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Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. The Sr. Cloud Platform Engineer will help build the foundation for the company's modern business applications. In this role, you will apply your in-depth knowledge of modern infrastructure and cloud software engineering practices to build, secure, and maintain the core capabilities used by our data and application teams to drive business value. You will also coach and mentor junior engineers to deliver highly scalable and resilient systems using infrastructure as code across our data centers and cloud environments. • SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes., • AUTOMATION: Leads the application of internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases., • COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather complex requirements and deliver solutions that meet business needs., • TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed., • CONTINUOUS IMPROVEMENT: Recommends options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability., • DOCUMENTATION: Creates and maintains comprehensive documentation for complex software applications, deployment processes and system configurations., • TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution., • Minimum requirement of 4 years of relevant work experience., • Experience with AWS networking tools (Cloud WAN, Direct connect, transit gateway, etc.), • Experience with AWS cloud technologies, including EC2, security groups, Auto Scaling Groups (ASG), S3, and IAM., • Experience with managing Windows workloads in AWS., • Experience with Cloud Provider AWS. Moderate experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.) and a, • Strong background in scripting and programming, including – Terraform, Golang or Python, PowerShell, • The business will not sponsor applicants for work visas for this position, • This position requires onsite (hybrid) presence at our Atlanta, GA Tech Hub Equal Opportunity Employer, including Disability/Vet. At Cargill, we care about your safety and want your job search experience to be a positive one. Unfortunately, there are scams out there where individuals pretend to be Cargill recruiters to try to collect personal information or request payment. Please know that Cargill will never ask you for money during the hiring process, and in most cases, we only accept applications through our official , with the exception of some roles in our production plants. If something doesn't feel right or you have questions, don't hesitate to . To learn more, visit our _. To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. The Senior Network Engineer - SASE will lead the design, deployment, automation, operation, and continuous improvement of Cargill's global Secure Access Service Edge (SASE) and Security Service Edge (SSE) capabilities. This role will help transform secure connectivity by migrating legacy web proxy and remote-access technologies to cloud-delivered security services, including Secure Web Gateway (SWG), Zero Trust Network Access (ZTNA), Cloud Access Security Broker (CASB), Data Loss Prevention (DLP), and threat protection. The engineer will provide technical leadership across network, security, identity, cloud, endpoint, and application teams to deliver reliable, scalable, and policy-driven access for users, sites, and applications. • NETWORK SOLUTIONS: Designs, implements and maintains network solutions to meet organizational needs, including creating network diagrams and blueprints., • NETWORK DEVICES CONFIGURATION: Sets up and configures various complex network devices such as routers, switches, firewalls, virtual private networks and software defined networking to maintain optimal performance and security., • TROUBLESHOOTING & DIAGNOSTICS: Performs complex troubleshooting and diagnostics to resolve network issues, ensuring minimal downtime and maintaining network reliability., • NETWORK MAINTENANCE: Leads routine maintenance and updates on network systems, including applying patches, service packs and security configurations., • PERFORMANCE MONITORING & OPTIMIZATION: Monitors network performance, maintains system availability and reliability, and makes necessary adjustments to optimize performance., • SECURITY MEASURES: Sustains network security by leading the implementation of appropriate measures such as firewalls, intrusion detection systems and encryption technologies., • DISASTER RECOVERY PLANNING: Develops and implements disaster recovery plans to ensure business continuity in case of network failures., • NETWORK AUTOMATION: Develops and implements automation and tools to streamline network operations, including configuration management, device provisioning and software updates., • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience., • Minimum of 5 years of relevant experience in network engineering, network security, or cybersecurity engineering., • Hands-on experience implementing and supporting SASE or SSE solutions in an enterprise environment., • Experience deploying and managing SWG and ZTNA technologies., • Strong understanding of enterprise networking fundamentals, including TCP/IP, routing, switching, DNS, DHCP, VPNs, SSL/TLS, certificates, and network security principles., • Experience troubleshooting complex connectivity, authentication, and application-access issues across hybrid and cloud environments. Preferred: • Experience implementing and administering one or more leading SASE/SSE platforms, such as Netskope, Palo Alto Prisma Access, Zscaler Internet Access (ZIA), or Zscaler Private Access (ZPA)., • Experience designing, implementing, and supporting enterprise firewall platforms, such as Check Point, Palo Alto Networks, or Fortinet, including security policy management, network segmentation, NAT, VPN connectivity, and integration with SASE architectures., • Deep understanding of SWG capabilities, including URL filtering, SSL/TLS inspection, cloud application visibility and control, malware protection, DLP, threat prevention, and policy enforcement., • Experience designing ZTNA solutions for secure access to private applications and reducing reliance on traditional VPN technologies., • Experience with SASE traffic steering and service components, including endpoint clients, GRE/IPsec tunnels, private access connectors or publishers, dedicated egress, and high-availability designs., • Strong understanding of identity-driven security and integration with Microsoft Entra ID, Okta, Ping Identity, or similar identity providers using SAML, OAuth, OIDC, and SCIM., • Experience integrating SASE platforms with endpoint security, SIEM, XDR, and security operations workflows., • Knowledge of cloud networking and security architectures across AWS, Azure, and Google Cloud Platform., • Experience with policy lifecycle management, security posture assessments, exception governance, and change control for cloud-delivered security services., • Experience with automation and scripting using Python, PowerShell, REST APIs, Terraform, Ansible, GitHub, or similar tools., • Experience with network, security, and digital-experience observability tools used to monitor user experience, application performance, and security events., • Ability to develop technical architecture documentation, low-level design artifacts, implementation plans, operational runbooks, and support models for SASE deployments., • Experience working within Agile engineering teams using modern engineering and DevSecOps practices., • Demonstrated ability to provide technical leadership, mentor engineers, and collaborate across network, security, identity, cloud, endpoint, and application teams. #HiPo Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. The Network Engineer - SASE will implement, operate, automate, and continuously improve Cargill's global Secure Access Service Edge (SASE) and Security Service Edge (SSE) services. This role will support the migration from legacy web proxy and remote-access technologies to cloud-delivered security and will configure capabilities such as Secure Web Gateway (SWG), Zero Trust Network Access (ZTNA), Cloud Access Security Broker (CASB), Data Loss Prevention (DLP), and threat protection. The engineer will work within established architecture and collaborate with senior engineers and partner teams to deliver reliable and secure access for users, sites, and applications. • NETWORK SOLUTIONS: Implements and partners to design network solutions to meet organizational needs, including creating network diagrams and blueprints., • NETWORK DEVICES CONFIGURATION: Sets up and configures various moderately complex network devices such as routers, switches, firewalls, virtual private networks and software defined networking to maintain optimal performance and security., • TROUBLESHOOTING & DIAGNOSTICS: Performs moderately complex troubleshooting and diagnostics to resolve network issues, ensuring minimal downtime and maintaining network reliability., • NETWORK MAINTENANCE: Conducts routine maintenance and updates on network systems, including applying patches, service packs and security configurations., • PERFORMANCE MONITORING & OPTIMIZATION: Monitors network performance and applies various tools to maintain system availability and reliability, and suggests necessary adjustments to optimize performance., • SECURITY MEASURES: Sustains network security by implementing appropriate measures such as firewalls, intrusion detection systems and encryption technologies., • DISASTER RECOVERY PLANNING: Implements and partners to develop disaster recovery plans to ensure business continuity in case of network failures., • NETWORK AUTOMATION: Implements and partners to develop automation and tools to streamline network operations, including configuration management, device provisioning and software updates., • Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience., • 3 years of relevant experience in network engineering, network security, cybersecurity engineering, or infrastructure operations., • Hands-on experience supporting enterprise network or security technologies, with exposure to SASE, SSE, SWG, ZTNA, cloud security, or secure remote-access solutions., • Strong understanding of enterprise networking fundamentals, including TCP/IP, routing, switching, DNS, DHCP, VPNs, SSL/TLS, certificates, and network security principles., • Experience troubleshooting connectivity, authentication, and application-access issues in enterprise environments., • Ability to create clear technical documentation and work effectively with geographically distributed engineering and operations teams. Preferred: • 5+ years of experience supporting enterprise network or security solutions within a large-scale, distributed IT environment., • Hands-on experience with one or more leading SASE/SSE platforms, such as Netskope, Palo Alto Prisma Access, Zscaler Internet Access (ZIA), or Zscaler Private Access (ZPA)., • Experience administering SWG capabilities, including URL filtering, SSL/TLS inspection, cloud application controls, malware protection, DLP, threat prevention, and policy enforcement., • Experience configuring ZTNA access to private applications and supporting initiatives that reduce reliance on traditional VPN technologies., • Familiarity with endpoint traffic steering, GRE/IPsec tunnels, private access connectors or publishers, dedicated egress, and high-availability designs., • Understanding of identity-driven security and integration with Microsoft Entra ID, Okta, Ping Identity, or similar identity providers using SAML, OAuth, OIDC, or SCIM., • Experience integrating or operating security services with endpoint security, SIEM, XDR, or security operations workflows., • Knowledge of cloud networking and security concepts across AWS, Azure, or Google Cloud Platform., • Familiarity with automation and scripting using Python, PowerShell, REST APIs, Terraform, Ansible, GitHub, or similar tools., • Experience using network, security, or digital-experience observability tools to investigate user experience, application performance, and security events., • Experience developing low-level design documentation, implementation plans, test plans, and operational runbooks., • Experience working within Agile engineering teams and using modern engineering or DevSecOps practices., • Industry certifications such as CCNA/CCNP Security, PCNSE, Netskope certifications, Zscaler certifications, or equivalent are preferred. #HiPo Equal Opportunity Employer, including Disability/Vet. To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come. The Network DevOps Senior Engineer will design, automate, operate, and continuously improve Cargill's global software-defined network infrastructure, with an initial focus on the Versa SD-WAN platform. In this role, you will apply modern software engineering, infrastructure as code, and site reliability practices to build secure, scalable, resilient, and supportable network capabilities. You will provide technical leadership across Network, Cloud, Hosting, Security, Enablement Tooling, and Infrastructure Automation teams. • NETWORK SOLUTIONS: Designs, implements and maintains network solutions to meet organizational needs, including creating network diagrams and blueprints., • NETWORK DEVICES CONFIGURATION: Sets up and configures various complex network devices such as routers, switches, firewalls, virtual private networks and software defined networking to maintain optimal performance and security., • TROUBLESHOOTING & DIAGNOSTICS: Performs complex troubleshooting and diagnostics to resolve network issues, ensuring minimal downtime and maintaining network reliability., • NETWORK MAINTENANCE: Leads routine maintenance and updates on network systems, including applying patches, service packs and security configurations., • PERFORMANCE MONITORING & OPTIMIZATION: Monitors network performance, maintains system availability and reliability, and makes necessary adjustments to optimize performance., • SECURITY MEASURES: Sustains network security by leading the implementation of appropriate measures such as firewalls, intrusion detection systems and encryption technologies., • DISASTER RECOVERY PLANNING: Develops and implements disaster recovery plans to ensure business continuity in case of network failures., • NETWORK AUTOMATION: Develops and implements automation and tools to streamline network operations, including configuration management, device provisioning and software updates., • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience., • Minimum of five years of experience in network engineering, network automation, DevOps, platform engineering, or a related discipline., • Hands-on experience supporting enterprise WAN or SD-WAN environments, with a strong understanding of TCP/IP, routing, VPN technologies, network security, and high-availability design., • Demonstrated experience developing network automation with Python, Git-based workflows, REST APIs, and configuration or infrastructure-as-code tools such as Ansible or Terraform. Preferred: • Eight or more years of experience designing, automating, and supporting network platforms in a large, globally distributed enterprise environment., • Hands-on experience engineering and operating Versa Networks SD-WAN, including Versa Director, Analytics, Controller, and branch appliance capabilities, or comparable enterprise SD-WAN platforms., • Deep knowledge of BGP, OSPF, route redistribution, IPsec, quality of service, VRFs and segmentation, NAT, DNS, DHCP, firewall policy, resilient underlay and overlay design, and secure internet access patterns., • Experience building CI/CD pipelines for network infrastructure using GitHub Actions, Jenkins, GitLab CI, or equivalent tools, including automated testing, code quality checks, approval controls, and deployment rollback., • Experience creating network automation services and integrations using Python, FastAPI, Go, JavaScript, REST APIs, data models, and structured formats such as JSON and YAML., • Experience with automated network testing and validation frameworks such as pytest, pyATS, Batfish, or equivalent tools., • Experience with network observability and performance management using Datadog, Versa analytics, SNMP, syslog, streaming telemetry, dashboards, and event correlation., • Experience with cloud networking and connectivity across AWS, Azure, or Google Cloud, including secure, multi-region, and highly available architectures., • Working knowledge of Linux, containers, secrets management, role-based access control, vulnerability remediation, and secure software development practices., • Experience working within Agile engineering teams and ITIL-aligned incident, problem, and change management processes., • Ability to produce clear architecture documentation, low-level designs, engineering standards, implementation plans, test plans, and operational runbooks., • Demonstrated ability to influence across teams, lead complex technical initiatives, mentor engineers, and communicate effectively with technical and business stakeholders., • Relevant certifications such as Versa Networks certification, CCNP Enterprise, Cisco DevNet Professional, cloud networking certification, or equivalent are preferred. #HiPo Equal Opportunity Employer, including Disability/Vet. 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Job Description Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: -Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. -Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. -Write code to ensure the performance and reliability of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. -Work with program management and engineers to implement and document complex and evolving requirements. -Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. -Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: -Must be a US Citizen. -Must be able to obtain a Public Trust Clearance. -7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. -Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply them. -Experience with relational database, such as, PostgreSQL. -Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and knowledge of DHS standards a plus. -Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. -Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance -401k -Flexible Spending Account (Health, Dependent Care, and Commuter) -Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Onsite IT Advisors LLC is seeking a skilled and motivated Data Engineer to join our growing technology team. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable cloud-based data solutions. This position focuses on building efficient data pipelines, optimizing data storage systems, and transforming complex datasets into reliable, analysis-ready information. You will work closely with technical teams, data analysts, and business stakeholders to develop solutions that support reporting, business intelligence, advanced analytics, and data-driven decision-making. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines to collect, process, and integrate data from multiple sources., • Develop and optimize cloud-based data warehouses, data lakes, and other storage solutions to support large-scale analytics., • Build automated workflows for extracting, transforming, validating, and loading structured and unstructured data., • Perform SQL and NoSQL database testing, data quality checks, troubleshooting, and post-deployment validation., • Collaborate with developers, analysts, and stakeholders to understand business requirements and translate them into technical solutions., • Develop Python scripts and SQL queries for data extraction, transformation, processing, and automation., • Monitor and improve data pipeline performance, reliability, scalability, and efficiency., • Work with distributed data processing technologies to manage and transform large datasets., • Identify and resolve data integration issues, schema inconsistencies, and processing errors., • Support the development and maintenance of cloud-based data platforms and analytics infrastructure. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field., • Minimum 3 years of experience in data warehouse development., • Minimum 3 years of experience analyzing and integrating data from multiple sources within cloud-based environments., • Minimum 2 years of experience developing and maintaining scalable data storage solutions for large-scale analytics., • Strong proficiency in SQL and Python for data retrieval, processing, and transformation., • Hands-on experience developing ETL/ELT pipelines using cloud-based technologies., • Experience with Cloudera, Hadoop, or related big data processing technologies., • Experience using generative AI-assisted coding tools to support software development., • Knowledge of backend SQL and NoSQL database testing, data validation, and post-deployment testing., • Strong analytical, problem-solving, and communication skills., • Ability to work effectively with cross-functional technical teams., • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination, as required for the position., • Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder). Preferred Qualifications • Experience with AWS services, including AWS Glue, AWS Athena, and Amazon Redshift., • Familiarity with PostgreSQL, MySQL, or Snowflake., • Experience with distributed processing technologies such as Apache Spark, Databricks, Apache Hive, AWS EMR, or Apache Kafka., • Knowledge of real-time data processing and streaming architectures., • Experience with NoSQL databases such as MongoDB or Cassandra., • Familiarity with UNIX/Linux environments and shell scripting., • Understanding of Agile software development methodologies., • Experience working in collaborative, cross-functional engineering environments. What We're Looking For We are looking for a detail-oriented Data Engineer who enjoys solving complex data challenges, developing reliable cloud-based solutions, and improving data processing efficiency. The successful candidate will demonstrate strong technical expertise, adaptability, and the ability to work independently and collaboratively in a fast-paced environment. How to Apply Interested candidates are encouraged to apply with an updated resume highlighting their experience in data engineering, SQL, Python, cloud technologies, and ETL/ELT development. Onsite IT Advisors LLC is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other legally protected characteristics.

