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Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Data Scientist to develop and deploy models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions. The successful candidate will have the opportunity to conceive and deliver innovative data science solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change, and national security. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data science products and ecosystems. At Capgemini, we are committed to our staff's professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what's possible to the Federal Government. Job Responsibilities As a Data Scientist you will: Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems Deploy data science and AI/ML solutions and develop methodologies to scale up Present and articulate findings and present solutions to clients and team members Collaborate with internal and external stakeholders to pattern analysis, predictive modeling, intelligent automation, GenAI, OCR, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence Maintain knowledge of advances of data science in industry and academia Contribute to the overall growth of the Data and AI practice Required Qualifications U.S. Citizenship is required Eligible to obtain and maintain a Government Security Clearance Be at client site full time in Washington, DC Bachelor's degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred Minimum of three (3) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery responsibilities such as: Designing and developing data models and algorithms for multi-objective optimization and decision making Building and deploying predictive and prescriptive analytics Conducting hypothesis testing, statistical and probability analyses Applying appropriate methods to describe statistical relationships between variables Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining Experience using tools such as Databricks; Azure's Machine Learning and AI Services; AWS's SageMaker and Bedrock Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir Experience collecting in managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access Ability to multi-task and stay flexible in a dynamic work environment Preferred/Nice to Have Qualifications Active Government Security clearance Experience developing algorithms for High-Performance Computing (HPC) environments using custom multi-core desktop computers and MS MPI Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka Experience working in an IT project team following SDLC and DevOps methodologies About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k - $120k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

We're Hiring! Implementation Engineer on W2 (Nokia NetGuard) Location: 100% Onsite (Remote option under consideration)? Contract Length: 1 Year (Extension Possible)only W2 candidates Start Date: ASAPNEXTLabs Innovation Labs is looking for a talented Implementation Engineer to join our team and work on deploying and supporting cutting-edge enterprise security and cloud infrastructure solutions. This role focuses heavily on Nokia NetGuard (NIAM/NEDR), containerization technologies, and cloud platforms like AWS, Azure, and GCP. Key ResponsibilitiesDeploy, integrate, and troubleshoot hybrid and cloud-based infrastructure solutions.Manage Linux OS, Kubernetes, Docker, and telemetry systems.Provide L1/L2 technical support, including incident response and root cause analysis.Collaborate with DevOps/SecOps/Network teams to integrate Cloud Native Functions (CNFMaintain documentation and follow best practices in change/configuration management.? Required Skills5+ years experience in security tools (IAM, SIEM, SOAR, IDS/IPS, Palo Alto, CrowdStrike, Wazuh)Strong Linux admin and networking knowledgeExperience with CNF platforms: OpenShift (OCP), Nokia NCP/NCSExpertise in Kubernetes, Docker, and hybrid cloud (AWS, Azure, GCP)Strong troubleshooting and L1/L2 support experience? Nice to HaveKnowledge of Nokia NetGuard (NIAM/NEDR) and 5G/Telco securityCertifications: RHCE, CKA, AWS Certified, Azure Admin, etc.If youre passionate about cybersecurity, container orchestration, and cloud-native architecture, and you're ready for your next challenge wed love to hear from you!

Job Summary Job Description We are seeking a forward-thinking Technical Product Manager with a strong product mindset and hands-on software development experience to lead our Enterprise Integration Services team. You will work closely with engineering, design, and business stakeholders to deliver innovative solutions that meet customer needs and drive business growth. This role requires a strong technical background, excellent communication skills, and a passion for building great products. Key Responsibilities: Define and own the product roadmap in collaboration with stakeholders. Translate business requirements into detailed product specifications and user stories. Work closely with engineering teams to ensure timely and high-quality delivery. Prioritize features and enhancements based on customer feedback, business value, and technical feasibility. Act as the bridge between technical teams and non-technical stakeholders. Conduct market research and competitive analysis to inform product strategy. Monitor product performance and iterate based on data and user feedback. Ensure alignment with company goals and compliance with relevant standards. Act as the primary liaison between the customer, development & platform engineering team. Collaborate with stakeholders to define and refine the product vision and roadmap. Ensure alignment of the product vision with business goals and customer needs. Communicate the vision and roadmap to the development team and ensure their understanding and buy-in. Create, maintain, and prioritize the product backlog. Ensure the backlog is transparent, visible, and understood by the team. Prioritize features, user stories, and tasks based on business value, customer needs, and technical feasibility. Provide guidance and support to the development team to ensure timely and high-quality delivery. Monitor product performance and quality metrics to identify areas for improvement. Research and recommend custom designs to resolve client/business issues and interpret business requirements into application configuration tasks. Drive process and productivity improvements into existing operations based on analysis of existing processes versus system capabilities and anticipated gains. Define return on investment and gain alignment with ops/engineering on associated ROI and resourcing. Balance multiple stakeholder needs and regulatory requirements, ensuring critical features are delivered on time. Work closely with technical teams and business stakeholders to implement scalable solutions. Serve as the primary point of contact for all features, clarifying priorities and resolving cross-functional dependencies. Collect stakeholder feedback, analyze performance metrics, and stay informed on industry best practices to drive iterative enhancements. Negotiate trade-offs and adapt priorities based on resource constraints and time-sensitive business needs. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Overall 15+ year's work experience 5+ years Product Owner or Product Manager experience 5+ years integration lead and development experience 5+ year's experience creating vision, strategy, product roadmap Prior experience as a software engineer/developer and technical role. Strong understanding of software development processes (Agile/Scrum/ SAFe). Experience working with Development projects, cloud platforms, and modern tech stacks. Excellent problem-solving, organizational, and analytical skills. Strong communication and stakeholder management abilities. Strong experience in at least one of the following domains: Integration Services. Experience with Agile methodologies, JIRA, and Confluence, and translating, analyzing, and simplifying requirements to add epics & stories and align with standard best practices. Excellent communication and interpersonal skills. Ability to connect with customers and understand their needs. Strong collaboration skills to work effectively with cross-functional teams. Skilled at defining product vision, creating user stories, and prioritizing backlogs. Capable of balancing a long-term strategic vision with the need for practical, incremental delivery. Excellent written and verbal communication skills; able to facilitate discussions between technical teams and business units. Proven track record of contributing to product vision and roadmap. Strong leadership skills to guide and motivate the team. Excellent problem-solving skills and ability to make data-driven decisions. Nice to have: Experience with SAP PI/ PO, SAP Integration Suite, Advanced Event Mesh, Solace, WSO2 SAFe (Scaled Agile Framework) experience. Strong knowledge of API Management, low code platforms, test automation, and various testing frameworks. Experience with DevOps and testing tools Product Owner certification (e.g., CSPO, SAFe PO/PM) is a plus Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $132,600.00 - $199,160.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Lead with quality, innovate with purpose, and help deliver technology people can trust This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $140,000 per year A bit about us: We are a leading innovator in debt resolution technology with over 15 years of industry experience. Our platform helps individuals and businesses take control of their financial future through automation, transparency, and intelligent tools that simplify complex processes. Headquartered in Schaumburg, Illinois, we're redefining how financial services are delivered-making them smarter, faster, and more empowering for everyone involved. Why join us? Join a growing technology organization where quality, innovation, and collaboration drive every decision. As a QA Manager, you'll have the opportunity to build, mentor, and lead a team of talented QA professionals working on cutting-edge software that makes a real impact. Hybrid work schedule offering flexibility and balance. Opportunity to implement and elevate best-in-class QA practices. Collaborative environment that values new ideas and continuous improvement. Work alongside passionate professionals committed to excellence. Competitive pay and comprehensive benefits package. Job Details The QA Manager will be responsible for ensuring the quality, reliability, and performance of mission-critical software systems. This role oversees all aspects of testing-from strategy and planning to automation and execution-while ensuring that the QA team delivers exceptional results across multiple projects and releases. Key Responsibilities: Develop and implement test strategies, plans, and standards for software QA processes. Manage a hybrid team of QA engineers performing manual and automated testing. Coordinate cross-functional collaboration with Product, Development, and DevOps teams. Ensure testing coverage across APIs, web applications, and system integrations. Oversee the creation and maintenance of automated test scripts and frameworks. Track, document, and report software defects, ensuring timely resolution and follow-up. Conduct quality reviews, audits, and retrospectives to improve QA performance. Mentor QA team members and foster a culture of accountability and excellence. Ensure compliance with company security, regulatory, and quality standards. Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field. 5+ years of QA experience, with 2+ years in a leadership or management role. Hands-on experience with QA automation tools such as Selenium, Cypress, or similar. Strong understanding of Agile, SDLC, and CI/CD workflows. Experience with API and performance testing tools. Excellent problem-solving, organizational, and communication skills. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $160,000 - $180,000 per year A bit about us: Our client is a direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data anayalsis. Why join us? A mission-driven company focused on sustainability and innovation. A remote-first culture with flexibility and autonomy. A collaborative and supportive team environment. Competitive salary, equity, and benefits. If you're passionate about building great software and want to work on products that make a positive environmental impact, we'd love to hear from you Job Details We are seeking a talented and experienced Senior or Staff Frontend Engineer to help shape the future of our digital products. This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale. You will work closely with a cross-functional team of designers, product managers, and front-end and back-end engineers to build high-quality, performant, and scalable web applications. REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, Mi, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA. What You'll Do Build: Develop and maintain customer-facing React applications across our e-commerce platform, internal customer experience portal, and main website. Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience. Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs. Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs. Mentorship: Support other engineers through code reviews, pair programming, and technical guidance. Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences. Process Improvement: Contribute to enhancing development processes, best practices, data-driven decisions, and engineering culture. What We're Looking For Proven React Experience: 5+ years of professional experience building and engineering exceptional user interfaces and pages using React. Must have a strong grasp of data structure, best practices, scalable patterns, and performance optimization. Design Intuition: Strong understanding of user experience and visual design principles. Technical Leadership: Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members. Backend Experience: Comfort working with Python, Django, and FastAPI, with the ability to build and interact with APIs effectively. Proven track record of contributing to Python projects in a professional capacity. Startup Mentality: Comfortable in a fast-paced, high-growth environment where adaptability and problem-solving are key. Key Strengths: Persistence, intelligence, creativity, flexibility, passion, humility, curiosity, and professionalism. Communication, soft skills, ability to effectively participate in discussions Bonus Points - We'd Be Really Impressed If You Have: Experience working with Kubernetes, Argo, and Google Cloud Platform. A track record of building full-stack applications from scratch, making technical decisions that balance performance, maintainability, and scalability. Familiarity with infrastructure as code and DevOps best practices. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Job Title: AWS INFRASTRUCTURE ENGINEER / AI Location: Mclean,VA Duration: 12 Months Visa: USC, GC, H1B and EAD Contract Type: W2 Job Summary We are looking for an AWS Infrastructure Engineer with AI experience to design, deploy, and operate scalable cloud infrastructure that supports AI/ML platforms and data-driven applications. This role sits at the intersection of cloud engineering, DevOps, and MLOps, enabling teams to reliably train, deploy, and scale machine learning models on AWS. Responsibilities Design and manage AWS cloud infrastructure for AI/ML workloads Build and maintain Infrastructure as Code using Terraform or CloudFormation Support model training, inference, and data pipelines Deploy and operate containerized workloads using Docker, EKS, or ECS Implement CI/CD pipelines for infrastructure and ML systems Optimize systems for cost, performance, and reliability Enforce security best practices (IAM, networking, encryption) Monitor, log, and troubleshoot production environments Collaborate with ML engineers, data scientists, and software teams Required Qualifications Strong experience with AWS services (EC2, EKS/ECS, S3, RDS, VPC, IAM, Lambda) Hands-on experience supporting AI/ML platforms (SageMaker, EKS-based ML stacks, or similar) Experience with Terraform or other IaC tools Knowledge of Docker and Kubernetes Scripting skills (Python, Bash) Solid understanding of cloud security and networking

This Jobot Job is hosted by: Christian Aviles Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $115,000 - $130,000 per year A bit about us: Financial Services Why join us? Employee owned company with tons of growth potential and competitive benefits Job Details Position Summary The Senior Cloud Engineer is responsible for the design, installation, configuration, and administration of a highly available hybrid cloud environment. This position supports the stability, scalability, and security of cloud and on-premise infrastructure, enabling seamless operations for business-critical applications. Operating as part of an agile shared services team, the engineer focuses on automation, proactive monitoring, and process improvement. This is a mid-senior level technical role that emphasizes strong hands-on experience and collaboration, rather than high-level architecture or management responsibilities. Duties & Responsibilities Maintain and monitor Azure cloud environments, systems hardware, and network infrastructure for optimal performance and availability. Track and assess cloud maintenance activities and outages; develop strategies to minimize downtime and operational impact. Collaborate with development and project teams to provision, configure, and optimize infrastructure resources. Automate infrastructure deployment using templates, scripts, and Infrastructure-as-Code methodologies. Optimize configurations for IaaS, SaaS, and PaaS services across hybrid environments. Support capacity planning, system monitoring, disaster recovery, and business continuity initiatives. Create and maintain technical documentation for configuration standards, processes, and procedures. Troubleshoot connectivity, performance, and security issues, providing detailed analysis and resolution plans. Participate in infrastructure roadmap planning and implementation for cloud and hybrid systems. Coordinate with vendors and internal teams to ensure timely resolution of technical issues. Participate in the on-call rotation and provide after-hours support as needed. Education Bachelor's degree in Computer Science, Information Systems, or related discipline required. Experience 8+ years of progressive experience in computing or network infrastructure. 3+ years of hands-on experience in a cloud environment (Azure preferred) as a cloud engineer, administrator, or DevOps professional. Demonstrated success in building, maintaining, and automating cloud infrastructure. Strong experience with Infrastructure-as-Code and Configuration-as-Code tools. Proficiency in managing both on-premises and cloud environments (Azure or AWS). Familiarity with CI/CD platforms (e.g., Jenkins, Puppet, Chef, Ansible, or similar). Experience with load balancing, system monitoring, and DevOps practices. Preferred exposure to: Microsoft Windows Server () Linux/Unix systems Virtual machine and container technologies Cloud security and monitoring tools Cisco routing/switching platforms Cloud-based firewall technologies (e.g., Palo Alto) Certifications Azure certifications preferred. AWS certifications a plus. Cisco certifications (CCNA, CCNP) a plus. Required Knowledge, Skills, and Abilities Strong troubleshooting and performance tuning capabilities. Ability to identify, analyze, and resolve technical issues with minimal supervision. Solid understanding of networking, virtualization, and cloud computing principles. Strong documentation and reporting skills. Excellent verbal and written communication abilities, including the ability to explain complex technical concepts clearly. Commitment to teamwork, customer service, and continuous improvement. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Machine Learning Engineer - Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones. CST zone candidates will be considered. EST Candidates are not eligible. Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field preferred. Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience. Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps life-cycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases. Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems. REQUIRED qualifications: Experience in managing end-to-end ML lifecycle. Experience in managing automation with Terraform. Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability. Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions. AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements. Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models. Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance. Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration. Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully Remote, Well-Funded Startup. Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $170,000 - $200,000 per year A bit about us: We are a fast-growth, well-funded SaaS company. Our platform offers end-to-end DevOps software for teams that don't have dedicated Cloud Infrastructure engineers. The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support. Why join us? We have an engineering, product driven culture that does right by our employees. Our team has been remote since day one. Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We're looking for a Senior Product Manager to drive deep alignment across engineering, customers, and go-to-market teams. This is a highly cross-functional role with broad ownership and visibility. The ideal candidate has a strong technical background in DevOps or cloud infrastructure and is passionate about solving real-world problems for developers. Expectations Owning the product roadmap from concept to launch and iteration. Collaborating with customers to deeply understand feature requests, pain points, and use cases. Translating complex Cloud workflows into user-friendly product experiences. Presenting roadmaps and product updates to customers, partners, and executive stakeholders. Using data to continuously evaluate product performance and drive improvements. Qualifications 7+ years of product management experience in SaaS, Dev Platforms, or cloud infrastructure. Previous experience in DevOps, SRE or Cloud Architecture is ideal. Posses strong knowledge and working experience with AWS, Azure, and GCP Understanding of modern DevOps tooling and practices (CI/CD, Kubernetes, Terraform, and IaC) Experience with compliance frameworks is a huge plus (SOC 2, HIPAA, or FedRAMP) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

W2 Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Prestige Hospital System Placed in both California in a broad assessment of excellence in hospital-based patient care. Why join us? Competitive Salary Stellar Benefits (Medical, Dental Vision, Life Insurance) Flexible Schedule Job Stability Career growth The position offers a competitive salary If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. Job Details Job Details: We are seeking a dynamic and innovative Consulting Machine Learning Engineer to join our Tech Services team. The successful candidate will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance. As an MLOps Engineer, you will play an integral role in implementing artificial intelligence solutions across our organization. You will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve operational efficiency and advance research. Responsibilities: Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes. Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Abou t Arcticom Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Cloud Solutions Architect- Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary 130,000 - 140,000 Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. This is a technical customer-facing role that will be accountable for delivering advice and guidance on the pros and cons of various cloud service offerings and implementations. This position will require you to think creatively, render opinions on design options and interact directly with client executive and technical staff. You will participate in large projects and benefit from the vast knowledge of team members and stakeholders. The ideal candidate will have: Excellent communication skills and ability to effectively articulate technical challenges and solutions to both large and small audiences & educate customers of all sizes on the value proposition of Cloud Understanding of multiple cloud computing technologies, business drivers, and emerging computing trends, especially data pipeline and data analysis tools and services Serve as a technical and strategic lead in the sustainment and support of cloud-based system operations. Evaluate system requirements and recommend iterative improvements, migrations, and enhancements. Provide guidance on cloud service options (e.g., AWS, Azure, GCP), including architecture patterns, deployment models, security, and cost implications. Lead planning and execution of cloud-based system support, operational management coordination, and process documentation. Oversee and ensure proper configuration, deployment, monitoring, and support of critical cloud systems. Establish and uphold audit logging, monitoring, and risk management practices across cloud-based environments. Lead cross-functional project planning, road mapping, and tracking of deliverables; provide progress reports and solution recommendations to stakeholders. Promote Agile methodologies and foster a high-performing DevOps/CloudOps team through servant leadership. Build and maintain trusted relationships with stakeholders-technical and non-technical-by clearly articulating challenges, solutions, and strategic vision. Experience with support and management of distributed systems, algorithms, and relational databases Experience architecting and operating solutions built on Cloud platforms. Proven track record of building trusted technical and business relationships with business executives and driving growth in highly strategic or key accounts Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through Proven track record of building trusted technical and business relationships with business executives and driving growth in highly strategic or key accounts Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through Required (Minimum Necessary) Qualifications 10+ years of experience in system operations, including 3+ years of cloud architecture and operations. Proven experience in cloud platforms (AWS, Azure, GCP) and associated services (compute, storage, networking, identity, monitoring, and DevOps tools). Strong understanding of cloud security, audit logging, and compliance frameworks. Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect). Experience supporting DoD or government systems (if applicable). Familiarity with Agile/SAFe frameworks and DevSecOps practices. Bachelor's degree in Computer Science, Computer Engineering. Must be US Citizen . Must have or be able to attain a security clearance. Position needs to be near a Marine Corps Base. Jacksonville NC area +/- 75 miles Quantico VA San Diego/29 Palms +/- 100 miles Yuma Az +/- 75 miles Knowledge, Skills, Abilities, and Other Characteristics Strong foundation of knowledge around cloud platforms like Azure, AWS, Kubernetes and the cloud ecosystem Working knowledge of Cloud services and coming trends in the Cloud space, specifically around data analytics as a service Serving as a hands-on subject matter expert for DevOps and Automation in a cloud environment Strong problem-solving and analytical skills leveraging all available resources Ability to connect technology with measurable business value Demonstrated technical thought leadership in customer facing situations Exceptional verbal and written communication Presentation skills with a high degree of comfort with both large and small audiences Preferred Agile development experience SECRET security clearance Supervisory Responsibilities This is a supervisory position DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. You may delete this line if it does not apply to the job. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse and multi-line telephone system. The work described herein is primarily a modern office setting. Typical work hours are 7:30 a.m. to 4:15 p.m (Central Time). Job may require additional hours. Work hours may change at Management's discretion with or without prior notice. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Work with JFrog customers to design, set, build CI/CD pipelines/DevOps platforms using JFrogs products/cutting-edge technologies/practices (Docker, Kubernetes, IaC, Cloud Native, NPM, Java, Pypi (Binary Repositories, Distribution to Devices, Continuous Build Tooling); work with BI, Data Warehousing/Integration, MDM, Application Integration, Cloud Infrastructure (AWS, Google, Azure)/Big Data; use Java, SQL, XML, Tomcat; troubleshoot technical issues (SSO, UNIX, Java, Apache tomcat, Cl/CD, Kerberos, SSL, REST API, Active Directory, docker, Kubernetes, pipelines); install, upgrade, configure JFrogs Artifactory for optimal performance/scalability; automate platform deployment/management using tools (Terraform, Helm Charts, Ansible); plan/deploy multisite solutions to ensure global redundancy/collaboration (federated repositories, JFrog GeoDNS); design/implement tailored DevSecOps pipeline blueprint; focus on automating security scans, artifact promotion, compliance checks; assist with IDP (SCIM/SSO/LDAP)/OIDC integration for secure authentication; review current Artifactory configuration against best practices to support future business needs for continuous improvement/scale; design, build, deploy custom JFrog Plugins/Workers; establish best practices for cleanup (setting up policies, AQLs); define MLOps best practices/setup by streamlining workflows; automate model lifecycle; ensure reproducibility; conduct sizing reviews/load testing to ensure adequate capacity/minimize performance issues; design/implement Air Gap solutions to enhance user experience across segregated networks; integrate/configure observability tools (Grafana, Prometheus); assist with Advanced GitHub Integration; ensure GitHub Pipelines/dependencies sync effectively with JFrogs Cloud; design/implement GitHub Action workflows (Artifactory, Xray/JAS/Curation); integrate GitLab Advanced Security to design tailored DevSecOps pipelines; understand customers ecosystem, structure, business needs to provide recommendations for continuous improvements/scaling; collaborate with Sales, Customer Success, Support, Development; work directly with Devs/DevOps Pros to ensure success with customers DevOps journey using JFrogs platform; train open source community/JFrog customers; influence features/roadmap of JFrogs tools based on customers needs; keep current with latest technology trends related to DevOps/landscape of CI/CD Technology; manage, oversee, deliver on multiple projects; provide mentorship for Professional Services Engineers; work closely with customers/community to build relationships; and serve as subject matter expert (SME) on JFrogs technologies. This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Job Requirements: Masters degree or foreign equivalent in Computer Science, Computer Engineering, or Software Engineering plus 2 years experience. Experience to include working with BI, Data Warehousing/Integration, MDM, Application Integration, Cloud Infrastructure (AWS, Google, Azure)/Big Data; using Java, SQL, XML, Tomcat; and troubleshooting technical issues (SSO, UNIX, Java, Apache tomcat, Cl/CD, Kerberos, SSL, REST API, Active Directory, docker, Kubernetes, pipelines). This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Apply online or send CVs to .

Date Posted: 01/29/2026 Hiring Organization: Rose International Position Number: 496355 Job Title: Software Lead Architect - Data Architect Job Location: Plano, TX, USA, 75023 Work Model: Onsite Shift: Standard business hours. Employment Type: Temporary FT/PT: Full-Time Estimated Duration (In months): 16 Min Hourly Rate ($): 50.00 Max Hourly Rate ($): 54.00 Must Have Skills/Attributes: Azure, Snowflake, Software Development Experience Desired: Software architecture experience with a focus on data platforms and security (7-10 yrs); Experience with geospatial data modeling or spatial analytics (7-10 yrs); Designing end-to-end data platform architectures using Snowflake, Databricks, Azure, or similar tools (7-10 yrs); Proven experience designing solutions compliant with GDPR, HIPAA, USGCI, or similar regulations. (7-10 yrs) Required Minimum Education: Bachelor's Degree Preferred Education: Master's Degree C2C is not available Job Description Only qualified Software Lead Architect - Data Architect candidates located near Plano, TX to be considered due to the position requiring an onsite presence. Required Education: • Bachelor's or master's degree in computer science, Information Security, or related field. Desired Certifications: • Certifications such as CISSP, CIPP, TOGAF, AWS/Azure Architect. Required Skills, Experience, & Abilities: • 7 - 10 years of experience in software architecture, with a focus on data platforms and security. • Proven experience designing solutions compliant with GDPR, HIPAA, USGCI, or similar regulations. • Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native security tools. • Expertise in data governance, metadata management, and data lineage. • Familiarity with frameworks such as NIST, ISO 27001, and SOC 2. Preferred Skills, Experience, & Abilities: • Experience with data privacy impact assessments (DPIAs). • Knowledge of modern data platforms (e.g., Snowflake, Databricks, BigQuery). • Strong communication and stakeholder management skills. • Knowledge on Security Compliances is nice to have. Required Technologies Experience: 1 Snowflake 2 Databricks 3 ETL/ELT (ADF, dbt, Spark) 4 Azure 5 Kafka 6 Data Modeling & Warehousing 7 Data Governance & Quality 8 Stakeholder Management 9 Data Migration 10 Data Strategy Role: We are seeking a highly experienced and strategic Software Lead Architect to work closely with customers and internal stakeholders to define, design, and implement robust platform solutions for Data Management. This role requires deep expertise in data governance, management, and regulatory compliance frameworks such as USGCI, GDPR, HIPAA, and others. Key Responsibilities: • Customer Engagement & Solution Definition o Collaborate with customers to understand business needs and translate them into secure, scalable, and compliant data platform architectures. o Lead technical workshops and architecture sessions with customer stakeholders. • Big Data Expertise: Demonstrated experience working with extremely large-scale datasets across enterprise-grade platforms. Proven ability to design, optimize, and govern data flows in high-volume environments. • Geospatial Data Proficiency: Hands-on experience with geospatial data models, indexing strategies, and spatial analytics. Familiarity with tools and frameworks for managing location-based datasets at scale. • Architectural Oversight vs. System Ownership: While operational control of big data systems may reside with specific teams or platforms, this role is responsible for establishing the overarching governance frameworks, compliance protocols, and architectural standards that safeguard data integrity and ensure alignment with regulatory requirements. • Architecture & Design o Defining end-to-end architecture for data management and security platforms, including data ingestion, storage, processing, access control, and auditing. o Design solutions that ensure compliance with global