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Mechanical Design Engineer Location: Calgary, Alberta Job Type: Full-time, in person Join the TCG Machines Team! TCG Machines designs and builds the PhyzBatch-9000, the automated trading-card sorting and identification system that game stores and card businesses use to process their inventory. The PhyzBatch runs in hundreds of stores across the world and has processed over a billion cards. It works with the marketplaces and point-of-sale systems our customers already use. We design and build it all in our Calgary facility: mechanical, electronics, firmware, machine vision and software, then assembly, test and delivery. The role You'll own major mechanical subsystems of our product [card feed, transport, imaging enclosure, sorting mechanism] from first sketch in SolidWorks through prototype, testing and production. You'll work closely with our software and electronics people, so you need to be comfortable with how motors, sensors and boards fit into a mechanical design, even if you're not writing the firmware yourself. What you'll do Design mechanical parts and assemblies in SolidWorks for our next-generation machine, from concept to production release. Build, test and iterate prototypes, 3D-printed, machined and sheet metal and run the tests that prove them out. Integrate motors, sensors, cameras, PCBs and wiring into the mechanical design with our electronics and software team. Design for manufacturing and assembly (DFM/DFA) so builds are repeatable, serviceable and cost-effective. Create and maintain drawings (with GD&T), BOMs and assembly instructions for the build floor. Work with suppliers on quotes, quality and lead times for custom parts. Support pilot builds and early production: troubleshoot issues and roll fixes back into the design. Help estimate effort and keep the program schedule realistic. What you bring Bachelor's degree in Mechanical Engineering, Mechatronics or similar (APEGA registration or eligibility is an asset). 3?7 years designing electromechanical products, ideally taking at least one from concept to production. Strong SolidWorks skills: parts, assemblies, drawings, configurations and BOMs. Working knowledge of DFM/DFA and common processes: sheet metal, machining, injection molding, 3D printing. Comfortable reading and applying GD&T and tolerance stack-ups. Basic embedded systems knowledge: how microcontrollers, motor drivers and sensors talk to each other, and enough to debug a setup on the bench. Hands-on with prototypes: shop tools and soldering. Clear communicator who's happy working across mechanical, electrical, software and production in a fast, iterative team. Nice to have Experience integrating PCBs, cable harnesses and connectors into enclosures (ECAD/MCAD collaboration). Motion and mechanism design: stepper/servo motors, belts, rollers, linear motion, paper or card handling. Experience with cameras, optics or lighting in machine-vision products. Familiarity with a PLM/PDM system and design reviews. Startup or small-team hardware experience; low-volume manufacturing. What we offer Real ownership of the product. A small team where you work directly with leadership, software, production and customers. Health and dental benefits Paid time off, flexible hours, professional development budget. How to apply Apply through Indeed with your resume and a cover letter. A link to a portfolio showing hardware you?ve designed is preferred, screenshots, drawings or photos are welcome. TCG Machines is an equal opportunity employer. Job Type: Full-time Pay: $75,000.00-$100,000.00 per year Benefits: Casual dress Dental care Disability insurance Extended health care On-site parking Paid time off Vision care Application question(s): Are you located in Calgary, Alberta? Have you taken a mechanical product or subsystem from concept through to production? Please briefly describe your role. * How many yea

We are currently searching for a dynamic Pricing/Business Analyst at our St. John's office. Reporting to the Assistant Controller - Revenue, The Pricing/Business Analyst will respond to competitive rate analysis and requests from external as well as internal users through electronic media with the support of the rating and logistics modules, and other tools. He/she will prepare analysis and rates for special projects from the Commercial and Business Development teams.Tasks and responsibilitiesRespond to analysis and requests for pricing/business information from customers and Commercial staff, as required, including terms and conditions.Actively assist commercial efforts through practice of exceptional customer service by focusing on relationship building.Interface with the Invoicing Department on sales transacted outside the prescribed invoicing process, including the investigation of invoicing discrepancies and disposition, as directed.Respond to requests for analysis of pricing discrepancies.Assist the Assistant Controller - Revenue with special projects and RFPs, including recommendations.Prepare departmental reports, as directed.Perform other duties, as assigned.QualificationsUniversity degree in transportation, administration, cost accounting or equivalent combination of experience and education.Minimum of 5 years of accounting, costing models, sales and/or related experience.Experience