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Backend Python Developer Jobs

General Motors

OneStream

Hybrid

Job DescriptionThe Role:The GM Energy Cloud Platform (GMEC) and its data ecosystem support home energy management, bidirectional charging (V2H/V2G), and utility programs across thousands of homes and vehicles. Our services power customer experiences, utility integrations, and measurement &amp; verification (M&amp;V) for GM Energy’s products.We are investing in senior engineering talent to strengthen our backend application services, integrations, and reliability, while continuing to mature our data foundations, in line with GM’s corporate goals around software reliability, uptime, and operational excellence.We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for the GM Energy Cloud platform.You will:Design and build scalable, reliable backend services and APIs that power home energy, EV/EVSE telemetry, and utility/aggregator experiences.Own critical production services and integrations, ensuring they are secure, observable, and easy to operate.Help the team meet GM’s system reliability objectives – including uptime, incident reduction, and robust monitoring.This is a senior individual contributor (IC) role. You will be expected to operate with minimal direction, lead complex technical work across teams, and mentor other engineers while remaining hands-on.What You’ll Do:<ul><li>Backend &amp; Platform Engineering (Primary Focus)</li><li>Lead end-to-end design and implementation of complex backend features and cross-service flows with minimal guidance.</li><li>Design, build, and operate backend services and RESTful APIs (for example in Python, Java, or similar) that:<ul><li>Surface energy and telemetry data to mobile/web apps and partner systems.</li><li>Partner with data engineering and analytics teams to ensure services integrate cleanly with data platforms (e.g., Snowflake, Databricks, or similar) and expose data in a way that supports reporting, and analytics.</li><li>Contribute to or advise on key data models and pipelines related to Energy Cloud services (telemetry, enrollments, program performance), including data quality, freshness, and observability where it directly impacts service correctness and customer outcomes.</li><li>Implement and evolve service contracts and data exchange patterns:</li><li>Define clear, versioned APIs and schemas for downstream consumers and upstream producers.</li><li>Ensure compatibility, backward-compatibility, and robust error handling across integrations.</li><li>Automated unit, integration, and contract tests for services.</li><li>Secure build and deployment pipelines with safe rollout strategies (blue/green, canary).</li></ul></li><li>Align your work to GM’s software reliability and operational excellence goals:<ul><li>Participate in on-call for Energy Cloud services:</li><li>Lead or support triage, mitigation, and root-cause analysis for incidents.</li><li>Drive permanent improvements, automation, and follow-up tasks from post-incident reviews.</li><li>Ensure that new services and significant changes meet GM’s production readiness expectations:</li><li>Comprehensive testing, health checks, runbooks, rollback strategies, and observability in place before launch.</li><li>Leadership &amp; Collaboration (Level 7A Expectations)</li><li>Mentor other engineers</li><li>Operational readiness, monitoring, and incident response best practices.</li><li>Influence technical direction across teams by:</li><li>Establishing and promoting best practices for APIs, integration patterns, security, and observability.</li><li>Collaborating with product, SRE, data, and platform teams to sequence work that delivers value while improving reliability and operability.</li></ul></li></ul>Your Skills &amp; Abilities (Required Qualifications):<ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.</li><li>6&#43; years of relevant experience in backend software engineering, including:</li><li>Designing, building, and operating production services and APIs on a major cloud provider (Azure, GCP, or AWS), with a strong preference for Azure.</li><li>Strong hands-on skills in:<ul><li>At least one general-purpose programming language (e.g., Python, Java, or similar) used for backend services.</li><li>RESTful API design and implementation, including authentication/authorization, versioning, and error handling.</li></ul></li><li>Proven experience with:<ul><li>Distributed systems or microservices architectures in production.</li><li>CI/CD practices and automated testing (unit, integration, contract) for application code.</li><li>Monitoring, logging, and alerting using modern observability tools (e.g., Datadog, Prometheus/Grafana, or equivalent).</li><li>Demonstrated track record owning or co-owning production operations:</li><li>On-call participation, incident diagnosis, and permanent fixes.</li></ul></li><li>Working with SRE/platform teams to improve reliability, scalability, and cost efficiency.</li></ul>What Will Give You A Competitive Edge (Preferred Qualifications):<ul><li>Experience in energy, utilities, EV charging, home energy systems, or large-scale IoT.</li><li>Additional experience with data and eventing, such as:</li><li>Event-driven architectures (e.g., Kafka, Event Hubs) and streaming data pipelines.</li><li>Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant SQL for operational use cases.</li><li>Experience with:<ul><li>Security and compliance for services and data (access controls, secrets management, PII handling).</li><li>SRE and reliability practices: SLOs/SLIs, error budgets, production readiness reviews, and post-incident analysis.</li><li>Demonstrated ability to:</li><li>Mentor other engineers and elevate engineering standards across teams.</li><li>Influence architecture and technical direction across a platform or domain.</li></ul></li></ul>#LI-SB3&amp;#xa;&amp;#xa;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).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Backend Software Engineer- GM Energy

Senior Backend Software Engineer

Senior backend engineer with 6+ years experience building and operating production services and APIs on major cloud platforms; strong in Python or Java; focused on reliability, observability, and scalability.

Job DescriptionThe RoleThe Energy Cloud Platform is a highly scalable, secure cloud platform in production today that connects vehicles, utilities, markets, and IoT systems to enable smart charging, bidirectional energy (V2H/V2G), and data-driven energy services. As part of the Cloud Platform &amp; Smart Charging team, you will help ensure our services remain reliable, observable, and ready to support mission-critical energy programs at scale.We are looking for a Senior Backend Software Engineer – Site Reliability (SRE) to lead reliability, performance, and operational excellence for the Energy Cloud platform, while also contributing directly to backend services and platform capabilities. In this role, you will combine strong backend software engineering skills with SRE practices to:<ul><li>Design and evolve production-ready, observable services</li><li>Build and improve CI/CD, infrastructure, and automation</li><li>Lead incident response, post-incident reviews, and reliability improvements</li><li>Partner closely with product engineering, data, and cloud platform teams</li></ul>This is a senior individual contributor role: you will drive cross-team initiatives, set reliability patterns others adopt, and mentor engineers across the organization. You will also spend meaningful time on backend feature and platform development, and the role is well-suited for someone who wants to deepen both SRE and software engineering skills.What You’ll Do:Reliability &amp; Operations<ul><li>Own and improve reliability for key Energy Cloud services that power electric grid programs, V2H/V2G pilots, and enrollment/operations experiences.</li><li>Define and maintain SLOs/SLIs (latency, error rate, availability) and partner with engineering and product to ensure they reflect real customer and business needs.</li><li>Lead rollout and continuous improvement of production observability (e.g., Datadog or similar): metrics, logs, traces, dashboards, and alerting across services.</li><li>Implement and enforce Production Readiness Reviews (PRR) and reliability scorecards so that every new service, integration, and major feature meets our reliability bar before going live.</li><li>Drive incident management: participate in and often lead on-call/incident response, perform root-cause analysis, and ensure post-incident actions are prioritized and completed.</li></ul>Software Engineering &amp; Automation<ul><li>Design and implement robust, well-tested backend services and automation to improve system reliability, performance, and data integrity (e.g., telemetry ingestion pipelines, charging session data flows, enrollment workflows).</li><li>Build and evolve CI/CD pipelines (e.g., GitHub Actions) to support blue/green or similar deployment strategies, automated rollbacks, and high-confidence releases.</li><li>Design and validate disaster recovery and continuity patterns (backups, cross-region failover, runbooks, simulation drills) for critical platform components.</li><li>Partner with data engineering and platform teams to ensure data ingestion, storage, and processing patterns support reliability, scalability, and monitoring requirements.</li></ul>Cross-Team Leadership<ul><li>Lead cross-team reliability initiatives that improve how multiple Energy Cloud and related services are built, deployed, and operated.</li><li>Define and socialize standard patterns for observability, CI/CD, performance testing, and data quality that other teams can adopt.</li><li>Create clear technical documentation: runbooks, design docs, PRR checklists, SLO definitions, and reliability playbooks that make complex systems operable by others.</li><li>Mentor engineers (SWE, DevOps, SRE, data) on reliability best practices, debugging techniques, and operational excellence.</li></ul>Your Skills &amp; Abilities (Required Qualifications):<ul><li>Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering or related field, or equivalent practical experience.</li><li>8&#43; years of experience in software engineering, DevOps, or SRE roles, including:<ul><li>Designing, building, and operating backend or platform services in production.</li><li>Hands-on experience with at least one major cloud provider (Azure, GCP, or AWS).</li></ul></li><li>Strong programming skills in one or more languages (e.g., Python, C#, Java, Go) and experience writing production-grade services and automation.</li><li>Demonstrated experience with observability and monitoring (e.g., Datadog, Prometheus, Grafana, OpenTelemetry) and implementing meaningful metrics and alerts.</li><li>Experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) including automated testing, deployment strategies, and rollback patterns.</li><li>Proven track record owning or co-owning on-call, incident response, and post-incident improvement work for production systems.</li><li>Ability to lead cross-functional technical efforts, influence without direct authority, and communicate clearly with engineering, product, and operations stakeholders.</li></ul>What Will Give You A Competitive Edge (Preferred Qualifications):<ul><li>Experience in energy, utilities, EV charging, or large-scale IoT platforms.</li><li>Experience with data platforms (e.g., Snowflake, Databricks, or similar) and designing reliable data ingestion and processing pipelines.</li><li>Deep familiarity with SRE principles: error budgets, capacity planning, resilience testing, chaos engineering, and production game days.</li><li>Experience designing disaster recovery strategies and running DR drills in collaboration with product and infrastructure teams.</li><li>Experience implementing security and compliance practices (e.g., secrets management, vulnerability remediation, secure pipelines) in partnership with security and cloud platform teams.</li><li>Demonstrated success mentoring other engineers and raising the bar for reliability and operational excellence across multiple teams.</li></ul>#LI-SB3&amp;#xa;&amp;#xa;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).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Backend Software Engineer/SRE - GM Energy

