Software Engineer II, Backend (ML Training & Serving) [Remote]

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, Backend (ML Training & Serving) based in the United States.

This role focuses on building and scaling the backend infrastructure that powers machine learning training and serving platforms.
You will work at the intersection of distributed systems, ML infrastructure, and platform engineering to enable reliable model development and deployment.
The position offers the opportunity to design durable systems that improve engineering velocity and support critical business decisions.
You will collaborate with engineers across teams, contribute to technical solutions, and help shape shared platforms used at scale.
The ideal candidate is passionate about backend engineering, system reliability, and creating tools that empower other developers.
This is an environment that values ownership, thoughtful execution, continuous learning, and strong cross-functional collaboration

Accountabilities:

The Software Engineer II, Backend (ML Training & Serving) will contribute to the design, development, and operation of core machine learning infrastructure while partnering with engineering teams to deliver scalable solutions. Key responsibilities include:

• Building, improving, and maintaining backend systems that support machine learning model training and serving workflows.
• Breaking down complex technical projects into actionable milestones, delivering high-quality solutions through iterative development.
• Designing and implementing reliable software components while considering scalability, performance, operational needs, and long-term maintainability.
• Collaborating with engineers and stakeholders across teams to evaluate technical trade-offs, communicate constraints, and support effective decision-making.
• Monitoring system health through metrics, improving reliability, and contributing to operational excellence, including support for production systems and on-call responsibilities.
• Reviewing code, debugging issues, sharing technical knowledge, and contributing to a culture of engineering excellence.
• Participating in team development initiatives, including mentoring, interviews, and activities that strengthen the engineering community.

Requirements:

The ideal candidate combines strong backend engineering skills with experience building reliable software systems and collaborating in a fast-paced technical environment. Required qualifications include:

• 1.5+ years of professional experience as a software engineer.
• Experience designing, developing, and launching backend systems using Python or Kotlin.
• Familiarity with distributed systems concepts and technologies such as AWS, MySQL, and Kubernetes.
• Ability to translate business or technical problems into scalable software solutions involving multiple components.
• Strong programming skills with a focus on writing clear, tested, maintainable, and extensible code.
• Comfort navigating large codebases, debugging existing systems, and providing constructive feedback through code reviews.
• A proactive approach to professional growth, including seeking feedback and continuously improving technical skills.
• Strong written and verbal communication skills, with the ability to collaborate effectively with global engineering teams.

Benefits:

The role offers a competitive compensation package and a range of benefits designed to support employees’ professional growth, well-being, and flexibility.

• Competitive base salary range of $133,000 - $183,000 CAD per year depending on location, experience, and job-related skills.
• Equity opportunities as part of the overall compensation package.
• Remote-first work environment with flexibility to work from approved locations within the country of employment.
• Health, dental, and vision coverage with premiums fully covered for employees and eligible dependents.
• Flexible spending allowances for technology, food, lifestyle needs, and family-related expenses.
• Wellness days and competitive vacation and holiday schedules to support rest and recharge.
• Learning and development programs to support career growth.
• Parental benefits and employee resource/community groups.
• Employee stock purchase plan opportunities.

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!

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.

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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.