data protection regulations (e.g., GDPR, HIPAA, USGCI). o Develop reference architecture, blueprints, and best practices. • Security & Compliance o Integrate security-by-design principles into all platform components. o Ensure data encryption, identity and access management (IAM), and secure data lifecycle practices are in place. o Conduct risk assessments and compliance gap analyses. • Collaboration & Leadership o Work with cross-functional teams including engineering, DevOps, legal, and compliance. o Collaborates with system owners and engineering leads to ensure consistent data standards, lineage tracking, and metadata management across distributed platforms. o Mentor and guide development teams on secure coding and data handling practices. o Stay current with emerging technologies and regulatory changes. • Scalable Design Thinking: Applies architectural principles that support scalability, performance, and resilience in data ecosystems handling petabyte-scale workloads. Only those lawfully authorized to work in the designated country associated with the position will be considered. Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements. Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website. California Pay Equity: For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Job title : Enterprise Architect Full Stack, AI/ML Location: Richmond, VA Job Description: Enterprise Architect Full Stack, AI/ML is responsible for defining and leading enterprise-grade solution architectures that integrate modern full-stack engineering practices with scalable AI/ML capabilities. The role spans application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration, and requires close collaboration with business, product, engineering, and data science teams. This position requires 12+ years of hands-on and architectural experience in large-scale enterprise environments. Responsibilities Define end-to-end architecture for full-stack and AI/ML systems across discovery, data management, model development, deployment, and operations. Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms. Drive digital modernization and cloud transformation initiatives aligned with business goals. Architect scalable ML pipelines, automated workflows, CI/CD, and MLOps frameworks. Partner with data scientists and engineers to operationalize AI/ML models with governance, compliance, versioning, and monitoring. Design and review enterprise applications spanning frontend, backend, APIs, microservices, and cloud-native services. Lead multi-cloud and hybrid architectures across AWS, Azure, and GCP, including DevOps, IaC, and observability. Mentor engineering teams and facilitate architecture governance, reviews, and technical audits. Required Skills Strong full-stack engineering experience with Java, Node.js, Python, Angular/React, REST APIs, microservices, and event-driven architectures. Experience designing and operationalizing AI/ML pipelines, MLOps frameworks, and CI/CD workflows. Deep knowledge of cloud-native architectures, containers (Docker), Kubernetes, and multi-cloud environments (AWS, Azure, GCP). Strong understanding of data engineering, data management, and enterprise integration. Proven leadership, stakeholder engagement, and enterprise architecture governance experience.

Hybrid Oppty! Join our Data Platform & Analytics team as a Sr Data Product Analyst to deliver scalable cloud-native data solutions! This Jobot Consulting Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $125,000 - $153,000 per year A bit about us: Join a mission-driven leader in pharmaceutical distribution with a strong compliance reputation, where you'll work on high-impact anti-diversion efforts that protect communities-all within a tight-knit, collaborative team and a stable, growth-focused environment. Why join us? Comprehensive Health benefits + EAP 401k, Profit Sharing Retirement Plan Tuition Reimbursement Program HSA, FSA, Dependent Care Flex Spending Acct Life, AD&D, & AFLAC Plans Paid Vacation/Holidays Paid Sick Leave Job Details Senior Business Analyst - Enterprise Data & Analytics (Databricks) About the Role We are seeking a Senior Business Analyst to play a leadership role within an enterprise data and analytics organization, driving large-scale initiatives across Databricks, SAP, and modern cloud data platforms. This is a highly technical and visible role blending business analysis, product ownership, Agile leadership, and stakeholder management, with a strong emphasis on enterprise delivery and governance. You will act as a trusted partner to Finance and business leadership, enabling data-driven and AI-supported decision-making while guiding teams through Agile execution in a regulated environment. Key Responsibilities Lead enterprise-level data and analytics initiatives leveraging Databricks, SAP, SQL, and ELT/ETL pipelines Partner closely with Finance and senior stakeholders to translate strategic goals into actionable, scalable data solutions Serve as Senior BA, Proxy Product Owner, and Agile/Scrum Lead, owning epics, user stories, backlog prioritization, and delivery cadence Facilitate Agile ceremonies and lead cross-functional meetings with developers, architects, and business stakeholders Guide and mentor a team (current and planned growth), setting standards for requirements quality and delivery excellence Collaborate with data engineers and architects on ingestion pipelines, curated layers, and analytics models Ensure compliance, governance, and data quality in alignment with pharmaceutical distribution and regulatory standards Oversee UAT, data validation, and release readiness to ensure solutions meet business and compliance requirements Required Qualifications 7+ years of experience as a Business Analyst supporting enterprise data, analytics, or platform initiatives Strong experience with Databricks in enterprise environments Working experience with SAP (finance, supply chain, or commercial data domains) Advanced SQL skills for data validation and analysis Experience with ELT/ETL pipelines and modern data integration Proven Agile delivery experience using Jira, Confluence, and/or Azure DevOps Demonstrated ability to lead meetings, influence stakeholders, and communicate effectively with technical and executive audiences Preferred Experience Experience in pharmaceutical distribution or other regulated industries Exposure to AI-enabled analytics or advanced data use cases Background in data governance, compliance, or audit-ready environments Agile or Product certifications (CSPO, Scrum Master, PMI-PBA) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fully Remote, Well-Funded Startup. Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $120,000 per year A bit about us: We are a fast-growth, well-funded SaaS company. Our platform offers end-to-end DevOps software for teams that don't have dedicated Cloud Infrastructure engineers. The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support. Why join us? We have an engineering, product driven culture that does right by our employees. Our team has been remote since day one. Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We're looking for a Junior DevOps Engineer to join our growing infrastructure team and help support cloud environments for internal teams and external clients. You'll work closely with senior DevOps engineers, software engineers, and customer-facing teams to keep systems running smoothly while gradually taking on more ownership. Expectations Support and maintain AWS infrastructure across multiple environments Assist with incident response, troubleshooting, and system monitoring Help manage and improve CI/CD pipelines Support containerized workloads using Kubernetes (interaction/ops level) Perform operational tasks: deployments, access management, backups, logging Collaborate with senior engineers to implement best practices in reliability and security Document processes, fixes, and learnings to improve team efficiency Qualifications 2 + years of professional experience in a DevOps, Cloud Infrastructure focused role. Must have hands-on, production level experience with AWS Strong communication skills, able to work with both technical teams and clients Experience working with Kubernetes and Terraform in production. Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) Familiarity with Monitoring/logging tools (CloudWatch, Datadog, Prometheus, etc.) AWS certifications would be ideal (or actively working toward one) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

FP&A transformation Design, build forecasting, reporting working with Jupiter notebooks dealing with millions of records expert Python skills AI good to have Cloud experience really good communication skills prefer Des Moines, ok with Boston 4 days onsite Investments good to have Trying to automate management reporting calculations Complete and attach to resume subs: Current Location and ability to meet location requirements Work Authorization status Availability to Start / upcoming vacations Interview Method Used (video or in-person only) prefer over telephone interview Technical Vetting Summary (if applicable who conducted it, what was assessed) Relevant Experience Overview (brief explanation of why the candidate is a strong fit) Resume Gaps or Job-Hopping Explanation Note any employment gaps and provide explanation if available) Call out any short stints, indicating whether the roles were contract or full time Motivation & Interest / Why the candidate is looking for a new opportunity Senior Developer FP&A Forecasting & Reporting POSITION OVERVIEW The Senior Developer role partners with the FP&A team and IT data team to design, build, and optimize the FP&A Forecasting and Reporting processes. This position will be accountable for developing and maintaining high-performance components, ensuring the processes scale effectively with complex calculations and large data volumes. You will be a key member of the FP&A Transformation, helping to build a calculation and forecast modeling platform to support a growing, high pace firm. You will act as a technical leader, bringing deep engineering expertise while working closely with FP&A, Investment, Actuarial and data specialists to ensure the processes deliver robust, efficient, and production-grade solutions. KEY RESPONSIBILITIES Platform Development & Optimization Lead the design, development, and optimization of core code base using Python and Python-based compute environments (e.g., Jupyter, VS Code, Databricks). Collaborate with FP&A and data teams to integrate FP&A forecasting models, analytics, and data pipelines. Ensure computational performance, scalability, and reliability across FP&A workloads. Drive technical innovation, including use of compute grids, data vectors, and AI-based methods where relevant. Collaboration & Support Partner with FP&A and external consultants to deliver performant model execution and tooling. Provide technical guidance on backlog items and requirements for IT Data and supporting teams. Serve as a senior escalation point for critical incidents, providing Tier-3 expertise when needed. Governance & Best Practices Establish and champion engineering standards, testing practices, and performance monitoring. Contribute to platform documentation, run books, and knowledge-sharing initiatives. Mentor junior developers and data engineers, raising engineering maturity across the team. Ensure ongoing maintenance, upgrades, and optimizations are delivered with minimal disruption. EDUCATION An undergraduate or advanced degree in Computer Science, Engineering, or related field (or equivalent combination of education and experience). SKILLS Expert Python skills with proven experience in building high-performance, data-intensive systems. Strong understanding of Life & Annuity data, financial models, or large-scale computational engines. Deep knowledge of data management and integration in hybrid cloud ecosystems (AWS / Snowflake). Hands-on experience with compute parallelization and performance optimization techniques. Excellent interpersonal and communication skills; ability to interface effectively with FP&A and program leadership stakeholders. Strong leadership qualities: mentoring, influencing, and guiding technical direction across teams. EXPERIENCE 10+ years in professional software engineering, with significant hands-on Python development. Demonstrated success building or maintaining financial modeling or large-scale computational systems. Experience working with investment banks and/or within life and annuity insurance domains is highly desirable. Proven track record in data-driven platforms, large-scale computation, or advanced analytics. Experience with DevOps practices and ability to explain them to business users. Desirable: Cloud ecosystem expertise (AWS, Azure, Redshift) Familiarity with AI/ML integration in computational systems Experience in data visualization and reporting

Capgemini Government Solutions (CGS) LLC is seeking highly motivated and experienced Infrastructure Architect to join our team to support our client in a secure environment. The Infrastructure Cloud Architect will have extensive experience in cloud architecture, specifically Infrastructure as a Service (IaaS) products with a deep understanding of cloud computing technologies and services. As an Infrastructure Architect, you will be responsible for leading the design, implementation, and maintenance of Azure-based infrastructure, ensuring scalability, reliability, security design, implementation of complex cloud solutions, application integration and providing technical guidance to other architects and engineers. The role will involve design and build out of infrastructure including migrating from on-prem or legacy cloud implementations to a secure cloud environment. The role will involve leading in a fast-paced environment, while rapidly and thoroughly assessing primary and target infrastructure to ensure that the target environment supports current and future applications while being secure, reliable and scalable. The successful applicant will have an opportunity to apply and grow their skills, work with a motivated and entrepreneurial team, engage with a wide range of collaborators and build CGS' capabilities by serving our clients. Job Responsibilities: As an Infrastructure Cloud Architect, you will be responsible for