Senior Backend Software Engineer/SRE

8+ years in software/devOps/SRE with backend services, cloud (Azure/GCP/AWS), Python/C#/Java/Go, observability, CI/CD, on-call experience, cross-functional collaboration.

Job DescriptionAbout the Team:The ML Inference Platform is part of the AV ML Infrastructure organization. Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts. We’re proud to serve teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental, online and bulk inference, with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.About the Role:We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for workflows such as data mining, labeling, model distillation, evaluations, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.What you’ll be doing:<ul><li>Design and implement core platform backend software components.</li><li>Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.</li><li>Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators.</li><li>Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services.</li><li>Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques.</li><li>Lead technical initiatives across GM’s ML ecosystem.</li><li>Raise the engineering bar through technical leadership, establishing best practices.</li><li>Contribute to open source projects; represent GM in relevant communities.</li></ul>Minimum Requirements <ul><li>5&#43; years of industry experience, with focus on machine learning systems or high performance backend services.</li><li>Expertise in either Python, C&#43;&#43; or other relevant coding languages.</li><li>Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc).</li><li>Strong communication skills and a proven ability to drive cross-functional initiatives.</li><li>Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.</li></ul>Preferred Qualifications<ul><li>Deep expertise building zero-to-one ML infrastructure platforms.</li><li>Experience working with or designing interfaces, apis and clients for ML workflows.</li><li>Experience with Ray framework, and/or vLLM.</li><li>Experience with distributed systems, and handling large-scale data processing.</li><li>Familiarity with telemetry, and other feedback loops to inform product improvements.</li><li>Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads.</li></ul>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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.   <ul><li>The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.  </li></ul><ul><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li></ul><ul><li>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 &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.  </li></ul>Benefits:  <ul><li>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 &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.  </li></ul>Relocation: This job may be eligible for relocation benefits.  Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. &amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior ML Infrastructure Engineer, Inference Platform

ML Infrastructure Engineer

5+ years in ML systems or high-performance backend services; Python/C++; ML inference/model serving frameworks; strong cross-functional collaboration; adaptable in a fast-paced environment.