Job Description Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for Public Trust Clearance Target Salary: $147,000 annually, plus benefits Job Description: The DMAC EDAV Team is seeking (2) Senior Data Engineers. In this position you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions. You will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization’s analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-level data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making. You will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization. Key Responsibilities: • Design, implement, and maintain enterprise?grade ETL/ELT pipelines using Python and SQL • Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks) • Develop processes for ingesting, cleaning, validating, and transforming large?scale datasets from APIs, relational sources, and unstructured systems • Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows • Collaborate with cloud engineering teams to deploy and manage data solutions on Azure • Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices • Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability Job Requirements: • 8+ years of experience in data engineering, software engineering, or database architecture • 6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines • 2+ years of experience with cloud data ecosystems like Azure Data Factory • 1+ years of experience with modern data processing frameworks like Databricks • Experience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources) • Knowledge of relational and NoSQL databases, data modeling, and schema design • Knowledge of data governance, security, and compliance principles for enterprise data environments • Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field Preferred Skills: • Experience with supporting key data engineering efforts in a government related environment • Experience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals • Knowledge of IT infrastructure practices and data access methodologies • Knowledge of advanced data security practices, governance policies, and compliance frameworks • Previous CDC Experience • Certifications such as Azure Data Engineer Associate Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-VH1 Ref: #851-Rockville-S1

Job DescriptionDescription: On-site in Atlanta, GA (Midtown) + up to 50% Travel in the field Our client, a leader in their industry, has an excellent opportunity for a Systems Integration Engineer to work on a 6+ month contract position with potential for extension in Atlanta, GA (Midtown). This role requires up to 50% travel, with approved travel expenses reimbursed. Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $60-$70/hr W-2 plus approved travel expenses Responsibilities: • Design and integrate systems spanning electrical, embedded, software, networking, sensing, AI, and field infrastructure., • Develop and troubleshoot C++ and Python software, embedded computing platforms, hardware/software interfaces, and diagnostic tools., • Integrate cameras, sensors, optics, lighting, PCBs, edge-computing platforms, servers, networks, and computer vision solutions., • Deploy, test, commission, and troubleshoot systems in lab and field environments, isolating issues across hardware, software, networking, sensing, and data., • Collaborate with engineering, software, data science, cybersecurity, DevSecOps, and field teams to deliver reliable end-to-end systems., • Travel to field locations as needed Experience Requirements: • Bachelor’s degree in Computer Engineering, Electrical Engineering, Mechatronics, a related discipline, or equivalent experience., • Experience integrating and troubleshooting complex hardware, software, or embedded systems., • Working knowledge of C++ and Python., • Understanding of electronics, sensors, embedded systems, and IP networking., • Ability to read schematics, datasheets, technical drawings, and system documentation., • Strong hands-on troubleshooting and cross-functional problem-solving skills., • Interest in expanding into adjacent engineering disciplines such as hardware, mechanical systems, or mechatronics., • Ability to travel up to 50%. Preferred Skills: • Computer Engineers interested in expanding into hardware, electronics, sensing, and physical system integration., • Electrical Engineers interested in growing into mechanical systems, mechatronics, robotics, and broader system integration., • Mechatronics Engineers comfortable working across electrical, mechanical, embedded software, sensing, and automation., • Experience with robotics, computer vision, machine learning, PCB integration, embedded Linux, networking, or industrial automation is a plus. Education Requirements: • Bachelor’s degree in Computer Engineering, Electrical Engineering, Mechatronics, a related discipline, or equivalent experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Exotec designs and delivers advanced automation solutions that help global brands optimize warehouse performance while supporting warehouse teams across every level. Our organization combines elegant mechanical design, resilient software and a deep understanding of logistics operations to solve our clients' most complex challenges. Joining Exotec means contributing to an international company where people and purpose guide the way we work. Our teams collaborate with clarity, challenge ideas and share a collective commitment to engineering solutions that matter. We value the diversity of more than 1,000 ExoPeople who bring their expertise, perspective and experience to our shared vision. Here your work has a visible impact, from the way we work to the reliability we commit to deliver. You will join a place where collaboration, excellence, and meaningful impact guide how we build what comes next. What You'll Do As a Solutions Design Engineer, you will help clients solve complex warehouse and order fulfillment challenges through automation, robotics, software, and material handling systems. Working closely with Sales, Business Development, Deployment Engineering, and Project Delivery teams, you will design scalable solutions that improve throughput, storage density, labor efficiency, and operational performance across distribution and fulfillment operations. • Partner with Sales and Business Development teams to evaluate opportunities and develop solution strategies., • Lead client discovery activities, including site visits, operational assessments, workshops, and requirements gathering sessions., • Analyze warehouse and fulfillment data to identify automation opportunities and operational improvements., • Design end-to-end solutions incorporating robotics, storage systems, conveyors, sortation equipment, software, and other material handling technologies., • Develop system layouts, technical concepts, and solution proposals aligned with client business objectives., • Create and deliver customer presentations that clearly communicate both technical solutions and operational value., • Collaborate with cross-functional teams to validate, refine, and deliver innovative warehouse automation solutions., • Support projects throughout the sales cycle, from qualification and solution development through contract award and project handover., • Prepare technical documentation and handover packages to support successful project execution., • Stay informed on emerging technologies, market trends, and best practices across warehouse automation, intralogistics, material handling, and order fulfillment operations. Requirements We strongly encourage applications from candidates of all genders to help us build a truly inclusive environment. If you don't meet every requirement listed below, don't worry, your skills and experiences may still make you a great fit! • 3-5 years of experience in warehouse automation, material handling, intralogistics, fulfillment operations, systems integration, or a related solutions engineering environment., • Experience working with distribution centers, fulfillment centers, warehouse operations, or material handling systems., • Bachelor's degree in Engineering, Industrial Engineering, Systems Engineering, Supply Chain, Logistics, or a related technical field., • Experience creating technical concepts, facility layouts, or solution designs using AutoCAD or similar tools., • Strong communication and presentation skills, with the ability to collaborate effectively across technical and commercial teams., • Ability to manage multiple priorities in a fast-paced environment and deliver high-quality work within deadlines., • Willingness to travel up to 20% to support customer engagements and site visits., • Nice to have: Ability to analyze operational data and translate customer requirements into practical, scalable technical solutions using SQL, Python, and/or AI tools. Benefits • Competitive compensation package, including base salary and bonus., • Comprehensive medical, dental, and vision coverage., • Generous vacation and time-off policy., • 401(k) with company match up to 5%., • Continuous opportunities for training, development, and career growth within a rapidly growing international company., • Opportunity to work on some of the largest and most complex warehouse automation projects in North America., • Exposure to Fortune 500 and global enterprise customers., • Opportunity to collaborate with teams across North America and Europe., • Beautiful, new office space in Midtown Atlanta. To apply, please submit your résumé. Only shortlisted candidates will be contacted for the next steps in the hiring process. We look forward to receiving your application! Please note that Exotec does not accept unsolicited résumés from recruiting agencies or recruiting firms. Candidate profiles submitted directly to hiring managers, employees, or any other company representative without prior approval from the Talent Acquisition team will not be considered. All agency-supported searches must be authorized by Talent Acquisition, and candidates must be submitted through our designated external submission process.

Job Description Are you passionate about building advanced semiconductor systems that power next-generation wireless technologies? At Falcomm, we are transforming innovative semiconductor research into real-world products through energy-efficient RF power amplifier and wireless solutions. Our mission is to push the boundaries of performance, efficiency, and integration in modern communication systems. Falcomm is seeking an ASIC Engineer to support the development of mixed-signal and digital integrated circuits that interface with our RF technologies. This role will contribute to the design, implementation, and verification of ASIC components within larger system-on-chip platforms. The position requires strong collaboration with RFIC, analog, verification, and system engineering teams to deliver high-performance silicon solutions. Responsibilities: • Design and implement digital and/or mixed-signal ASIC blocks from specification to tapeout, • Develop RTL (Verilog/SystemVerilog) and/or transistor-level designs depending on focus area, • Collaborate with RFIC, analog, and system engineers to integrate digital logic within RF and mixed-signal chip architectures., • Perform synthesis, timing closure, and power optimization, • Work with verification engineers to define testbenches and ensure robust design validation, • Support functional verification and debugging of ASIC components in collaboration with verification teams., • Assist with synthesis, timing analysis, and physical implementation activities to ensure design readiness for tape-out., • Contribute to silicon bring-up, debugging, and post-silicon validation activities., • Document design architecture, implementation details, and verification results. Requirements • Bachelor’s or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline., • 1-3 years of experience developing and implementing in ASIC design., • Strong experience with RTL design (Verilog/SystemVerilog) and/or analog/mixed-signal IC design, • Solid understanding of digital design fundamentals (timing, clocking, power, etc.), • Experience with ASIC tool flows (e.g., Synopsys, Cadence, or similar), • Familiarity with verification methodologies (UVM is a plus), • Strong problem-solving skills and ability to work across disciplines, • Must be willing to work full-time, onsite, in Atlanta, GA. Preferred Skills • Strong problem-solving skills in complex digital design areas such as clock domain crossing, timing optimization, and low-power design techniques., • Hands-on experience with industry EDA tools including HDL simulators, linting tools, and FPGA development platforms., • Proficiency in scripting languages such as Python or TCL to support design automation and verification workflows. Benefits • Competitive Salary and Equity Package, • Comprehensive Health, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Paid Time Off (PTO) and Sick Leave Disclosure: • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job Description Data Scientist (5–10 Years Experience) Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. Apply statistical techniques to derive meaningful information for business strategies. 1. Predictive Modeling: Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. Utilize techniques such as regression analysis, classification, and clustering. 1. Data Visualization: Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). Effectively communicate insights to both technical and non-technical stakeholders. 1. Hypothesis Testing: Formulate and test hypotheses to statistically validate business decisions and recommendations. 1. Feature Engineering: Engineer and select relevant features to optimize the performance of machine learning models. 1. Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 1. Data Integration: Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 1. Model Deployment: Deploy machine learning models into production environments to support real-time analytics and decision-making. 1. A/B Testing: Design and evaluate A/B tests to assess the impact of process or product changes. 1. Data Ethics: Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 1. Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 1. Mentorship: Provide guidance and mentorship to junior data scientists and analysts to support team development. 1. Continuous Learning: Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. Programming Languages & Tools: Proficiency in Python, R, or Julia. Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). Database Skills: Strong understanding of databases and SQL-based data manipulation. Additional Skills: Advanced problem-solving and critical thinking abilities. Strong communication skills for conveying technical findings to diverse audiences. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Awareness of data ethics and regulatory compliance.

