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The Senior Lead Cybersecurity Architect is responsible for defining the principles, standards, and design patterns to build secure products and enterprise tools for all of Cox Automotive's multi-cloud and on-premises environments. This position's architecture focus is on securing multi-cloud infrastructure and services and on-premises infrastructure. Peer cybersecurity architects will be focused on application security, software as a service (SaaS), and network security. This role will use their deep cybersecurity knowledge in the designing and building of secure infrastructure and services in both multi-cloud and on-premises environments. They must be able to collaborate with cross-functional teams throughout the organization and propose well-defined cybersecurity architectural guidelines to be adopted by product and enterprise engineering teams. This role will directly report to the Senior Director of Cybersecurity Architecture at Cox Automotive. Primary Responsibilities • Identify and recommend relevant cybersecurity policies, standards, procedures, and guardrails., • Drive the definition of cybersecurity guidelines across the product and enterprise architecture group by leading working groups focused on cybersecurity., • Develop secure design patterns in conjunction with the product and enterprise architecture group based on standards that can be adopted and implemented by engineering teams., • Contribute to the development of non-cyber architecture-related governance patterns, policies, and standards., • Provides complex analysis of potential risks to information systems' security and recommends innovative solutions., • Work with cross-functional technical, development and delivery teams to ensure the application of smooth, efficient and scalable release processes., • Engage with business teams and engineering teams to define cybersecurity guardrails that promote efficient and seamless adoption of secure design patterns., • Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring., • Research and evaluate emerging security trends, threats, and technologies, and recommend appropriate solutions and enhancements., • Collaborate with data users, software and other technical stakeholders to ensure security considerations are factored into and underpin development and operational decision making., • Collaborate with cybersecurity peers to incorporate vulnerability management, governance, risk and compliance, cyber defense, continuous controls monitoring, and identity governance into cybersecurity standards as a cohesive cybersecurity organization. Minimum Qualifications • Bachelor's degree in a related discipline and 8 years of experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years of experience; a Ph.D. and 3 years of experience in a related field; or 12 years' experience in a related field., • At least 4 years focused on cybersecurity., • Must have practical expertise in AWS cloud infrastructure and services and on-premises infrastructure., • Clearly articulate the objective of specific cybersecurity policies and procedures to technical and non-technical stakeholders., • Excellent customer service skills, writing, and executive presentation skills., • Develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities' cybersecurity teams to implement cybersecurity best practices., • Consultative nature to work through controversial or complex topics to employees, leaders, and/or senior leadership., • Evaluate risks and recommend actions based on impact and likelihood of the risk to the business., • Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, and containerization., • Creatively solving complex cybersecurity challenges while exhibiting solid, pragmatic business acumen., • Experience utilizing Agile methodologies., • Initiating change and deploying solutions in Fortune 1000 companies., • Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry relevant regulations that will guide architectural requirements (e.g., GDPR, FFIEC, GLBA)., • Collaborate with AI agents to create, validate, and assess architectural artifacts, • Lead cross-functional teams in designing AI-enhanced solutions, establish standards for AI integration, and assess AI technologies within solution architectures., • Implement AI-driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures., • Improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns. Preferred Qualifications • Experience in the development and design of cybersecurity standard methodologies to all layers of the hosting and application stack in both cloud and on-premises environments., • Relevant experience with application security, SaaS, network security, DevSecOps, and software-defined networking across a variety of environments and deployments., • Knowledge of Identity and Access Management (IAM), cryptography / key management, secrets management, access controls and security protocols (e.g., multi-factor, SAML, OAuth, OIDC)., • Experience with application security implementations and standard methodologies., • Extensive technology knowledge and recognized expertise in several areas including Python, .NET, Java, Spring frameworks, Oracle, serverless, cloud patterns, cloud service and user authentication or similar., • Experience with firewall, web application firewalls, and other edge services as well as deep understanding of DMZ and other network architectures., • AWS Well-Architected Framework., • Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure., • A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate)., • Big four consulting or Fortune 500 company experience., • Relevant industry certification (e.g., CISSP, CEH, OSCP, Azure, AWS, CISM, CISA). USD 144,900.00 - 241,500.00 per year Compensation: Compensation includes a base salary of $144,900.00 - $241,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

The Lead Application Security Engineer will partner with Security Engineering Enablement and Security Architecture to design and ship secure software: secure code reviews and help define requirements on prerelease control validation (SAST/DAST/SCA, API security, Container/IaC scans). Drive fix-first coaching-turn findings into clear remediation guidance and code examples, to help teams remediate security findings. The team is the Center of Excellence (COE) for Application Security, Web Application Firewalls and Cloud Security. In this capacity, the Lead AppSec Engineer can provide advice and guidance to teams in these areas to support the established standards and policies, in the form of Office Hours, Brown Bags or team consultation sessions. Primary Responsibilities: • Operate, administer, and continuously improve our off the shelf AppSec and CloudSec tools (WAF infrastructure management, user onboarding, policy/config, integrations)., • Triage and disposition vulnerabilities across SAST/DAST/SCA/API/IaC/CSPM sources; lead false positive reviews and suppression/exception workflows with strong audit trails., • Partner with Cloud Platform teams to harden AWS/Azure/GCP environments using CSPM/CNAPP controls, guardrails, and baselines; guide secure patterns for serverless, containers/Kubernetes, and secrets management., • Support system administration, configuration, and maintenance for the AppSec/CloudSec/WAF toolset (identity/roles, agent health, connectors, backups, upgrades, and DR testing)., • Evaluate security tools on an ongoing basis, to ensure we are leveraging the best toolset that meets the enterprise's needs, • Serve as first-line triage for Responsible Disclosure submissions, reproduce issues, determine severity/impact, assign owners/SLAs, and track to closure., • Ensure consistent communications with Responsible Disclosure reporters and internal stakeholders and maintain accurate records for compliance., • Use scripting/automation (Python, PowerShell, Bash, REST APIs, Terraform modules, GitHub Actions/Azure DevOps/GitLab CI) for ad hoc fixes and to reduce toil (bulk policy changes, project provisioning, baseline exceptions, report consolidation)., • Stakeholder for helping design Secure Pipelines to be implemented by the Security Engineering Enablement team Minimum Qualifications: • Bachelor's degree in a related discipline and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field, • 2 years in Application / Product security or software engineering with a strong security focus., • Hands on depth with modern SDLC/DevSecOps in cloud-native environments: microservices, APIs, containers/Kubernetes, serverless, IaC (Terraform/CloudFormation/ARM/Bicep), and CI/CD integration., • Practical expertise operating and tuning SAST, DAST, SCA, API testing, IaC/container scanners, plus CNAPP for multi cloud., • Scripting/automation proficiency (Python preferred; PowerShell/Bash nice) and REST API integration skills; able to create quick utilities and pipeline jobs to reduce manual effort., • Strong knowledge of OWASP Top 10, ASVS, SAMM, NIST SSDF, CSA CCM, secure design patterns, cryptography fundamentals, authN/Z (OAuth2/OIDC/JWT), and common web/API vulns and mitigations., • Experience triaging responsible disclosure or bug bounty reports and driving coordinated remediation with product teams., • Excellent communicator who can simplify complex risk for engineers and leaders; bias to action and measurable outcomes., • Familiarity with software supply chain security (SBOMs, signing, provenance, dependency risk) and runtime protection (RASP, WAF/WL, EDR for containers)., • Strong understanding of cloud architecture and infrastructure, • Collaborate with AI agents to build, test, and deploy software across the SDLC, by using proper contextual inputs to improve AI understanding and output quality., • Implement AI-powered features and pipelines in our software, • Contribute to prompt engineering experimentation and share tool usage insights., • Define coding standards, review practices, and ethical guidelines for AI use., • Mentor peers and coach junior team members on AI-augmented development., • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Preferred skills: • WAF engineering experience (policy design, tuning, false positive management, bot/rate limit controls, logging/observability, blue/green rollout)., • Certifications (e.g., CISSP, CSSLP, GWAPT, GCSA, GCP/AWS/Azure security) are a plus., • Experience with API security (OWASP API Top 10), Proactive Threat Response, Responsible Disclosure workflows is a plus. USD 119,600.00 - 199,400.00 per year Compensation: Compensation includes a base salary of $119,600.00 - $199,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