Job DescriptionAt General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.The RoleWe’re looking for a Staff Software Engineer – Full Stack to lead the design and delivery of end-to-end software systems that power internal platforms, simulation tools, and data-driven applications across GM. The ideal candidate is passionate about building world-class software, has a proven track record in scalable enterprise software, and thrives in collaborative environments. Strong software engineering fundamentals, great communication skills and experience in engineering best practices for highly scalable, reliable services.<div></div>What You’ll Do<ul><li>Own end-to-end architecture for complex systems: backend services, APIs, front-end applications, data flows, and integrations.</li><li>Design and implement full-stack features (frontend &#43; backend) that support internal users such as simulation engineers, robotics teams, and manufacturing stakeholders.</li><li>Build scalable, backend services (e.g., microservices, event-driven systems) with strong reliability, security, and observability.</li><li>Demonstrated experience building and operating distributed systems in production - event-driven architectures, message brokers, service decomposition, and the operational realities of running them</li><li>Collaborate with product, platform, and domain teams to translate requirements into clear architectural designs, technical roadmaps, and implementation plans.</li><li>Define and champion coding standards, testing strategies, and CI/CD practices to raise the bar on code quality and delivery speed.</li><li>Conduct design and code reviews, provide technical guidance, and mentor engineers across multiple teams.</li><li>Evaluate and introduce modern technologies and frameworks where they add clear value (performance, developer experience, scalability).</li></ul><div></div>What You Bring<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or related field; MS/PhD or equivalent experience preferred.</li><li>8&#43; years of professional software engineering experience, including significant full-stack and architectural responsibilities.</li><li>Strong proficiency in at least one backend language (e.g., C#, Java, , C&#43;&#43;, Python) and one frontend framework (e.g., React, Angular, Vue).</li><li>Proven experience designing and operating distributed systems (microservices, containers, orchestration, APIs, messaging), with the broader stack: GraphQL, gRPC, PostreSQL, Docker, and Kubernetes</li><li>Solid understanding of system design, scalability, performance, and security trade-offs.</li><li>Strong communication and collaboration skills; ability to influence technical direction across teams and clearly articulate architectural decisions.</li></ul>Nice to Have<ul><li>Experience building tools or platforms for simulation, robotics, manufacturing, or data/ML workflows.</li><li>Experience Integrating with enterprise systems (e.g., telemetry/IoT, PLM/CAD, MES, analytics platforms) to keep digital twins up to date, synchronized, and interactive. </li><li>Experience building Maps backends and graph databases</li><li>Familiarity with event streaming, service meshes, and advanced observability (tracing, metrics, logs).</li><li>Track record of technical leadership: driving architecture, mentoring engineers, and shaping engineering culture.</li></ul>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards">Total Rewards resources</a>.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire">How we Hire</a>.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com">email</a> us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Software Engineer - Full Stack

8+ years software engineering, full-stack and architectural experience; backend + frontend skills; distributed systems; CI/CD; collaboration.

<div>
<div>Lead AI Engineer  
 
 
Location:                   Hybrid, USA 
 
Employment Type: Full-Time 
 
Compensation:        $138,000.00 - $172,000.00 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience.  
 
Benefits Offered:    Vision, Medical, Life, Dental, 401K 
 </div>
<div>
 
This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL.
 </div>
<div>
 
Summary 
 
As a Lead AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users.  
  
Your functions will involve overseeing the entire lifecycle of AI and software subsystems—from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. 
  
You will also oversee driving product direction within the team. As a Lead AI Engineer you will lead engineers through the product development lifecycle, effectively being able to convert business requirements into a successful product launch.  
  
In this position, you will also play a key leadership role, collaborating with cross-functional teams. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence.   
 