Job DescriptionAbout GAINSGAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making. Job Summary: We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers. Key Responsibilities: • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics., • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient., • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy., • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance., • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients., • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes., • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders., • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.Qualifications:, • Education: Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field., • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain., • Technical Skills:, • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling)., • Strong programming skills in languages such as Python, C++, or Java., • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools., • Familiarity with supply chain management principles and practices., • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets., • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences., • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment., • Adaptability: Willingness to learn and adapt to new challenges and technologies.Preferred Qualifications:, • Experience with machine learning techniques applied to supply chain problems., • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies., • Experience in the software development lifecycle, including version control and agile methodologies. GAINS may use artificial intelligence (AI) tools to assist in screening and/or assessing applications during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request an accommodation. The recruitment team can be reached at: HR@GAINSystems.com. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply. Powered by JazzHR 6fcb795zgl

Job Description Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions. We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards. Responsibilities • Design and implement code for training/serving ML models in chip design workflows, • Automate creation of large datasets for training models, • Integrate ML models into existing chip design software infrastructure, • Write comprehensive tests and documentation, • Collaborate with engineers to understand model requirements and deployment needs, • Participate in code reviews and follow software engineering best practices, • Research and evaluate new technologies for ML model serving and deployment Requirements • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field, • Availability to work at least part-time starting in Fall 2026, • Strong Python programming skills with experience in scripting and automation, • Understanding of software engineering principles and code organization, • Experience with data processing libraries (pandas, numpy, scipy), • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn), • Basic understanding of file I/O, data parsing, and format conversion, • Experience with version control systems (Git) and collaborative development Preferred Skills • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.), • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE), • Experience with shell scripting (bash) and command-line tools, • Understanding of semiconductor design concepts, • Familiarity with Linux environments, • Experience with workflow automation and batch processing systems, • Knowledge of data visualization tools (matplotlib, plotly) for design analysis, • Understanding of software testing frameworks and debugging techniques Benefits • Competitive Salary, • Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job DescriptionGitHub Contributor – Senior Software Engineer Role Type: Contractor (~15 hrs/week) Location: Remote Job Overview We are seeking experienced Senior Software Engineers with strong open-source profiles to create and evaluate challenging software engineering tasks for AI training. You will build reproducible environments and reference solutions that test AI models on debugging, feature development, refactoring, and performance optimization. No prior AI experience is required—your software engineering expertise and open-source contributions are what matter most. Key Responsibilities • Create expert-level software engineering tasks involving bug fixing, feature implementation, refactoring, and optimization., • Develop reproducible environments and golden reference solutions for AI evaluation., • Work with Python, Java, Rust, C++, Go, and/or TypeScript codebases., • Debug complex systems and resolve performance bottlenecks., • Implement scalable and maintainable features., • Refactor legacy code and improve performance and reliability., • Document technical reasoning, solutions, and code decisions., • Review and validate technical submissions for quality and accuracy.Required Skills, • Python 3, • Java, • Rust, • C++, • TypeScript, • Algorithms & Data Structures, • Bug Fixing, • Feature Implementation, • Codebase Refactoring, • Performance OptimizationPreferred Qualifications, • Significant experience in one or more listed programming languages., • Strong algorithms, data structures, and software engineering fundamentals., • Experience debugging complex systems and optimizing performance., • Experience working with large codebases and legacy system modernization., • Proven open-source contributions on GitHub or GitLab., • Experience delivering features from conception through implementation., • Strong technical documentation and communication skills., • Interest in AI and software engineering evaluation is a plus.Selection Process, • Application and screening questions, • ~30-minute AI interview, • Technical assessment (if applicable), • Hiring Manager reviewCompensation & Availability Compensation is output-based, with payment per qualifying task. Minimum weekly submission requirements apply. Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding. Roles are typically filled within 48 hours.

Job Description About Genius Business Solutions Inc. (GBSI) Featured in CNBC, Digital Journal, Fox News, and CIO Review, GBSI is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations. Our teams deliver solutions across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India. Join our innovative team to lead enterprise-grade SAP solutions and drive digital transformation initiatives across global enterprises. Job Summary The role involves building production-grade data pipelines and developing scalable serverless REST APIs on AWS using Python. The engineer will leverage modern data frameworks (Pandas, PySpark) and AWS services (Lambda, Kinesis, SQS, EventBridge, API Gateway) to deliver high-impact solutions. A key expectation is the ability to accelerate development using AI tools for coding, testing, and documentation, shifting from traditional delivery timelines to rapid, high-velocity product releases. Familiarity with Databricks is a plus. Mandatory skills: 1.Python 2.AWS Lambda 3.REST API's Role Overview · Build production-grade data pipelines using Python. · Develop scalable AWS Lambda REST APIs using Python. · Deliver high-impact software in hours instead of days using AI tools. Daily Responsibilities · Design, build, and optimize data ingestion and transformation pipelines using modern Python data frameworks. · Develop, deploy, and maintain serverless REST APIs and event-driven architectures on AWS. · Leverage AI development assistants to rapidly write clean code, generate comprehensive test suites, and produce technical documentation. · Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours. · Integrate serverless AWS services with core data platforms to ensure reliable message delivery and state management. Requirements · Experience of software or data engineering background. · Data Engineering & Frameworks: Expert-level Python skills with hands-on experience using data frameworks such as Pandas and PySpark for data manipulation and processing. · Core Skills: Advanced Python programming, data handling, and enterprise integration concepts/patterns. · AWS Services: Deep operational knowledge of AWS integration offerings, specifically Kinesis, Lambda, SQS, EventBridge (Events), and API Gateway. · Databricks: Familiarity with the Databricks platform is a plus, but not mandatory. · AI Tooling: Super savvy at utilizing AI tools to accelerate coding, testing, and documentation tasks. Equal Employment Opportunity GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders. We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem. Key Responsibilities and Outputs • Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth., • Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse., • Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact., • AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring., • RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau. Proven Characteristics for Success • The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota., • Impact-Focused: You don't just deliver data; you deliver the "so what?", • AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows., • Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.Qualifications Essential • Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role., • dbt Expertise: Proven experience building and maintaining production-grade data models using dbt., • Orchestration Tools: Hands-on experience with Dagster or Airflow., • SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery)., • BI Visualization: Experience building stakeholder-facing dashboards in Tableau., • CRM Knowledge: Familiarity with Salesforce data structures. Preferred • Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt)., • AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker)., • Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server., • Data Modeling: Salesforce-specific data modeling experience., • Big Data: Experience dealing with large (+1M rows) customer engagement datasets. Additional Information The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do., • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe., • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard., • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes., • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits • Remote First Culture, • Health Care Coverage, • Education Reimbursement*Competitive Paid Time Off, • Self-Care Days, • National Holidays, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time Off, • Charitable Contribution Match, • Monthly Wellness or Home Office Reimbursement, • Access to Employee Assistance Program (mental health platform), • Parental Leave, • Retirement Plan with match/contribution Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

Job Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Site Reliability Engineer Our goal is to perfect enterprise infrastructure DevOps practices, raising the bar on what's possible with automation by embracing a model-driven approach, whether on-premise or on public clouds. We run hundreds of private cloud, Kubernetes clusters, and applications for customers across both physical and public cloud estates. We identify and address incidents, monitor and observe applications, anticipate potential issues, and enable product refinement to ultimately achieve high-quality standards in our open source portfolio. To succeed in this role, you need to have a strong background in Linux, Python, networking, and knowledge of how clouds work. Your work will encompass the entire stack, from bare-metal networking and kernel up to Kubernetes and open source applications. You can expect to be trained in our core technologies like OpenStack, Kubernetes, security standards, open source products like Kubeflow, Kafka, OpenSearch, databases, and many others. Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code. Location: Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open source applications, applying DevOps practices. To become a member of our team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from bare metal to containers, and you need the ability to work in operations with mission-critical services for global brand-name customers. As a member of the team, you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure. What we are looking for in you • Degree in software engineering or computer science, • Python software development experience, • Operational experience in Linux environments, • Experience with Kubernetes deployment or operations, • Excellent interpersonal skills, curiosity, flexibility, and accountability, • Ability to travel internationally twice a year, for company events up to two weeks longBonus skills, • Familiarity with OpenStack deployment or operations, • Familiarity with public cloud deployment or operations, • Familiarity with private cloud managementWhat we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We adjust compensation every 6 months to ensure we recognize outstanding performance, and in addition to base pay, we offer annual bonuses. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. • Distributed work environment with twice-yearly team sprints in person, • Personal learning and development budget of USD 2,000 per year, • Every 6 months compensation review, • Recognition rewards, • Annual holiday leave, • Maternity and paternity leave, • Employee Assistance Programs, • Opportunity to travel to new locations to meet your colleagues, • Priority Pass and travel upgrades for long-haul company eventsAbout Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Job Description Hermeus is a venture-backed defense aviation company reclaiming the lost art of rapid iterative prototyping to build the fastest aircraft in the world today. By prioritizing relentless hardware iteration, we deliver high-speed systems at the pace of the modern battlefield. We work with the Department of War to provide the high-speed capabilities our nation and its allies need to maintain a durable, asymmetric advantage. About the Role: As an RF systems engineer you will be responsible for identifying RF hardware requirements, creating system architectures, and building/testing/integrating the RF solutions – both on the aircraft and ground station. This position will require strong fundamentals, wide-breadth design experience, and efficient troubleshooting skills. You’ll be responsible for high-ownership technical delivery while working with a multi-disciplinary team of engineering, manufacturing, and quality professionals. Responsibilities • Simulate/model RF hardware for communication systems and sensors/instruments., • Develop test concepts and test procedures for RF and Environmental testing, including far field and near field measurements (plus vibration, shock, thermal and thermal vacuum)., • Define hardware architecture and specifications for the RF system blocks, interfaces, and housing. Design, build and test microwave circuits and assemblies., • End-to-end design validation and testing of RF product performance. Lead and conduct troubleshooting or root cause hardware performance challenges., • Work with manufacturing and production teams on procuring and integrating quality RF module and antenna subsystems into our aircraft., • Perform data analysis of RF systems, generate documentation/slides and present results to team.Requirements, • Bachelor's degree in electrical engineering or related discipline., • 4+ years of professional experience designing and testing electrical, antenna and/or RF hardware and systems., • Experience with RF/Antenna Systems in L/S/C/Ku and Ka-Band frequencies.Preferred Skills and Experience, • Demonstrated experience working collaboratively in cross-functional teams., • Strong troubleshooting and problem diagnostic skills, • Understanding of electromagnetic propagation, impedance matching, Smith Chart, VSWR, P1dB, IIP3, NF, and etc., • Understanding of digital modulation such as QAM, BPSK, QPSK, and SOQPSK or similar., • Experience working with VNA, spectrum analyzers, RF power meters, and other relevant RF test equipment., • Experience with test equipment automation and scripting, • Strong hands-on skills including prototyping/soldering and the use of a full range of instrumentation including multimeters, oscilloscopes, current meters, etc, • Support ongoing regulatory filling including FCC, FAA, and AFTRCC., • Previous Experience on Integration and Test of an RF Systems (of any kind) with Radio as an integral part of RF Systems., • Master's degree with emphasis in Antenna, Electromagnetic theory and/or microwave circuits., • Experience using in HFSS (or similar antenna simulation tools)., • Familiarity with Antenna design, including types and tradeoffs., • EMI/EMC testing per MIL-STD-461., • Prior experience working on an airborne vehicle., • Experience in a startup or agile development environment., • Experience with Python or other scripting languages to aid automation, data analysis, etc, • Ability to travel on short notice to support test campaigns The salary information provided is a general guideline only. Hermeus takes various factors into account, including, but not limited to, the position's scope and responsibilities, the candidate's professional background, education and training, essential skills, and market and business considerations, when presenting a job offer. Salary is only one part of our total compensation and benefits package. Hermeus offers competitive salary and equity, unlimited PTO policy, paid parental leave, potential for year-end bonuses, and more! 100% employer-paid health care 401k & Retirement Plans Unlimited PTO Weekly Paid Office Lunches End of Year Bonuses Fully stocked breakrooms Stock Options Paid Parental Leave The salary range listed for this role is intended as a general guideline. Final compensation will be determined based on a variety of factors, including role scope and responsibilities, relevant experience, education and training, key skills, market data, and business needs. At Hermeus, compensation is only one part of our total rewards package. We offer competitive pay, equity, and a range of benefits designed to support our team. Benefits: • Health & Wellness: 100% employer-paid healthcare and pet insurance, • Financial: Competitive pay, stock options, 401(k) retirement plan, and potential year-end bonuses, • Time Off: Paid parental leave, 12 federal holidays, unlimited PTO for exempt employees, and generous accrued PTO for non-exempt employees, • Office Perks: Weekly paid office lunches and fully stocked breakrooms U.S. EXPORT CONTROL COMPLIANCE STATUS The person hired will have access to information and items subject to U.S. export controls, and therefore, must either be a “U.S. person” as defined by 22 C.F.R. § 120.62 or otherwise eligible for deemed export licensing. US persons include U.S. citizens, U.S. nationals, lawful permanent residents (green card holders), and asylees and refugees with such status granted, not pending. EQUAL OPPORTUNITY Hermeus is an Equal Opportunity Employer. Employment decisions at Hermeus are based solely on merit, competence, and qualifications, without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. #LI-JC3 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Career Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity. We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stack Spark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description Apply now: Principal Mobile Engineer, location is Hybrid (4 days/week onsite in Atlanta, GA). The start date is ASAP for this permanent position. Job Title: Principal Mobile EngineerLocation-Type: Hybrid (4 days/week onsite – Atlanta, GA)Relocation: Open to relocation candidates with ability to be on-site by day 1 in the roleStart Date Is: ASAPDuration: PermanentCompensation Range: $170,000 – $185,000 annually 15% target bonusBenefits: Eligible for Health, Dental, Vision, 401K, PTO, etc///Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description:Seeking a Principal Mobile Engineer to lead technical design and feasibility efforts for enterprise-scale, customer-facing mobile applications while partnering closely with product and engineering leadership to deliver scalable, high-quality solutions. Day-to-Day Responsibilities: • Partner with product teams to evaluate feature feasibility and technical effort., • Create detailed technical implementation documentation aligned with enterprise architecture., • Lead technical design discussions and serve as the mobile subject matter expert., • Provide guidance and technical direction to engineering teams throughout development., • Build proof-of-concepts to evaluate new technologies and approaches., • Support tooling integrations including authentication, observability, monitoring, and analytics., • Translate complex technical concepts into business-friendly recommendations., • Assist with production support, troubleshooting, and release activities., • Contribute to long-term mobile architecture and technology roadmap., • Research emerging technologies and recommend improvements to the platform. Minimum Requirements: • 7–10 years of software engineering experience with strong end-to-end/full-stack knowledge., • 5 years of hands-on React Native development., • Strong JavaScript and Node.js experience., • Experience building enterprise, customer-facing mobile applications., • Experience with authentication and authorization platforms (Auth0 or similar B2C identity solutions)., • Experience integrating payment solutions (Apple Pay, Google Pay, PayPal, etc.)., • Experience implementing push notifications., • Strong understanding of REST APIs and mobile application architecture., • Experience collaborating directly with product managers and business stakeholders., • Excellent communication skills with the ability to influence technical and non-technical audiences., • Experience creating technical documentation and implementation specifications., • Familiarity with Git, Jira, Confluence, and Agile methodologies., • Bachelor's degree in Computer Science, Information Technology, or a related field.Preferred Qualifications:, • TypeScript experience., • Python, Bash, or other scripting languages., • CI/CD pipeline experience., • Terraform or Infrastructure-as-Code exposure., • GraphQL experience., • Feature flag implementation., • Design systems and design token experience., • Next.js or React-based frameworks., • Cloud infrastructure knowledge., • GitHub Copilot or AI-assisted development experience., • CMS experience (Sitecore or similar)., • QSR, retail, or consumer-facing digital platform experience.