in transportation industry.Knowledge of AS400 (an asset).Strong knowledge of MS Office (mainly excel and word).SkillsStrong organizational and priority management skills.Ability to work with limited supervision and under pressure.Excellent written and oral communication skills.Good interpersonal skills.Ability to respond promptly to clients' needs.You are interested and believe you have all the qualifications? Please forward your resume as soon as possible at:www.oceanex.com/hrOceanex Inc. is committed to equity in employment and encourages all qualified individuals to apply. We thank all candidates for their interest but wish to advise that only those selected for an interview will be contacted. No telephone inquiries please.OCEANEX INC. is Atlantic Canada's leader in intermodal transportation and has serviced the Newfoundland market for more than 100 years. We provide door-to-door transportation service from anywhere in North America to destinations in Newfoundland and Labrador.We offer our employees a positive work environment, competitive salaries, and excellent benefits as well as an entrepreneurial environment with solid career progression based on a result driven culture. When you are a member of the Oceanex team, you enjoy a stable career where your ideas are encouraged, and skills valued.We are very proud of our strong team of 400 employees and their exceptional commitment to safety, the environment, and our customers.

We are looking for a reliable, organized, and detail-oriented Bookkeeper to manage our day-to-day financial records and support the smooth operation of our business. This role will work closely with company ownership, suppliers, customers, and employees to keep our finances accurate and up to date. Responsibilities: Bookkeeping Manage accounts payable and accounts receivable. Process supplier invoices and customer payments. Reconcile bank accounts, credit cards, and other financial accounts. Prepare and issue customer invoices and statements. Follow up on overdue accounts and outstanding payments. Maintain organized digital and physical financial records. Job Costing & Project Tracking Track costs for individual cabinetry and millwork projects. Monitor material costs, labour costs, and other project expenses. Assist with comparing actual project costs against budgets and estimates. Identify outstanding invoices, unexpected expenses, and potential cost overruns. Maintain accurate records of customer deposits, progress payments, and final payments. Qualifications Previous bookkeeping experience, preferably in manufacturing, cabinetry, millwork, or a related industry. Experience with accounting software QuickBooks Online Knowledge of accounts payable, accounts receivable, bank reconciliations, and payroll. Familiarity with HST and Canadian bookkeeping requirements. Strong organizational skills and attention to detail. Ability to manage multiple priorities and meet deadlines. Good communication skills when dealing with customers, suppliers, and employees. Proficiency with Microsoft Excel and other standard office software. Ability to work independently, take initiative, and maintain confidentiality. What We're Looking For The ideal candidate is organized, dependable, and takes ownership of their work. They follow through on outstanding items, maintain accurate records, and can work independently without constant supervision. We are looking for someone who can help us stay on top of our finances, improve our bookkeeping processes, and provide ownership with an accurate picture of project costs and the financial health of the business. What We Offer Opportunity to join a growing custom cabinetry and millwork company. Direct communication and collaboration with company ownership. * Opportunity to improve and develop financial and administrative processes. Pay: $21.75-$30.00 per hour Work Location: In person

Veterinarian ? Royal York Animal Hospital (Etobicoke, ON) About Us Royal York Animal Hospital is a long-established, AAHA-accredited small animal practice serving generations of families in our Etobicoke community for more than 30 years. We?re proud to provide gold-standard medical and surgical care with compassion, respect, and professionalism. Our clients are engaged, trusting, and deeply connected to our team ? and we work hard to deliver the level of service they expect and deserve. Our hospital is equipped with ultrasound, laser therapy, and full in-house diagnostics. We practice progressive, evidence-based medicine in a collaborative environment where every team member?s contribution matters. The Opportunity We are seeking a part-time Veterinarian to join our growing team. This role is specifically for Saturdays and/or Sundays at the moment (we can negotiate if you prefer one or both)m, with the possibility of expanding the role as our scheduling needs shift. The ideal candidate brings 3?5+ years of experience in small-animal general practice, strong communication skills, and a genuine appreciation for teamwork and client relationships. Proficiency in soft-tissue surgery and/or dentistry is required. This is an excellent opportunity for a motivated DVM who enjoys both medicine and leadership. What You?ll Find Here A supportive, well-trained, and respectful team - everyone pulls together and takes pride in their work. A proactive management team committed to continuous improvement, clear protocols, and outstanding client care. A modern facility with ultrasound, digital radiography, laser therapy, and full IDEXX lab suite. A strong client base of long-standing, loyal families who value high-quality care. AAHA-certified standards and a commitment to professional excellence. Schedule This is currently a part-time position, requiring Saturdays and/or Sundays and there is room to negotiate whether you would like to work one or both. There may be the opportunity to expand the role as our schedule changes, and as it suits all parties. To Apply If you?re a dedicated veterinarian who values teamwork, client relationships, and practicing high-quality medicine in a well-organized environment, we?d love to meet you! Apply through Indeed Pay: $120.00-$140.00 per hour Benefits: On-site parking Store discount Application question(s): Are you comfortable working as the sole veterinarian on duty some shifts? Licence/Certification: * DVM License to Work in Ontario, No Restrictions (required) Work Location: In person

Manager, Technical Services Full-Time Indeterminate Position, Current Vacancy Operations Division About Us SNOLAB is Canada?s deep-underground science laboratory, located at a depth of 2 kilometers in Vale?s Creighton Mine near Sudbury, Ontario. The facility supports world-class astroparticle physics research and has attracted innovative life science and quantum technology programs.?SNOLAB operates in a controlled, air-conditioned clean-room environment, supported by a suite of surface facilities and laboratories, supported by a multidisciplinary team of scientists, engineers, skilled tradespeople, technical staff, and support staff. By hosting and enabling the world?s most advanced and sensitive underground experiments, SNOLAB bolsters Canada?s scientific reputation, attracts new talent to our country and Northern Ontario, trains more highly skilled people, provides more opportunities for Canadian researchers to lead international projects, and generates economic benefits for Ontarians and Canadians. The Position The Technical Services Manager is responsible for the management and performance of the technical and trades staff (eg. mechanical, electrical, and instrumentation), and for the management and maintenance of the machine shops, tools, and equipment. Additionally, they are accountable for the mobile fleet, all the facility lifting devices, and scaffolding systems. The position involves project and work planning, scheduling and planning resources, and consulting with SNOLAB and external project groups on their trade resource requirements. The manager will create and maintain electronic workflows to import work requests, provide access through the SharePoint, and interface to asset management and change control processes. The manager will also chair hazard and technical reviews, participate and report in science collaboration meetings, and conduct all other general management responsibilities. Provides technical and managerial leadership for the Technical Services and Logistics groups, ensuring the safe and efficient delivery of maintenance, trades, and logistical support for SNOLAB operations. Oversees departmental planning, budgeting, resource allocation, and scheduling to support operational priorities and SNOLAB?s strategic objectives. Directs the maintenance, inspection, and management of surface and underground facilities, machine shops, equipment, and assets to ensure reliability, safety, and regulatory compliance. Leads workforce planning, staff development, performance management, and labour relations, fostering accountability, teamwork, and compliance with collective agreements and organizational policies. Coordinates technical services and logistics activities with Vale, internal departments, scientific project teams, and external partners to support operational requirements, infrastructure projects, and underground access. Oversees continuous improvement, technical reviews, hazard assessments, regulatory inspections, and emergency response to strengthen operational readiness, safety, and overall performance. Closing Date: November 4, 2026 Applications will be accepted until ?11:59pm? Eastern Time. Criteria ­Education: An advanced diploma in engineering technology from a recognized institution, OR a B.Eng. or B.S. degree in a relevant engineering or science discipline. Certified Engineering Technologist (C.E.T.) designation in Ontario, OR registration as a professional engineer in Ontario (P.Eng.), or eligibility for registration, is preferred. A Red seal certification in a relevant trade is considered an asset. Experience: Experience managing a mechanical installation crew or construction environment. Experience working with the Occupational Health and Safety Act, with emphasis on Regulations 851 and 854. Experience communicating, liaising, negotiating, and coordinating with external stakeholders, contractors, and regulatory inspection bodies. * Experie

