BUILD A BETTER CAREER WITH MSC Serving customers and our community starts with the best people doing their best work. That is precisely what we have created at MSC Industrial Supply Co. We are a leading North American distributor of metalworking and maintenance, repair, and operations (MRO), products and services. We offer more than 2 million products and have over 80 years of experience across dozens of industries. We aim to execute our Built to Make You Better brand promise for all our stakeholders, including our associates. Requisition ID :20435 Employment Type :Full Time Job Category :Business Transformation Work Location :Davidson, NC (CSC) BRIEF POSITION SUMMARY: The EPMO Project Manager llI manages both traditional waterfall and agile scrum projects and programs in support of corporate objectives. This includes all aspects of medium to large projects and programs, from initiation to release, and consolidates portfolio status and generates reports for leadership. For waterfall projects, they will define scope, facilitate meetings, obtain resources and budget, develop project schedules, identify risks and develop mitigation plans, monitor and report performance, support implementation and transition deliverables to operational support. For Agile Scrum projects, they will serve as Release Train Engineers, organize and coach teams, groom backlogs with Product Owners, facilitate ceremonies (stand ups, demo's, retrospectives), track and publish information radiators on sprints, remove impediments for the team, and coordinate releases. This person will be a key player in helping the organization transition to an Agile methodology. This role is roughly equivalent to a Program Manager. DUTIES and RESPONSIBILITIES: General Manages other PM's and indirect staff, both onsite and remotely, for project work. Works directly with the business and IT teams to implement solutions to satisfy various business challenges and objectives. Has an in-depth knowledge of the methodology and processes for managing projects and programs, and of common software development lifecycles, i.e., Waterfall, Agile. Works with functional owners to assign appropriate resources and prioritize across projects. Leads and manages multiple projects teams and facilitates effective team work to achieve the goals of the program. Confidently communicates project and program status to all stake holders on a regular basis. This includes the project team as well as to management and executive steering committees. Authors executive communications. Facilitates business case and ROI development. Facilitates build vs. buy analysis and software selection process. Manages all aspects of large cross functional projects and programs including business processes, IT infrastructure and application development. Manages internal and external dependencies within and between projects and programs. Leads implementation of cloud-based Anything as a Service (XaaS) solutions and system integration projects. Leads proof of concept projects for new technologies. Acts as an internal consultant, advocate, mentor and change agent. Maintains confidentiality of necessary information. Maintains and follows all MSC and EPMO standards. Champions development of new and improvement of existing EPMO methods and procedures. Participates in special projects and performs additional duties as required. Challenges the status quo and advocates for Program Sponsor. Fosters and drives MSC Culture throughout the company to ensure unity of vision and fulfillment of MSC's mission. Waterfall Manages scope of work. Recognizes changes in scope and works to control scope. Develops project plans including timelines and resource allocation and drives team to adhere to plan. Focuses on deliverables and ensures team does same. Manages the triple constraints of scope, budget and resources. Accountable for documenting project risk. Identify, quantify and track risks and facilitate the development of risk mitigation plans. Provides hands-on project implementation assistance including troubleshooting and resolving process problems. Works with team to obtain accurate estimates to proposed solutions and is accountable for same. Drives quality control on all implementations while meeting customer expectations. Drives brainstorming and decision making of proposed solutions that align with expectations. Performs analysis of success factors, to determine the progress toward stated goals and objectives. Ensures all established schedule, cost and quality objectives are met. Transition project to operational steady state and functional ownership. If applicable, responsible for budget and invoice tracking. Scrum Guides, coaches and motivates the team with the goal of increasing productivity. Removes impediments for the scrum team, develop solutions and monitors sprint progress. Facilitates decision-making processes to ensure quick inspection and proper use of adaptation process. Helps Product Owner to build the product backlogs, groom them and prioritize them for the next sprint. Coaches Product Owner and stakeholders in writing proper user stories. Manage and optimize the flow of value through the Agile Release Train (ART) and Solution Train using various tools, such as the Program and Solution Kanbans and other information radiators. Facilitate PI Planning readiness by fostering a Continuous Exploration process which drives the synthesis of a Vision , a Roadmap, and Backlogs , and through Pre- and Post-PI Planning meetings. Facilitate the PI planning event and assist tracking the execution of features and capabilities. Facilitate periodic synchronization meetings, including the ART sync at the Program level and the value stream syncfor Solution Trains at the Portfolio level. Assist with economic decision-making by facilitating feature and capability estimation by teams and the roll-up to Epics, where necessary. Coach leaders, teams, and Scrum Masters in Lean-Agile practices and mindsets. EDUCATION and EXPERIENCE: Bachelor's Degree in Project Management, Computer Science, Business Administration, Engineering or other related field or the equivalent experience is required. Master's Degree preferred. PMP certification required. Scrum Master certification, or equivalent required. Minimum 5 years' experience in project management methodologies, such as waterfall and scrum, demonstrating growth in capabilities and responsibilities, required. Experience working in a Project Management Office (PMO) preferred. Experience working with a Project Portfolio Management (PPM) Tool strongly preferred. Experience leading large scale projects and programs required. Experience managing Portfolios a strong plus. Experience managing geographically dispersed teams preferred. Management experience is preferred. Five years or equivalent experience implementing projects with technical components preferred. Experience implementing and integrating large complex cloud-based, Anything as a Service (XaaS) solutions preferred. Experience implementing SAP ERP and system integration a strong plus. Experience with agile methodology and frameworks like Scrum, Kanban, XP, SAFe, etc.preferred. Experience with agile tools to manage backlogs and Kanban boards preferred. Experience with Organizational Change Management (Prosci, ADKAR, Kotter or Conner methodology) preferred. Experience with business acquisitions and integration preferred. SKILLS: Strong leadership, management, interpersonal and team building skills required. Ability to manage multiple programs and interdependencies simultaneously. Assumes responsibility for achieving project / program objectives. Ability to think conceptually and strategically required. Excellent oral and written communication and presentation skills required. Highly organized with excellent time management skills required. Ability to delegate demonstrating strong follow up skills required. Advanced understanding of Microsoft Office applications (i.e. PowerPoint, Word, Excel) required. Office 365 preferred. Waterfall Ability to create a Work Breakdown Structure, identify dependencies and constraints, and generate a critical path. Strong knowledge of Microsoft Project or similar tools and formal project management principles required. Ability to identify risks and develop mitigation plans, document issues and develop resolution plans, capture decisions and develop escalation plans. Ability to manage complex technology implementations. Scrum Ability to forecast the number of user stories possible in an iteration, through various agile forecasting and estimating techniques, and based on evidence of reliable estimations. Ability to apply agile techniques like: user stories, continuous integration, ATDD, TDD, continuous testing, automated testing, backlog tracking, burndown metrics, velocity, etc. Ability to communicate with stakeholders, escalate impediments, manage risk, and coordinate multiple scrum teams. Facilitation skills for demos, retrospectives, and sprint planning. OTHER REQUIREMENTS: Supports project milestones (i.e., go-live, etc.) off-hours as appropriate. A valid driver's license and the ability to travel up to 10% required. Compensation starting at $82670 - $129910 depending on candidate location and experience. . click apply for full job details
05/13/2026
Full time
BUILD A BETTER CAREER WITH MSC Serving customers and our community starts with the best people doing their best work. That is precisely what we have created at MSC Industrial Supply Co. We are a leading North American distributor of metalworking and maintenance, repair, and operations (MRO), products and services. We offer more than 2 million products and have over 80 years of experience across dozens of industries. We aim to execute our Built to Make You Better brand promise for all our stakeholders, including our associates. Requisition ID :20435 Employment Type :Full Time Job Category :Business Transformation Work Location :Davidson, NC (CSC) BRIEF POSITION SUMMARY: The EPMO Project Manager llI manages both traditional waterfall and agile scrum projects and programs in support of corporate objectives. This includes all aspects of medium to large projects and programs, from initiation to release, and consolidates portfolio status and generates reports for leadership. For waterfall projects, they will define scope, facilitate meetings, obtain resources and budget, develop project schedules, identify risks and develop mitigation plans, monitor and report performance, support implementation and transition deliverables to operational support. For Agile Scrum projects, they will serve as Release Train Engineers, organize and coach teams, groom backlogs with Product Owners, facilitate ceremonies (stand ups, demo's, retrospectives), track and publish information radiators on sprints, remove impediments for the team, and coordinate releases. This person will be a key player in helping the organization transition to an Agile methodology. This role is roughly equivalent to a Program Manager. DUTIES and RESPONSIBILITIES: General Manages other PM's and indirect staff, both onsite and remotely, for project work. Works directly with the business and IT teams to implement solutions to satisfy various business challenges and objectives. Has an in-depth knowledge of the methodology and processes for managing projects and programs, and of common software development lifecycles, i.e., Waterfall, Agile. Works with functional owners to assign appropriate resources and prioritize across projects. Leads and manages multiple projects teams and facilitates effective team work to achieve the goals of the program. Confidently communicates project and program status to all stake holders on a regular basis. This includes the project team as well as to management and executive steering committees. Authors executive communications. Facilitates business case and ROI development. Facilitates build vs. buy analysis and software selection process. Manages all aspects of large cross functional projects and programs including business processes, IT infrastructure and application development. Manages internal and external dependencies within and between projects and programs. Leads implementation of cloud-based Anything as a Service (XaaS) solutions and system integration projects. Leads proof of concept projects for new technologies. Acts as an internal consultant, advocate, mentor and change agent. Maintains confidentiality of necessary information. Maintains and follows all MSC and EPMO standards. Champions development of new and improvement of existing EPMO methods and procedures. Participates in special projects and performs additional duties as required. Challenges the status quo and advocates for Program Sponsor. Fosters and drives MSC Culture throughout the company to ensure unity of vision and fulfillment of MSC's mission. Waterfall Manages scope of work. Recognizes changes in scope and works to control scope. Develops project plans including timelines and resource allocation and drives team to adhere to plan. Focuses on deliverables and ensures team does same. Manages the triple constraints of scope, budget and resources. Accountable for documenting project risk. Identify, quantify and track risks and facilitate the development of risk mitigation plans. Provides hands-on project implementation assistance including troubleshooting and resolving process problems. Works with team to obtain accurate estimates to proposed solutions and is accountable for same. Drives quality control on all implementations while meeting customer expectations. Drives brainstorming and decision making of proposed solutions that align with expectations. Performs analysis of success factors, to determine the progress toward stated goals and objectives. Ensures all established schedule, cost and quality objectives are met. Transition project to operational steady state and functional ownership. If applicable, responsible for budget and invoice tracking. Scrum Guides, coaches and motivates the team with the goal of increasing productivity. Removes impediments for the scrum team, develop solutions and monitors sprint progress. Facilitates decision-making processes to ensure quick inspection and proper use of adaptation process. Helps Product Owner to build the product backlogs, groom them and prioritize them for the next sprint. Coaches Product Owner and stakeholders in writing proper user stories. Manage and optimize the flow of value through the Agile Release Train (ART) and Solution Train using various tools, such as the Program and Solution Kanbans and other information radiators. Facilitate PI Planning readiness by fostering a Continuous Exploration process which drives the synthesis of a Vision , a Roadmap, and Backlogs , and through Pre- and Post-PI Planning meetings. Facilitate the PI planning event and assist tracking the execution of features and capabilities. Facilitate periodic synchronization meetings, including the ART sync at the Program level and the value stream syncfor Solution Trains at the Portfolio level. Assist with economic decision-making by facilitating feature and capability estimation by teams and the roll-up to Epics, where necessary. Coach leaders, teams, and Scrum Masters in Lean-Agile practices and mindsets. EDUCATION and EXPERIENCE: Bachelor's Degree in Project Management, Computer Science, Business Administration, Engineering or other related field or the equivalent experience is required. Master's Degree preferred. PMP certification required. Scrum Master certification, or equivalent required. Minimum 5 years' experience in project management methodologies, such as waterfall and scrum, demonstrating growth in capabilities and responsibilities, required. Experience working in a Project Management Office (PMO) preferred. Experience working with a Project Portfolio Management (PPM) Tool strongly preferred. Experience leading large scale projects and programs required. Experience managing Portfolios a strong plus. Experience managing geographically dispersed teams preferred. Management experience is preferred. Five years or equivalent experience implementing projects with technical components preferred. Experience implementing and integrating large complex cloud-based, Anything as a Service (XaaS) solutions preferred. Experience implementing SAP ERP and system integration a strong plus. Experience with agile methodology and frameworks like Scrum, Kanban, XP, SAFe, etc.preferred. Experience with agile tools to manage backlogs and Kanban boards preferred. Experience with Organizational Change Management (Prosci, ADKAR, Kotter or Conner methodology) preferred. Experience with business acquisitions and integration preferred. SKILLS: Strong leadership, management, interpersonal and team building skills required. Ability to manage multiple programs and interdependencies simultaneously. Assumes responsibility for achieving project / program objectives. Ability to think conceptually and strategically required. Excellent oral and written