Job Description Position: Machine Learning Engineer III – AI/ML Product Engineering Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies. This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform. Key Responsibilities · Design and build modular, reusable AI components and services. · Develop scalable RAG solutions using structured and unstructured data. · Engineer multi-agent systems for task coordination, workflow automation, and decision support. · Build transcription and NLP pipelines for customer-interaction analysis. · Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks. · Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks. · Integrate Databricks for data ingestion, feature engineering, experimentation, and model development. · Develop reusable libraries, APIs, templates, and engineering patterns. · Partner with MLOps, DevOps, data engineering, architecture, and product teams. · Implement monitoring for model performance, data drift, system usage, and operational reliability. · Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements. · Provide technical guidance to teams adopting shared AI products and components. Required Qualifications · Strong experience developing and deploying production-grade AI and machine learning solutions. · Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP. · Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning. · Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain. · Experience deploying scalable models and AI services in cloud environments. · Knowledge of APIs, software engineering practices, model monitoring, and MLOps. · Experience working with structured and unstructured datasets. · Strong communication, collaboration, analytical, and problem-solving skills. Preferred Qualifications · Experience with Databricks, vector databases, embeddings, and semantic search. · Experience building reusable enterprise AI platforms or shared AI services. · Knowledge of model evaluation, data drift, observability, and responsible AI. · Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment. · Utility, energy, or regulated-industry experience is preferred.

Job Description About OnPay OnPay is a fast-growing software company headquartered in Atlanta, offering a modern cloud-based payroll, HR, and benefits solution for small to midsize businesses. We’re currently seeking talented and curious individuals to join our team. We want to hear from you if you are interested in joining an exciting and fast-growing company! Learn more at OnPay.com If you’re someone who thrives in a fast-moving environment and loves helping businesses succeed, this is the perfect time to join a high-growth SaaS company that’s redefining what payroll software should be. The Role We’re looking for a GTM Systems Engineer to build and optimize the systems, automation, data flows, and technical workflows that power our go-to-market organization. As a part of the Revenue Operations team reporting to the Director of Revenue Operations & Systems, this role works across Sales, Marketing, Operations, Engineering, and Technology to create efficiencies across the revenue funnel. You’ll connect systems and workflows, automate manual processes, improve speed-to-lead, strengthen handoffs and onboarding, and apply AI to make our teams and processes more scalable, intelligent, and effective. This is a hands-on role for someone who combines technical problem solving with a strong understanding of how modern GTM teams operate. What You’ll Do Design and build scalable GTM systems, workflows, automations, and integrations across the customer lifecycle. Build and optimize inbound lead workflows across enrichment, qualification, scoring, prioritization, routing, engagement, follow-up, and speed-to-lead. Partner closely with Marketing and Sales to connect campaigns, website and product engagement, lead data, and downstream sales workflows, while supporting outbound efforts through scalable prospecting infrastructure and enrichment processes. Serve as the hands-on technical lead for the Hubspot ecosystem, with significant hands-on responsibility for advanced workflows, custom objects, data models, APIs, integrations, and automation. Connect CRM, marketing, sales, and customer success platforms using APIs, webhooks, middleware, and data pipelines, ensuring reliable data flow and scalable processes across systems. Partner with Revenue and pre-sales Operations teams to identify manual processes, friction points, and bottlenecks and build automation that improves efficiency, accuracy, speed, and scalability. Identify and implement opportunities to use AI and agentic workflows across lead qualification, enrichment, routing, research, outreach, rep workflows, onboarding, and operational processes. Build custom applications, scripts, services, and internal tools where native platform capabilities are insufficient, while maintaining strong standards for testing, documentation, monitoring, and governance. Implement and maintain scalable GTM data architecture, including objects, properties, associations, lifecycle stages, in line with and system-of-record and governance standards set by RevOps leadership, while troubleshooting complex system, automation, integration, and data issues. What You Bring Experience in GTM Engineering, Revenue Operations Engineering, Business Systems Engineering, or a similar technical role. Strong experience with HubSpot or another enterprise CRM, including automation, data modeling, APIs, integrations, and complex workflow design. Experience building and optimizing PLG and SLG workflows, including qualification, enrichment, routing, lifecycle management, speed-to-lead, and outbound support. Proficiency with JavaScript, Python, plus SQL, with experience working across APIs, webhooks, JSON, authentication, and relational data models. Experience with automation, integration, enrichment, or data platforms such as Zapier, Workato, Make, Hightouch, Clay, or similar tools. Strong understanding of how Sales, Marketing, Customer Success, and Operations work together across the customer lifecycle. Ability to translate ambiguous business problems into scalable technical solutions and troubleshoot complex issues across interconnected systems. Ability to move quickly while maintaining strong standards for scalability, maintainability, governance, and data integrity. Why OnPay? Momentum that matters: We’re backed by over $100MM in new funding and scaling rapidly. Market-leading product: OnPay consistently ranks among the highest-rated payroll solutions, earning top marks for usability, customer satisfaction, and support. Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta’s Ponce City Market if you reside in the Atlanta metro area. Competitive compensation: Base salary + bonus + stock options = real upside for high performers. Comprehensive benefits: 4 weeks PTO + paid holidays, Medical/Dental/Vision, Short- & Long-Term Disability, Life Insurance, Fertility Benefits, Parental Leave, and a 401(k) with company match. Growth culture: Join a team with deep employee benefits experience, payroll expertise, market momentum, and a genuine commitment to helping employees grow their careers. Client-first ethos: OnPay is built on a culture of transparency and service — from our transparent pricing to our commitment to making small business simpler. Location & Compensation Remote (U.S.) | Atlanta HQ Optional Compensation includes a base salary of ($130,000-150,000). Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At OnPay, recruiters only direct candidates to apply through our official career page at careers.onpay.com Recruiters will never request payments or ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from OnPay, please email careers@onpay.com OnPay is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. We want candidates from multiple backgrounds and lifestyles to create a broader set of perspectives. We make all employment decisions without regard to gender, sexual orientation, gender identity, race, color, religion, age, pregnancy, national origin, veteran status, disability, or any other classification protected by applicable laws.

Job Description Company Overview NCS is a leading industrial products, services and technology company whose primary end-market is car wash operators. NCS provides a full suite of manufactured equipment, installation project services, aftermarket parts and services, chemicals (detergents, protectants, etc.), and software. More specifically with equipment, NCS provides tunnel equipment, IBA (In Bay Automatic), vacuums, dryers, water systems, doors, signage, arches, and related components. NCS also sells a range of brands – on both equipment, chemicals and software today – including Armor All, Rain-X, Blue Coral, TSS, VacuTech, NCS, AMP, etc. The company sells primarily in N. America, operates 6 manufacturing plants across N. America, and has ~1600+ employees. The Company operates numerous Distribution Centers and has sales/HQ offices across N. America, with its primary corporate offices in Des Moines, Iowa and Dallas, TX. NCS is currently owned by Berkshire Partners, a leading Boston-based PE firm We are interested in every qualified candidate who is eligible to work in the United States. However, we are not currently able to sponsor work visas. POSITION SUMMARY The Cyber Security Cloud Engineer is the hands-on engineer responsible for implementing, operating, and maturing security controls across NCS's cloud environment, including Microsoft Azure, Amazon Web Services, and the enterprise SaaS platforms that run the business. NCS operates within an established set of NIST-based enterprise security requirements that define the controls, reporting cadences, and audit expectations for the business. This role implements the security controls that protect our cloud, SaaS, identity, workload, and data environments, and serves as the security lead for integrating newly acquired companies into the NCS security framework. As NCS invests in AI to transform how we serve customers and run the business, this engineer ensures those initiatives are deployed with the required safeguards in place. The engineer also partners with Product Engineering and DevOps teams to put required security controls into practice across the software development lifecycle for NCS products, connected equipment, and customer-facing platforms. The role works closely with Infrastructure, Networking, Data, Application Development, and business stakeholders, and provides security leadership with clear visibility into control status, gaps, and remediation progress. Success in this role means delivering required controls on schedule, demonstrating their effectiveness, and reducing enterprise risk without slowing the business. KEY RESPONSIBILITIES Cloud Security Implementation & Operations • Implement and maintain security controls across Azure and AWS in accordance with NCS security requirements and the enterprise security framework, including identity and access management, network segmentation, encryption and key management, logging, and workload protection., • Deploy and operate cloud security posture management (CSPM/CNAPP), infrastructure-as-code guardrails, policy-as-code, and automated compliance checks that enforce required baselines and provide continuous evidence of control effectiveness., • Operate and tune cloud-native security services (e.g., Microsoft Defender for Cloud, Microsoft Sentinel, Entra ID Protection, AWS GuardDuty, Security Hub, CloudTrail, IAM Access Analyzer) and integrate cloud telemetry into enterprise SIEM detection and response workflows., • Execute detection engineering and incident response for cloud-hosted and identity-centric threats, including alert triage, investigation, root cause analysis, containment, and remediation coordination with managed security providers, following established playbooks and escalation paths; track emerging cloud attack techniques and recommend updates to detections, hardening, and response procedures. Acquisition Integration & Migration • Support cybersecurity due diligence for acquisitions by executing technical assessments of target environments and documenting gaps against NCS security requirements to inform prioritized integration plans., • Execute the secure integration and migration of acquired companies onto NCS platforms, including identity consolidation into Microsoft Entra ID, tenant-to-tenant Microsoft 365 migrations, workload migrations to Azure and AWS, network and endpoint onboarding, and decommissioning of legacy infrastructure., • Maintain and follow repeatable, documented integration playbooks and security baselines that bring acquired entities to the required security standard within defined integration timelines, with status reporting throughout. DevOps & Product Security • Implement and operate required security controls across the CI/CD pipeline in partnership with Product Engineering and DevOps teams, including static and dynamic application security testing (SAST/DAST), software composition analysis, secrets scanning, container image scanning, and software bill of materials (SBOM) generation, with risk-based gates that protect release velocity., • Support secure product development for NCS software, connected equipment, and customer-facing platforms through threat modeling, secure design reviews, application of secure coding standards, API security, and vulnerability management, with particular attention to payment-enabled and field-deployed systems., • Track product security metrics, maintain developer-facing documentation, and uphold remediation SLAs that give engineering teams clear, actionable ownership of security findings. Compliance, Reporting & Leadership • Implement the data protection, DLP, identity governance, and access controls required to securely enable approved AI initiatives, including Microsoft 365 Copilot, Azure OpenAI, AWS Bedrock, and enterprise AI tooling, in partnership with Data, IT, and business teams., • Maintain security controls across Microsoft 365, identity, endpoint (Windows and Apple), and cloud platforms in line with NCS security requirements; produce the evidence, metrics, and documentation needed for PCI-DSS compliance, NIST CSF alignment, internal and external audits, executive security reviews, and customer security assessments., • Mentor engineers, serve as the escalation point for complex cloud and identity security issues, and report clearly on control status, gaps, risk, and remediation progress to technical and executive audiences. REQUIRED QUALIFICATIONS • 5 or more years of progressive experience in IT, with broad exposure to infrastructure, networking, identity, and enterprise systems., • 3 or more years of hands-on experience in a dedicated cybersecurity role, including securing production workloads in Microsoft Azure and/or AWS., • Demonstrated experience implementing security controls within an established enterprise security framework, including translating defined control requirements, audit findings, and assessment results into deployed, documented, and measurable controls., • Hands-on implementation experience with cloud security services and patterns on at least one major platform (Azure or AWS) and solid familiarity with the other, including IAM, network security, encryption and key management, logging, and workload protection., • Experience with infrastructure as code (e.g., Terraform, Bicep, CloudFormation), CI/CD platforms (e.g., Azure DevOps, GitHub, GitLab), and application security tooling (SAST/DAST, SCA, secrets and container scanning), with a track record of partnering with development teams to embed security into the SDLC., • Working knowledge of the NIST Cybersecurity Framework and experience supporting PCI-DSS compliance and audit or assessment processes, including evidence collection and remediation tracking., • Clear, professional written and verbal communication, with the ability to report control status, gaps, and remediation progress to technical and non-technical audiences. PREFERRED QUALIFICATIONS • One or more current, industry-recognized security certifications such as CISSP, CCSP, AWS Certified Security – Specialty, or Microsoft Certified: Azure Security Engineer Associate (AZ-500); equivalent demonstrated experience will be considered., • Direct experience executing security workstreams for mergers, acquisitions, or divestitures, including tenant-to-tenant migrations and identity consolidation., • Experience securing AI/ML platforms and services (Azure OpenAI, AWS Bedrock, Microsoft 365 Copilot, enterprise data platforms) and familiarity with the NIST AI RMF, OWASP Top 10 for LLM Applications, or similar frameworks., • Experience with CSPM/CNAPP platforms, container and Kubernetes security, and secrets management., • Experience implementing or maturing a product or application security program, including familiarity with OWASP ASVS and SAMM, NIST SSDF, or similar secure development frameworks, and tooling such as GitHub Advanced Security or equivalent integrated DevSecOps platforms., • Experience securing embedded, IoT, or payment-enabled products, including PCI-DSS considerations for software and device design., • Scripting and automation proficiency (PowerShell, Python, etc.) for detection engineering and security tooling., • Experience in manufacturing, distribution, or field service environments, including connected equipment and payment systems. CORE COMPETENCIES & LEADERSHIP EXPECTATIONS • Takes ownership of assigned controls and initiatives and follows through to measurable, documented completion., • Executes with discipline against established standards while exercising sound judgment on how to implement them with minimal business friction., • Demonstrates calm, decisive leadership during incidents and high-pressure situations., • Provides clear, pragmatic implementation guidance to peers and leadership on cloud, product, and AI risk. PHYSICAL REQUIREMENTS & WORK ENVIRONMENT • Primarily office-based or remote-office work using a computer and standard office equipment for extended periods., • Ability to communicate effectively through phone, video, and in-person meetings., • Periodic participation in after-hours incident response or maintenance windows., • Occasional travel to NCS facilities and acquired-company locations to support integration activities. Grow your career supported by an energized and passionate tea

