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Senior MuleSoft Solution Architect

Job in Mount Pearl, St. Johns, Newfoundland / NL, Canada
Listing for: CloudKettle Inc.
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 140000 CAD Yearly CAD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
Location: Mount Pearl

Salary Range: $ To $ Annually

Senior Mule Soft Solution Architect (Remote)

Type:
Full-Time;
Technical

Reports To:

Business Intelligence Practice Lead

Salary Range: $110,000 - $140,000

Intro

Ateko is seeking a Senior Mule Soft Solution Architect to lead our most critical client integration engagements. We expect this person to transition into leading a small group of 2-3 integration engineers, managing their work while maintaining hands‑on architectural responsibilities. This is a strategic, high‑visibility consulting role where you will partner directly with client stakeholders, from Enterprise Architects to CTOs, to architect scalable, API‑led solutions that resolve critical operational bottlenecks.

We expect you to be an AI‑first developer who defaults to using AI coding assistants to write boilerplate, debug, and accelerate your daily work.

You will act as the primary technical advisor for our customers and serve as a key stakeholder in our strategic relationship with Salesforce. Your time will be split between advising clients on architecture and building an internal team to help our clients maximize their Mule Soft investment.

Location

Remote within Canada

Responsibilities
Strategic Architecture & Client Advisory

Executive Consulting:
Translate business process gaps into integration patterns. You will explain why we are recommending an API‑led approach to a CFO, and how it works to a technical team.

Center of Excellence:
Define integration best practices (governance, error‑handling, reuse) and train internal developers to use them. Establish architectural standards for security, performance, and multi‑cloud governance. Within the near term, step into a lead role for 2-3 engineers, running their code reviews, handling technical onboarding, and managing their delivery.

Salesforce & Data Cloud Strategy:
Collaborate with our Salesforce Architects to design secure, efficient data sharing and ingestion strategies across the Salesforce ecosystem (particularly Salesforce Data Cloud). Consult on API limit avoidance and design data flows that minimize message consumption.

Technical Delivery & Design

API Design First:
Lead the design of RAML/OAS specifications in Anypoint Design Center before a single line of code is written. Ensure contracts are solid, reusable, and readable.

Complex Transformation Logic:
Take ownership of the most complex Data Weave transformations. When the logic gets too hard for the regular delivery team, you step in to optimize performance and maintainability.

Resilience & Security:
Architect for failure. Design holistic error‑handling, retry mechanisms, and alert frameworks (Cloud Hub/Runtime Manager) to ensure zero silent failures. This includes defining and implementing API security policies (e.g., OAuth 2.0, JWT, Client t) and establishing centralized monitoring and logging standards.

Deployment and Scale:
Architect solutions that are container‑ready, leveraging microservices/SOA design patterns and modern CI/CD processes to support rapid deployment and elastic scaling, potentially using Kubernetes (Anypoint Runtime Fabric RTF).

Data Strategy & Technical Engineering

Complex Data Migrations:
You will lead the strategy for building a Mule Soft first approach for complex, high‑volume data migrations (ETL) that go beyond standard Data Loader capabilities. Partner with our Salesforce team to define data quality and reconciliation processes that mitigate risk.

Technical Agility & Problem Solving:
Serve as the primary escalation point for integration challenges. Apply an engineering mindset and actively use AI assistants to quickly script ad‑hoc integrations, troubleshoot data integrity issues, and clear technical blockers.

Be deeply curious about AI and how it will change how Mule Soft is implemented.

AI Workflow Mentorship:
Share best practices on how to effectively use AI tools to speed up Mule Soft delivery without compromising security or code quality.

Continuous Learning:
Actively explore and pilot new features (Mule Soft Flex Gateway, API Governance, Universal API Management) and share knowledge with the wider Ateko team.

Mentorship & Management:
Practical experience guiding junior or mid‑level…

Position Requirements
10+ Years work experience
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