A Lead of Integrated Cybersecurity Architecture is responsible for evangelizing the agreed upon cybersecurity architectural principles, standards, and design patterns, and advising engineering teams on how to build secure products and enterprise tools for multi-cloud and on-premises environments. This role is focused on being an integrated member of the product and engineering teams. A separate function defines the architecture guidelines that this role is responsible for advising the teams on how to implement. By having deep cybersecurity knowledge in the design and build of secure software products and tools in both multi-cloud and on-premises environments, this role will partner with and influence direct and cross-functional teams throughout the organization and collaborate cross-functionally to solve cybersecurity risks that are unique to a business unit's risk profile and products. This role will report directly to a Director of Integrated Cybersecurity Architecture at Cox Automotive. Primary Responsibilities • Communicate cybersecurity guidelines to engineering teams and business teams and support their adoption of the guidelines., • Be integrated with and in continuous contact with engineering teams to advise on their architecture decisions and assist with cybersecurity control implementation., • Contribute to the identification and mitigation of cybersecurity risks based on threat modeling of products and enterprise tools., • Provides cybersecurity architecture advice and consultation across major program and solution levels., • Engage with cybersecurity peers to create a cohesive cybersecurity department and share back internally regarding business specific activities. Act as the on the ground cybersecurity security representative to the product and engineering teams., • Partner with enterprise architecture, infrastructure and engineering teams to review existing architecture, identify gaps and recommend security enhancements., • Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring., • Educate product and enterprise architects and engineers on cybersecurity best practices and standards., • Partner with the legal and security governance, risk and compliance teams to ensure that cybersecurity architecture enables compliance with relevant regulatory and contractual requirements. Minimum Qualifications • Bachelor's degree in a related discipline and 6 years of experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years of experience; a Ph.D. and 1 year of experience in a related field; or 10 years' experience in a related field., • At least 4 years focused on cybersecurity., • Relevant experience with designing, securing, or operating AWS infrastructure and services., • Clearly articulate the objective of specific cybersecurity policies and procedures to technical and non-technical stakeholders., • Excellent customer service skills, writing, and executive presentation skills., • Develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities' cybersecurity teams to implement cybersecurity best practices., • Consultative nature to work through controversial or complex topics to employees, leaders, and/or senior leadership., • Evaluate risks and recommend actions based on impact and likelihood of the risk to the business., • Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, containerization, DevSecOps, and software-defined networking across a variety of environments and deployments., • Creatively solving complex cybersecurity challenges while exhibiting solid, pragmatic business acumen., • Experience utilizing Agile methodologies., • Initiating change and deploying solutions in Fortune 1000 companies., • Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry relevant regulations that will guide architectural requirements (e.g., GDPR, FFIEC, GLBA)., • Collaborate with AI agents to create, validate, and assess architectural artifacts, • Lead cross-functional teams in designing AI-enhanced solutions, establish standards for AI integration, and assess AI technologies within solution architectures., • Implement AI-driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures., • Improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns., • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Preferred Qualifications • Experience in the development and design of cybersecurity standard methodologies to all layers of the hosting and application stack in both cloud and on-premises environments., • Knowledge of Identity and Access Management (IAM), cryptography / key management, secrets management, access controls and security protocols (e.g., multi-factor, SAML, OAuth, OIDC)., • Experience with application security implementations and standard methodologies., • Extensive technology knowledge and recognized expertise in several areas including Python, .NET, Java, Spring frameworks, Oracle, serverless, cloud patterns, cloud service and user authentication or similar., • Experience with firewall, web application firewalls, and other edge services as well as deep understanding of DMZ and other network architectures., • AWS Well-Architected Framework., • Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure., • A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate)., • Experience in national critical infrastructure industries (telecommunications, financial services, defense, government, etc.)., • Big four consulting or Fortune 500 company experience., • Relevant industry certification (e.g., CISSP, CEH, OSCP, Azure, AWS, CISM, CISA). USD 119,600.00 - 199,400.00 per year Compensation: Compensation includes a base salary of $119,600.00 - $199,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Job Description Primary Responsibilities • Communicate cybersecurity guidelines to engineering teams and business teams and support their adoption of the guidelines., • Be integrated with and in continuous contact with engineering teams to advise on their architecture decisions and assist with cybersecurity control implementation., • Contribute to the identification and mitigation of cybersecurity risks based on threat modeling of products and enterprise tools., • Provides cybersecurity architecture advice and consultation across major program and solution levels., • Engage with cybersecurity peers to create a cohesive cybersecurity department and share back internally regarding business specific activities. Act as the on the ground cybersecurity security representative to the product and engineering teams., • Partner with enterprise architecture, infrastructure and engineering teams to review existing architecture, identify gaps and recommend security enhancements., • Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring., • Educate product and enterprise architects and engineers on cybersecurity best practices and standards., • Partner with the legal and security governance, risk and compliance teams to ensure that cybersecurity architecture enables compliance with relevant regulatory and contractual requirements. Minimum Qualifications • Bachelor's degree in a related discipline and 6 years of experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years of experience; a Ph.D. and 1 year of experience in a related field; or 10 years' experience in a related field., • At least 4 years focused on cybersecurity., • Relevant experience with designing, securing, or operating AWS infrastructure and services., • Clearly articulate the objective of specific cybersecurity policies and procedures to technical and non-technical stakeholders., • Excellent customer service skills, writing, and executive presentation skills., • Develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities' cybersecurity teams to implement cybersecurity best practices., • Consultative nature to work through controversial or complex topics to employees, leaders, and/or senior leadership., • Evaluate risks and recommend actions based on impact and likelihood of the risk to the business., • Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, containerization, DevSecOps, and software-defined networking across a variety of environments and deployments., • Creatively solving complex cybersecurity challenges while exhibiting solid, pragmatic business acumen., • Experience utilizing Agile methodologies., • Initiating change and deploying solutions in Fortune 1000 companies., • Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry relevant regulations that will guide architectural requirements (e.g., GDPR, FFIEC, GLBA)., • Collaborate with AI agents to create, validate, and assess architectural artifacts, • Lead cross-functional teams in designing AI-enhanced solutions, establish standards for AI integration, and assess AI technologies within solution architectures., • Implement AI-driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures., • Improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns., • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Preferred Qualifications • Experience in the development and design of cybersecurity standard methodologies to all layers of the hosting and application stack in both cloud and on-premises environments., • Knowledge of Identity and Access Management (IAM), cryptography / key management, secrets management, access controls and security protocols (e.g., multi-factor, SAML, OAuth, OIDC)., • Experience with application security implementations and standard methodologies., • Extensive technology knowledge and recognized expertise in several areas including Python, .NET, Java, Spring frameworks, Oracle, serverless, cloud patterns, cloud service and user authentication or similar., • Experience with firewall, web application firewalls, and other edge services as well as deep understanding of DMZ and other network architectures., • AWS Well-Architected Framework., • Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure., • A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate)., • Experience in national critical infrastructure industries (telecommunications, financial services, defense, government, etc.)., • Big four consulting or Fortune 500 company experience., • Relevant industry certification (e.g., CISSP, CEH, OSCP, Azure, AWS, CISM, CISA). USD 119,600.00 - 199,400.00 per year Compensation: Compensation includes a base salary of $119,600.00 - $199,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

ServiceNow Administrator Career Opportunity The Enterprise Tools Administrator will oversee the configuration, administration, and support of our client's portfolio of enterprise tools with a major focus on ServiceNow. This role is crucial in ensuring that these tools are effectively integrated and utilized to enhance productivity and efficiency. ServiceNow Administrator Key Responsibilities Tool Onboarding & Configuration: Configure tools to align with agency standards, security policies, and operational requirements. Collaborate with stakeholders to ensure tools meet business needs. Administration & Maintenance: Serve as the primary administrator for enterprise tools, managing user access, permissions, and integrations. Monitor tool performance and usage, ensuring optimal functionality and uptime. Maintain documentation for configurations, processes, and best practices. Renewals & Licensing: Track license usage and renewal dates. Coordinate with procurement and vendors to manage renewals. Ensure compliance with licensing agreements and budgetary constraints. Support & Training: Provide Tier 2/3 support for enterprise tools, resolving issues and escalating when necessary. Develop and deliver training materials and sessions for end-users. Act as a liaison between users and vendors for troubleshooting and feature requests. Reporting & Analytics: Design and deliver reports and dashboards from enterprise applications. Analyze tool usage, performance metrics, and user engagement to inform decision-making. Provide insights and recommendations for tool optimization and adoption strategies. Governance & Optimization: Establish governance frameworks for tool usage and data management. Identify opportunities for tool consolidation and process improvement. Stay current with industry trends and recommend enhancements or replacements. Current Portfolio of Platforms and Tools: ServiceNow, mavQ Customer Experience Cloud, DocuSign, GitHub, SurveyMonkey, DocuWare, Google Cloud Platform, Amazon Web Services, Gearset, Filevine, OrgChart, Boomi, Flowcode, Canva, Veracode, Own Backup, Apple Developer Platform, Infragistics ServiceNow Administrator Required Qualifications Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience). 5+ years of experience administering enterprise tools including ServiceNow in a mid-to-large organization including ITSM, ITAM, ITOM, CMDB, etc. Strong understanding of SaaS platforms, identity management, and integration protocols (e.g., SSO, API). ServiceNow Administrator Desired Qualifications ServiceNow Administrator Certification Excellent problem-solving, communication, and project management skills. Ability to work independently and collaboratively across departments. Experience with ITIL or other service management frameworks. Familiarity with data privacy and security compliance standards. Knowledge of scripting or automation tools (e.g., PowerShell, Python). #RT #DICEJOBS

