• Design, implement, and manage core infrastructure on Google Cloud Platform (GCP) • Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related technologies • Automate infrastructure life cycle using Terraform and Terragrunt • Implement and maintain CI/CD pipelines and deployment tools like Flux and Helm • Optimize and manage multi-tenant data layer on Postgres and Neon

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world. By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next. At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future. The Role Provide expert technical direction across multiple and complex systems, including planning, designing, implementing, and maintaining enterprise-level network infrastructure. This role combines advanced networking expertise with collaboration and leadership to ensure optimal network performance, security, and scalability across the organization. The position requires working with cross-functional teams, mentoring junior engineers, and processing service requests for complex networking challenges while maintaining high availability and security standards. You must be a US Citizen or Permanent Resident/Green Card for consideration for this position. This position will have support responsibilities for Government contracts and will additionally require successfully passing GSA suitability (public trust/Tier 2S) investigations. Location This is a work from home position within the US. The Main Responsibilities - Engineer and support routing & switching services with day-to-day and on-call responsibilities. - Deliver and maintain data center fabric / SDN environments including service requests, upgrades, problem remediation, and standardization across environments. - Perform complex network changes and migrations ensuring change planning, risk management, rollback readiness, and post-change validation. - Assist with load balancing operations and request fulfillment - Provide escalation and incident leadership for complex, cross-domain outages and degradations; drive root-cause isolation, restoration, and durable fixes while coordinating stakeholders. - Familiarity with hybrid connectivity patterns that integrate on-prem and cloud network services, ensuring seamless routing, segmentation, and operational supportability for migrations and steady-state operations. - Monitor and optimize network health using observability and diagnostic tooling, proactively identifying risks and improving reliability. - Develop and maintain engineering documentation including network/service diagrams, design references, operational runbooks, and standards. - Familiarity with automation and operational efficiency of operational tasks. - Collaborate with internal partners and external vendors to deliver business-focused solutions. - Mentor and provide technical leadership through peer reviews, knowledge sharing, and setting best practices for consistent engineering outcomes. What We Look For in a Candidate - Bachelor’s degree or equivalent education and experience with typically 5+ years Enterprise level support and design experience - Data Center Experience: Proven experience, or a willingness to learn, maintaining Cisco ACI. - Networking Technologies: Demonstrated expertise in implementing and managing enterprise-level services including advanced routing protocols (BGP and OSPF), virtual routing (VRFs), and network segmentation. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $105,786 - $141,047 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $111,074 - $148,099 in these states: CO HI MI MN NC NH NV OR RI $116,364 - $155,152 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's:BenefitsBonus Structure#LI-Remote #LI-ZM1 Requisition #: 341755 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Privacy Notice Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. To review Lumen’s Privacy Notice, please visit: https://jobs.lumen.com/global/en/privacy-notice Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Description At 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. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Infra Engineer on the Offboard Perception team within the Embodied AI organization, you will be a senior engineer responsible for developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams, including onboard model teams, simulation, and evaluation. The models you build will influence every stage of autonomous vehicle development-from training and validation to testing and safety. You will work closely with cross-functional engineering teams, help shape technical direction in your domain, and support other engineers' growth through collaboration and mentorship. You will also help transition research into scalable onboard ML capabilities while continuously improving the autonomy stack. What You'll Do - Design, build, and maintain ML infrastructure that enables rapid development, training, evaluation, and deployment of offboard perception models. - Own the integration of models into production systems, including packaging, validation, deployment, rollout strategies. - Implement CI/CD pipelines for ML systems, including automated testing, model validation, performance regression checks, and deployment automation. - Establish model evaluation and observability frameworks, including training metrics, inference performance metrics, data quality checks, and production monitoring dashboards. - Develop infrastructure for experiment tracking and benchmarking, enabling teams to compare model architectures, datasets, hyperparameters, and training procedures in a reliable and repeatable way. - Support efficient dataset curation and ingestion pipelines that help prioritize high-value data, accelerate iteration cycles, and improve model performance on hard-edge cases. - Partner with ML engineers, researchers, and software teams to ensure models can be reliably integrated into larger autonomy stacks and production services at scale. - Define and enforce best practices for ML systems engineering, including reproducibility, configuration management, artifact management, security, and operational readiness. - Support technical collaboration through code reviews, design reviews, and mentorship, helping raise the quality and maintainability of ML infrastructure across the organization. Your Skills & Abilities - Strong software engineering fundamentals, including experience building reliable, maintainable, and scalable production systems. - Proficiency in Python, with experience using ML and scientific computing libraries such as PyTorch, NumPy, and related tooling. - Experience building and supporting ML training and deployment pipelines, including data processing, experiment execution, model packaging, and production rollout. - Experience deploying ML models into production environments, with understanding of end-to-end workflows such as validation, serving, monitoring, and lifecycle management. - Familiarity with distributed training and large-scale compute infrastructure, including GPUs, cluster scheduling, and performance optimization for training workloads. - Experience with containerization, orchestration, and automation tools such as Docker, Kubernetes, workflow schedulers, and CI/CD systems. - Experience with model observability and operational metrics, including training metrics, inference performance, reliability monitoring, and data/model drift detection. - Strong communication and collaboration skills, with the ability to work effectively across ML, software, data, and systems engineering teams. - Experience in robotics, perception systems, or autonomous driving is preferred. Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. 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 the California Bay Area. - The salary range for this role is $189,300.00 to $290,700.00. 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. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-CX1 #GM-AV-1 About GM Our 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. Total Rewards | Benefits Overview From day one, we'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 Total Rewards resources. 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 How we Hire. Accommodations General 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, email us [email protected] 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.

Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About the role: We're looking for an Infrastructure Engineer to join the Platform Infrastructure team at Upside. This team builds and supports the systems that power how engineering teams develop, deploy, and operate software—from cloud infrastructure to CI/CD, observability, and security automation. In this role, you’ll work closely with product and security engineers to deliver infrastructure features that improve the reliability, efficiency, and security of our platform. You’ll contribute to core tooling, learn best practices for scaling infrastructure in a growing company, and have a meaningful impact on product delivery and developer experience. This is a great opportunity for someone with a solid foundation in infrastructure or DevOps, who is looking to deepen their impact and grow their technical breadth in a high-ownership environment. Here are some ways we have seen infrastructure engineers drive impact at Upside: - Contribute to infrastructure initiatives that improve platform reliability, security, and developer experience, such as CI/CD pipeline improvements, cost optimization, and automation of manual workflows. - Collaborate with teammates and product engineers to identify pain points in build, test, or deploy workflows and deliver well-scoped improvements using existing platform tools and patterns and developing new ones where needed. - Implement infrastructure-as-code modules using Terraform, helping maintain and extend AWS resources in a reliable and consistent way. - Participate in the team’s shield rotation, helping investigate org-wide issues, respond to incidents, and ensure our systems are resilient and well-monitored. - Document your work clearly, contribute to team best practices, and help others adopt infrastructure patterns by sharing knowledge in Slack, Confluence, and GitHub. - Provide guidance to more junior team members when applicable, and proactively seek feedback and mentorship to support your growth. Why You Should Apply This role is a good fit for you if: - You aren’t afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change. - You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently. - You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructure to reduce toil and improve outcomes for the team and end users. - You believe that pulling quality upstream starts with engineering. You champion best practices, encourage early testing and validation, and work closely with peers to build a culture of quality from the ground up. Ideal Qualifications - Have 6+ years of experience in an infrastructure, DevOps, platform, or SRE role supporting production systems. - Are familiar with AWS, Terraform, and Github (or equivalent infrastructure tooling), and excited to deepen your knowledge in these areas. - Are proficient in at least one scripting or programming language, such as Python, Bash, or Go. - Have experience working with CI/CD systems like GitHub Actions, Jenkins, or similar tools. - Understand the value of monitoring, alerting, and observability and have contributed to system reliability efforts. - Take initiative to understand the systems you work on, ask thoughtful questions, and raise blockers early. - Communicate clearly and work collaboratively within a team environment, contributing to planning and retrospectives. Engineering Culture: We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work, collaborate effectively with team members, and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation. Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside’s in-office policy over time. Compensation: The US base salary range for this full-time position is $170,000 - $210,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. #LI-Hybrid #LI-NE1 Benefits: - Medical, dental, and vision coverage starting on Day 1 - Equity (ISOs) - 401(k) program - Family planning programs + paid parental leave - Physical fitness and wellness memberships - Emotional and mental health support programs - Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break - Flexible work environment - Lunch reimbursement for in-office employees - Employee Resource Groups - Learning and Development stipend - Transparent culture - Amazing mission! Diversity and Inclusion: Diversity drives innovation, and our differences make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here! If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com. This email is for accessibility accommodations only, it should not be used to submit job applications. Notice To Recruiters And Placement Agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.