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Senior Software Engineer II - Dev Accelerator (AI-Native Platforms)

Jobgether Canada
Remote
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AI Summary

Join a developer-focused engineering team to build and enhance internal platforms that boost productivity, reliability, and safety for over 100 engineers. Shape AI-native workflows, CI/CD, testing infrastructure, and cloud-native systems using Python, Go, Kubernetes, and AWS. Fully remote opportunity in Canada with high-impact ownership and cross-team collaboration.

Key Highlights
Build and optimize internal developer platforms for 100+ engineers, improving workflows and engineering productivity
Develop AI-native tools and workflows, integrating LLMs for intelligent code generation, failure summarization, and CLI experiences
Own end-to-end projects from discovery to rollout, collaborating with Product Engineering, SRE, Security, and Infrastructure teams
Key Responsibilities
Develop and enhance internal developer platforms to improve productivity, reliability, and safety for engineering teams
Design and implement AI-native workflows and tools, including CLI tooling, automated code generation, and intelligent testing frameworks
Build and maintain scalable developer tooling, CI/CD pipelines, shared libraries, and cloud-native systems using Python, Go, Bazel, Kubernetes, and AWS
Collaborate with cross-functional teams (Product Engineering, SRE, Security, Infrastructure) to deliver high-impact engineering solutions
Take ownership of multi-quarter initiatives from discovery to rollout, ensuring scalable and intuitive workflows
Technical Skills Required
Python Kubernetes Cloud-Native Development (AWS)
Benefits & Perks
Fully remote work opportunity in Canada
Competitive base salary with equity participation and annual bonus eligibility
Comprehensive benefits package including innovative AI and cybersecurity technologies
Nice to Have
Experience with AI-powered engineering tools (e.g., LLMs for code generation, failure summarization)
Familiarity with Go, Bazel, GitHub Actions, and modern CI systems
CLI tool development, YAML/Jinja2 templating, and testing frameworks (e.g., pytest, Ginkgo)
Shared library development (gRPC/HTTP) and reusable CI/CD workflows
Test data management, integration testing, and automated unreliable test detection

Job Description


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer II - Dev Accelerator based in Canada.

This is an opportunity to join a developer-focused engineering team building the internal platform that enables more than 100 engineers to design, build, test, and ship software efficiently and safely.

You’ll contribute to high-impact initiatives spanning developer tooling, CI/CD, testing infrastructure, shared libraries, and cloud-native systems.

The role combines hands-on software engineering with the opportunity to shape how developers and AI agents interact with engineering platforms.

You’ll work across technologies including Python, Go, Bazel, Kubernetes, AWS, and modern CI systems.

As an individual contributor, you’ll take ownership of significant projects and help create scalable, intuitive “golden path” workflows.

You’ll collaborate closely with Product Engineering, Infrastructure, SRE, Security, and other technical teams in a highly innovative environment.

The position is fully remote in Canada and offers the opportunity to influence engineering practices at scale.

Accountabilities

  • Develop, enhance, and operate internal developer platforms that improve the productivity, reliability, and safety of engineering teams.
  • Own high-impact, multi-quarter initiatives across CLI tooling, CI/CD, shared libraries, test infrastructure, and developer workflows.
  • Build and improve tools and abstractions that make the preferred engineering path faster, more reliable, and easier to use.
  • Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to deliver robust developer experiences.
  • Design workflows and platform capabilities that are increasingly AI-native and usable by both software engineers and AI agents.
  • Contribute to initiatives such as automated code generation, large-scale migrations, testing frameworks, environment tooling, and engineering automation.
  • Collaborate with Product Engineering, Infrastructure, SRE, Security, and other partner teams to deliver solutions aligned with broader engineering objectives.
  • Take ownership of technical decisions and deliver projects from discovery and design through implementation, rollout, and ongoing improvement.

Requirements

  • 3+ years of professional experience as a software engineer or in a comparable technical role.
  • Demonstrated ability to use AI-powered engineering tools throughout software development, including discovery, design, implementation, testing, and rollout.
  • Experience with, or strong interest in, applying LLMs to developer productivity and engineering workflows, such as failure summarization, intelligent code generation, or AI-native CLI experiences.
  • Familiarity with Python, Go, Bazel, AWS, Kubernetes, and GitHub Actions is highly valuable.
  • Experience building or maintaining CLI tools, developer scaffolding systems, internal frameworks, or reusable engineering platforms is preferred.
  • Experience with test data management, integration or end-to-end testing infrastructure, test coverage tooling, or automated detection of unreliable tests is advantageous.
  • Hands-on experience with CLI development, YAML/Jinja2-style templating, modern Python typing practices, and frameworks such as pytest, Ginkgo, or comparable testing tools is beneficial.
  • Experience developing shared libraries and services using technologies such as gRPC or HTTP, as well as authoring reusable CI/CD workflows, is a plus.
  • Strong ownership, problem-solving ability, collaboration skills, and enthusiasm for improving developer experiences are important for success in this role.

Benefits

  • Fully remote work opportunity in Canada.
  • Competitive base salary, with compensation dependent on experience, skills, qualifications, and location.
  • Equity participation and eligibility for an annual bonus.
  • Comprehensive benefits package.
  • Opportunity to work on innovative AI and cybersecurity technologies.
  • High-impact projects that directly improve engineering productivity across the organization.
  • Collaborative environment working with experienced teams across engineering, infrastructure, SRE, security, and product development.
  • Opportunities to develop expertise in AI-native software development and modern developer-platform technologies.
  • Inclusive workplace committed to diversity, equal opportunity, and professional growth.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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