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. • The Mac & Mobility Engineer is responsible for delivering technical execution and lifecycle management of Apple (macOS/iOS) and Android endpoint services. This role ensures secure, reliable, and efficient operation of Mac and mobile devices by managing provisioning, patching, software deployment, compliance, and automation. The position requires deep expertise in macOS, iOS, Android, and mobile device management platforms to enhance user experience and operational efficiency., • Mac & Mobility Endpoint Services: Deliver technical execution of Mac and Mobility endpoint services, including provisioning, patching, software deployment, and compliance across Apple and Android platforms., • Provisioning & Configuration: Own and maintain provisioning and configuration processes using JAMF Pro, Intune, and Apple Business Manager, ensuring consistent deployment and lifecycle management., • MDM/MAM Administration: Administer and optimize mobile device management (MDM) and mobile application management (MAM) platforms to support compliance, security, and user experience across Mac and mobile ecosystems., • Advanced Support: Provide Tier 4 (L4) technical support for complex endpoint issues, including OS-level failures, MDM conflicts, and deployment errors., • Security & Vulnerability Management: Design and execute patching and vulnerability remediation strategies to ensure endpoint security and platform stability., • Hardware & Carrier Integration: Contribute to hardware evaluation, mobile carrier integration, and device readiness for Apple and Android platforms., • Automation & Continuous Improvement: Support engineering backlog and develop automation scripts to improve configuration, compliance, and user experience across Mac and Mobility platforms., • Collaboration: Partner with product and client experience teams to resolve issues, improve service quality, and align with roadmap priorities. Technical Expertise: • 5+ years advanced knowledge of macOS, iOS, and Android architecture, troubleshooting, and performance optimization, • 5+ years experience with JAMF Pro, Intune, and MDM/MAM platforms Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent experience Recommended Certifications: • JAMF Certified Technician or JAMF Certified Admin

Job Purpose: The Cybersecurity Sr Software Engineer helps build automated solutions around our security tools. This individual will help guide the team to contribute to these initiatives with high software quality in mind. They will also guide technical and security engineering discussions within the team, and will be seen as an authority on secure coding, secure infrastructure, and secure design best practices. They will help to imagine and shape the systems and process flows on incorporating security organically into the engineering teams' day to day workflows. This engineer will work with AWS and other cloud technologies as well as a variety of commercial and open source security products and frameworks. While this is an individual contributor role, you'll be involved in many aspects - help evolve our existing architecture, reduce complexity, work with engineering teams to improve operations, and implement and operationalization new security tooling, as needed. Beyond automation of onboarding or usage of our application security tools, we strive for continuous improvement of processes and the integration of best practices. We're looking for someone who has an interest in application security, cloud technologies and a passion to help the organization create secure-by-default world-class software. Key Responsibilities: • Reporting to the Security Engineering Director, serves as a member of the Security Engineering Enablement team, • Works with partner engineering teams to create applications and services that align to the Security Engineering's mission and goals to integrate security seamlessly into our dev teams' workflow, • Leverages technology (tools, capabilities, processes) to level up software engineering teams' secure coding practices and knowledge, • Operationalizes off the shelf application security tools to help engineering teams build, deploy and deliver secure software, • Provide situational white glove service to critical business engineering teams, • Must be able to help engineering teams fix application security defects using a variety of technology stacks, • Promotes incorporation of security processes and practices to make security an organic part of a declarative pipeline model (e.g. CICD practices), • Communicate process and tool automation improvements to the Product Owner, as opportunities and repeating concerns are observed, • Helps define the team's tasks and objectives, based on continuing analysis of service requests, • Creates automation solutions to support tool administration and operation, • Consistently exhibits a positive attitude and desire to help the team to succeed, • Design and build monitoring systems for developed automation applications and services, • Participate in On-call rotation with the team (once every 3-4 weeks), • Consistently meets or exceeds predefined support and services Service Level Objectives (SLOs), • Executes tasks with minimal supervision, • Collaborate with AI agents to build, test, and deploy software across the SDLC, by using proper contextual inputs to improve AI understanding and output quality., • Implement AI-powered features and pipelines in our software, • Contribute to prompt engineering experimentation and share tool usage insights., • Define coding standards, review practices, and ethical guidelines for AI use., • Mentor peers and coach junior team members on AI-augmented development. Essential Skills: • Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field, • Bachelor's Degree; preferably Computer Science major, Cybersecurity Software Engineering or equivalent experience, • Proven and demonstrable experience building software applications with C# and python, • Proven and demonstrable experience with front end or JavaScript frameworks such as ReactJS, • Experience designing and implementing automated solutions using Cloud native technologies, • Strong cloud infrastructure experience in AWS, • Solid understanding of DevOps - automated deployments and release orchestration, • Solid understanding of containers and microservice architecture, • An understanding of the latest cybersecurity best practices, and related security tools such as SAST, SCA, DAST, • Excellent communication, interpersonal and teamwork skills, • Strong analytical and problem-solving skills, • Excellent attention to detail, • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Desirable Skills: • Masters in Computer Science, Cybersecurity or equivalent experience, • Familiarity with Infrastructure as Code technology such as Terraform, • An understanding of deployment methodologies like Blue/Green, Canary, etc., • Familiarity with various Cloud monitoring tools (Cloudwatch, New Relic, Splunk), • Familiarity with networking and network security, • Experience with scalable networking technologies and architecture, • Familiarity with standard IT security practices such as encryption, certificates, and key management, • Working knowledge of infrastructure technologies such as OS (Linux and Windows), Network, Database, Server, Storage etc., • Comfortable with build and deploy tools, • Experience managing, building, debugging and deploying Docker containers and microservice architecture, • Experience with GenAI and Agentic architecture USD 99,000.00 - 165,000.00 per year Compensation: Compensation includes a base salary of $99,000.00 - $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. The Senior Professional, Software Engineering job designs, develops and maintains software applications and systems in smart manufacturing domain e.g Daily KPI management systems , KPI insights applications , data automation and labeling using LLM . With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members. • 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, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases., • COLLABORATION: Partners with cross functional team of product managers, designers and different 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., • CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability., • DOCUMENTATION: Builds 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. Typically reflects 5 years or more of relevant experience., • Hands-on experience with the following technologies:, • React, • Java Spring Boot, • PostgreSQL, • Python, • CI/CD pipelines, • Experience integrating data from manufacturing systems such as:, • MES, LIMS, OSI PI / Historian, • Understanding of key manufacturing KPIs, including:, • Downtime %, OEE %, Production Yield, • Familiarity with Power Platform technologies:, • Power BI, Power Apps Equal Opportunity Employer, including Disability/Vet.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Interview Type: Web Cam Interview Only Work Arrangement: Hybrid Engagement Type: Contract Short Description: The Georgia Department of Human Services (DHS), Office of Information Technology, is seeking a qualified candidate for a contractor staffing position for a Senior Java and Database Developer on Georgias Child Welfare technical team in Atlanta, Georgia. Complete Description: The suitable candidate will be a Java Developer with strong database knowledge. This role will be responsible for developing and maintaining high-quality software applications, ensuring seamless integration with various database systems. Java Responsibilities Develop and maintain Java-based applications using core Java and advanced Java (Java 17). Design and implement microservices using Spring Boot and other relevant frameworks. Build and consume RESTful APIs and web services. Integrate with databases, ensuring performance optimization (e.g., SQL databases like PostgreSQL, Oracle). Write unit and integration tests using JUnit, TestNG, Mockito, or other testing frameworks. Develop SQL queries and analyze data to support application development and production issues. Implement object-oriented design principles and patterns for scalable and maintainable codebases. Ensure adherence to clean code principles and write reusable, modular code. Troubleshoot and debug Java applications, ensuring optimal performance and security. Participate in code reviews and provide constructive feedback to peers. Follow Agile methodologies (Scrum) and participate in sprints, daily stand-ups. Use version control systems like GitHub for source code management. Implement and manage CI/CD pipelines using GitHub Actions. Collaborate with DevOps teams for cloud deployment and infrastructure management (AWS). Design, configure, and implement Spring Batch jobs for processing large datasets and scheduling tasks. Implement dynamic web pages and views using JSP (Java Server Pages). Design and implement authentication and authorization mechanisms using Key Cloak for identity and access management, ensuring secure communication through OAuth 2.0 and JWT tokens. Leverage SAML/SSO integration for single sign-on and authentication. Proficiency in Postgres, PL/SQL and Oracle database technologies. Formulating data dictionaries that are congruent with task specifications. Creating technical documents that outline the purpose, capacity, and guidelines attached to each database. Providing practical guidance on the use and migration of each database. Servicing and updating databases, as required. Database Responsibilities Development: Design and implement PL/SQL functions, procedures, and packages to meet business requirements. Triggers: Create and manage database triggers for automation of tasks and enforcement of business rules. Performance Tuning: Optimize SQL queries and PL/SQL code for performance and scalability. Database Design: Collaborate with the data modeling team to create efficient database designs. Testing: Conduct unit and integration testing of PL/SQL code to ensure reliability and accuracy. Documentation: Maintain documentation for developed code, processes, and database schemas. Collaboration: Work closely with application developers, business analysts, and other stakeholders to gather requirements and provide technical support. Troubleshooting: Diagnose and resolve database issues, including performance bottlenecks and data integrity problems. Experience and Technical Skills Required Seven (7) years of experience in Java and modern technologies. Previous experience using • Java (Java 17+) features such as records, sealed classes, switch expressions, pattern matching, and enhanced performance improvements, • Node 16+, • ServiceNow, Splunk, Dynatrace, • Spring Framework (Spring Boot, Spring MVC, Spring Data, Spring Security, Spring Batch), • Microservices Architecture (Designing, developing, and deploying microservices), • Java Server Pages (creating dynamic web pages and integrating with back-end logic), • Database Management (PostgreSQL, Oracle and experience with ORM tools like Hibernate), • RESTful Web Services (API development, consumption, and integration), • Thorough understanding of REST, SOAP, Web services and API Communication protocols S/FTP/S, HTTP/S, File I/O etc., • Testing: JUnit, TestNG, Mockito, • Version Control: GitHub, • Build Tools: Maven, NPM, • CI/CD: GitHub Actions, • Frontend Integration: Understanding of HTML, CSS, JavaScript, and Angular 17+, • Security & Identity Management: Experience with OAuth 2.0, JWT tokens, and SAML/SSO integration for authentication and authorization, • KeyCloak Integration: Integrate KeyCloak with Java-based applications and services for API authentication, • Scripting Languages: Proficiency in one or more scripting languages, such as Bash, or PowerShell, Python, • Experience with cloud-based databases (e.g., AWS RDS)., • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle)., • Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) is a plus., • Familiarity with agile methodologies.

About Collaborative Real Estate We operate at the intersection of universities, research, entrepreneurship, and corporate R&D. Our mission is to design, develop, and manage innovation districts and research parks that foster scientific breakthroughs, accelerate technology commercialization, and strengthen the collaborative innovation ecosystem. About the Role We’re looking for a curious, entrepreneurial Data Analyst who’s passionate about how research and innovation happen. You’ll initally be a department of one, building the foundation for how we collect, structure, and use data to tell the story of discovery, collaboration, and impact. Working closely with our team, you’ll: • Discover and integrate data from multiple sources (university research, licensing, etc.)., • Clean, structure, and catalog complex datasets for reuse across projects., • Develop dashboards and visualizations that help leaders and clients see patterns in research, innovation, and commercialization activity., • Build scalable tools using Python, R, SQL, or similar., • Present insights to executives, university partners, and other stakeholders. What We’re Looking For • 3–5 years of professional experience in data analytics, research intelligence, or innovation ecosystem analysis., • Strong technical skills in Python, R, SQL, or similar tools., • Ability to translate complex data into clear, actionable stories., • Collaborative mindset, with interest in working alongside university, research, and entrepreneurial leaders., • Bachelor’s degree required; Master’s in Data Science or related field preferred. If you thrive in building something new, enjoy connecting data to real-world impact, and want to help shape how innovation ecosystems are understood and supported, we’d love to speak with you. Our Commitement We are committed to maintaining a diverse workforce and an inclusive work environment. Collaborative Real Estate will not tolerate discrimination in employment, employment-related decisions, or in business dealings on the basis of race, color, ancestry, age, sex, sexual orientation, religion, disability, ethnicity, national origin, veteran status, maritalstatus, pregnancy, or any other legally protected status. We provide an environment free of discrimination to our employees, clients, and vendors.

Job Description HI, Hope you're doing well This is Pankaj from 4P Consulting please see below job description Job Title: GIS Analyst Location: Atlanta, GA (onsite) Contract: 24-Months The GIS Analyst will develop an understanding of current data state, workflows and processes and develop solutions for integrations, transformations and deliverables. This will include GIS data analysis, data mining, technical support and database maintenance to meet internal and external customers’ requirements. This role requires demonstrated ability to solve complex problems and recommend regarding the best track for data development and processing. Project work will involve process improvement, quality control, data creation from spatial and tabular sources, conversion, migration and maintenance. Required: · Experience with Esri geodatabase design, structure and management – including the manipulation of tabular data in GIS, and joining/linking related data · Intermediate knowledge of SQL and relational databases · Thorough understanding of Esri ArcGIS (including ArcCatalog, ArcToolbox, ArcMap, ArcSDE and related products) · Knowledge of batch files and Python scripts to assist in repetitive daily activities · Ability to quickly learn new skills and abilities database technologies, data modeling, and scripting as needed Preferred: · Knowledge of publishing with ArcGIS Server, ArcGIS Pro, ArcGIS Online and Portal for ArcGIS, including data versioning, multiuser and replication · Experience with Natural Gas Utility and/or working with Enterprise databases and geometric networks · Experience using Esri Data Reviewer and Workflow Manager Extensions · Experience converting data between CAD and GIS · Experience incorporating non-spatial Enterprise databases with GIS to fulfill ad hoc analysis requests · Development using Python, FME and/or Esri ModelBuilder · Strong understanding of content and document management applications Applicant may possess a combination of equivalent education and work experience. Specific Skills & Knowledge: Required: · Esri ArcGIS 10.2x – advanced proficiency · MS Office suite (Access, Excel, Word, PowerPoint, Visio) – advanced proficiency · Esri ArcGIS Enterprise – intermediate proficiency · Geometric Network – intermediate proficiency · Model Builder – intermediate proficiency · Python – intermediate proficiency · SQL RDBMS – intermediate proficiency · AutoCAD/CADD – basic proficiency · Visual Basic/VBA – basic proficiency · SharePoint – basic proficiency · Excellent verbal and written communication skills · Excellent geoprocessing and spatial analysis skills · Strong requirements review, analytical, and problem solving skills · Application testing script development and performance of testing · Ability to quickly learn and apply new technologies · Ability to function independently and as a team member · Ability to handle multiple assignments and changing priorities · Ability to work effectively with limited direct supervision Preferred: · Schneider Electric ArcFM · Current GIS industry trends (remote sensing, GPS technology, etc.) – intermediate understanding · FME, Data Interoperability– intermediate proficiency · Utility Pipeline Data Model (UPDM) – basic understanding MAJOR JOB RESPONSIBILITIES: Specify major duties performed by the job and % of time spent on duties. • Technical project tasks, including database design, advanced GIS analysis and modeling, • Performs data mining activities to meet customer requirements/specifications, • Provides specialized queries, maps and reports to meet customer requirements/specifications, • Performs application testing and documentation of defects, • Interfaces with Information Services (IS) GIS Support group; represents users' issues, • Interfaces with users; documents requested/needed changes, • Performs weekly analysis on mission critical GIS data to audit and sustain data integrity, • Develop methods and perform quality assurance/quality control on GIS and non-spatial data to meet quality goals, • Serves as Subject Matter Expert on GIS projects and solution definition workshops, • Identifies training requirements; creates and maintains training and procedural documentation, • Identifies new GIS technologies/processes/applications to improve inter-/intra- departmental functions, • Uses and creates automated processes using Model Builder/Python scripting or other tools, • Processes, prepares and converts data to enter into GIS from a variety of data formats, • Analyzes current business processes and recommends best practice solutions Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra +1 205-756-4834

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Role: Technical Program Manager Location: Alpharetta, GA(REMOTE – But locals preferred) Type: Direct Hire Interview : Video+ In-Person Active Security Clearance – Required. Travel Requirements: Up to 25%. Travel Locations: (Washington, DC / New York / Austin, TX / Seattle, WA / San Diego, CA) Technical Program Management Background: Candidates should have a well-rounded background in program management, specifically in software or infrastructure/network management. Job Description We are seeking a dedicated Technical Program Manager to join our team. This individual will play a crucial role in managing and executing our innovative data management software platform. The ideal candidate should possess strong technical acumen, exceptional communication skills. Preferred Qualifications Experience in managing data software programs and flexible data management platforms. Familiarity with the following technologies: • Web Content Management: Umbraco CM, • Source Code Management: GitLab, JFrog, • Programming Languages: CSS, Go (Golang), Java, JavaScript, Jython, PHP, Python, SQL, TypeScript, • Other Software: Scala, Cloudflare, Selenium, • PMP certification – Good to have

Role: AI/ML Engineer Location: Atlanta, GA or NYC, NY Fulltime Job Description: • 7+ years hands-on experience with ML Model Development and Deployment using Python, • Hand on experience in Tensorflow or Pytorch, • Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline, • REST API Integration for ML Models, • Hands on Experience with Data Preprocessing(Pandas, Numfy, etc), • Understanding of ML Algorithms Preferred Skills: • Experience with NLP/Deep Learning Experience is plus, • Exposure with Transformers, LLM's, • Cloud ML Platforms(Azure AI, AWS SageMaker), • Experience with SQL /No SQL DB

