Staff Software Engineer (Canada)

Valsoft Corporation

1d • $120,000 - $150,000 • Remote

About The Position

We’re looking for a Staff Software Engineer to serve as the most senior individual contributor on TTG’s engineering team — the technical leader who takes end-to-end ownership of cloud infrastructure, CI/CD pipelines, and full-stack application support across our direct selling software platform. You’ll set technical direction across the entire stack — from AWS infrastructure and Kubernetes operations to C#/.NET development, database and messaging systems, and AI-augmented engineering workflows — while dedicating a meaningful share of your time to mentoring engineers, guiding technical decisions, and shaping how the team builds. This is a hands-on, high-impact role at a company with 25+ years of domain depth and a platform deployed across hundreds of global organizations.

Requirements

• 8+ years of experience in software, DevOps, or platform engineering, including time as a senior individual contributor or technical lead, with hands-on AWS infrastructure management (VPCs, EC2, Kubernetes, load balancers, and network security controls such as firewalls, WAF, and network ACLs).
• Strong full-stack development skills in C# and T-SQL, including hands-on experience building services with ServiceStack and the LLBLGen ORM, with supporting experience in Vue, HTML, and CSS, and the ability to troubleshoot across UI, API, database, messaging, and deployment layers.
• Proven CI/CD experience with Jenkins and strong command of Docker and Kubernetes operations (kubectl, YAML deployment configs), plus Linux scripting for operational tasks.
• Experience with SQL Server, MongoDB/DocumentDB, and event-based, message-driven systems (MassTransit, Amazon SQS, RabbitMQ, or Apache MQ).
• Proficiency with Git-based source control workflows (GitHub or GitLab), including branching strategies, code reviews, and coordinated deployments.
• Demonstrated ability to mentor engineers and lead technical decisions, balancing hands-on contribution with guidance and team development.

Nice To Haves

• Demonstrated use of AI coding assistants (e.g., GitHub Copilot, Devin) to accelerate development and improve code quality in daily engineering workflows.
• Familiarity with CMS and identity platforms such as Umbraco and Identity Server.
• Experience supporting complex distributed applications from development through deployment and production troubleshooting.

Responsibilities

• Configure and maintain AWS services including VPCs, EC2 instances, queues, DocumentDB, load balancers, security groups, Kubernetes clusters, and container repositories, along with network security controls (firewalls, WAF, and network ACLs).
• Build and manage Jenkins jobs and CI/CD pipelines that produce deployment artifacts, including ZIP packages and Docker images; maintain Kubernetes deployment configurations (kubectl, YAML).
• Write Linux utility scripts to support cluster management, automate deployments and operational tasks, and troubleshoot infrastructure issues across distributed environments.
• Develop and maintain applications in C#, T-SQL, Vue, HTML, and CSS; troubleshoot issues across the full stack including UI, API, database, messaging, and deployment layers.
• Build and maintain core application services on ServiceStack and the LLBLGen ORM data-access layer; customize and support platform-integrated applications such as Umbraco and Identity Server.
• Maintain and troubleshoot integrations between internal systems and external platforms; manage Git-based source control workflows (GitHub/GitLab) including branching, code reviews, and coordinated deployments.
• Work with SQL Server and T-SQL for querying, troubleshooting, and supporting application data.
• Support MongoDB/DocumentDB document storage and reason about relational and document database usage across application services.
• Design and support event-based, message-driven architecture using MassTransit over message brokers such as Amazon SQS, RabbitMQ, and Apache MQ across distributed application services.
• Apply AI-assisted development tools (e.g., GitHub Copilot, Devin) to coding, debugging, documentation, and PR workflows to measurably improve team productivity.
• Review, validate, and govern AI-generated code and infrastructure-as-code; evaluate emerging AI productivity tools and recommend adoption across engineering teams.
• Adapt deployment processes and engineering practices as platform requirements and tooling evolve.
• Mentor and guide engineers across the stack, raising the bar on code quality, architecture, and operational practices.
• Lead technical decisions and provide hands-on guidance on complex, cross-cutting problems from development through production troubleshooting.
• Partner with engineering leadership to set technical direction, plan coordinated releases, and onboard and grow team members.

Benefits

• The salary range for this role is $120,000 – $150,000 USD per year.
• Final compensation will be determined based on experience, skills, and location.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed