Technical Consultant - DevSecOps

hireVouch; Canada; Hybrid; CAD 140,000 - 170,000; Full time

Job summary

A technology consulting firm in Canada is seeking an experienced Technical Consultant to act as both a solution architect and delivery engineer. You will help enterprise customers adopt AI-enhanced cloud environments through tailored solutions. The role requires strong expertise in cloud engineering, DevOps practices, and hands-on tool implementation. Competitive salary range is CAD $140,000–$170,000, plus bonus. Occasional travel within Canada and the USA may be required.

Qualifications

• 5+ years in cloud, DevOps, or solution engineering with consulting experience.
• Hands-on experience with leading DevOps tools.
• Professional or Expert level Cloud certification.

Responsibilities

• Engage with enterprise customers to understand needs and design scalable architectures.
• Lead discovery sessions to develop cloud solution roadmaps.
• Implement automation using Terraform and GitOps.

Skills

Cloud engineering

DevOps practices

Automation scripting in Python

Client engagement

Communication skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

Terraform

GitHub

Atlassian

JFrog

SonarQube

Job description

As a Technical Consultant, you'll act as both a solution architect and delivery engineer for enterprise customers adopting the Forge platform. This role combines technical consulting, solution design, and hands‑on delivery to help customers achieve secure, automated, and AI‑enhanced cloud environments.

You'll collaborate with customers to design tailored architectures, define integration blueprints, and guide adoption of AI‑native DevOps workflows. You'll then bring those designs to life through cloud provisioning, automation, and integration work—bridging the gap between vision and delivery.

Key Responsibilities

• Engage with enterprise customers to understand business drivers and technical goals; translate them into scalable DevOps and AI‑native architectures.
• Lead discovery sessions and architectural design workshops to develop cloud solution roadmaps aligned with customer objectives.
• Design DevOps toolchain integrations, AI‑assisted workflows, and automation.
• Provision secure, compliant landing zones in AWS/Azure, integrating identity, observability, and network baselines.
• Implement automation using Terraform, GitOps, and pipeline‑based delivery models.
• Deploy and configure Coder CDEs, SonarQube, GitLab, Atlassian, and JFrog toolchain components.

AI‑Native Workflow Enablement

• Integrate AI‑assisted Dev tools (e.g., GitHub Copilot) and agentic AI frameworks (e.g., AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, n8n).
• Collaborate with clients to define and operationalize AI‑augmented DevOps workflows that improve automation and efficiency.

Customer Success & Delivery Excellence

• Partner with Professional Services teams on Activation Packs and bespoke implementations for strategic clients.
• Oversee testing, deployment readiness, and transition to managed operations.
• Influence client outcomes through proactive recommendations and architecture optimization.
• Provide L3 escalation support to Platform Operation and Support team.
• Mentor peers and junior engineers on best practices in AI‑first DevOps and solution design.
• Collaborate cross‑functionally with Product and Engineering to evolve the Forge platform based on client insights.
• Contribute to practice development by refining methodologies, playbooks, and reusable architectures.

Qualifications & Must‑Haves

• 5+ years in cloud, DevOps, or solution engineering, with consulting and delivery experience.
• Strong enterprise experience across AWS/Azure and infrastructure-as-code (Terraform, GitOps).
• Hands‑on implementation expertise with leading DevOps tools (GitHub, Atlassian, JFrog, SonarQube).
• Comfortable writing and maintaining automation scripts and tooling in languages such as Python, TypeScript, or Go to support DevOps and AI‑native workflows.
• Capable of reading and reviewing application code to troubleshoot integration issues, improve observability, and recommend DevOps best practices.
• Familiar with modern development practices (Git‑based workflows, code review, branching strategies, testing approaches) and able to coach teams on applying them in a DevOps and AI‑native context.
• Familiarity with AI‑native and agentic automation frameworks (AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI).
• Proven ability to engage directly with clients, lead technical workshops, and translate business needs into technical outcomes.
• Confident communicator with strong documentation and presentation skills.
• Professional or Expert level Cloud certified.
• Bachelor's in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications

• Experience in regulated industries (FSI, Healthcare, Software & Technology).
• Success in designing or operating single‑tenant or air‑gapped customer environments.
• Advanced proficiency in AI‑assisted Dev tools and workflow automation practices.

Compensation:

Base salary in the range of $140,000–$170,000 CAD, plus bonus, commensurate with experience and skill alignment.

Travel:

occasional travel in Canada and the USA