communication and presentation skills required. Highly organized with excellent time management skills required. Ability to delegate demonstrating strong follow up skills required. Advanced understanding of Microsoft Office applications (i.e. PowerPoint, Word, Excel) required. Office 365 preferred. Waterfall Ability to create a Work Breakdown Structure, identify dependencies and constraints, and generate a critical path. Strong knowledge of Microsoft Project or similar tools and formal project management principles required. Ability to identify risks and develop mitigation plans, document issues and develop resolution plans, capture decisions and develop escalation plans. Ability to manage complex technology implementations. Scrum Ability to forecast the number of user stories possible in an iteration, through various agile forecasting and estimating techniques, and based on evidence of reliable estimations. Ability to apply agile techniques like: user stories, continuous integration, ATDD, TDD, continuous testing, automated testing, backlog tracking, burndown metrics, velocity, etc. Ability to communicate with stakeholders, escalate impediments, manage risk, and coordinate multiple scrum teams. Facilitation skills for demos, retrospectives, and sprint planning. OTHER REQUIREMENTS: Supports project milestones (i.e., go-live, etc.) off-hours as appropriate. A valid driver's license and the ability to travel up to 10% required. Compensation starting at $82670 - $129910 depending on candidate location and experience. . click apply for full job details
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows. Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient. This is production software. Failures matter. Observability is required. Ownership is non-negotiable. For the past decade, we've mastered deploying autonomous agents in one of the most tightly controlled industries - even engineering ways to operate without APIs in systems designed to resist automation. Today, we're building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously. By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work. This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure. We are a lean, bootstrapped team operating 15+ customer systems at scale. Every engineer carries meaningful responsibility. We are self-sustaining and control our financial destiny. Why join us? Big impact - Join a core team where your code directly affects users and outcomes. Hands-on autonomy - You'll own projects end-to-end and help shape system architecture from the ground up. Smart, no-fluff culture - Work with a team that values clarity, extreme ownership, and fast iteration. Mission-driven - Build tools that help community banks compete in a world of megafintech. Startup agility - Ship daily. Influence product. Leave a legacy. If you like building durable, production-grade systems that solve real problems-and doing it alongside talented engineers who care deeply about their craft-this is the place. Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team. You will own and operate real production systems. You will ship to production early. You will be on-call for the systems you touch. You will be expected to design your part well - and live with the consequences. This role is not about exploration, endless design, or theoretical elegance. It is about turning ambiguity into working systems under pressure. If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job. What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership "I was part of the team" without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team. Real ownership. We ship frequently. We design for failure. We expect engineers to understand how their code behaves in production. We value clarity, judgment, and durability over polish. Feedback is direct. Responsibility is real. The Reality Check This is a small tiger team. Long hours at times. Occasional weekends. Ambiguous problems. Little guidance. Solo ownership. Average pay. High responsibility. Failure is possible. In return: Meaningful ownership Recognition The chance to build systems that matter - and last Growth Path This role is already senior in responsibility. Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows. Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient. This is production software. Failures matter. Observability is required. Ownership is non-negotiable. For the past decade, we've mastered deploying autonomous agents in one of the most tightly controlled industries - even engineering ways to operate without APIs in systems designed to resist automation. Today, we're building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously. By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work. This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure. We are a lean, bootstrapped team operating 15+ customer systems at scale. Every engineer carries meaningful responsibility. We are self-sustaining and control our financial destiny. Why join us? Big impact - Join a core team where your code directly affects users and outcomes. Hands-on autonomy - You'll own projects end-to-end and help shape system architecture from the ground up. Smart, no-fluff culture - Work with a team that values clarity, extreme ownership, and fast iteration. Mission-driven - Build tools that help community banks compete in a world of megafintech. Startup agility - Ship daily. Influence product. Leave a legacy. If you like building durable, production-grade systems that solve real problems-and doing it alongside talented engineers who care deeply about their craft-this is the place. Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team. You will own and operate real production systems. You will ship to production early. You will be on-call for the systems you touch. You will be expected to design your part well - and live with the consequences. This role is not about exploration, endless design, or theoretical elegance. It is about turning ambiguity into working systems under pressure. If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job. What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership "I was part of the team" without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team. Real ownership. We ship frequently. We design for failure. We expect engineers to understand how their code behaves in production. We value clarity, judgment, and durability over polish. Feedback is direct. Responsibility is real. The Reality Check This is a small tiger team. Long hours at times. Occasional weekends. Ambiguous problems. Little guidance. Solo ownership. Average pay. High responsibility. Failure is possible. In return: Meaningful ownership Recognition The chance to build systems that matter - and last Growth Path This role is already senior in responsibility. Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Software Engineer Job Code: 36860 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Position Overview: L3Harris, Mission Networks, is seeking a Systems Engineer to join our team as a Lead Systems / Software Engineer supporting various programs, IRADs and proposals. This role will be for leading various programs, IRADs and proposals assigned to you by providing strong traditional Systems Engineering Development Life Cycle (SDLC) rigor through all phases of the project. This includes working closely with Software and Network Engineers to design and architect solutions, capture and document requirements, design artifacts, and presenting at various milestone gate reviews using L3Harris Technologies process. Essential Functions: Conducts technical planning and analysis activities throughout all phases of the software, network, and/or cloud system lifecycle, from concept through to delivery. Author and conduct Program Gate reviews such as SRR, SDR, PDR, CDR, and TRR. Overseas system integration activities with SI&T leader to ensure cohesive operation across software modules and cloud infrastructure. Develops, maintains, and documents Interface Control Documents (ICDs) to clearly define and manage software and cloud subsystem interfaces. In concert with SI&T Leader manage verification and validation processes to confirm that cloud-based and software-centric systems meet all functional and performance requirements. Performs cost, risk, supportability, and effectiveness analyses with a focus on scalable and maintainable cloud architectures. Translates customer and stakeholder requirements into comprehensive system solutions, considering technical, schedule, and cost constraints. Executes functional decomposition, requirements allocation, and detailed trade studies to define hardware and software specifications for software and cloud systems. Develops and maintains interface definitions between software services, cloud resources, and any hardware elements. Collaborates with cross-disciplinary teams during design, implementation, and testing to ensure requirements traceability and system integrity. Supports installation, operation, and maintenance planning for cloud-hosted software products, ensuring long-term supportability and security. Identifies opportunities for system improvement and advocates for best practices in software architecture and cloud platform utilization. Ability to obtain and maintain FAA Public Trust. Qualifications: Bachelor's degree in Software, Computer Science, Network Engineering or a related field and minimum 9 years of prior relevant experience, or Graduate Degree in Systems or Software Engineering or a related field and a minimum of 7 years of prior related experience. In lieu of a degree, there is a minimum of 13 years of prior experience in Design for Cloud-based Software projects, design and architecture or resilient networks or related. Preferred Additional Skills: Experience supporting defense, intelligence, or aviation programs. Experience in the use of Model-Based Systems Engineering (MBSE) tools such as CAMEO or other applications leveraging SYSML. Certifications such as, AWS Certified Solutions Architect, or AWS Certified Practitioner. Familiarity with Kubernetes platform for Cloud systems. Experience working in an Agile SW development process. Hands-on experience leading cross-functional teams, mentoring engineers, and engaging stakeholders. Excellent written and verbal communication skills; experience generating system documentation and security packages. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Software Engineer Job Code: 36860 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Position Overview: L3Harris, Mission Networks, is seeking a Systems Engineer to join our team as a Lead Systems / Software Engineer supporting various programs, IRADs and proposals. This role will be for leading various programs, IRADs and proposals assigned to you by providing strong traditional Systems Engineering Development Life Cycle (SDLC) rigor through all phases of the project. This includes working closely with Software and Network Engineers to design and architect solutions, capture and document requirements, design artifacts, and presenting at various milestone gate reviews using L3Harris Technologies process. Essential Functions: Conducts technical planning and analysis activities throughout all phases of the software, network, and/or cloud system lifecycle, from concept through to delivery. Author and conduct Program Gate reviews such as SRR, SDR, PDR, CDR, and TRR. Overseas system integration activities with SI&T leader to ensure cohesive operation across software modules and cloud infrastructure. Develops, maintains, and documents Interface Control Documents (ICDs) to clearly define and manage software and cloud subsystem interfaces. In concert with SI&T Leader manage verification and validation processes to confirm that cloud-based and software-centric systems meet all functional and performance requirements. Performs cost, risk, supportability, and effectiveness analyses with a focus on scalable and maintainable cloud architectures. Translates customer and stakeholder requirements into comprehensive system solutions, considering technical, schedule, and cost constraints. Executes functional decomposition, requirements allocation, and detailed trade studies to define hardware and software specifications for software and cloud systems. Develops and maintains interface definitions between software services, cloud resources, and any hardware elements. Collaborates with cross-disciplinary teams during design, implementation, and testing to ensure requirements traceability and system integrity. Supports installation, operation, and maintenance planning for cloud-hosted software products, ensuring long-term supportability and security. Identifies opportunities for system improvement and advocates for best practices in software architecture and cloud platform utilization. Ability to obtain and maintain FAA Public Trust. Qualifications: Bachelor's degree in Software, Computer Science, Network Engineering or a related field and minimum 9 years of prior relevant experience, or Graduate Degree in Systems or Software Engineering or a related field and a minimum of 7 years of prior related experience. In lieu of a degree, there is a minimum of 13 years of prior experience in Design for Cloud-based Software projects, design and architecture or resilient networks or related. Preferred Additional Skills: Experience supporting defense, intelligence, or aviation programs. Experience in the use of Model-Based Systems Engineering (MBSE) tools such as CAMEO or other applications leveraging SYSML. Certifications such as, AWS Certified Solutions Architect, or AWS Certified Practitioner. Familiarity with Kubernetes platform for Cloud systems. Experience working in an Agile SW development process. Hands-on experience leading cross-functional teams, mentoring engineers, and engaging stakeholders. Excellent written and verbal communication skills; experience generating system documentation and security packages. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
GraphQL Developer Own Full-Stack Architecture in a High-Impact Consulting Environment This Jobot Job is hosted by: Andrew Nguyen Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $185,000 per year A bit about us: We are a high-end technology consulting firm based in the Northern Virginia area. Our customers routinely call upon us to solve some of the largest scale and hardest problems in computer science and software development. If you have a solid grounding in software engineering, continuous delivery, and computer science, and are looking for a career opportunity to grow and leverage those skills to the fullest while working on cutting edge technologies - Here is the place to be! Why join us? 184k Salary! 15% Annual Bonuses! Remote Schedule! 100% company paid medical, dental, and vision insurance (including family)! 100% company paid individual short- and long-term disability! 100% company paid vision insurance! 3% company contribution to 401(k)! 15 days paid time off per year + 1 day/year up to 20 days! 10 training days per year! 8 company holidays + 2 personal days! Job Details We are looking for a talented and experienced Lead Software Engineer to lead a remote-first team of full-stack software engineers working in a complex enterprise environment. This is a hands-on leadership role for someone who can drive technical direction, maintain a high delivery bar, and operate effectively across architecture, product, and engineering stakeholders. The initial assignment is to help lead the development and modernization of enterprise financial services platforms, including backend systems, federated GraphQL services, workflow-driven application components, and cloud-native infrastructure on AWS. The right candidate will combine strong software engineering depth with delivery accountability, sound technical judgment, and the ability to move work forward in messy, real-world environments. JOB RESPONSIBILITIES Lead a team of software engineers, SDETs, and DevOps-oriented engineers in the delivery of complex software systems Perform hands-on application programming with an emphasis on backend and integration systems development using GraphQL, Apollo, Node.js, TypeScript, JavaScript, Python, RESTful APIs, and data pipelines Architect, design, and build distributed systems and integrations using a suite of AWS components including but not limited to EKS, Lambda, S3, MSK, and Aurora Design and implement GraphQL subgraphs and contribute to federated graph architecture and schema governance Define and maintain architectural standards, ensuring systems remain scalable, secure, maintainable, and aligned with enterprise constraints Oversee project execution across multiple complex initiatives, managing timelines, risks, dependencies, and delivery outcomes Define and enforce engineering best practices around code quality, CI/CD pipelines, deployment workflows, and cloud operations Promote a DevOps and cloud-first mindset, ensuring teams fully leverage modern engineering practices and cloud-native capabilities QUALIFICATIONS 2+ years of experience as a tech lead 3+ years of experience as a senior software engineer 7+ years of software development experience including 3+ years of TypeScript and Node.js 2+ years of experience working with GraphQL Strong experience developing, deploying, and supporting systems in AWS Strong SQL skills Working knowledge of at least one of the following frontend JavaScript frameworks: Angular, Ionic, React, or Vue Experience building and improving CI/CD pipelines Full application stack development experience from front-end to persistence Full software lifecycle participation from requirements to post-implementation support Linux command line proficiency Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