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI/ML Engineer – Senior Level , you will engage in all phases of the data management and machine learning lifecycles to include requirement analysis, collection, processing, statistical analysis of data, monitoring of model performance, and adhere to related risk requirements. You will develop and maintain technical systems that use machine learning models to make predictions used for classification and/or decision making. What You Will Do Consults with data scientists and business partners on approaches involving ML model development and implementation. Provides technical feedback on ML solutions within technical lead community. Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases. Works with architects to influence and define ML model implementation patterns in complex environments. Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation. Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Assists in setting technical direction for the team and serves as a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of machine learning engineering, data engineering, or software development experience implementing data solutions to include 2 years demonstrated technical leadership experience and/or leading teams. Extensive programming experience using Python, Java, or R. Extensive data engineering experience. Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Experience completing multiple projects leveraging the agile methodology in implementing ML models. Experience leveraging ML Ops principles and implementing automated workflows. Demonstrated ability to mentor junior members of the technical team in area of expertise. Knowledge of Data Science principles and methodologies. Knowledge of stochastic modeling, machine learning, and other advanced mathematical techniques. Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker. Compensation range: The salary range for this position is: $143,320 - $273,930 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. 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.

Join Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety , service excellence , integrity , innovation , teamwork , and responsibility . With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: Atlas Air is seeking a Data Engineer to join our Data Platform and Engineering team. This is an early-career individual contributor role for an engineer who can deliver well-defined data solutions with guidance, build strong engineering fundamentals, and grow ownership over increasingly complex work. As we continue to build our data environment on Databricks, you will help build and operate reliable data pipelines, transformations, and data models. You will work within established architecture and standards, partner with more experienced engineers, and author production-quality code that supports analytics, data science, AI/ML, and operational decision-making. Major Accountabilities Data Pipeline Development Build, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources using established patterns and frameworks. Develop data transformations that convert source data into accurate, documented, and reusable datasets. Implement data models and data products based on defined business requirements and technical designs. Use Databricks, Spark, orchestration tools, and cloud services to complete scoped engineering work with support from senior team members. Participate in code reviews and incorporate feedback to improve code quality, maintainability, and performance. Data Quality & Operations Create automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop. Investigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately. Produce clear technical documentation, including data definitions, lineage, runbooks, and support notes. Participate in the team's on-call and incident response practices, with appropriate guidance and escalation support. Follow established security, privacy, governance, and access control requirements. Collaboration & Growth Work with Data Analytics, Data Science, Software Engineering, IT, Security, and business partners to clarify requirements and deliver fit-for-purpose solutions. Break defined requirements into engineering tasks, communicate progress and risks, and deliver work within agreed timelines. Contribute to team standards for source control, testing, CI/CD, documentation, and operational readiness. Learn the Atlas Air business domain and use that understanding to improve the usefulness and reliability of data products. Seek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience. Minimum 1 year of professional experience in data engineering, software engineering, analytics engineering, or a closely related field. Working proficiency in SQL and at least one general-purpose programming language (e.g., Python, TypeScript, Rust, Java, C++, etc.). Experience building or supporting data pipelines, transformations, or data models in a professional, internship, academic, or substantial project setting. Familiarity with core data engineering concepts, including ETL/ELT, relational data modeling, data quality testing, and pipeline orchestration. Experience with Git-based development practices and an understanding of code review, automated testing, and deployment workflows. Ability to troubleshoot technical issues methodically, communicate clearly, and collaborate effectively with technical and non-technical partners. Desired Qualifications Hands-on exposure to Databricks, Apache Spark, or another distributed data-processing platform. Experience with dbt or a similar transformation framework and an orchestration tool such as Airflow, Prefect, or Dagster. Familiarity with one major cloud platform and its data services: AWS, Azure, or GCP. Exposure to streaming or event-driven technologies such as Kafka, Kinesis, Spark Structured Streaming, or Flink. Familiarity with BI, data science, or machine learning workflows and the data products that support them. Experience in aviation, transportation, logistics, or another operationally complex industry. Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $73,500—$100,000 USD At Atlas Air Worldwide , we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Position Details Title: Sr. Data Engineer Department: Information Technology Reports to: Sr. Manager, Data Engineering Location: Dearborn, MI Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job Summary The primary responsibility of this position is to design, build, optimize, and support secure, reliable, and scalable enterprise data solutions. The Senior Data Engineer provides technical leadership for Azure Databricks and Lakehouse architecture, data pipeline design and orchestration, data modeling and performance optimization, cloud-native data platforms, data governance and quality, and AI/ML-ready data products. This role mentors engineers and collaborates across business, analytics, architecture, security, and application teams to deliver trusted data for reporting, advanced analytics, machine learning, and operational use. Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Associate Responsibilities Design, develop, test, deploy, and support scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, Python, PySpark, SQL, and related cloud-native services. Design and evolve Lakehouse architecture using Delta Lake and Azure Data Lake Storage, including reusable data products and medallion-oriented data layers where appropriate. Create and optimize conceptual, logical, dimensional, relational, and physical data models that are aligned with business meaning and analytical requirements. Optimize pipelines, SQL queries, clusters, storage layouts, and processing patterns for performance, reliability, scalability, and cost effectiveness. Implement orchestration, dependency management, scheduling, monitoring, logging, alerting, error handling, recovery, lineage, and observability for production data workloads. Apply data governance and quality practices, including metadata, cataloging, validation, reconciliation, security, privacy, retention, and access controls. Engineer trusted, well-documented, and reusable datasets and features that support reporting, advanced analytics, data science, and AI/ML use cases. Lead technical design discussions, establish engineering standards and reusable patterns, conduct code and design reviews, and document architecture decisions and tradeoffs. Mentor data engineers through pairing, technical guidance, code reviews, troubleshooting, coaching, and clear documentation. Partner with business stakeholders, analysts, data scientists, product owners, architects, security teams, application teams, and vendors throughout the solution life cycle. Apply software engineering practices including Git-based source control, automated testing, CI/CD, deployment automation, and infrastructure configuration. Provide advanced production support, root-cause analysis, corrective actions, and continuous improvement for complex data platform and pipeline incidents. Required Education Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field or equivalent related experience. Graduate degree preferred. Required Skills & Experience Minimum of 8 years of professional experience in data engineering, data warehousing, business intelligence, cloud data platforms, or a related field. Demonstrated experience designing, implementing, and supporting enterprise data solutions using Azure Databricks and Lakehouse architecture. Advanced experience with data pipeline design and orchestration, including batch and streaming patterns, dependencies, scheduling, monitoring, and recovery. Advanced SQL skills, including data modeling, query optimization, performance troubleshooting, and complex analytical transformations. Professional experience with Python and distributed data processing frameworks such as PySpark. Experience with Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Unity Catalog, Azure DevOps, and related Microsoft Azure data platform services. Experience designing conceptual, logical, dimensional, relational, and physical data models for analytical and operational use. Experience optimizing cloud workloads for performance, scalability, reliability, and cost effectiveness. Working knowledge of data governance, metadata, cataloging, lineage, data quality, security, privacy, retention, and access-control principles. Experience preparing trusted, governed, reusable, and well-documented data products that enable reporting, advanced analytics, data science, machine learning, generative AI, and future AI-driven business capabilities. Experience with Git-based development, code reviews, automated testing, CI/CD, and deployment automation. Experience integrating data from SAP, SAP Datasphere, APIs, files, events, product and master data platforms, and third-party enterprise systems. Demonstrated technical leadership through