Job DescriptionAbout Saviynt Saviynt is a leader in identity security, delivering an AI-powered platform that governs and secures access to applications, data, and business processes for some of the world’s largest enterprises and government institutions. Built for the AI era, Saviynt enables organizations to move faster—securely and compliantly. Why This Role Matters Saviynt’s platform is mission-critical for our customers. As we scale globally, reliability, availability, and performance are not optional—they are core product features. As a Senior Engineer, you will define and drive the reliability strategy for our SaaS platform. This is a high-impact, hands-on engineering role with broad influence across infrastructure, platform, and application teams. You will shape how Saviynt designs, operates, and measures reliability at scale. This role is ideal for engineers who want to work on hard reliability problems, influence architecture across teams, and leave a lasting mark on a growing SaaS platform in Federal. What You’ll Do In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on Vulnerability management, holding teams accountable to meet customer facing Service Level Agreements (SLAs) Designing Continuous Delivery (CD) processes for government deployments that will eventually be used commercially. Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang) or Python Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support Participate in on-call rotations to support the critical shared infrastructure you build What We’re Looking For 1+ years of experience as a Senior SRE with a strong focus on building tools and services for other engineers Deep expertise with Kubernetes in production environments, particularly in providing it as a platform (i.e single tenant and multi-tenant deployment architectures) Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation Extensive hands-on experience with at least one major Cloud Provider (AWS, GCP, or Azure); multi-cloud experience is a strong plus, especially in building abstractions over them Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure Strong experience with RESTful API design principles and building well-documented, consumable APIs Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences A strong customer-centric mindset, treating internal development teams as your primary customers Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required Nice-to-Have Qualifications Experience with FedRAMP compliance and government security requirements Track record of implementing secure CI/CD pipelines in restricted or regulated environments Why Join Saviynt • Work on a mission-critical SaaS platform used by global enterprises • Solve complex reliability challenges at scale • Influence architecture and engineering culture at a company level • Competitive compensation, benefits, and growth opportunities Security & Compliance This role requires compliance with Saviynt’s information security and privacy policies, including annual security training We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description:\n\n Strength in Trust \n OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. \nThe Mission\nOneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI-Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.The Challenge\nWe are hiring a Senior Staff DevOps Engineer to join our Detect & Discover (D&D) team. This team owns three product lines — Data Discovery, Privacy Automation, and AI Governance — serving thousands of enterprise customers across multi-cloud and on-premises environments.\nIn this role, you will lead the infrastructure strategy for our Kubernetes-based on-premises platform and cloud deployments. This includes architecting automated worker node deployments for Azure Marketplace, AWS Marketplace, and GCP; driving container-hardening initiatives to systematically eliminate CVEs; and ensuring the reliability, scalability, and security of our distributed scanning and classification platform. You will act as a technical leader, mentoring engineers and collaborating closely with product security, engineering squads, and customer-facing teams.Your Mission\n\n Kubernetes Platform Architecture: Architect and maintain production-grade Kubernetes platforms across cloud (AKS, EKS, GKE) and on-premises (K3s, microk8s) environments. Own the full lifecycle — cluster provisioning, upgrades, node pool management, and disaster recovery.\n Deployment Automation & Marketplace Publishing: Develop and maintain automation using Helm, ARM templates, BICEP, Terraform, and CloudFormation to streamline worker node provisioning on Azure Marketplace, AWS Marketplace, and Reduce customer setup complexity so clients don't need advanced Kubernetes expertise on-site.\n Container Hardening & Vulnerability Management: Lead our container-hardening program by adopting secure base images for distributed components including Kafka, PostgreSQL, Elasticsearch, Temporal and Vault. Own the systematic reduction of CVEs flagged by Vulnerability Scanners.\n CI/CD & Release Engineering: Maintain and improve CI/CD pipelines ensuring zero-downtime deployments, automated rollbacks, and full auditability. Drive GitOps practices, Improve DevEx and infrastructure-as-code across the team.\n Observability & Platform Reliability: Design monitoring, alerting, diagnostics, and self-healing capabilities using Datadog, Loki, Promtail. Ensure the platform is optimized for performance, logarithmic cost growth, and high-throughput scaling across thousands of tenant environments.\n Incident Response & Production Support: Lead incident investigations, root cause analysis, and long-term remediation for production service interruptions. Participate in on-call rotation and drive systemic fixes to prevent recurrence.\n Mentorship & Technical Leadership: Mentor engineers, drive DevOps best practices across teams, and raise the technical bar for infrastructure engineering quality.\nYou Are\n\n A hands-on technical leader with strong analytical and problem-solving skills and a passion for high-quality infrastructure engineering.\n Technically curious and self-motivated, able to self-teach new technologies and prioritize complex tasks in a fast-paced environment.\n A collaborative partner who works seamlessly with security teams, software developers, and product managers to drive alignment on infrastructure standards.\n Someone who thrives in ambiguous environments, takes ownership of complex technical challenges, and influences across teams without direct authority.\n An encouraging mentor who enjoys upskilling engineers and continuously improving reliability, automation, and customer experience.\nYour Experience Includes\n\n Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.\n Experience: 8+ years in DevOps, SRE, or Platform Engineering roles.\n Container Orchestration: Expert knowledge of Kubernetes, Helm, Linux, Docker, and networking\n Multi-Cloud Platforms: Strong working knowledge of Azure, AWS, and GCP, with specific depth in at least one.\n Automation & Scripting: Proficiency in Go and/or Python, plus Bash/Shell scripting for infrastructure automation and integrations.\n CI/CD & GitOps: Deep understanding of CI/CD pipelines (GitLab or similar), GitOps workflows, and infrastructure-as-code methodologies.\n Databases & Messaging: Experience with PostgreSQL, Elasticsearch, and distributed messaging systems (Apache Kafka, NATS).\n Security & Compliance: Experience with security scanning, container image hardening, and vulnerability remediation in enterprise environments.\n Production Operations: Experience supporting enterprise production environments and handling customer escalations.\n Methodologies: Prior experience working in Agile/Scrum enterprise software development.\n Communication: Excellent verbal and written communication and technical leadership skills.\nExtra Awesome\n\n Experience building and publishing B2B enterprise software on Azure Marketplace, AWS Marketplace, or GCP Marketplace.\n Proven experience with Chainguard or other minimal, hardened container distributions for software supply chain security.\n Experience with on-premises enterprise software deployments (K3s, microk8s, airgapped environments).\n Familiarity with Temporal workflow orchestration or similar durable execution frameworks.\n Prior exposure to MLOps methodologies, including model versioning, pipeline auditability, and AI asset discovery.\n Experience with service meshes, Kubernetes operators, and AI-assisted operations.\n\n \n For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.\n \n \n Salary Range\n \n \n $165,000—$247,500 USD\n \n\n Where we Work\n We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.\n Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.Benefits\n As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.Resources \n Check out the following to learn more about OneTrust and its people: \n \n OneTrust Careers on YouTube\n @LifeatOneTrust on Instagram\n Your Data\n You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.\n \n Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.Our Commitment to You \n When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. \n OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Role Overview: We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment. Requirements • Partner directly with clients to understand complex business problems and translate them into GenAI and Agentic AI solutions., • Design, build, deploy, and scale LLM applications, RAG systems, AI agents, and multi-agent workflows., • Integrate AI solutions with enterprise data, APIs, databases, and business applications., • Deploy, operate, and scale solutions in production cloud environments., • Troubleshoot and optimize production systems for performance, scalability, reliability, security, and cost., • Collaborate closely with architects, ML engineers, developers, and client stakeholders in fast-moving, ambiguous environments. Qualifications: Engineering Foundation • 7+ years in software engineering, application development, ML engineering, or AI engineering., • Strong Python programming skills., • Solid grasp of APIs, system design, databases, cloud-native applications, and production deployments., • JavaScript/TypeScript experience is a plus. GenAI / Agentic AI Expertise • Proven experience building and deploying end-to-end GenAI and/or Agentic AI solutions., • Hands-on experience with LLMs — OpenAI, Anthropic Claude, Google Gemini, and open-source models., • Hands-on experience with RAG, vector databases, embeddings, tool/function calling, and AI agents., • Experience with agent orchestration, multi-agent systems, or agentic workflows., • Familiarity with frameworks such as LangGraph, LangChain, LlamaIndex, Google ADK, or similar., • Working knowledge of MCP, A2A, or similar agent integration protocols. Cloud & Production • Hands-on experience with at least one major hyperscaler — AWS, Azure, or GCP — including targeted expertise in:, • AWS Stack: Designing workflows via Amazon Bedrock (Claude, Llama), deploying scalable RAG using OpenSearch Serverless (Vector Engine), and configuring Bedrock Guardrails for client VPCs., • Azure Stack: Deploying enterprise LLMs via Azure OpenAI Service (PTU optimization), building hybrid RAG systems with Azure AI Search, and orchestrating flows using Azure AI Foundry and Semantic Kernel., • GCP Stack: Scaling applications within Vertex AI, managing production pipelines, structuring enterprise RAG with Vertex AI Vector Search + BigQuery, and building agentic flows with Gemini APIs., • Exposure to LLM evaluation, observability, monitoring, guardrails, or LLMOps. The FDE Mindset • Strong customer-facing communication and sharp problem-solving instincts., • Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production., • Equally at home with business and technical stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description The DevOps Engineer role will be accountable for designing, developing, testing, deploying, and monitoring software applications and infrastructure using agile and DevOps methodologies. We are looking for a person with in-depth knowledge and understanding of DevOps strategies to enhance software delivery and infrastructure efficiency. Naturally limiting customer impacting outages is the priority in any operations role, and this is no different. In support of this goal, we need to improve the documentation and monitoring of our stack to give us proactive notifications of potential issues so we can inform impacted parties in advance. Automation will be paramount to the future success of our organization, so you should already be thinking of ways that this can be accomplished with modern tools to further improve the customer experience. The DevOps Engineer collaborates effectively with other software engineers, quality assurance engineers, product managers, and stakeholders to deliver high-quality software solutions that meet business needs and customer expectations. Responsibilities · Communication and collaboration Communicate and collaborate effectively with teams, managers, and customers. · System administration DevOps engineer will manage system administration, such as provisioning and managing servers, deploying databases, security monitoring, system patching, and managing internal and external network connectivity. · Experience with DevOps tools DevOps engineer will be responsible to Implement multi environment application configuration management solution, branching Strategy and versioning policy for efficient software delivery, implement promotion workflows for each of the services to propagate software across multiple environments, deployment automation, and deployment workflow management and implement running integration test suits. · Configuration management DevOps engineers will work on configuration management tools such as Github, Chef, Puppet, or Ansible to automate system administration tasks such as deploying new systems or applying security patches to systems already running. · Containers and container orchestration Implement Container orchestration (i.e.) automatically provisions, deploys, scales, and manages containerized applications and to automate the life cycle management of containers. · Continuous integration and continuous deployment Automate the process of building, testing, and deploying software using Continuous integration and continuous Delivery (CI/CD) · System architecture and provisioning DevOps engineers should design, provision, and manage computer ecosystems, whether on-premises or in the cloud and support Infrastructure as Code (IaC). DevOps engineers should model system infrastructure in the cloud using Terraform. · Familiarity with coding and scripting Automate repetitive tasks. DevOps engineers should implement agile development practices such as code reviews and using source control. Skills Required · Bachelor’s degree in computer science, Engineering, or related field, or equivalent work experience. · Salesforce Expertise with Copado and Salesforce Development · At least 6 years of experience in software development, testing, and deployment using agile and DevOps methodologies. · Strong knowledge and experience in Java, Python, or other programming languages. · Strong knowledge and experience in GCP, AWS, Docker, Kubernetes, or other cloud and container technologies. · Strong knowledge and experience in Jenkins, Git, or other CI/CD tools. · Strong knowledge and experience in software quality, security, performance, scalability, reliability, and maintainability. · Strong problem-solving, troubleshooting, and analytical skills. · Strong communication, collaboration, and documentation skills. · Certification in GCP, AWS, Docker, Kubernetes, or other relevant technologies is a plus. · DevOps Certifications Foundation and Leader. · Salesforce certifications such as Platform Developer I/II or Administrator- Preferred. · Copado certification (e.g., Copado Administrator or Developer)- Preferred.