Location: Hybrid / Atlanta, GA Experience Level: Entry-level (Master’s required) Education: Master’s in computer science, Software Engineering, or related field About Assistly Assistly is on a mission to simplify and transform senior care operations through AI-powered automation, predictive insights, and intuitive digital workflows. Our platform helps small to mid-sized senior care facilities streamline communication, compliance, and daily operations, allowing caregivers to focus on what truly matters: care. Role Summary As a Full Stack Engineer, you’ll work across the entire product stack, building engaging user interfaces, designing scalable back-end systems, and enabling seamless data flows that bring Assistly’s AI-powered tools to life. Key Responsibilities • Develop and maintain web application features across front-end and back-end., • Collaborate with design, product, and AI teams to translate concepts into functional, efficient code., • Build APIs and services that power data exchange and user interactions., • Implement and maintain scalable database structures (SQL/NoSQL)., • Ensure application performance, reliability, and responsiveness., • Participate in code reviews, testing, and documentation to maintain high development standards. Qualifications • Master’s in computer science, Software Engineering, or related discipline., • Strong programming skills in Python, JavaScript/TypeScript., • Experience with front-end frameworks (React, Angular, or Vue) and back-end frameworks (Django, Node.js, or Spring Boot)., • Understanding of RESTful APIs, databases, and cloud infrastructure (AWS/Azure/GCP)., • Excellent problem-solving and communication skills.

Individual Contractors (W2/1099) are encouraged to apply. Visa sponsorship is not available for this role at this time Role Summary An Azure Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure within an organization. They collaborate with both business and IT teams to understand stakeholders’ needs and unlock the full potential of data. They create conceptual and logical data models, analyze structural requirements, and ensure efficient database solutions. Must Have Skills: • Experience of Migrating from other platform to Databricks, • Proficiency in Databricks and Azure Cloud, Databricks Asset Bundles, Hoslistic vision on the Data Strategy., • Proficiency in Data Streaming and Data Modeling, • Experience in architecting at least two large-scale big data projects, • Strong understanding of data scaling and its complexities, • Data Archiving and Purging mechanisms. Job Requirements • Degree in computer science or equivalent preferred, • Demonstrable experience in architecture, design, implementation, and/or support of highly distributed applications with Azure cloud and Databricks., • 10+ Years of Hands-on experience with data modelling, database design, data mining, and segmentation techniques., • Working knowledge and experience with "Cloud Architectures" (e.g., SaaS, PaaS, IaaS) and the ability to address the unique security considerations of secure Cloud computing, • Should have architected solutions for Cloud environments such as Microsoft Azure and/or GCP, • Experience with debugging and performance tuning in distributed environments, • Strong analytical skills with the ability to collect, organize, analyse, and broadcast significant amounts of information with attention to detail and accuracy, • Experience dealing with structured, unstructured data., • Must have Python, PySpark experience., • Experience in ML or/and graph analysis is a plus

Job Title: Sr. Full Stack Developer Location: Atlanta, GA 30354 Duration: 12+ Months Local Candidate only In person interview is must Looking for overall 15+ years of experience Qualifications: TOP SKILLSETS: -Must have Cloud Computing : AWS, AI/ML Languages: Full Stack Java, Typescript, Python API & Frameworks : Spring Boot, Angular, Quarkus, Restful APIs, Hibernate, Microservices Databases - IBM DB2, PostgreSQL, MongoDB, Oracle PaaS - Docker, Kubernetes, OpenShift, Rosa WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS) • Good verbal and Written communication skills., • Experience working with multiple disparate systems., • Experience in Cloud Technologies (AWS / Azure / Google). AWS is must have., • Proficiency with Python, Java, shell scripting (Bash and PowerShell) & SQL, • Experience working with streaming data and data extraction from different databases (Oracle, DB2, MySQL etc.), • Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenShift, • Experience with scalable data extraction tools is a plus, • Experience working with Kafka, Aurora, AWS Glue, Redshift is a plus, • Understanding of data engineering, real time streaming and/or eventing, and Json parsing, • Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible etc.), • Experience building micro services and API architecture, • Debugging & troubleshooting skills, • Must be flexible and have a passion to learn and collaborate with colleagues, • Must have strong oral and written communication skills, • Business Intelligence/Analytics experience a plus, • Embraces diverse people, thinking and styles., • Consistently makes safety and security, of self and others, the priority. WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS) • Degree in Information Systems, Computer Science or equivalent experience, • Airline Industry experience is a plus Responsibilities: • Develop solid and supportable modular designs for data streaming, Cloud transformation/migration, and API product development in support of critical applications, • Develop data APIs and data delivery services that support operational and analytical applications for internal business operations, customers and partners, • Creation and support of data-centric products that encompass multiple specializations, platforms, and technologies, • Analyze technical information and produce quality software, • Initiate collaboration with teammates, • Offer creative solutions to overcome obstacles, • Work within automated testing and CICD processes, • Be an expert on the products we built, • Document solutions in written and diagram form, and communicate across teams, • Leverage developer coding standards to ensure it meets design goals and business needs, • Identify technical issues, articulate impact and need for prioritization, • Proactive communication to both team and leadership

Job Title: Technical Program Manager Employment Type: Direct Location: Atlanta, GA (Remote options available) Status: Active Salary Range: $150,000 Job Description We are seeking a dedicated Technical Program Manager to join our dynamic team. This individual will play a crucial role in managing and executing our innovative data management software platform. The ideal candidate should possess strong technical acumen, exceptional communication skills, and a commitment to delivering successful projects. Must-Have Qualifications: • U.S. Citizenship: Required to access CodeMettle systems., • Active Secret Clearance: Mandatory for the position., • Travel Availability: Must be willing to travel up to 25% of the time., • Travel Locations:, • Washington, D.C, • San Diego, CA, • Austin, TX, • Seattle, WA, • New York, NY, • Communication Skills: Excellent written and verbal communication skills are essential. Preferred Qualifications: • Experience in managing data software programs and flexible data management platforms., • Familiarity with the following technologies:, • Web Content Management: Umbraco CM, • Source Code Management: GitLab, JFrog, • Programming Languages: CSS, Go (Golang), Java, JavaScript, Jython, PHP, Python, SQL, TypeScript, • Other Software: Scala, Cloudflare, Selenium, • First Round: A 30-minute video call with Chuck, VP of Operations., • Second Round: 1 to 1.5-hour interview with the Program Management team, including 2 Senior Program Managers, 1 Director of Programs, and 1 Director of Engineering., • Remote vs. Hybrid: While the job description states a hybrid role in Atlanta, remote options are available. Candidates from the Atlanta area are preferred, and travel will still be required at 25%., • Onsite Days: Travel requirement of 25% applies, even for remote hires., • Bonus Structure: This position is eligible for an annual bonus of up to $10,000, contingent upon personal and company performance., • Hiring Timeline: We aim to keep the hiring process streamlined, typically requiring no more than 3 interviews. If the final interview goes smoothly, an offer can be extended within 24-48 hours.

Our technology organization is transforming how we work at WestRock. We align with our businesses to deliver innovative solutions that: • Address specific business challenges, integrate processes, and create great experiences, • Connect our work to shared goals that propel WestRock forward in the Digital Age, • Imagine how technology can advance the way we work by using disruptive technology We are looking for forward thinking technologists that can accelerate our focus areas such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology. As a Lead Data Engineer, you will play a pivotal role in building and scaling modern data infrastructure that powers decision-making across production, supply chain, and operations. Helps to define and analyze business requirements for Enterprise scale reports. Analyzes and evaluates business use cases for data engineering problems and helps design and develop processing solutions with ETL Cloud based technologies. How you will impact WestRock: • Architect and implement scalable data pipelines using Palantir Foundry (pipelines, workshops, ontology) to unify and transform operational data., • Design and develop robust data workflows using Python, Apache Airflow, and Apache Spark to support real-time and batch processing needs., • Build and deploy solutions on cloud platforms (AWS or Azure), ensuring high availability, security, and performance., • Collaborate with data scientists, analysts, and operations teams to deliver actionable insights and operational tooling., • Define and enforce data engineering best practices, including CI/CD automation, version control (Git), and testing strategies., • Mentor junior developers, conduct code reviews, and help shape the technical roadmap for the data platform. What you need to succeed: • Education: Bachelor’s degree in computer science or similar, • At least 6 years of strong Data Engineering experience, • Hands-on experience with Palantir Foundry, including pipelines, ontology modeling, and workshop development., • Strong programming skills in Python or Java, with experience building and maintaining production-grade data pipelines., • Proficiency in Apache Airflow and Apache Spark for workflow orchestration and large-scale data processing., • Proven experience deploying data solutions on AWS or Azure, with strong understanding of cloud-native services., • Familiarity with Git for version control and CI/CD pipelines for automated testing and deployment., • Demonstrated ability to mentor junior engineers, lead projects, and work independently in a fast-paced environment., • Good communication skills, with the ability to collaborate effectively across technical and non-technical teams., • Good analytical and troubleshooting abilities. What we offer: • Corporate culture based on integrity, respect, accountability and excellence, • Comprehensive training with numerous learning and development opportunities, • An attractive salary reflecting skills, competencies and potential, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