architecture and solution design, engineering standards and best practices, design reviews, mentoring, code reviews, reusable patterns, and technical guidance across delivery teams. Excellent verbal and written communication skills, including the ability to explain technical designs, risks, decisions, and tradeoffs to technical and business audiences. Strong cross-functional collaboration skills with business partners, analysts, data scientists, product owners, architects, security teams, and application teams. Ability to isolate complex problems, evaluate options, make practical decisions, and provide advanced production support during critical incidents. Professional cloud or data engineering certification considered a plus. Physical Requirements And Working Conditions Normal office environment. Extended periods of time sitting, standing, typing on a computer is required. Willing to work some weekends if necessary. This position has a Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events. Carhartt is a tobacco free workplace. This position offers a comprehensive suite of medical, dental, and vision insurance for associates and their dependents. In addition to healthcare coverage, Carhartt provides short-term and long-term disability insurance, life insurance, an employee assistance program, and a 401(k) plan with employer matching contributions. Employees can also benefit from paid time off and designated paid holidays. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. All associates are required to understand and act in accordance with the Carhartt Core Values. Carhartt reserves the right to change, modify, suspend, interpret or cancel in whole or in any part, the job duties outlined above at any time and without advance notice to the employee.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking an experienced Senior Staff DevOps Engineer to lead the design, build, and operation of the infrastructure that underpins the build pipelines that allow our companies to produce and deliver vehicle firmware and embedded software. You will play a key role in setting the direction of our technical foundation and our approach to DevOps as a culture. You will partner with our architect and team members to turn architectural vision into reality, including maturing our Infrastructure as Code practices and modernizing legacy systems and processes. This position demands a deep understanding of cloud-native ecosystems, critical thinking, a strong point of view on managing infrastructure as code, and a practical, collaborative, customer-service mindset to help enable our large developer organization. Responsibilities Lead the design and implementation of infrastructure components from a developer platform mindset, including centralized developer portals and tooling to reduce developer cognitive overhead. Architect our build and release infrastructure for redundancy and scale, including software artifact storage, source control, parallel build execution, and maintenance with vendors. Drive our migration to Bazel, including remote execution, to improve build speed and reliability. Own our AWS footprint, driving improvements in multi-region availability, disaster recovery, and cost efficiency. Define and enforce Infrastructure as Code (IaC) patterns and standards using Terraform and Atlantis, with code as the source of truth for cloud configuration. Maintain the library of modules used across the engineering organization. Identify and remediate legacy infrastructure and process gaps, bringing existing resources under consistent IaC management. Build and support mobile CI infrastructure for iOS and Android apps, including environments that start clean and quickly on fresh machines (e.g., Veertu Anka). Support and improve GitLab and CI pipelines through automation, monitoring, controls, and version standards. Develop and optimize custom Kubernetes operators and controllers to automate stateful services, ensuring high availability and performance. Design and build robust, automated security controls and policy-as-code to ensure platform compliance. Identify friction points across the organizations that operate on top of our infrastructure and collaboratively build intuitive tools that improve the developer experience. Mentor senior, mid-level, and junior engineers through code reviews, design reviews, pair programming, and technical leadership. Work closely with engineering teams in an agile (Scrum) environment to gather requirements, identify dependencies, and provide technical input on risk mitigation. Qualifications Minimum Qualifications: 10+ years of relevant experience in Platform Engineering, DevOps, or SRE roles. Expert proficiency with Infrastructure as Code, preferably Terraform, including designing reusable modules and managing state at scale. Deep understanding of Kubernetes internals, networking, storage, and service mesh architectures. Proven track record implementing GitOps workflows using ArgoCD or Flux in production environments. Strong understanding of automation and scripting (e.g., Python, Bash, GoLang). Strong experience with one of the major Cloud Service Providers (AWS, Azure, or GCP), including IAM, compute, networking, and storage layers. Experience designing, maintaining, and optimizing CI/CD pipelines and build systems at scale. Experience with GitLab, Bazel, or mobile (iOS/Android) builds is a plus. Proven ability to establish and enforce engineering standards across an organization. Ability to clearly communicate technical concepts to peers, leadership, and stakeholders. Experience leading architectural discussions and decisions in a collaborative environment. Track record of mentoring engineers and sharing technical knowledge. Total Rewards We build the exceptional — and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program. Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements. In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees — including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs . External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site ( https://rivianvw.tech/#careers ). If you are a current employee, please apply through our internal job board . Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and Volkswagen Group Technologies" may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 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If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. -- Please note this job posting represents an open, active vacancy. Additionally, we are not currently accepting applications from third party application services. Compensation Range: $186,000 - $255,750

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We're hiring a Senior Software Engineer for our Inference Cloud team. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and global scale. This is a hands-on individual contributor role focused on building cloud services and the Kubernetes infrastructure that runs them. You'll design and own cloud components, improve request routing and service connectivity, work with production databases, and debug issues across the stack. You'll take projects from design through rollout and ongoing operation, partnering closely with ML, Product, and Infrastructure teams. Responsibilities Kubernetes Infrastructure. Build and improve production Kubernetes environments on Amazon EKS. Own improvements to workload scheduling, autoscaling, cluster upgrades, resource utilization, network policies, and failure recovery. Service Networking & Traffic Control. Develop and operate traffic management infrastructure using Envoy and Istio. Improve routing, rate limiting, connection management, timeouts, retries, and failover to keep services responsive under changing demand. Databases. Build database-backed services and improve the reliability and performance of their data stores. Troubleshoot query performance, connection pooling, and availability issues, and strengthen backup and recovery practices. Reliability & Performance. Identify bottlenecks across applications, Kubernetes, networking, and databases. Improve latency, throughput, and capacity efficiency in high-QPS systems, including during traffic spikes and partial failures. Infrastructure & Deployment Automation. Use Terraform, Argo CD, and Kustomize to automate infrastructure provisioning and application delivery. Improve deployment validation, rollback, and operational tooling. Production Operations & Collaboration. Build actionable metrics, logs, traces, dashboards, and alerts. Investigate incidents, deliver lasting fixes, and contribute to design reviews, code reviews, and shared engineering practices. Skills & Qualifications 5+ years of software engineering experience, including building and operating production services or cloud infrastructure. Strong Kubernetes expertise, including workload lifecycle, networking, service discovery, storage, autoscaling, and troubleshooting cluster and application failures. Hands-on experience with Amazon EKS or a comparable managed Kubernetes service. Experience configuring and troubleshooting Envoy and Istio, or comparable proxy and service mesh technologies. Solid understanding of HTTP, gRPC, DNS, TLS, and mTLS. Experience developing services that use production databases, with practical knowledge of query optimization, indexing, connection management, and database reliability. Strong programming skills in Go or another backend or systems language, with the ability to write, test, and maintain production software. Experience with infrastructure as code and automated deployment workflows using Terraform, Argo CD, Kustomize, or equivalent tools. Experience diagnosing performance and reliability issues using metrics, logs, and tracing. Ability to independently deliver projects, explain technical tradeoffs, and collaborate effectively across engineering teams. Preferred Skills & Qualifications AWS networking experience, including VPNs, Transit Gateway (TGW), Direct Connect (DX), VPC routing, and security groups. Experience designing distributed systems, including replication, consistency, fault tolerance, and multi-region operation. Production programming experience in C++. Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience reducing time to first token (TTFT) and tail latency is a strong plus. Familiarity with ML inference infrastructure or model serving systems. Why Join Cerebras About People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here ! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. 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Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.