Staff Automation & Platform Engineer
Top focus
Job Description Mission: Industrialize concepts into robust, production-grade platforms that the business can rely on. This is a flexible, full-stack Engineering role responsible for building and maintaining the software platform that connects AI models to business processes, as well as building agents directly within third-party platforms like Glean, Databricks, and Azure AI Foundry — while extending a software engineering mindset — testability, reliability, and maintainability — to agentic and automation systems, and helping other teams build to that same bar, so systems can be trusted to run in production without constant rework.
Key Responsibilities: · Platform Engineering: Build and maintain a full-stack software platform (frontend, backend, and data layers) that serves as the foundation for automation and AI-driven solutions across the business. · Production Hardening: Refactor prototypes into robust, production-grade code capable of handling high-volume transactions. · Engineering Rigor for Agentic Systems: Apply software engineering discipline — automated testing, error handling, observability, and reliability practices — to agentic frameworks and automation pipelines, not just traditional application code, so systems are durable and require minimal rework. · Advanced Logic Orchestration: Design complex workflows (such as agentic frameworks or LLM chaining) to solve intricate business problems. · System Integration: Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces. · Third-Party Platform Enablement: Continuously learn and build agents and automations directly within emerging third-party platforms (e.g., Databricks, Glean, Azure AI Foundry, Google), using them as core building blocks for new solutions and evaluating/adopting new tooling as the ecosystem evolves. · Resilience Engineering: Implement comprehensive logging, monitoring, and self-recovery mechanisms to minimize downtime. · Consulting & Best Practices: Document and evangelize engineering best practices and design patterns — including how to build high-quality, testable agents on platforms like Glean — and coach other teams so agents and automations they build independently meet the same reliability bar. · Advanced Support Escalation: Act as the technical escalation point for complex code-related issues after deployment.
Required Qualifications: · Education: Bachelor’s degree in Computer Science, Software Engineering, or related field. · Experience: 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering. · Full-Stack Technical Depth: Strong proficiency across the stack — Frontend (ReactJS/Vite), Backend (Python), and Data (PostgreSQL/Databricks) — plus REST APIs and Workflow Orchestration tools. · Engineering Rigor: Strong focus on code quality, error handling, and testing, applied equally to traditional software and to agentic/automation systems. · Platform & Tooling Agility: Demonstrated ability to rapidly learn and build production-quality agents and automations directly within third-party platforms such as Databricks, Glean, Azure AI Foundry, and Google tooling — not just custom code — to deliver solutions.
Preferred Qualifications: · VSSM Business Knowledge: Familiarity with the VSSM business domain is a major advantage in prioritizing and shaping platform investments. · Conceptual Thinking: Ability to work on complex assignments requiring originality and ingenuity in approach. · Impact Focus: Experience setting objectives that directly influence results and providing measurable contributions. · Adaptability: Resilience in approaching setbacks and comfort operating in fast-changing technical environments; ability to analyze failures and identify improvements. · Autonomy: Ability to work independently with broad latitude in decisions and actions in a complex environment
Compensation
- The compensation information is a good faith estimate only.
- It is based on what a successful applicant might be paid in accordance with applicable state laws.
- The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
- The salary range for this role is $160,000-$246,000 .
- The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
Benefits
- GM offers a variety of health and wellbeing benefit programs.
- Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more #LI-HP2 

- GM does not provide immigration-related sponsorship for this role.
- Do not apply for this role if you will need GM immigration sponsorship now or in the future.
- This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

- This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

- This job is not eligible for relocation benefits.
- Any relocation costs would be the responsibility of the selected candidate.

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