Senior Software Engineers - DevOps andImplementation
Software InternationalSalary Context
This role offers $140k–$175k. The median for Senior-level devops roles is $120k–$180k (based on 38 listings). 5% above median.
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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 worlds 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
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