Trilliant offers a universal communications platform that is at the convergence of the smart grid, smart city, and global Industrial Internet of Things (IIoT) applications. We bring together multi-technology solutions, global capabilities, and mission-critical communications to deliver future-proof solutions. We are a device-agnostic, integrated, multi-technology communication platform that provides flexibility to balance technological capabilities with economic needs. Trilliant is committed to best-in-class solutions that empower our customers and their customers to connect to the world of things. We are an equal-opportunity employer offering comprehensive benefits and compensation packages with a selection of insurance programs. We have dynamic and collaborative work environments with some of the brightest employees in the world. We invest in people and provide opportunities for our employees to grow hand in hand with our business. Job Description: We’re seeking an Entry Firmware Developer to support development, monitoring, and device integration tasks across our technical operations. This role is ideal for someone with a working knowledge of C#, a curiosity for system telemetry, and hands-on experience with Raspberry Pi or similar platforms. You’ll contribute to internal tools, dashboards, and automation workflows that enhance visibility and control across our infrastructure. This position will report to the Director of Engineering. Position Responsibilities: • Assist in developing and maintaining internal applications using C#, • Support the creation and refinement of Grafana dashboards for system monitoring and performance analysis, • Configure and troubleshoot Raspberry Pi devices used in production or testing environments, • Collaborate with senior developers and operations staff to implement features and resolve issues, • Document technical processes, configurations, and code for future reference, • Participate in sprint planning, code reviews, and team retrospectives, • Monitor system health and respond to alerts using Grafana and related tools Position Requirements: • Basic proficiency in C# and object-oriented programming, • Familiarity with Raspberry Pi setup, GPIO, and basic Linux commands, • Strong problem-solving skills and attention to detail, • Ability to work independently and communicate effectively in a team setting, • Experience with Grafana or other monitoring/visualization platforms, • Experience with SQL, • Familiarity with shell scripting or Python for device automation, • Interest in embedded systems, IoT, or telemetry workflows, • Eager to learn and grow in a technical environment, • Clear communicator with a collaborative mindset, • Comfortable asking questions and iterating feedback, • Organized and proactive in managing tasks and priorities Education/Certification: • Bachelor’s degree in Computer Science, Engineering, or a related technical field Trilliant Values: PASSIONATE-We find the right solutions for customers and exceed their expectations. ACCOUNTABLE-We work smartly and tackle problems with urgency to get the job done. CONFIDENT We look to the future and partner with each other to deliver world-class solutions. ENERGIZED-We are excited and support the growth and direction of Trilliant.

We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy autonomous AI agents and workflows within the Google Cloud Platform (GCP) ecosystem. The ideal candidate will have hands-on expertise in building multi-agent AI systems, integrating LLMs (such as Gemini, GPT, or Claude), and orchestrating intelligent pipelines that leverage GCP services for scalability, observability, and security. This role requires a deep understanding of AI architecture, vector search, orchestration frameworks, and event-driven cloud systems. You will collaborate with data engineers, MLOps teams, and solution architects to deliver real-world AI capabilities that adapt, reason, and act autonomously. Key Responsibilities Agentic AI & LLM Integration • Design and implement autonomous AI agents capable of reasoning, planning, and executing workflows using LLMs (Gemini, GPT, Claude, etc.)., • Implement multi-agent coordination frameworks (e.g., LangChain, CrewAI, AutoGen, or Semantic Kernel)., • Build adaptive memory systems and contextual knowledge retrieval pipelines using Vertex AI, BigQuery, and GCP Vector Search., • Develop and deploy AI workloads in GCP leveraging:, • Vertex AI, Pub/Sub, Cloud Run, Cloud Functions, and BigQuery., • GCS for storage and Cloud Composer (Airflow) for orchestration., • Build containerized microservices (Docker / Kubernetes / GKE) for scalable AI workflows., • Architect retrieval-augmented generation (RAG) pipelines using GCP Vector Search, Pinecone, or Weaviate., • Connect unstructured and structured data sources to LLMs using Dataform, BigQuery, and Vertex AI Matching Engine., • Enforce IAM, service accounts, and least-privilege policies across agent workflows., • Integrate Cloud Logging, Cloud Monitoring, and Dynatrace (if applicable) for full observability of agent actions., • Partner with product, ML, and software teams to define use cases for agentic automation., • Continuously evaluate emerging frameworks for multi-agent systems and adaptive reasoning., • Contribute to architectural roadmaps, PoCs, and AI innovation initiatives within the organization. Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field., • 5+ years of experience in cloud-based development (GCP preferred)., • 3+ years of experience with LLM-based applications (LangChain, LlamaIndex, or OpenAI APIs)., • Strong programming skills in Python, Go, or Node.js., • Experience with RAG, vector databases, and agent orchestration frameworks., • Familiarity with Vertex AI, GKE, Pub/Sub, BigQuery, and Cloud Functions., • Solid understanding of MLOps, microservices, and event-driven design. Preferred Skills • Experience with Google Gemini API or other advanced foundation models., • Knowledge of Autonomous AI frameworks (e.g., AutoGPT, BabyAGI, CrewAI)., • Exposure to LangGraph or Semantic Kernel for graph-based agent design., • Experience integrating AI observability tools (Weights & Biases, Arize AI, or Vertex AI Model Monitoring)., • Understanding of RAG governance, compliance, and cost optimization strategies.

Job Title: SRE Architect Location: Atlanta GA Work Mode: Hybrid Role Summary: As an SRE Architect, you will be a pivotal technical leader responsible for designing, building, and evolving the foundational systems and practices that ensure the reliability, scalability, performance, and efficiency of our critical services. Moving beyond day-to-day operations, you will focus on the strategic architectural direction of SRE function, defining standards, blueprints, and frameworks that enable development teams and fellow SRE operations team to build and operate highly resilient systems. Leverage deep expertise in software engineering, distributed systems, cloud infrastructure, and SRE principles to influence technology choices, establish best practices, and foster a proactive culture of reliability across the organization and much beyond observability pillar. Key Responsibilities: • Reliability Strategy & Design:, • Architect and design highly available, scalable, secure, and cost-effective infrastructure and application patterns on AWS, • Define and evangelize SRE best practices, standards, and blueprints for service design, deployment, monitoring, and operational readiness across the engineering organization, • Review current observability implementation to identify gaps and define steps to reach next level maturity of observability setup to provide deep insights into system health and behaviour, • With overall maturity lead the definition and implementation strategy for Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets for critical services, • Platform Architecture & Automation:, • Design solutions to systematically reduce operational toil through automation and improved system design, • Evaluate current SRE tools and automation frameworks (e.g., CI/CD pipelines, Infrastructure as Code modules, automated incident remediation, chaos engineering platforms) and suggest enhancement that will help overall enhancement of capability, • Evaluate, prototype, and recommend new technologies, tools, and methodologies to enhance system reliability, developer productivity, and operational efficiency, • Technical Leadership & Consultation:, • Act as a senior technical advisor and subject matter expert on reliability, scalability, and performance for development and platform teams, • Provide architectural guidance during the design phase of new services and features to ensure reliability principles are embedded early (shift-left), • Mentor and coach other SREs and engineers, fostering technical excellence and adherence to SRE principles, • Lead architectural reviews and production readiness assessments for critical systems, • Resilience:, • Lead blameless postmortems for significant incidents, ensuring root causes are identified and systemic architectural improvements are prioritized and implemented, • Architect and advocate for resilience patterns (e.g., circuit breaking, rate limiting, graceful degradation, chaos engineering) within applications and infrastructure Required Qualifications: • Proven experience in an architectural role, designing solutions for reliability, scalability, and performance, • Deep understanding and practical application of SRE principles (SLIs/SLOs, error budgets, toil reduction, automation, incident management, postmortems), • Expertise in cloud computing platforms (e.g., AWS) including infrastructure, networking, and security services, • Strong experience with containerization and orchestration technologies (Kubernetes, Docker, serverless computing), • Solid experience designing and implementing observability solutions (e.g., Dynatrace, Prometheus, Grafana, ELK/EFK Stack, Jaeger, OpenTelemetry), • Strong programming/scripting skills (e.g., Python, Go, Bash) for automation and tool development, • Excellent analytical, problem-solving, and strategic thinking skills., • Strong communication, collaboration, and leadership skills with the ability to influence technical direction across teams Preferred Qualifications: • Experience designing and implementing chaos engineering practices and platforms

Location: Hybrid / Atlanta, GA Experience Level: Entry-level (Master’s preferred) About OrcaWorks AI OrcaWorks AI is pioneering applied AI systems designed for real-world business intelligence and automation. We’re hiring AI/ML Engineers eager to innovate and shape the next generation of machine learning and LLM-integrated applications. Key Responsibilities • Build, train, and deploy machine learning models for predictive and generative AI applications., • Collaborate with cross-functional teams to design applied AI solutions aligned with business use cases., • Implement model monitoring, retraining, and optimization pipelines using Prefect, Airbyte, and MLflow., • Integrate LLMs and embeddings into production systems via RAG pipelines and agent frameworks., • Document findings, model versions, and evaluation results. Required Skills & Qualifications • Master’s degree (or Bachelor’s with equivalent experience) in AI, ML, or Data Science., • Proficiency in Python and libraries such as Scikit-learn, TensorFlow, PyTorch., • Familiarity with MLflow, Docker, Kubeflow, and Vespa/ElasticSearch for search integration., • Understanding of applied AI architecture and hybrid workflows involving structured and unstructured data., • Analytical mindset and eagerness to solve real-world AI challenges.