the following: Leading the design, implementation, and maintenance of complex cloud and cloud infrastructure solutions that meet Government requirements. Develop and implement cloud architecture standards and best practices. Ensure that cloud infrastructure is scalable, reliable, and secure. Ensure that cloud infrastructure design is compliant with classified infrastructure requirements Provide subject matter expertise and hands-on experience in infrastructure design, solutioning and troubleshooting activities. Experience leading large scale cloud migrations Implement and maintain monitoring and logging solutions to detect and diagnose issues in the cloud infrastructure and software applications. Provide technical guidance and mentorship to other architects and engineers. Evaluate new cloud technologies and common services and make recommendations for their use. Expertise with firewalls, network routes, and bandwidth sizing for workloads. Expertise with Terraform, ARM, Ansible, PowerShell, Bash, and Python. Expertise with containerized application and orchestration Collaborate with multi-functional teams to design and implement scalable, secure, reliable cloud-based solutions. Ensure compliance with security and regulatory requirements. Familiarity with DOD STIG compliance Develop and maintain documentation related to cloud architecture solutions Required Qualifications: US Citizenship is required Must Active Top-Secret Clearance or higher Bachelor's degree in information technology, Computer Science, or related field. Minimum of 8 years of experience working in complex cloud IT/Infrastructure environments Extensive experience in cloud architecture, specifically Infrastructure as a Service (IaaS) products with a deep understanding of cloud computing technologies and services Experience working with DOD or other Federal Government environment Must have active Certification: Azure Solution Architect, Azure Security Engineer, Azure Administrator, Azure DevOps Engineer Desired Qualifications: Experience with Platform as a Service (PaaS) environment and tooling Ability to prioritize and display a high level of adaptability/flexibility while handling job responsibilities Excellent communication and facilitation skills, think creatively/about the big picture, and dedicated (do-er) Ability to operate in a fast-paced environment and provide hands on technical support. OS: Linux (RHEL Oracle), Windows (10,11, Servers ) Experience with automated testing tools (pytest, unittest, Selenium, Postman, Terratest) About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $185K $215k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Sr Software Engineer for Warehouse Automation & Robotics - If you want your code to leave the screen and shape how a warehouse actually runs, this role provides that impact! This Jobot Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $172,000 per year A bit about us: We are a distribution organization actively expanding our automation footprint and launching a new, highly automated facility. This role offers hands-on ownership of software that controls real-world material flow, exposure to greenfield automation projects, and close collaboration with operations to deliver systems that scale. You'll join a team that values hands-on problem solving, pragmatic engineering, and close collaboration between IT and operations, with long-term investment in modern automation, cloud and edge technologies, and continuous improvement. If you want your code to leave the screen and shape how a warehouse actually runs, this role provides that impact. Why join us? Comprehensive Health benefits + EAP 401k, Profit Sharing Retirement Plan Tuition Reimbursement Program HSA, FSA, Dependent Care Flex Spending Acct Life, AD&D, & AFLAC Plans Paid Vacation/Holidays/Sick Leave Job Details Senior Software Engineer - Warehouse Automation & Robotics Location: Remote Industry: Distribution / Supply Chain Automation Technical Environment : This role blends enterprise software engineering with industrial automation. This role offers the opportunity to work on greenfield automation tied to a new distribution center launch, with ownership across system design, integration, and go-live-not just post-implementation support. Engineers in this role have a direct voice in how automation is architected, how workflows are optimized, and how technology evolves as the operation scales. We are seeking a Senior Software Engineer with deep experience in warehouse automation, material handling systems, and WMS-integrated software to help design, build, and optimize the systems that physically move product through the facility. What You'll Be Doing This role sits at the intersection of software, automation, and operations. You will: Design and develop backend services that control and coordinate warehouse automation, including conveyors, scanners, labeling equipment, and routing logic Build software that reads scan data, applies business rules, and directs cartons to the correct lanes or destinations Evaluate existing automation workflows and re-engineer processes to improve speed, accuracy, and system reliability Integrate enterprise WMS platforms (SAP EWM) with automation systems using APIs, messaging, and industrial protocols Support the buildout and go-live of a new North Carolina distribution center, including testing, commissioning, and stabilization Troubleshoot automation issues in live environments and perform root-cause analysis across software and physical systems Partner closely with operations, controls engineers, and IT to align software design with real-world warehouse workflows Core Development Go (Golang) - primary backend language SQL (PostgreSQL, SQL Server, MySQL) Linux & Windows environments REST APIs, event-driven and message-based systems Automation & Integration SAP EWM / WMS integrations (APIs, IDocs, RFCs) Conveyor systems, scanners, print-and-apply labeling equipment PLCs and robotics exposure (Allen-Bradley, Siemens preferred) Industrial / IoT protocols: MQTT, CIP, Modbus (or similar) DevOps & Infrastructure CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps) Docker, Kubernetes Hybrid cloud + edge computing (AWS, Azure, or GCP) Monitoring and observability tools (Prometheus, Grafana, ELK) Who This Role Is For: Have hands-on experience supporting automation in warehouses or manufacturing environments Understand how software decisions impact physical flow, uptime, and throughput Are comfortable being on-site during system launches and critical cutovers Enjoy solving problems where software meets machinery Required 5+ years backend software development with automation, WMS, or industrial system integration OR 7+ years backend development with significant automation/PLC/robotics exposure Experience supporting or leading multi-site rollouts or new facility launches Willingness to participate in rotating on-call support for mission-critical systems Preferred Distribution, manufacturing, life sciences, or high-volume fulfillment environments SAP EWM-integrated automation projects PLCs, robotics, or industrial IoT Cloud + edge architecture experience Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: