed systems, including messaging queues, distributed locks, background tasks, and service bus mechanisms.
• Scale infrastructure from hundreds of customer environments to several thousand while maintaining high availability, performance, and reliability.
• Develop and improve Infrastructure-as-Code patterns using Pulumi or comparable technologies, establishing reusable standards and provisioning practices.
• Work with Docker, Kubernetes, cloud platforms, Linux systems, networking, storage, and permissions to support complex production workloads.
• Diagnose and resolve technical issues across application and infrastructure layers, identifying bottlenecks and implementing long-term improvements.
• Establish robust monitoring, observability, and security practices across customer environments.
• Partner with platform and product engineering teams to define technical architecture, establish engineering standards, and accelerate product development.
• Take end-to-end ownership of technical initiatives, from architecture and implementation through deployment, monitoring, and production debugging.

Requirements

• 6-12 years of professional software engineering experience, particularly in backend development and core infrastructure engineering.
• Previous experience building or contributing to core infrastructure within an AI-native Series A–C startup. This is an essential requirement.
• Currently hands-on with production application development, with a strong preference for backend-focused engineers rather than traditional DevOps or SRE profiles.
• Proven experience taking ownership of infrastructure components such as virtual machines, queues, containers, and persistent cloud environments.
• Strong backend engineering skills and the ability to design, implement, deploy, and maintain production systems independently.
• Expertise in Infrastructure-as-Code tools such as Pulumi, Terraform, or AWS CDK.
• Practical experience with Docker, Kubernetes, or comparable container orchestration technologies.
• Deep knowledge of cloud infrastructure across Azure, AWS, or Google Cloud Platform (GCP).
• Strong understanding of Linux systems, networking, persistent storage, permissions, and runtime debugging.
• Experience designing distributed systems, asynchronous processing, background tasks, messaging queues, and reliable service architectures.
• Ability to build application code that controls and manages infrastructure, rather than relying exclusively on configuration and operational tooling.
• Experience designing APIs, backend services, and reusable abstractions for other engineering teams.
• Strong understanding of scalability, infrastructure reliability, performance optimization, and production system operations.
• Familiarity with AI-driven products and enthusiasm for working in an AI-forward engineering environment.
• Comfortable making architectural decisions and delivering solutions in ambiguous, fast-paced startup environments.
• Excellent communication skills in English, with the ability to explain complex technical concepts clearly.
• Strong ownership, accountability, collaboration, and problem-solving skills, combined with a bias toward execution and high engineering standards.

Nice to Have

• Experience managing isolated, per-customer cloud environments at scale.
• Previous work involving persistent cloud workloads, virtual machine lifecycle management, or container orchestration.
• Experience with Microsoft Azure, AWS, or GCP.
• Founder, Founding Engineer, or early-stage startup experience.
• Familiarity with TypeScript and Node.js.
• Hands-on experience with Pulumi, Docker, Kubernetes, MongoDB, Elasticsearch, and Linux.
• Experience implementing observability and monitoring solutions using Prometheus, Grafana, or Datadog.

Benefits

• Competitive annual salary:
• $250,000-325,000.
• Potential compensation flexibility up to
• $500,000
• for exceptional candidates, depending on experience and role scope.
• Competitive equity package.
• Fully remote working environment.
• Location flexibility for candidates based in Canada, the United States, or Western Europe.
• Full-time employment opportunity.
• High level of technical autonomy and ownership over critical infrastructure systems.
• Opportunity to influence foundational architecture and engineering decisions.
• Direct collaboration with a small, highly skilled engineering team.
• Opportunity to work at the intersection of artificial intelligence, backend engineering, and cloud infrastructure.
• Exposure to complex technical challenges while helping scale an innovative AI platform from hundreds to thousands of customer environments.