Senior Software Engineers - DevOps and Implementation

Software International; Toronto; On-site; CAD 140,000 - 175,000; Full time

Job summary

A leading technology solutions provider is hiring Senior Software Engineers specializing in DevOps and Implementation in downtown Toronto. This role involves leading complex platform features and implementations for enterprise clients, focusing on Kubernetes operators and AI solutions. Ideal candidates should have extensive experience in engineering leadership, strong analytical skills, and a passion for customer impact. Competitive salary ranges from $140,000 to $175,000 plus perks in a dynamic, challenging environment.

Benefits

RSU stock options

3 weeks vacation

Comprehensive benefits

Other great perks

Qualifications

• Experience operating Kubernetes and building controllers.
• Background in enterprise-level platform deployments with mission-critical implications.
• Proven ability to architect platform solutions with minimal guidance.
• Strong analytical skills and capability to solve technical challenges.

Responsibilities

• Lead complex platform features and enterprise implementations end-to-end.
• Work with stakeholders to turn complex requirements into technical solutions.
• Shape platform architecture strategies and customer implementation methodologies.

Skills

Kubernetes operators and controllers

Python

TypeScript

Distributed systems

Advanced AI/ML frameworks

Self-sufficient technical leadership

Complex problem-solving

Mentoring engineers

Enterprise platform experience

Analytical mindset

Job description

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid‑sized organizations in Canada/US. We are currently hiring multiple Senior Software Engineers - DevOps and Implementation for our client in the downtown Toronto area, which specializes in OS development for AI and data stacks.

Role: Senior Software Engineers - DevOps and Implementation

Type: Fulltime, Perm

Number of roles: 3

Salary Range: $140,000 - $175,000 as base salary depending on overall experience + RSU stock options + 3 weeks vacation + benefits + other great perks

Location: Onsite – downtown Toronto, ON, Canada

Job Description

Our client is building the world’s first operating system for data and AI. Like iOS, Windows and Linux, our clients' end‑to‑end OS offers ever‑evolving, automatically operated, best‑of‑breed open‑source components tailored to each of their clients unique data security needs.

Our client serves large enterprises—often in air‑gapped data centers and complex deployment environments where failure isn’t an option. It’s one of the biggest value props of the product and presents unique technical and product challenges. If you thrive in ambiguity and enjoy making the unknown known while solving problems that matter, you’ll fit well within the company and team.

The role

We are looking for passionate engineers who have extensive experience operating Kubernetes, building Kubernetes controllers, and control flow design and implementation. You’ll lead and own complex platform features and enterprise customer implementations end‑to‑end—from architecture and development to deployment strategy and customer success. Your technical decisions directly impact how enterprise‑scale organizations operate. You’ll work side‑by‑side with customer stakeholders from technical teams to C‑suite executives, transforming complex business challenges into production‑grade AI solutions while establishing best practices that define the industry. As a startup, you’ll have significant influence on technical direction and team culture.

The ideal candidate

We’re an engineering‑first organization focused on solving the hardest problems in enterprise data and AI. We eat, breathe, and sleep the latest in systems engineering and customer delivery, adopting new tech when it’s battle‑tested (half a step behind the bleeding edge). If you’re excited about technical leadership that creates real‑world impact and working on technology that transforms industries, you’ll fit right in. We value high productivity, customer obsession, technical excellence, self‑sufficiency, and autonomy without the ego.

What’s the stack?

Multi‑tenant platform components run on Kubernetes with React/TypeScript frontends and TypeScript backends. Enterprise deployments leverage our advanced DevOps automation built on Kubernetes, Helm, and Terraform, with sophisticated implementations for enterprise security, compliance, and air‑gapped environments where security and reliability are paramount. We believe in picking the right tool for the job. If another AI framework or technology is better for creating breakthrough customer solutions, we’ll use it.

Examples of what our client builds

• Enterprise‑scale GraphRAG systems that transform how Fortune 500 companies leverage institutional knowledge
• Sophisticated multi‑agent workflows that automate complex business operations previously requiring human expertise
• Production AI platforms that integrate multiple cutting‑edge frameworks to solve industry‑defining challenges

You’ll lead these breakthrough initiatives from vision to transformational reality, working directly with executive stakeholders to create lasting competitive advantages.

Skills we’re looking for

• Technologies: Kubernetes operators and controllers, Python, TypeScript, distributed systems, advanced AI/ML frameworks
• Enterprise platform experience with complex, mission‑critical deployments where failure has real consequences
• Self‑sufficient technical leader. You have taste for scalable architectures that solve problems others can’t
• Ability to independently architect platform solutions that become the backbone of enterprise operations
• Comfort with ambiguity; turn complex, high‑stakes customer requirements into clear technical solutions with minimal guidance
• Strong analytical mindset and proven ability to solve complex technical problems under pressure
• Leadership experience mentoring engineers and driving technical initiatives that matter
• Passion for customer impact and translating technical excellence into business outcomes

This role will help shape

• Platform architecture strategy that defines how enterprises handle data and AI at scale
• Customer implementation methodologies for complex, business‑critical projects
• Platform‑level quality standards for systems that power critical business operations
• Customer delivery excellence that creates transformational business impact
• Product and technical strategy that shapes the future of enterprise data infrastructure
• AI application strategy that defines how enterprises compete with AI
• Advanced AI solution methodologies for complex, transformational projects
• AI solution quality standards for systems that become competitive differentiators