Seeking a Principal Network Engineer with strong hands-on experience designing, installing, configuring, and troubleshooting enterprise WAN/LAN, wireless, security and datacenter infrastructure across large multi-site environments. Must have proven ability to act as the primary technical point of contact for North/South America or similar regional coverage, supporting thousands of users across offices, plants, and datacenters. Needs deep security/firewall experience (Checkpoint required; Palo Alto/Fortinet nice-to-have), strong LAN/WAN routing (BGP/OSPF/EIGRP), and high competence with wireless (Cisco/Aruba), NAC/ISE, and enterprise change/incident management. Must be comfortable leading architecture design, delivering solutions aligned to business needs, and providing expert on-call escalation support. Key Responsibilities: Design, install, configure & troubleshoot core/distribution/access network infrastructure across 75+ sites Serve as primary technical POC for the Americas region Manage & liaise with cross-functional teams to resolve complex issues Create & maintain network security policies and protocols Architect and plan network solutions for enterprise applications, plants &datacenters Deliver on-call escalation support for critical production outages Perform capacity planning, network analysis, and documentation (Visio, reports,diagrams) Execute structured change management and update design documentation Automate provisioning where possible (Python/Ansible nice-to-have) Support wireless, LAN, WAN, VPN, firewall, & routing across enterprise systems Required Skills: Checkpoint Firewalls (critical need) Cisco routing/switching (BGP, OSPF, EIGRP), WAN/MPLS, SD-WAN Wireless: Cisco/Aruba (WLC, FlexConnect, 802.11) LAN technologies: VLANs, STP, HSRP/VRRP, segmentation Security: ASA, Palo Alto, NAC/ISE, VPN (DMVPN/IPSec) Enterprise datacenter experience (Cisco Nexus preferred)

Meraki engineer Location: Atlanta, GA-HYBRID(2 days in office) Contract: initial 1 year contract with likely extension to 1-5 years **NO THIRD PARTY RECRUITERS, PLEASE"" TekStream Solutions is hiring a Network engineer with Meraki experience for a contract role in the Atlanta area to help us at one of our top clients. This is an initial 1-year contract with a preference of coming into the office 2 days a week in the Atlanta area. TekStream Solutions key partnerships with AWS, Splunk and Oracle have led to the building of unique solutions for clients as well as recognition the past 7 years on the Inc. 5000 fast growing companies. Please review some of the skill-sets below and send us a note if you are interested in discussing. Although primarily hiring for full-time roles, we are considering consultants / contract relationships for certain roles. Meraki Engineer • Strong Experience with Meraki Dashboard API, • Add new organizations, admins, networks, devices, VLANs, Service Set Identifiers (SSIDs), • Provision thousands of new sites in minutes with an automation script-Python experience, • Automatically onboard and off-board new employees' teleworker device(s) Multiyear experience in Meraki Configurations • Hands on experience with Meraki in configuring, managing, and monitoring, • Wi-Fi access points,, • Switches,, • Security appliance,, • Network attached devices You’ll thrive in this role if you’re proactive about troubleshooting, comfortable working across multiple Meraki organizations, and communicate clearly with both technical and non-technical teams.

Location: Hybrid / Atlanta, GA Experience Level: Entry-level (Master’s preferred) About OrcaWorks AI At OrcaWorks AI, we specialize in the design and deployment of applied AI and LLM solutions that transform how businesses operate. We’re seeking LLM Engineers excited to integrate intelligent models into production systems, experiment with context workflows, and enable next-gen automation. Key Responsibilities • Develop, fine-tune (lightweight), and evaluate LLMs for business and workflow automation use cases., • Implement prompt engineering, retrieval-augmented generation (RAG), and context-aware AI pipelines., • Integrate with agent frameworks (AutoGen, LangChain, CrewAI) and collaborate with backend teams on FastAPI-based services., • Conduct model performance analysis, error tracking, and iterative improvements., • Explore and operationalize open-source models (Llama, GPT, Mistral) in production environments. Required Skills & Qualifications • Master’s degree (or Bachelor’s with equivalent experience) in AI, Computer Science, or ML., • Strong grasp of transformer architectures, embeddings, and NLP concepts., • Hands-on experience with Hugging Face Transformers, LangChain, and vector databases (Vespa, Pinecone, FAISS)., • Familiarity with FastAPI, SQLModel, and MLOps tools for deployment., • Programming experience in Python (PyTorch/TensorFlow)., • Curiosity and drive to explore applied generative AI and orchestration workflows.

Location: Hybrid / Atlanta, GA Experience Level: Entry-level (Master’s required) About OrcaWorks AI OrcaWorks AI is transforming higher education with AI-powered solutions that enhance student engagement, optimize campus operations, and enable data-driven decision-making. Our platform leverages cutting-edge AI and analytics to help colleges deliver personalized learning experiences and improve institutional outcomes. Role Summary As a Full Stack Engineer, you will work across the entire application stack, developing both front-end and back-end systems. You will help implement new features, integrate AI capabilities, and ensure the platform is secure, scalable, and user-friendly. This role is perfect for a junior engineer passionate about building impactful, end-to-end solutions in the edtech space. Key Responsibilities • Build and maintain front-end components using modern frameworks (React, Angular, Vue)., • Develop and maintain back-end services and APIs using Python, Node.js, or Java., • Design and optimize database schemas and manage data flows (SQL/NoSQL)., • Collaborate with product, design, and AI teams to translate requirements into scalable solutions., • Ensure responsive, accessible, and high-performance web applications., • Implement testing, documentation, and participate in code reviews to maintain quality., • Support deployment, monitoring, and performance optimization of platform services. Required Skills & Qualifications • Master’s degree in computer science, Software Engineering, or related field., • Proficiency in JavaScript/TypeScript and front-end frameworks (React, Angular, Vue)., • Experience with back-end development in Python, Node.js, or Java., • Knowledge of REST APIs, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, GCP)., • Strong problem-solving skills and ability to collaborate in a fast-paced team environment.

Location: Hybrid / Atlanta, GA Experience Level: Entry-level (Master’s preferred) About OrcaWorks AI OrcaWorks AI is an innovation-first company developing scalable AI systems that combine intelligence, automation, and human-like reasoning. We’re looking for a Python Developer to join our fast-paced team working on backend and platform services powering our AI and data infrastructure. Key Responsibilities • Develop, test, and deploy backend services and APIs built with FastAPI and SQLModel that integrate with AI and data systems., • Write clean, modular, and reusable Python code following best practices from frameworks like Django REST Framework (DRF)., • Collaborate with data engineers and AI researchers to build scalable tools and components supporting applied AI use cases., • Optimize codebases for performance, reliability, and maintainability., • Participate in agile development cycles including code reviews and sprints. Required Skills & Qualifications • Master’s degree (or Bachelor’s with equivalent experience) in Computer Science or Software Engineering., • Strong command of Python and backend frameworks (FastAPI, Django, Flask)., • Experience building REST APIs, microservices, and integrating LLM-based tools., • Familiarity with SQLModel, PostgreSQL, and version control (Git)., • Exposure to agent frameworks (e.g., AutoGen, CrewAI, LangChain) and interest in applied AI development., • Enthusiasm for building robust and maintainable services that power AI systems.

Senior Software Engineer – Integrations & Platforms Location: Atlanta, GA (Hybrid, 3 days onsite) We’re looking for a Senior Software Engineer to lead integrations across multiple systems in a fast-paced, growing tech team. This role is hands-on and collaborative—you’ll design, build, and maintain integrations that help the business run smoothly while driving innovation. What You’ll Do: • Lead the design, development, and deployment of APIs, microservices, and system integrations., • Collaborate with U.S. and international teams to define requirements and build solutions., • Troubleshoot and resolve integration issues to keep systems running reliably., • Mentor junior engineers and contribute to best practices across the team., • Strong programming experience in Go or Python., • Experience with APIs, microservices, and containerized environments (Kubernetes)., • Familiarity with SOA, integration patterns, event-driven architecture, and API management platforms., • Experience with cloud-native integrations and serverless computing (AWS Lambda, Azure Functions)., • Experience with streaming platforms (Kafka, Kinesis, NATS) or industrial protocols (Modbus, MQTT, OPC-UA)., • Background with security standards (SAML, OAuth, OpenID Connect)., • Familiarity with CI/CD and DevOps practices. Why You’ll Love This Role: You’ll work on meaningful projects that impact multiple business areas, collaborate with talented teams, and grow your skills while making a real difference. Hybrid flexibility, challenging work, and the chance to innovate make this a role where you can truly shine.

