Sr Manager, Software Engineering

Job Responsibilities

• Define and own the long-term technical strategy.
• Ensure scalability, reliability, and security across multi-plant global deployments.
• Drive architecture decisions across distributed systems, IoT integration, event-driven services, and data pipelines.
• Establish platform standards for APIs, observability, and infrastructure automation.
• Partner with Product and Hardware teams to enable rapid application development on shared services.

Organizational Leadership

• Build and lead multiple engineering teams (managers and individual contributors).
• Hire, develop, and coach engineering leaders.
• Create mechanisms for high-quality execution, strong design reviews, and operational rigor.
• Set a high bar for engineering talent and performance management.

Operational Excellence

• Own uptime, performance SLAs, security posture, and deployment velocity.
• Drive root cause analysis and long-term corrective actions.
• Implement measurable KPIs around reliability, latency, scalability, and cost efficiency.
• Lead through metrics and establish data-driven decision making.

Cross-Functional Influence

• Partner with Product, Deployment, Customer Success, and Executive Leadership to align platform roadmap with business priorities.
• Communicate technical strategy to VP-level stakeholders.
• Influence hardware integration standards (AMR, forklift IoT, PLC systems).
• Ensure GDPR and global compliance requirements are met across regions.

Long-Term Platform Strategy

• Drive multi-year technical roadmap aligned to business plan growth trajectory.
• Reduce duplication across application(s) through shared services.
• Design for external commercialization and SaaS scalability.

What You Should Bring To This Role

• Bachelors Degree in Computer Science or related field required, Masters Degree preferred.
• 12+ years of experience in software engineering required.
• 2+ years leading managers of engineers preferred.
• Experience owning large-scale distributed systems or platform organizations required.
• Demonstrated ability to define and execute multi-year technical strategy required.
• Strong experience with APIs, microservices, event-driven architecture, and DevOps best practices required.
• Experience leading IoT-connected systems or industrial automation platforms required.
• Experience scaling SaaS products across global enterprise customers required.
• Background in high-availability systems with real-time constraints required.
• Strong understanding of data architecture and analytics platforms required.
• Experience influencing executive stakeholders and cross-functional teams required.

Hiring Base Salary Range

Hiring Base Salary Range: $132,880 - $245,300 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data). In addition to base salary, some positions are eligible for an annual performance based bonus.

Awareness, Unity, Empowerment

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.