Senior Software Engineer

CONEXIOM US INC.
Vancouver, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure C Sharp (Programming Language) Software as a Service Code Generation Code Review Cursor
+28 more
Programming Tools Distributed Systems Python (Programming Language) Enterprise Messaging Systems Node.Js OpenAI Azure Active Directory Azure Machine Learning Software Safety Search Technologies Software Engineering TypeScript Workflow Management Systems GitHub Copilot ReactJS Retrieval-Augmented Generation Large Language Models Claude Code Prompt Engineering Agentic-AI Event Driven Architecture Containerization AI Platforms Apache Kafka Front End Software Development Virtual Agents Restful APIs Docker

Job description

You’ll own production services across our Node.js, TypeScript, Python, React, and Azure stack, working closely with Product Managers, Architects, Data Engineers, Designers, and fellow Software Engineers to ship scalable solutions for mission-critical processes at some of the world’s leading manufacturers and distributors.

In year one, success looks like: shipping AI-enabled features that measurably improve customer workflows, establishing patterns and best practices for reliable, secure AI-powered applications that other engineers adopt, and becoming a go-to technical mentor who raises the AI fluency of the broader engineering team.

What You’ll Do

  • Designs and builds customer-facing features and platform services in Node.js, TypeScript, and Python that apply modern AI models, agent frameworks, vector search, and RAG patterns to real business problems.
  • Evaluates emerging AI technologies and establishes patterns and best practices for reliable, secure, observable AI-powered applications.
  • Owns the full lifecycle of production software - design, build, test, deploy, and operate - in a 24x7 SaaS environment, including REST APIs, event-driven services, and cloud-native integrations.
  • Diagnoses and resolves complex production issues and drives improvements to the scalability, reliability, and performance of existing systems.
  • Builds AI-assisted development into daily workflow and drives engineering productivity gains through automation, code generation, and testing acceleration.
  • Shapes engineering standards for AI safety, governance, and responsible use, and raises the AI fluency of the broader engineering organization.
  • Mentors intermediate and junior engineers and shapes technical direction through code review, architecture discussions, and sound judgment.
  • Partners with Product Management, Architects, Data Engineers, and Security teams on shared initiatives, and communicates technical tradeoffs clearly to both technical and non-technical audiences.

Requirements

  • 7+ years of professional software engineering experience, including hands-on production work with Node.js, TypeScript, and Python.
  • Proven ability to design, build, and operate SaaS applications in production - including RESTful API design, cloud platforms (Azure, AWS, or GCP), and independently leading technical initiatives from design through deployment.
  • Working knowledge of software architecture, distributed systems, security, observability, and reliability sufficient to make sound tradeoffs under production constraints.
  • Hands-on, daily use of modern AI development tools (GitHub Copilot, Cursor, Claude Code, or similar) and experience integrating LLMs via APIs (OpenAI, Anthropic, Azure OpenAI, Google).
  • Familiarity with agent frameworks, prompt engineering, retrieval patterns, and evaluation techniques.
  • Experience working in Agile software development environments.

Nice to Have

  • Experience with Microsoft .NET and C#.
  • Experience with React and modern frontend development.
  • Experience with Azure AI services and the Microsoft AI ecosystem.
  • Experience with event-driven architectures, Kafka, messaging systems, or workflow orchestration.
  • Experience with vector databases, embeddings, RAG implementations, or AI agent platforms.
  • Experience building enterprise automation, integration, ERP, or document-processing solutions.
  • Experience with containerization technologies such as Docker and Kubernetes.

About the company

You won’t be maintaining the status quo here. Conexiom is actively changing how manufacturers and distributors operate at scale - eliminating the manual, error-prone processes that slow businesses down and cost real money. The work you do has a direct line to outcomes customers can measure, and teams you’ll never meet will work better because of it.

Real Growth, Not Just a Title

We’re on a rapid growth trajectory, which means the opportunities you create here are yours to own. High performers don’t wait for a seat at the table - they build one. If you’re someone who runs toward complexity and wants your contributions to shape the direction of a scaling company, you’ll find room to grow.

A Culture That Actually Includes You

Inclusive culture isn’t a talking point for us - it’s something we actively build. That means hiring for diverse perspectives, creating space for candid conversations, and holding ourselves accountable to an environment where different backgrounds and ways of thinking make the work better. We’re not perfect, but we’re committed.

Conexiom is an equal opportunity employer. We believe the best teams are built from diverse perspectives, backgrounds, and experiences - and we’re committed to creating an environment where everyone can do their best work.

If you don’t meet every qualification listed, apply anyway. We hire for skills, experiences, and accomplishments - not where you’ve been, but what you’ve done.

If you require accommodations at any point during the recruitment process, please reach out to our People team at hrrequests@conexiom.com. We’re happy to help.

About Conexiom

501-1000 Vancouver

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