Title: Sr. Electrical Systems Engineer (Camera/Vision) Location: Atlanta, GA 30308 (Hybrid 3x/Week onsite) Contract: C2H – Contract to Hire. Industry: Rail Transportation (R&D division) Travel: 35% (field deployments and diagnostics) About the Team: Join the Research & Development division of our client, where they focus on applied research and emerging technologies, including IoT, Machine Vision, Drones, and Robotics. Their team is dedicated to creating intelligent systems that improve safety, efficiency, and automation across rail operations. Position Overview: • We are seeking an Electrical Systems Engineer to support the deployment of cutting-edge machine vision inspection portals. These systems capture high-speed images of passing trains from multiple angles and use AI-driven analytics to identify mechanical defects., • This role includes hands-on work outdoors, systems integration, and field diagnostics. Candidates with strong electronics or embedded systems experience—especially in field-based environments—are strongly encouraged to apply. Key Responsibilities: • Deploy, integrate, and maintain machine vision inspection portal systems along rail corridors., • Perform onsite troubleshooting, diagnostics, and hardware/software integration., • Support field installation efforts, including configuration of electrical and embedded systems., • Conduct circuit analysis, signal cleaning, and noise mitigation for high-speed imaging hardware., • Work with cross-functional R&D teams to refine system performance and reliability., • Travel to field sites and operational locations (~35%) to support installations and upgrades., • Operate in outdoor environments and remote field conditions as required., • Preferred Background & Qualifications Experience: • Field experience in electronics or embedded systems is highly preferred., • Ideal candidates may come from industries such as utilities, military, telecom, or mobile device companies. Education: • Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechatronics, Robotics, or a related discipline required., • Master’s degree preferred; Georgia Tech alumni strongly encouraged to apply. Technical Skills: • Strong foundation in hardware design, analysis, and troubleshooting., • Experience with systems integration across hardware, firmware, and software components., • Knowledge of PCB design, circuit analysis, and electrical noise mitigation., • Exposure to embedded systems, IoT devices, and/or microcontrollers., • Experience with machine vision or imaging systems a plus (not required)., • Familiarity with camera systems or camera hardware is a bonus. Software/Programming: • Programming skills relevant to embedded and integrated systems (e.g., C++ or Python). Work Environment & Schedule: • Hybrid work model: 3 days per week onsite in the Atlanta office or lab when not traveling., • Candidates must reside in, or be willing to work within, Eastern or Central time zones., • Non-local candidates open to relocation are welcome; immediate relocation is not required. Ideal Candidate Traits: • Naturally curious and eager to explore emerging technologies., • Comfortable working both independently and in interdisciplinary engineering teams., • Strong problem-solving skills with a hands-on approach to fieldwork., • If you’re excited about contributing to advanced machine vision systems and working at the forefront of transportation technology, we’d love to hear from you! Summary: • The Sr. Electrical Systems Engineer will deploy, integrate, and maintain AI-driven machine vision inspection portals for rail transportation, performing onsite diagnostics, electrical and embedded systems configuration, and circuit analysis to ensure high-speed imaging reliability. The role requires approximately 35% travel and outdoor fieldwork, collaborating with R&D teams to enhance system performance., • Candidates must hold a bachelor’s degree in Electrical, Computer, Mechatronics, or Robotics Engineering (master’s preferred) and have strong experience in electronics or embedded systems, ideally from utilities, military, telecom, or mobile device industries. Required technical skills include hardware design, PCB and circuit analysis, noise mitigation, and systems integration across hardware, firmware, and software; proficiency in C++ or Python for embedded applications is essential., • Experience with IoT, microcontrollers, or machine vision systems is advantageous. The position follows a hybrid schedule (3 days onsite in Atlanta) and requires residence in or willingness to work within the Eastern or Central U.S. time zones.

The Senior Systems Engineer is responsible for maintaining a functioning, secure, and efficient ecosystem for the end user’s and server computing needs. The Senior Systems Engineer will develop software deployment packages, develop software patching plans and perform needed testing to determining stability and security prior to any deployments. The Senior Systems Engineer will act at an escalation point for the Support Operation Center (SOC) technicians and be responsible for engaging vendors when incidents cannot be resolved through internal controls. This position will also function as Citrix subject matter expert. The Senior Systems Engineer shall be responsible for maintaining server and virtual desktop deployment, images, and will be responsible for aspects of hardware/software vendor relationships. This position will support core Infrastructure solutions, including virtualization, directory services and core Microsoft backend products. Essential Functions, Duties, and Responsibilities: Perform installation, configuration, migration, and maintenance of assigned technology. Manage backend system/application environment and ongoing operations. Troubleshoot software and/or hardware issues/failures and resolves alerts and performs remediation activities. Determine migration and upgrade impacts and diagnose/resolve complex technology/application errors. Assess software patches and create recommended patch list in compliance with standards. Ensure that all clients and servers have the latest first- and third-party security and critical patches and hotfixes. Develop and optimize pre- and post-patching process to ensure proper implementation without any outages. Test patches in a non-production environment and avoid business outages based on the lab results. Automate IT processes utilizing modern scripting languages and other automation tools. Develop processes and procedures related to systems/application administration. Create new and update existing OS images for systems. Resolve tickets escalated by the support operation center and classifying cases according to their priority. Under direction of the architects, monitor relevant IT facilities, services, and systems as needed to maintain 7x24 service operation uptime. Build software deployment packages and maintain endpoint and server environment and processes. Maintain the Configuration Item database within the service management platform and generate accurate system baselines. Implement, operate, and support endpoint management systems for system builds, software deployment, inventory management, endpoint protection and encryption. Ensure all clients receive latest definitions and investigate all breaches. Manage and monitor Citrix system and its technologies, offering solutions to problems. Support and preserve the Virtual Desktop setup, which includes AppSense, XenDesktop, XenApp, etc. Design and implement platform security. Provide technical assistance for all the servers, desktops, and services that apply to the business. Take full control and accountability for applying, implementing, maintaining, and examining the documentation of the Virtual Desktop Infrastructure. Perform after hours activities as needed. Assist in the process for vulnerability management, ensuring that all the risks have been remediated for supporting technologies. Required Knowledge, Skills and Competencies: Must have excellent competency with patch management and other patching tools, as well as a solid understanding of industry best practices for patch management. Proficiency in scripting of packaged installation of patches, software and configuration changes. Knowledgeable of programming languages (JavaScript, PowerShell, Python, XML, and .Net). Exceptional knowledge of current Microsoft Server operating systems and as a MS365 enterprise administrator. Able to create deployment patches and package using configuration management tools like Tanium. Ability to self-manage and prioritize multiple projects with aggressive due dates. Understanding of network, system and application security. Knowledgeable of ITIL v3 framework preferred. Understanding of Internet/IP related technologies including, but not limited to, routing, switching and sub-netting preferred. Comprehensive knowledge of storage concepts and skills with various shared storage technologies (provisioning LUN's, expanding volumes, configuring RAID, replication, snapshot), utilizing EMC Unity, Pure Storage and Cohesity backup strategy and replication preferred. Proficiency in Microsoft Active Directory, DNS, DHCP, and PKI. Understanding of virtualization platforms (VMware, Hyper-V, etc.). Industry and Work Experience: 7 years of experience in progressively complex IT technical roles within an enterprise environment required. 5 years of experience working with LAN technology required. 5 years of experience working with Citrix Netscaler preferred. 7 years of experience implementing/managing patch management, software deployment and endpoint security required. Experience with configuration management and asset management required. Experience in security and capacity management and process automation and improvement required. Experience in a systems administration role supporting Microsoft Windows, Linux and VMware required. Project management experience preferred. Experience with database server administration and technologies preferred. Academic: Bachelor's degree in computer engineering or a similar field required. A+, Server+, and Network+ certification is preferred. ITIL v3 framework certification is preferred.

Job Title: Data engineer Location: Atlanta, GA Duration: Long Term Contract Job Description: Key Responsibilities: • Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.)., • Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms)., • Ensure data quality, governance, and security across all pipelines., • Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation., • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets., • Monitor and troubleshoot data workflows, ensuring high availability and performance., • Stay updated with emerging AWS technologies and recommend improvements. Required Skills & Qualifications • Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS., • Proficiency in SQL, Python and PySpark, • Knowledge of data modeling, schema design, and performance tuning., • Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation)., • Experience with security best practices (IAM, encryption, compliance).