 
 
 
Primary Duties and Responsibilities 
 
<ul>
<li>Lead design sessions to decompose a business problem into a design complex systems and interfaces, ensuring they meet both technical and user requirements. </li>
</ul>
 
<ul>
<li>Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies. </li>
</ul>
 
<ul>
<li>Interact, collaborate, and present to a diverse set of stakeholders (developers, sponsors, executives) to deliver AI products </li>
</ul>
 
<ul>
<li>Must be a self-starter, continuously learning both best code practices and the latest applications and failures of AI in products, and domains of the products you integrate our AI capabilities into. </li>
</ul>
 
<ul>
<li>Troubleshoot and debug issues across the full stack, from the user interface to the database layer to ensure the reliability of the AI integrations delivered. </li>
</ul>
 
<ul>
<li>Develop both client-side and server-side parts of an application. </li>
</ul>
 
<ul>
<li>Use Python and SQL to build AI systems and functionality. </li>
</ul>
 
<ul>
<li>Troubleshoot and debug issues across the full stack, from the user interface to the database layer. </li>
</ul>
 
<ul>
<li>Lead code reviews, provide technical guidance, and mentor junior engineers. </li>
</ul>
 
<ul>
<li>Plan out product releases at a strategic and tactical implementation level for the rest of the team. </li>
</ul>
 
 
Required Education and Experience 
 
<ul></ul>
<ul>
<li>Bachelor’s degree or similar work experience </li>
</ul>
<ul>
<li>CS/DS/EE/CE Degree or similar experience </li>
</ul>
<ul>
<li>3-5 Years experience building and deploying production-level machine learning solutions or similar experience </li>
</ul>
<ul>
<li>3-5 Years of Python (or similar experience) </li>
<li>3-5 Years of frontend development experience </li>
<li>Proficiency in database schema design</li>
<li>Proficiency of distributed systems and cloud-based computing</li>
</ul>
 
 
Preferred Education and Experience 
 
<ul>
<li>Proven delivery of product solutions from idea to deployment </li>
<li>Experience with webservices and API frameworks (Flask, FastAPI, etc.) </li>
</ul>
 
 
Knowledge, Skills, and Abilities 
 
<ul>
<li>Quick learner who can understand and self-teach new technologies  </li>
<li>Ability to multi-task and prioritize ongoing activities based on importance  </li>
<li>Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)  </li>
<li>Adaptable to changes in technology and the business environment.   </li>
<li>Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner. </li>
<li>Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams. </li>
<li>Proficient organization skills to lead and deliver complex projects on schedule </li>
<li>Capable and comfortable effectively presenting in front of your peers </li>
<li>Comfortable engaging and presenting to C-level executives from time to time </li>
</ul>
 
 
Travel
 
<ul>
<li>Minimal travel will be required. </li>
</ul>
 
 
 
Who We Are 
 
OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit <a href="https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.onestream.com%2F&data=05%7C01%7Ccbaetens%40onestreamsoftware.com%7Cefb0e697518e4c23f0fc08dbc514fcc3%7Cf9796dfaf91c40958663e77a96f2d645%7C0%7C0%7C638320466155766102%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Nl1Wyl3SIFPonX%2BgKBN8QCK7IJ4IPiyyTFmec43bn7k%3D&reserved=0" target="_blank" rel="noopener">www.onestream.com</a>. 
 
Why Join The OneStream Team 
 
<ul>
<li>Transparency around corporate structure, salary, and benefits </li>
<li>Core value of customer success </li>
<li>Variety of project work (not industry-specific)  </li>
<li>Strong culture and camaraderie </li>
<li>Multiple training opportunities </li>
</ul>
 
Benefits at OneStream    OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: 
 
<ul>
<li>Excellent Medical Plan </li>
<li>Dental & Vision Insurance </li>
<li>Life Insurance </li>
<li>Short & Long Term Disability </li>
<li>Vacation Time </li>
<li>Paid Holidays </li>
<li>Professional Development </li>
<li>Retirement Plan </li>
</ul>
 
 
 
All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. 
 
OneStream is an Equal Opportunity Employer. 
 
#LI-Remote #LI-JP1
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Lead AI Engineer

Bachelor’s degree or equivalent; 3-5 years ML production experience; 3-5 years Python; 3-5 years frontend; SQL DB design; distributed/cloud computing; minimal travel.

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