Job DescriptionAbout the Role PayMitto is looking for an Implementations Manager to own the onboarding and go-live process for our clients, from contract signature through production launch. You will run day-to-day implementation projects for a portfolio of financial institution (FI) clients, coordinating with engineering, compliance, and client success, and serving as the point person when things get complicated. You will spend your days moving between client-facing meetings, internal standups, and hands-on problem solving with engineering and vendor partners (Q2, SoCure, Sardine, and similar platforms). We are searching for someone who is equally comfortable running a structured project plan and diving into a technical escalation to figure out what is actually going wrong. We're looking for an IT Operations Engineer who loves keeping things running and also enjoys getting hands-on with cloud and customer onboarding. This role is a blend of two worlds: • About 60% internal IT operations, keeping our team productive and secure, • About 40% Azure support, customer provisioning, and integrations If you like variety, enjoy automating the boring stuff, and want to work closely with cloud engineers, InfoSec, and Implementations, this one's for you. Our IT Operations Engineer will be based in Atlanta, GA. This is a hybrid role requiring Tuesdays and Thursday in-office at the Battery. What You'll Do Internal IT Operations • Manage our laptop fleet through MDM (Jamf, Intune), including enrollment, configuration, and compliance, • Manage endpoint protection tooling, • Track inventory and handle software purchases, subscriptions, and vendor relationships, • Administer Microsoft 365, including Exchange Online and SharePoint, • Own identity and access in Entra ID, including RBAC and employee onboarding and offboarding, • Manage our domain portfolio and DNS, including DKIM, DMARC, and related mail security controls, • Manage the certificate and credential lifecycle (TLS/SSL for company websites, mTLS for client integrations), • Administer Slack and Teams, • Document processes and build scripts and runbooks to automate recurring work, • Monitor and triage the internal helpdesk queue and support staff with day-to-day IT needs, • Support our on-site environment, including fiber, Wi-Fi, the security badge system, and in-person laptop troubleshooting, • Participate in change management for infrastructure and access changes, • Take part in a rotating on-call or escalation schedule, • Partner with InfoSec on security and compliance controls Azure Cloud Support, Customer Provisioning & Integrations • Create and configure new customer environments across Azure, PostgreSQL, Auth0, and third-party platforms (like Q2), • Build SFTP file delivery pipelines using Azure Data Factory, • Configure SSO integrations through Auth0, • Troubleshoot provisioning and integration issues as they come up, • Act as a technical liaison: meet with internal teams and clients to gather requirements, work out integration specs, and guide customers through onboarding, • Monitor system health and uptime, and respond to alerts for API and web application failures, • Support our cloud infrastructure, including routine Azure resource and permissions requests, reviewing and running SQL scripts, Defender for Cloud findings, and patching through Azure Update ManagerWhat We're Looking For, • 5+ years in IT operations, systems administration, or a related tech role, • Experience provisioning and managing accounts across cloud and SaaS platforms (Azure, database platforms, identity providers), • Familiarity with identity and SSO platforms, • MDM experience (Jamf, Intune) managing a device fleet, • Microsoft 365 admin experience: Exchange Online, SharePoint, Entra ID, • Scripting skills in PowerShell, Bash, and Python, • Solid understanding of networking, DNS, SSL/TLS, and mTLS, • Comfort owning a helpdesk queue and prioritizing competing requests, • Experience with vendor and subscription managementBonus Points, • Fintech or regulated industry experience (SOC 2, PCI), • Experience with Azure Data Factory or similar file transfer and ETL tools, • Exposure to Azure infrastructure (App Services, storage, networking), • Background with endpoint protection or security toolingWhat Success Looks Like First 30 days • Get a broad understanding of our IT stack and the customer provisioning workflow, end to end, • Shadow existing processes, • Start handling helpdesk tickets on your own First 90 days • Handle customer provisioning independently with minimal oversight, • Flag gaps in automation and documentation, and work with others to close them, • Use our MDM tooling to improve how we manage devices First year • Cut turnaround times across key IT functions, • Build self-service or automated tooling for repetitive tasks, • Identify and resolve coverage gaps, • Set clear ownership boundaries with the cloud engineering and InfoSec teams Powered by JazzHR 7xssC6oyru

Job DescriptionAbout Saviynt Saviynt is a leader in identity security, delivering an AI-powered platform that governs and secures access to applications, data, and business processes for global enterprises and government institutions. Built for the AI era, Saviynt helps organizations move faster—securely and compliantly. Why This Role Matters Saviynt’s SaaS platform runs on complex, distributed, cloud-native systems. As a Staff Platform Engineer, you will play a critical role in ensuring these systems remain highly available, scalable, and secure as the company grows. This is a hands-on engineering and technical leadership role. You will own reliability for major platform domains, design scalable solutions on Kubernetes and AWS, and drive automation and reliability improvements across multiple teams. What You’ll Do In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on You will focus on creating reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on their core business logic and deliver features faster in a multi-cloud environment Design and build core platform components and shared infrastructure services that other development teams will integrate with and leverage to deploy and operate their applications Architect, implement, and manage highly available and scalable Kubernetes platforms as a service for internal consumers Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang) Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service, providing standardized and automated deployment workflows for various development teams Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support Participate in on-call rotations to support the critical shared infrastructure you build What We’re Looking For 1+ years of experience as a Staff SRE with a strong focus on building tools and services for other engineers Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures) Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation Extensive hands-on experience with at least one major Cloud Provider (AWS, GCP, or Azure); multi-cloud experience is a strong plus, especially in building abstractions over them Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure Strong experience with RESTful API design principles and building well-documented, consumable APIs Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences A strong customer-centric mindset, treating internal development teams as your primary customers Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required Why Join Saviynt • Work on a large-scale, cloud-native SaaS platform • Solve complex reliability challenges at scale • Influence platform architecture and engineering practices • Competitive compensation, benefits, and career growth Security & Compliance This role requires adherence to Saviynt’s information security and privacy policies, including annual security training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FormativGroup is hiring an Full Stack Tech Lead Engineer to join a Financial Services technology organization that builds and maintains digital products for tax professionals. The team develops internal tools, financial dashboards, analytics, reporting solutions, and other technology that improves how client-serving professionals work. This is a hands-on Full Stack Tech Lead Engineer role for an experienced technical lead who wants to step into people leadership without stepping away from delivery. You will serve as both the senior technical authority and the people leader: contributing code, setting technical direction, reviewing work, strengthening engineering practices, and helping the team use AI agents effectively across the software development lifecycle. The environment includes legacy .NET/C# services and Angular front ends alongside newer Python, Node.js, and React development. You will help modernize the stack in phases while keeping business-critical components stable. What You'll Work On • Lead from the keyboard: contribute production code regularly, use AI agents as part of day-to-day delivery, and stay close to the technical work., • Own the team's technical direction, architecture decisions, long-term technical health, and roadmap across new delivery, modernization, and technical debt., • Lead phased modernization of legacy .NET/C# and Angular components while building new capabilities with Python, Node.js, and React., • Break work into small, well-bounded tasks and route each task to the best executor - an engineer, an agent, or yourself - while keeping coordination lean and outcome-focused., • Own pull request review and provide fast, technically substantive feedback., • Build and manage the technical-debt backlog, resolving priority issues directly instead of relying only on delegation., • Hire, evaluate, coach, and grow engineers; set the technical hiring bar and help the team work effectively with AI agents., • Create and maintain agent operating instructions, verification protocols, and human-in-the-loop controls for code, tests, documentation, and infrastructure changes., • Run evaluation checks before merge and retain human-owned merge control for production branches., • Maintain strong automated testing across unit, integration, and end-to-end layers, and uphold consistent engineering practices across design, coding, testing, release, and operations., • Drive CI/CD automation, containerized delivery, and Infrastructure as Code for cloud-native applications., • Track engineering health and delivery metrics, including required reporting through Atlassian Compass., • Facilitate bi-weekly live demos from the cloud environment, including both product features and agent-enabled workflows., • Partner with the dedicated production support organization by providing tooling, automation, documentation, and runbooks that make the product easier to operate and support., • Reduce operational toil through automation while applying appropriate security guardrails, blast-radius limits, and audit trails to production-touching workflows., • Maintain visibility into WIZ Critical and Major findings and drive remediation within required service levels., • Keep architecture documentation, ADRs, runbooks, and agent instructions current and usable.What You'll Bring, • 5-7+ years of relevant software engineering experience, with clear experience as a senior engineer or technical lead and prior leadership of at least one engineering team., • Hands-on full-stack development depth and the desire to continue building while managing engineers., • Strong proficiency with Python, Node.js, and React for modern application development., • Experience maintaining and modernizing .NET/C# services and Angular front ends., • Demonstrated use of agentic or AI-assisted software development workflows in real delivery environments, not just experimentation., • Ownership of the full development lifecycle: build, test, release, operate, troubleshoot, and iterate., • Cloud-native application experience on Azure; AWS or GCP experience is also relevant., • Hands-on experience with containerized workloads and orchestration., • Infrastructure as Code experience with tools such as Bicep, Terraform, Pulumi, or AWS CDK., • Strong automated testing and CI/CD experience across full-stack delivery., • Ability to make significant technical contributions, solve complex engineering problems, and make sound architecture decisions., • Clear communication with both technical and non-technical stakeholders.How You Work, • You are a player-coach: comfortable owning people leadership while remaining an active practitioner., • You use AI agents to increase engineering throughput, but you keep quality, testing, security, and production decisions under clear human control., • You bring structure without creating unnecessary process and identify technical dependencies, delivery risks, and quality issues early., • You are comfortable working in a small-team environment where priorities can shift and where leadership means doing the work as well as directing it., • You balance modernization with stability and understand that business-critical systems must continue to perform while the architecture evolves.Additional Qualifications, • Bachelor's degree in Accounting, Finance, Information Systems, Economics, Computer Science, Engineering, or a related field is required., • Exposure to financial services, accounting, finance, tax technology, finance transformation, tax software development, or implementation environments., • Ability to take ownership of assigned work through completion, including requirements, configuration, testing, debugging, and system/process changes.Bonus Points If You Have, • Relevant professional certifications or advanced degrees - such as CPA, EA, JD, or a master's degree in business administration, finance, economics, computer science, information systems, engineering, quantitative economics, or a related field - are a plus, but not required., • Familiarity with GitHub, GitHub Actions, Atlassian tools, SonarQube, Mend, Aqua Trivy, and WIZ., • Experience with micro front-end architectures., • Experience modernizing mixed legacy/new technology environments while continuing to ship., • Experience building practical engineering guardrails for AI-assisted or agentic development.What Success Looks Like, • The team ships predictably while maintaining strong quality, testing, security, and release discipline., • The Engineering Manager remains technically credible and materially contributes to delivery rather than operating only as a coordinator., • Legacy components remain stable while modernization progresses in deliberate, low-risk increments., • AI agents are used productively with clear verification, human review, and production controls., • Engineers receive timely technical feedback, coaching, and clear expectations, and the team's technical hiring bar remains high., • Operational support improves through better automation, runbooks, documentation, and reduced manual toil.Why Join FormativGroup At FormativGroup, you'll work with people who are practical, collabroative, and focused on solving meaningful business and technology problems. We're growing, which means you'll have opportunities to contribute ideas, work closely with experienced leaders, and help shape how we deliver for our clients. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range: $190,000—$210,000 USD FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

Job Description POSITION: Senior Microsoft 365 Engineer (Identity, Endpoint & Compliance) We’re hiring the engineer who’ll own the Microsoft 365 platform at WellStreet, in an environment where identity and data governance are HIPAA obligations and not checkboxes. The governance you put in place is what we’ll run on, and how it gets managed is yours to define. A week in this job: Monday you’re designing the sensitivity label taxonomy and the DLP policies that enforce it across Exchange, SharePoint and Teams. Tuesday a clinical vendor needs SSO and SCIM, so you stand it up, and you’re the one who catches that their deprovisioning webhook never fires. Wednesday you close quarterly access reviews on privileged groups, driven off a Graph script you wrote instead of a spreadsheet somebody emails around. Thursday a Critical CVE lands from SecOps and you own the triage and the clock. Friday you take the Intune configuration that has only ever existed in an admin center and get it into the repo. What you’ll own: • Entra ID: tenant architecture, Conditional Access, hybrid identity, privileged access, password protection and SSPR, access reviews, • Intune: tenant configuration across Windows, macOS, iOS and Android. Compliance and configuration profiles, security baselines, Autopilot, update rings, app packaging., • Exchange Online, Teams and SharePoint: tenant configuration, mail flow, transport rules, • Purview: DLP, sensitivity labeling, retention, audit configuration, eDiscovery, and HIPAA and HITRUST control mapping, • Enterprise Applications: SSO and SCIM across the portfolio, plus the standard that no app touching PHI runs on standalone credentials, • Defender: endpoint detection and response on every managed device, Defender for Office 365 anti-phishing and threat investigation, and the unified alert view across the M365 estate. Defender for Servers, Defender for Cloud, and Defender for Identity — the workload security surface — sit with infrastructure., • Vulnerability response: CVE triage from SecOps, remediation tracking, weekly report, • The application portfolio: an accurate catalog, runbooks that work, and the vendors in your domain held to their SLAs and their BAAs Where the lines are: Your world is Microsoft 365 and the people who use it: identity for humans, endpoints, collaboration, and governance of the data your users create. Azure cloud infrastructure, the applications running in it, and workload identity sit with our infrastructure side. Entra ID is shared, since it’s identity for both halves, and we split it by what the identity represents — people are yours, machines are theirs. The same split carries into Defender: endpoint and email protection are yours, workload protection on Servers, Cloud, and Identity is theirs. This job has depth, autonomy and a lot of engineering in it, but the depth runs toward M365 and not toward Azure. If you’d rather be building infrastructure, we’d both prefer to find out now. How we work, and where we’re going: Today this tenant is managed largely by clicking in admin centers. That’s what we’re hiring you to change. We’re building toward version-controlled, API-driven management in an Azure DevOps repo, with Graph and PowerShell as the primary instruments, app-only auth and Key Vault instead of interactive logins, and Python or declarative tooling where they earn their place. We have no illusions about how far that goes, since parts of the M365 surface have solid config-as-code coverage today and parts don’t. What we’re after is that opening a portal becomes a deliberate exception. We’re not asking for prior GitOps-on-M365 experience. That market barely exists and the tooling is mid-shift. We’re asking for the instinct and the judgment; the specific tooling we’ll work out together. We use AI heavily across engineering, administration and documentation, and we expect fluency with it, including a clear sense of what has to be reviewed after it touches a tenant holding PHI. What we need: • Five or more years in M365, identity or security engineering, with tenant-level depth in Entra ID and Intune, • Real Purview configuration experience: writing DLP policies, labeling, retention, eDiscovery. Not just familiarity., • Microsoft Graph and PowerShell fluency. This is the one hard technical gate. You automate by default and you’ve built real things against the API. Python is a plus., • Version control is where your work lives, and branches and pull requests are normal practice for you, • You’ve worked against a regulated framework, whether HIPAA, HITRUST, SOC 2 or PCI, and you can explain a control instead of just naming it, • You use AI daily and can say where you trust it and where you check it Nice to have: Terraform, Bicep or Azure DevOps pipelines. Any exposure to declarative M365 management: Microsoft365DSC, a Terraform M365 provider, the Graph Tenant Configuration Management APIs. Healthcare IT. Owning a vulnerability or patch compliance program. FreshService or a comparable ITSM. ITIL v4. SC-200, SC-300, SC-400, MS-102, MD-102. Why take this job: Real platform ownership, plus the mandate and the backing to build an engineering practice around it: version control, review and automation in place of tribal knowledge and portal archaeology. You’re the first dedicated hire for this function, so you’re setting standards instead of inheriting a decade of somebody else’s. As we add engineers, this seat is the obvious lead. About WellStreet Urgent Care WellStreet Urgent Care is committed to providing the highest quality patient and customer care. Our technology team plays an important role in supporting the people, systems, and operations that allow our urgent care centers to deliver exceptional service to our patients and communities. In addition to the above requirements, WellStreet is looking for team members with the following qualities: • A positive attitude toward patients, families, and coworkers., • Willingness to go the extra mile to create an outstanding experience for customers and to train and lead the center team to do the same., • A desire to work in concert with others in an upbeat and supportive atmosphere while reinforcing the WellStreet mission to provide uncompromising service., • A compelling desire to serve others, improve your community's health, and have fun every day.

