Team Lead, Network Automation Infrastructure (SONiC & AI) Req ID: 134329 Region: Americas Country: USA State/Province: New Hampshire City: Remote Employee US General Overview Functional Area: Engineering Career Stream: Design - Software Engineering Job Code: SSE-ENG-DSE Job Level: Level 11 IC/MGR: Individual Contributor Direct/Indirect Indicator: Indirect Summary We are seeking a visionary Team Lead to spearhead the design and deployment of a next-generation, network device automation infrastructure. This is not a traditional "scripting" role; you will be building a full-stack, SDLC-integrated ecosystem centered around products running SONiC (Software for Open Networking in the Cloud) and OpenBMC. Your mission is to bridge the gap between cloud-native software development and physical on-prem hardware. You will lead a team in building a platform that automates everything from the moment a developer submits a Pull Request to the final Regression Validation on physical test beds using high-performance IXIA traffic generators. You will use your knowledge of AI agents to integrate intelligent workflows that can select the best automation test cases to run to analyze test failures for rapid resolution. Detailed Description Infrastructure & SDLC Integration - Architect a CI/CD Pipeline: Design the integration between Git-based workflows and physical hardware labs, ensuring code changes trigger automated builds and deployments to SONiC-based switches. - Cloud-to-On-Prem Connectivity: Lead the development of a cloud-hosted GUI and backend services that securely manage and command on-premise physical test beds. - Hardware Abstraction: Oversee the management of physical test beds, ensuring consistent state and availability for automated testing. Test Engineering & Validation - Framework Leadership: Standardize automated testing using SPyTest, ensuring robust coverage for NOS (Network Operating System) features. - Traffic Emulation: Integrate IXIA traffic generators into the automated suite to perform high-scale performance, stress, and regression testing. - Regression Management: Own the final validation gate, ensuring that no code reaches production without passing a rigorous, automated physical battery. AI-Driven Operations (The Future) - Failure Analysis Agents: Build and deploy AI/LLM-based agents to parse complex log files and SPyTest results to identify the "root cause" of test failures automatically. - Self-Healing Test Beds: Develop agents capable of test bed failure recovery (e.g., automatically power-cycling hung PDUs, re-flashing corrupted ONIE images, or re-seating virtual links). - Quality Insights: Leverage AI to analyze long-term software quality trends and predict potential regressions before they occur. Leadership & Mentorship - Lead a cross-functional team of Network, Software, and DevOps engineers. - Define the technical roadmap and drive the adoption of Platform Engineering Ops culture across the organization. Knowledge/Skills/Competencies - Networking: Deep expertise in SONiC, SAI (Switch Abstraction Interface), and standard protocols (BGP, EVPN, VXLAN). - Automation Frameworks: Expert-level knowledge of SPyTest and Python-based automation. - Hardware: Experience with IXIA (IxNetwork/IxLoad) and physical switch hardware (Mellanox/NVIDIA, Broadcom-based whitebox). - Software Development: Strong proficiency in Python, C/C++, Rust, or Java; experience building RESTful APIs and cloud-native backends (GCP/Azure). - AI/ML: Familiarity with integrating LLM APIs (like Google Gemini) for text/log analysis. - DevOps: Advanced experience with GitHub Actions, Azure DevOps or Jenkins, and containerization (Docker/Kubernetes). Physical Demands - Duties of this position are performed in a normal office environment. - Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. - Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. - Occasional travel may be required. Typical Experience - 12 to 18 years Typical Education Bachelor degree or consideration of an equivalent combination of education and experience. Educational Requirements may vary by Geography Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. What You’ll Do: - Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs. - Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment. - Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity. - Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets. - Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption. - Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.  What You’ll Need to Succeed: - Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations. - Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections). - Understanding of multimodal data synchronization, timestamp alignment, and multi‑sensor calibration workflows. - Experience with distributed compute frameworks (Ray, Spark, Beam) and cloud‑based platforms like Anyscale and Databricks for large‑scale data‑pipeline execution. - Experience with high‑performance computing techniques, including vectorized data processing (NumPy), multithreaded or parallel execution, and GPU‑accelerated compute for optimizing large‑scale sensor‑data workloads. - Proficiency in Python, SQL, Shell Scripting. - Experience with major cloud providers like AWS, Google Cloud Platform (GCP) or Azure. - Operates with broad autonomy, leading complex technical work and driving alignment across team boundaries. - Owns key data‑pipeline and converter solutions end‑to‑end, setting direction and building consensus. - Provides project leadership and mentors less‑experienced engineers to ensure high‑quality execution. Bonus Points! - Working experience with design patterns & frameworks development for ML & operational data pipelines in the cloud - Familiarity with 3D labeling and CV annotation workflows. - Experience optimizing I/O‑heavy workloads, including columnar formats (Parquet, Arrow). - Knowledge of orchestration tools (Airflow, Argo, Prefect). - Hands‑on experience designing CI/CD automation for data services, including GitHub Actions, Databricks pipelines, and cloud‑native deployment workflows - Background in Agile Engineering Practices. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: - A competitive compensation package that includes a bonus component and stock options - 100% paid medical, dental, and vision premiums for full-time employees - 401K plan with a 6% employer match - Flexibility in schedule and generous paid vacation (available immediately after start date) - AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job ID: R-102555 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications. What You’ll Do: - Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads. - System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency. - Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment. - Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities. - Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure. What You’ll Bring to DigitalOcean: - Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security. - Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus. - AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows. - Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions. - Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership. - Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication. Compensation Range: - $139,200.00 - $174,000.00 *This is a remote role JR: 2026-7623 #LI-Remote Why You’ll Like Working for DigitalOcean - We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. - We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. - We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. - We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. - DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

• Assist in the creation and maintenance of Delphi code; • Write code and perform testing, documenting all changes made.