Job Description At the forefront of health tech innovation, CopilotIQ+Biofourmis is transforming in-home care with the industry's first AI-driven platform that supports individuals through every stage of their health journey-from pre-surgical optimization to acute, post-acute and chronic care. We are helping people live healthier, longer lives by bringing personalized, proactive care directly into their homes. With CopilotIQ's commitment to enhancing the lives of seniors with chronic conditions and Biofourmis' advanced data-driven insights and virtual care solutions, we're setting a new standard in accessible healthcare. If you're passionate about driving real change in healthcare, join the CopilotIQ+Biofourmis Team! What is the Senior Manager, Data Engineering & Analytics role? CopilotIQ is looking for a Senior Manager, Data Engineering & Analytics to lead and scale our data function. This is a remote, United States-based role reporting to the VP of Engineering. This is a hands-on player-coach position. You will lead a small global team with two direct reports across the Americas and India, while personally contributing to data architecture, pipelines, analytics, dashboards, data quality, and customer-facing deliverables. The ideal candidate is a strong data engineer first: resourceful, highly accountable, comfortable solving ambiguous problems, and able to communicate clearly with technical teams, business leaders, and customers. You will own the foundation that supports clinical operations, product decisions, financial reporting, customer reporting, and company-wide analytics. What you'll own: • Lead and develop a small global team across data engineering, analytics, and BI., • Own the architecture, reliability, and evolution of the analytical data platform., • Design and build scalable batch and event-driven pipelines across clinical, operational, product, financial, and customer data., • Establish strong data-quality practices, including testing, monitoring, lineage, reconciliation, alerting, and incident response., • Define trusted metrics, dimensional models, curated datasets, and semantic layers., • Deliver dashboards, recurring reports, customer reporting, self-service datasets, and actionable insights., • Partner directly with clinical, operations, product, finance, engineering, and commercial stakeholders., • Lead customer-facing discussions involving reporting requirements, metric definitions, discrepancies, and data-delivery issues., • Investigate complex data problems, identify root causes, and implement durable solutions., • Improve platform performance, cost efficiency, security, privacy, and maintainability., • Set priorities, review technical work, coach team members, and help scale the organization as the company grows. What You'll Be Doing • Building and operating pipelines using AWS Glue, Lambda, SNS, S3, PySpark, and Amazon Redshift., • Developing and maintaining dbt models, Airflow workflows, data tests, and monitoring., • Designing dimensional models, star schemas, and curated analytical layers., • Using SQL and Python to investigate data, validate results, and solve production issues., • Building and reviewing dashboards and reports in Sigma, Looker, or similar BI tools., • Translating ambiguous business and customer needs into clear, scalable data solutions., • Taking business questions from discovery through metric definition, analysis, visualization, and recommendation., • Reviewing architecture, code, data models, dashboards, and analytical approaches., • Communicating findings, risks, limitations, and recommendations to technical and non-technical audiences., • Balancing strategic platform improvements with urgent operational and customer needs. What you'll bring: • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience., • 5+ years of data engineering / data-platform experience., • 2+ years of technical leadership experience and mentoring engineers., • Deep hands-on experience designing, building, and operating production data platforms and pipelines., • Strong experience with data architecture, ingestion, orchestration, transformation, modeling, warehousing, and performance optimization., • Advanced SQL skills and strong proficiency in Python and PySpark., • Experience with dbt, Apache Airflow, AWS Glue, or comparable tools., • Experience designing dimensional models, star schemas, and curated analytical layers., • Demonstrated ownership of data quality and reliability, including testing, monitoring, lineage, reconciliation, and operational support., • Experience building dashboards, reports, semantic layers, and self-service datasets using Sigma, Looker, or comparable platforms., • Strong backend engineering fundamentals, including APIs, distributed systems, and event-driven architecture., • Experience working directly with customers, executives, and cross-functional stakeholders., • Excellent written and verbal communication skills., • Strong ownership, urgency, judgment, resourcefulness, and follow-through., • A hands-on leadership style and willingness to personally solve difficult problems., • Ability to lead effectively across time zones. Technologies • Cloud and Data Platform: AWS, Amazon Redshift, S3, Lambda, Glue, SNS, • Transformation and Orchestration: dbt, Apache Airflow, AWS Glue, • Processing: Apache Spark, PySpark, • Databases: DocumentDB, MongoDB, DynamoDB, or similar operational databases, • Analytics and BI: Sigma, Looker, or comparable platforms, • Languages: Advanced SQL, Python, PySpark; Java or another backend language is helpful, • Modeling: Dimensional modeling, entity-relationship modeling, star schemas, and semantic layers Bonus Points • Experience with healthcare data, payer data, clinical workflows, remote patient monitoring, or care-management operations., • Working knowledge of HIPAA and secure handling of protected health information., • Experience producing customer-facing healthcare or operational reporting., • Experience leading a distributed or global team., • Experience scaling a data function or hiring data engineering and analytics talent., • Familiarity with Terraform or infrastructure as code., • Experience with data governance, metric definitions, data catalogs, or semantic-layer initiatives., • Familiarity with machine-learning techniques or platforms.

Job Description Juvare is a SaaS company focused on operational resilience, critical incident management, and mission coordination. Our products serve state and local government, federal civilian and defense agencies, public and private healthcare organizations, and critical infrastructure operators. Our portfolio includes WebEOC Nexus, the Unified Command Platform, Juvare Exchange, Juvare AI, HealthSuite, CrisisTrack, and related workflow, intelligence, communications, and recovery solutions. About the Role We're looking for a mid-to-senior DevOps Engineer who thrives at the intersection of infrastructure automation and applied AI tooling. You'll help us build and scale the systems that keep our cloud infrastructure secure, compliant, and efficient — while also driving adoption of AI-assisted engineering workflows (agentic coding tools, automation pipelines, and AI-powered operational dashboards) across the team. This isn't a "keep the lights on" DevOps Engineer role. You'll be expected to actively look for ways to automate toil out of infrastructure, security, and compliance work — and to bring modern AI tooling into that process where it adds real leverage. Location • Atlanta / Remote What You'll Do • Design, build, and maintain infrastructure-as-code (Terraform) across multi-account cloud environments, with an eye toward cost efficiency, security, and compliance (FedRAMP/GovCloud experience a strong plus), • Build and maintain CI/CD pipelines supporting frequent, safe deployments, • Develop automation workflows (e.g., n8n, Zapier, custom scripts/APIs) that reduce manual operational and compliance work, • Integrate AI coding assistants and agentic tools (Claude Code, Copilot, or similar) into engineering workflows, and help establish governance/cost practices for AI tooling adoption org-wide, • Monitor infrastructure health and security posture using tools like Datadog, building dashboards and alerting that surfaces real signal, end-to-end visibility, actionable alerts, dependency monitoring, and automated remediation., • Continuously identify opportunities to eliminate repetitive work through scripting, IaC, or AI-assisted tooling What We're Looking For Required: • 4–7+ years in DevOps, SRE, or cloud infrastructure engineering roles, • Strong hands-on experience with a major cloud provider (AWS, Azure); AWS GovCloud experience is a plus, • Proficiency with infrastructure-as-code (Terraform strongly preferred), • Solid scripting/automation skills (Python, Bash, or similar), • Experience with CI/CD tooling (GitLab CI, GitHub Actions, Jenkins, or similar), • Comfort working in regulated/compliance-heavy environments (FedRAMP, IL5, SOC 2, or similar), • Genuine curiosity about AI/automation tooling and a track record of adopting new tools to improve workflows Nice to Have: • Experience with low-code automation platforms (n8n, Zapier), • Familiarity with AI coding agents (Claude Code, GitHub Copilot, Codex) in a professional engineering setting, • Experience supporting federal clients or federal compliance frameworks (FedRAMP, IL5), • Datadog or equivalent observability platform experience, • Container hardening / security scanning experience (e.g., RapidFort) Additional Information: This position requires access to information that is controlled by the Export Administration Regulations ("EAR"). A candidate must qualify as a "U.S. Person" or be otherwise eligible to access EAR covered materials through an EAR exception or license. A "U.S. Person" as defined by the EAR includes a U.S. Citizen, U.S. national, lawful permanent resident, refugee, or asylee. As the Company is a partner with the United States government, this position may require access to sensitive government information. Accordingly, candidates must be capable of passing an SF-85 background check and obtaining public trust clearance if required. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. EEO Statement Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law. Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to human-resources@juvare.com. The e-mail should include a description of the requested accommodation and the position you're applying for or interested in. Affirmative Action: Juvare's Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.

Job DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity: Flexport IT is looking for a Senior Systems Engineer (Identity & Access). In this role, you will design, implement, and administer our Identity and Access Management (IAM) solutions to ensure secure, efficient user lifecycle management. While you are our resident Okta expert, you are also a high-level IT generalist. You will oversee our broader SaaS ecosystem (Google Workspace, Slack, Jira) and endpoint management infrastructure (Jamf, Intune). Your expertise will drive automation, protect sensitive data, mitigate security risks, and maintain compliance in a heavily regulated industry. You will continually strive towards automation of toil. If you are still manually doing the same operational tasks 18 months from now, something has gone wrong. Flexport's book of business is growing fast, but the promise of technology is that we can grow our business faster than our headcount. The automation you build will be a key factor in that effort. You Will • IAM Architecture: Design, implement, and maintain the end-to-end lifecycle of Identity and Access Management platforms., • Okta & Directory Trust: Administer Okta, directory services, Multi-Factor Authentication (MFA), and advanced password management., • SaaS Operations: Manage core collaboration tools including Google Workspace, Microsoft O365, Slack, and Jira/Confluence., • Unified Endpoint Management: Oversee our global fleet of Mac and Windows devices using Jamf and MS Intune., • Lifecycle Automation: Build automated workflows for provisioning, deprovisioning, and application access., • Identity Governance: Establish role-based access control (RBAC), entitlement reviews, and access certification processes., • SSO Integration: Lead the technical onboarding of new SaaS applications for Single Sign-On (SSO)., • Security Partnership: Collaborate closely with the Security team to embed security best practices into our IT infrastructure., • Documentation & Roadmaps: Author technical operating procedures, engineering roadmaps, and compliance policies., • Operations Support: Provide high-tier technical leadership and escalation support for complex IT operations.You Should Have, • Experience: 5+ years of experience in IAM systems engineering paired with broad IT infrastructure management., • Okta Expertise: Deep, hands-on mastery of Okta configuration, policy creation, and application integration., • Core Protocols: Strong knowledge of IAM standards including SAML, SCIM, OAuth, OIDC, IGA, RBAC, and LDAP., • Automation Skills: Experience with scripting (e.g., Python, Bash, or PowerShell) and Okta Workflows to automate IT tasks., • SaaS & Endpoint Ecosystem: Proven track record managing Google Workspace, Slack, Jira, Jamf (macOS), and Intune (Windows)., • Education: Bachelor's degree in Computer Science, a related field, or equivalent practical engineering experience., • Compliance Mindset: A "compliance-first" attitude to navigate the rigorous requirements of a heavily regulated industry., • Soft Skills: Excellent problem-solving abilities paired with strong collaborative and interpersonal communication. #LI-remote The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. California Pay Range $130,000—$172,000 USD Washington Pay Range $115,200—$144,000 USD Colorado Pay Range $105,600—$132,000 USD New York City Pay Range $115,200—$144,000 USD Illinois Pay Range $105,600—$132,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job DescriptionSenior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required. Key Responsibilities • Create reinforcement learning environments for software engineering tasks., • Design tasks involving bug fixing, feature development, refactoring, and performance optimization., • Build deterministic verification systems and golden reference solutions., • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively., • Develop realistic, reproducible software engineering scenarios., • Ensure tasks accurately measure coding ability, problem-solving, and tool usage., • Document solutions and provide clear technical feedback.Required Skills, • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript., • Strong understanding of algorithms and data structures., • Experience with bug fixing and debugging complex software issues., • Proven experience in feature implementation and codebase refactoring., • Strong knowledge of performance optimization and tuning., • Excellent written and verbal communication., • Strong attention to detail.Preferred Qualifications, • Experience working with large-scale or distributed codebases., • Familiarity with AI/ML systems is a plus but not required., • Experience with rigorous code reviews and software engineering best practices., • Experience working effectively in remote or cross-functional teams.Hiring Process, • Submit an application and screening questions., • Complete an AI interview (~30 minutes)., • Complete a technical assessment, if required., • Hiring Manager review.Compensation Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.

Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Their innovative strategies and solutions securely and rapidly transform the way their clients do business. As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and then deliver projects for customers as part of a team. This is a hands-on role involving consulting, leading, coding, and delivering sophisticated AI solutions. Projects will span from workshops to comprehensive enterprise-level deployments. Responsibilities • Implementing AI solutions through people, processes, and technology, • Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions., • Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives, • Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities, • Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring. Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential, • Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes, • Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation Minimum Requirements, • Bachelor’s degree in computer science, artificial intelligence, data science, or a related field, • Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives, • 5 years of professional software engineering experience in Azure and Python, • 3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc., • 2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio., • Production experience with Azure AI platform, and the implementation of enterprise solutions, • Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models Preferred Qualifications, • Professional software engineering experience in C#.net, • Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Developing cloud software services and an understanding of design for scalability, performance, and reliability in Azure, • Ability to support go-to-market content with technical support and present AI related research to customers and at events, • Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs., • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionConcept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT. The Industry 4.0 Engineer will lead the design, implementation, and optimization of smart manufacturing systems and processes. This role focuses on integrating advanced technologies such as IoT, automation, big data analytics, artificial intelligence, and cyber-physical systems to enhance operational efficiency, productivity, and innovation. The ideal candidate is a proactive problem-solver with a strong technical background and a passion for digital transformation.Responsibilities • Design and implement Industry 4.0 solutions, including IoT devices, automation systems, and digital twins, to optimize manufacturing processes, • Develop and deploy data analytics platforms to monitor real-time performance, predict maintenance needs, and improve decision-making, • Analyze existing processes and recommend improvements using Industry 4.0 technologies to reduce waste and increase efficiency, • Work with AI, IT, operations, and engineering teams to align Industry 4.0 initiatives with business goals, • Provide training to staff on new systems and technologies, ensuring smooth adoption and operation, • Stay updated on emerging Industry 4.0 trends and technologies to drive continuous improvementMinimum Requirements, • US citizen or green card holder per client requirements, • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science, or a related field, • 3-5 years of experience in manufacturing, automation, or industrial engineering, with at least 2 years focused on Industry 4.0 technologies, • Proficiency in IoT platforms (e.g., MQTT, OPC UA), UNS, and industrial communication protocols, • Experience with automation tools (e.g., PLC programming, HMI, MES, SCADA systems), • Knowledge of data analytics tools (e.g., Python, R, SQL) and machine learning frameworks, • Familiarity with cloud platforms (e.g., AWS, Azure, Snowflake) and digital twin technologies, • Understanding of cybersecurity principles for industrial systemsPreferred Qualifications, • Certification in Industry 4.0, IoT, Ignition Core/Gold, or AWS Cloud Practitioner, • Experience with manufacturing in industrial applicationsAbout Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: Hybrid 3X a week in Atlanta, GA; 10% Travel Our client seeks a Systems Engineer with Retail & POS Technology experience to support store systems across software distribution, patch management, scripting, POS hardware and software, and production support. The role will operate on a small, collaborative team with a high degree of ownership. The engineer will design and validate technical solutions, manage Windows patching cycles, automate operational tasks, and troubleshoot integrations across POS, payment middleware, and central systems. Success requires proficiency with Windows environments, PowerShell or Python, SQL, and experience in distributed retail or hospitality settings. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $65.00/hr. w2 Responsibilities: • Independently manage software distribution and Windows patching cycles for assigned store-system segments with validation and rollback plans., • Author and maintain PowerShell or Python scripts to automate data collection, health checks, and recurring tasks., • Monitor KPIs, recommend preventative measures, and escalate systemic issues to L3 or Lead., • Configure and deploy POS hardware and software, including terminals, scanners, printers, and payment processors, and troubleshoot integrations with central systems and gateways., • Investigate equipment failures, perform root-cause analysis, and recommend improvements., • Build prototypes for pilots, contribute to gold-image creation, and execute staging and configuration for rollouts., • Partner with offshore vendors and QA on test planning, regression testing, and production deployments., • Translate business requirements into technical specifications and validate solutions., • Mentor L1 engineers on scripting, troubleshooting, and documentation standards. Experience Requirements:, • 3+ years of IT experience supporting POS and distributed retail/hospitality environments., • Strong experience troubleshooting production systems, integrations, and store technology., • Hands-on experience with Windows, patching, Event Viewer, and tools such as SCCM, Intune, BigFix, or Kaseya., • Proficiency with PowerShell and/or Python, plus working knowledge of Microsoft SQL Server., • Experience with POS/payment technologies, including EMV, tokenization, PCI, kiosks, or mobile POS., • Strong problem-solving and communication skills with the ability to work independently and manage multiple priorities. Education Requirements:, • B.S. in engineering, computer science, networking, or related field, or equivalent experience.Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics., • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications., • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction., • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems., • Debug and improve existing Verint implementations for performance, scalability, and user experience., • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies., • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment., • Document technical specifications, architecture designs, and system integration processes. Benefits: • Opportunity to work on cutting-edge AI initiatives., • Collaborative work environment that promotes innovation and creativity., • Comprehensive benefits package and professional development opportunities. Requirements • Proven experience in software development with a strong focus on AI technologies and methodologies., • Direct experience with Verint solutions and platforms., • Demonstrated experience with Verint AI., • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies., • Strong programming skills in languages such as Python, Java, or C#., • Solid understanding of social engineering techniques and digital behavior analysis., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving and analytical skills., • Effective communication skills, both verbal and written., • A degree in Computer Science, Software Engineering, or a related field. Benefits Competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024. https://www.capgemini.com/us-en/about-us/who-we-are/

Job DescriptionAbout the job Job Purpose We are seeking a Sales Engineer specializing in Mission Critical Video solutions. The position will be responsible for driving revenue by managing the pre-sales technical process and providing technical expertise and support to the sales team and clients. This role involves designing, specifying, and supporting mission-critical systems tailored for streaming media workflows operations centers. The ideal candidate will have a strong technical background in Systems Engineering, Network Engineering or AV/IT, preferably with experience in control room environments, excellent communication skills, and the ability to translate complex technical concepts into solutions that meet customer needs. RESPONSIBILITES: • Own the technical design of Company solutions proposed to partners and customers., • Become a Company technical evangelist, capable of demonstrating and explaining our products to both high-level decision makers and “deep dive” technical personnel., • Assist Account Executives with overall account management within assigned accounts & territories, • Assist sales account managers with project management for complex presales engagements., • Provide pre-sales technical/architectural support to partners and customers., • Remain knowledgeable and current with industry trends and technical developments that affect target markets, including competitive information., • Establish long-term relationships with resellers and integrators., • Attend and assist with the setup and operation of technical systems at regional training and tradeshows., • Provide support on-site and remote post-sale support when necessary., • Produce technical documentation including but not limited to, specifications, drawings, network diagrams and cost estimates, • Comfortable with domestic travel, including occasional international travel when necessary. SKILLS AND QUALIFICATIONS • Bachelors degree or higher in computer science, engineering or information systems (relevant experience in the military or industry can substitute for a degree), • Minimum of 3+ years in a pre-sales engineering role in the AV/IT space or similar discipline., • Experience in designing and implementing AV/IT systems for control rooms and operation centers, including video processing, video wall software, IP video, encoding and decoding technologies and advanced IP networks., • Experience with the design and deployment of streaming media services across complex LAN/WAN topologies., • Experience with network and computing security standards and best practices in government and commercial applications., • Experience with the design and deployment of audio-visual systems and components that complement Company solutions., • Some combination of experience in designing or managing of the following:, • Linux or Mac OSX server infrastructures, • Microsoft Windows Server and Active Directory infrastructures, • Local and wide area networks (routing/switching, wireless LAN, firewall security)., • Experience troubleshooting video processors, network media streaming solutions and multicast video distribution., • Familiarity with video compression technologies and real-time media transport protocols, such as MPEG-2 and MPEG-4/H.264, HEVC, RTP, MPEG2-TS, RTMP, HLS and MPEG-DASH., • Ability to interpret and / or produce design documents including but not limited to specifications, single-line diagrams and network architecture diagrams, • Understanding of web development or scripting languages such as Python, JavaScript, or various command shells, HIGHLY DESIREABLE: • Relevant certifications such as CompTIA Security+, CTS-D, CTS-I, CCNA, CCDP or equivalent., • Identity and access management experience with authentication, authorization, and access control mechanisms. ABOUT US: Haivision is a leading global provider of mission-critical, real-time video networking and visual collaboration solutions. Our connected cloud and intelligent edge technologies enable organizations globally to engage audiences, enhance collaboration, and support decision making. We provide high-quality, low latency, secure, and reliable live video at a global scale. Haivision open sourced its award-winning SRT low latency video streaming protocol and founded the SRT Alliance to support its adoption. Awarded four Emmys® for Technology and Engineering from the National Academy of Television Arts and Sciences, Haivision continues to fuel the future of IP video transformation. Founded in 2004, Haivision is headquartered in Montreal and Chicago with offices, sales, and support located throughout the Americas, Europe, and Asia. To learn more, visit Haivision at haivision.com. Why Work at Haivision MCS? Haivision is a small, cohesive group that provides exceptional products to a loyal and diverse client base. We’re a group of people who enjoy working together as well as with our awesome technology. We support professional growth and a comfortable work/life balance. Team members enjoy competitive compensation with full benefits, flexible schedules, ergonomic working stations and other perks. Our relaxed but inspiring headquarters is nested in Atlanta’s flourishing Armour Yards, right across the street from SweetWater Brewery and directly adjacent to Fox Brother’s BBQ. Haivision MCS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status. Powered by JazzHR Tui18l2DIX

Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. LAUNCH – Join AHEAD's Associate Development Program Our Mission: to attract and develop a diverse community of THE top IT consulting talent in the country and build AHEAD’s next generation of leaders. LAUNCH serves as the foundation to develop our talent into high potential leaders at AHEAD. By exposing you to a variety of career paths and building your acumen across different practices in the business, we’re accelerating your growth and career trajectory at AHEAD. Our development program is built on a foundation of technical training, completion of certifications, and shadowing, all supported by an ecosystem of AHEADians that will be part of your Launch journey, every step of the way! You’ll grow and develop key skills that will support your development as a technical and consulting expert. If you’re ready to begin an exciting career in IT Consulting, LAUNCH is where you should be! Associate Observability Engineer (Internally known as an Associate Technical Consultant) As an Associate Engineer in LAUNCH, you will start out in a 3-month training program within our Observability practice. Upon completion of LAUNCH, you will have the opportunity to work on client projects based on skillset, personal interest, and business needs. Who we’re looking for: Think Big, Learn, and Be Curious • Innovative Thinkers, • Enthusiastic Collaborators, • Creative Problem Solvers, • Curious Self – Starters Responsibilities:, • Ability to communicate effectively across teams, and build positive relationships, • Demonstrate ability to work on teams, collaborate on projects, and contribute to the overall successful delivery of projects, • Demonstrate drive and proactiveness to get things done, be solutions–oriented, and enjoy solving complex problems, • Demonstrate resourcefulness, curiosity, creativity, courage, critical thinking, and a desire to use technology to search for new and innovative solutions to problems, • Exercise sound reasoning, ingenuity, and inclusive perspectives to analyze issues, solve problems and make recommendations, • Ability to execute, manage competing priorities, and deliver to deadlines Qualifications:, • Document observability systems, solutions, and operational procedures thoroughly, • General software engineering and scripting proficiency (Python, Java, .NET), • Existing U.S. work authorization is requiredExperience in at least one of the below:, • Graduated with a degree in technical discipline by 1/11/2026, • Prior intern, co-op, or research experience in IT, software, or relevant field is a plus, • Successful completion in a technical–related bootcamp The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. We are unable to consider candidates who require visa sponsorship for this role. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Oversight Oversight is the leader in Finance Risk Intelligence, delivering AI-powered operational intelligence that helps Global 1000 finance teams identify, prioritize, and address financial risk with greater visibility, confidence, and control. Headquartered in Atlanta, GA, Oversight is purpose-built for enterprise finance and integrates across ERP, AP, T&E, procurement, P-cards, vendor statements, and payment systems to continuously analyze financial activity and transform fragmented data into actionable intelligence. By combining advanced AI, behavioral intelligence, and decades of finance risk expertise, Oversight helps organizations strengthen controls, automate low-risk resolution, and move from reactive reviews to continuous assurance in an increasingly complex financial environment. Recognized by Everest Group as a pioneer and leader in the emerging Finance Risk Intelligence (FRI) category, Oversight is helping define the future of AI-powered financial risk management. Position Overview: Job Purpose We are looking for an experienced hands-on Software Engineer who will lead the technical aspects of designing, developing and testing of various initiatives for the cloud platform software engineering team at Oversight. The role expects significant software engineering knowledge in complex UI and server-side applications, including new feature work, improvements on existing code, and active participation in designing and shipping the product. To be successful at Oversight, you should be able to: • Contribute to the design and development of new product features, • Translate business requirements into software design documents. Ensure application meets functional, performance, and technical requirements, • Work closely with development leads, and other developers to ensure proper implementation, • Effectively share technical information and train/mentor team members, • Establish a very high standard for quality and insure that this standard is consistently met, • Work in a fast-paced team environment to complete multiple projects simultaneously according to business and technical requirements Skills • Experience in software product development, preferably at a software vendor, • 1-2 years of hands-on full-stack development experience designing, building and supporting high-performing applications using Java and TypeScript, including Java server technologies, J2EE applications and Web Services, • Strong programming skills in Python, Java, and TypeScript, • Strong debugging/diagnostic skills including identifying and resolving performance issues, • Experience in modern web application development, • Experience using AI tools such as Cursor, Codex, or Claude Code to develop software, • Proficiency developing software products that access relational databases and data platforms such as Postgres and Databricks, • Ability to create and understand complex SQL statements, • Proficiency with Linux or other Unix command line interface, • Experience with cloud environments; AWS preferred, • Experience with unit testing and Continuous Integration (Maven, Junit, pytest), • Ability to use version control software such as git, • Experience with Scrum/Agile development methodologies, • BS in Computer Science or related discipline Additional desired skills include: • Experience with data warehouses and decision support systems, • Experience with Spark, • Experience with UI design and development, • Knowledge of Angular, Spring Boot, and HTML5, • Experience with Fintech Software, • Experience working with Offshore Testing / Development teams, • Experience with Jira and Bitbucket Ideal candidate will also have the following personal attributes: • Well organized to be able handle multiple projects, • Creative thinker, self-starter, able to work on multiple projects simultaneously, • Excellent communication skills, • Ability to adapt to a changing environment, • Ability to operate with a minimum of direct supervision