GraphQL Developer Own Full-Stack Architecture in a High-Impact Consulting Environment This Jobot Job is hosted by: Andrew Nguyen Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $185,000 per year A bit about us: We are a high-end technology consulting firm based in the Northern Virginia area. Our customers routinely call upon us to solve some of the largest scale and hardest problems in computer science and software development. If you have a solid grounding in software engineering, continuous delivery, and computer science, and are looking for a career opportunity to grow and leverage those skills to the fullest while working on cutting edge technologies - Here is the place to be! Why join us? 184k Salary! 15% Annual Bonuses! Remote Schedule! 100% company paid medical, dental, and vision insurance (including family)! 100% company paid individual short- and long-term disability! 100% company paid vision insurance! 3% company contribution to 401(k)! 15 days paid time off per year + 1 day/year up to 20 days! 10 training days per year! 8 company holidays + 2 personal days! Job Details We are looking for a talented and experienced Lead Software Engineer to lead a remote-first team of full-stack software engineers working in a complex enterprise environment. This is a hands-on leadership role for someone who can drive technical direction, maintain a high delivery bar, and operate effectively across architecture, product, and engineering stakeholders. The initial assignment is to help lead the development and modernization of enterprise financial services platforms, including backend systems, federated GraphQL services, workflow-driven application components, and cloud-native infrastructure on AWS. The right candidate will combine strong software engineering depth with delivery accountability, sound technical judgment, and the ability to move work forward in messy, real-world environments. JOB RESPONSIBILITIES Lead a team of software engineers, SDETs, and DevOps-oriented engineers in the delivery of complex software systems Perform hands-on application programming with an emphasis on backend and integration systems development using GraphQL, Apollo, Node.js, TypeScript, JavaScript, Python, RESTful APIs, and data pipelines Architect, design, and build distributed systems and integrations using a suite of AWS components including but not limited to EKS, Lambda, S3, MSK, and Aurora Design and implement GraphQL subgraphs and contribute to federated graph architecture and schema governance Define and maintain architectural standards, ensuring systems remain scalable, secure, maintainable, and aligned with enterprise constraints Oversee project execution across multiple complex initiatives, managing timelines, risks, dependencies, and delivery outcomes Define and enforce engineering best practices around code quality, CI/CD pipelines, deployment workflows, and cloud operations Promote a DevOps and cloud-first mindset, ensuring teams fully leverage modern engineering practices and cloud-native capabilities QUALIFICATIONS 2+ years of experience as a tech lead 3+ years of experience as a senior software engineer 7+ years of software development experience including 3+ years of TypeScript and Node.js 2+ years of experience working with GraphQL Strong experience developing, deploying, and supporting systems in AWS Strong SQL skills Working knowledge of at least one of the following frontend JavaScript frameworks: Angular, Ionic, React, or Vue Experience building and improving CI/CD pipelines Full application stack development experience from front-end to persistence Full software lifecycle participation from requirements to post-implementation support Linux command line proficiency Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Software Engineer Job Code: 36860 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Position Overview: L3Harris, Mission Networks, is seeking a Systems Engineer to join our team as a Lead Systems / Software Engineer supporting various programs, IRADs and proposals. This role will be for leading various programs, IRADs and proposals assigned to you by providing strong traditional Systems Engineering Development Life Cycle (SDLC) rigor through all phases of the project. This includes working closely with Software and Network Engineers to design and architect solutions, capture and document requirements, design artifacts, and presenting at various milestone gate reviews using L3Harris Technologies process. Essential Functions: Conducts technical planning and analysis activities throughout all phases of the software, network, and/or cloud system lifecycle, from concept through to delivery. Author and conduct Program Gate reviews such as SRR, SDR, PDR, CDR, and TRR. Overseas system integration activities with SI&T leader to ensure cohesive operation across software modules and cloud infrastructure. Develops, maintains, and documents Interface Control Documents (ICDs) to clearly define and manage software and cloud subsystem interfaces. In concert with SI&T Leader manage verification and validation processes to confirm that cloud-based and software-centric systems meet all functional and performance requirements. Performs cost, risk, supportability, and effectiveness analyses with a focus on scalable and maintainable cloud architectures. Translates customer and stakeholder requirements into comprehensive system solutions, considering technical, schedule, and cost constraints. Executes functional decomposition, requirements allocation, and detailed trade studies to define hardware and software specifications for software and cloud systems. Develops and maintains interface definitions between software services, cloud resources, and any hardware elements. Collaborates with cross-disciplinary teams during design, implementation, and testing to ensure requirements traceability and system integrity. Supports installation, operation, and maintenance planning for cloud-hosted software products, ensuring long-term supportability and security. Identifies opportunities for system improvement and advocates for best practices in software architecture and cloud platform utilization. Ability to obtain and maintain FAA Public Trust. Qualifications: Bachelor's degree in Software, Computer Science, Network Engineering or a related field and minimum 9 years of prior relevant experience, or Graduate Degree in Systems or Software Engineering or a related field and a minimum of 7 years of prior related experience. In lieu of a degree, there is a minimum of 13 years of prior experience in Design for Cloud-based Software projects, design and architecture or resilient networks or related. Preferred Additional Skills: Experience supporting defense, intelligence, or aviation programs. Experience in the use of Model-Based Systems Engineering (MBSE) tools such as CAMEO or other applications leveraging SYSML. Certifications such as, AWS Certified Solutions Architect, or AWS Certified Practitioner. Familiarity with Kubernetes platform for Cloud systems. Experience working in an Agile SW development process. Hands-on experience leading cross-functional teams, mentoring engineers, and engaging stakeholders. Excellent written and verbal communication skills; experience generating system documentation and security packages. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Software Engineer Job Code: 36860 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Position Overview: L3Harris, Mission Networks, is seeking a Systems Engineer to join our team as a Lead Systems / Software Engineer supporting various programs, IRADs and proposals. This role will be for leading various programs, IRADs and proposals assigned to you by providing strong traditional Systems Engineering Development Life Cycle (SDLC) rigor through all phases of the project. This includes working closely with Software and Network Engineers to design and architect solutions, capture and document requirements, design artifacts, and presenting at various milestone gate reviews using L3Harris Technologies process. Essential Functions: Conducts technical planning and analysis activities throughout all phases of the software, network, and/or cloud system lifecycle, from concept through to delivery. Author and conduct Program Gate reviews such as SRR, SDR, PDR, CDR, and TRR. Overseas system integration activities with SI&T leader to ensure cohesive operation across software modules and cloud infrastructure. Develops, maintains, and documents Interface Control Documents (ICDs) to clearly define and manage software and cloud subsystem interfaces. In concert with SI&T Leader manage verification and validation processes to confirm that cloud-based and software-centric systems meet all functional and performance requirements. Performs cost, risk, supportability, and effectiveness analyses with a focus on scalable and maintainable cloud architectures. Translates customer and stakeholder requirements into comprehensive system solutions, considering technical, schedule, and cost constraints. Executes functional decomposition, requirements allocation, and detailed trade studies to define hardware and software specifications for software and cloud systems. Develops and maintains interface definitions between software services, cloud resources, and any hardware elements. Collaborates with cross-disciplinary teams during design, implementation, and testing to ensure requirements traceability and system integrity. Supports installation, operation, and maintenance planning for cloud-hosted software products, ensuring long-term supportability and security. Identifies opportunities for system improvement and advocates for best practices in software architecture and cloud platform utilization. Ability to obtain and maintain FAA Public Trust. Qualifications: Bachelor's degree in Software, Computer Science, Network Engineering or a related field and minimum 9 years of prior relevant experience, or Graduate Degree in Systems or Software Engineering or a related field and a minimum of 7 years of prior related experience. In lieu of a degree, there is a minimum of 13 years of prior experience in Design for Cloud-based Software projects, design and architecture or resilient networks or related. Preferred Additional Skills: Experience supporting defense, intelligence, or aviation programs. Experience in the use of Model-Based Systems Engineering (MBSE) tools such as CAMEO or other applications leveraging SYSML. Certifications such as, AWS Certified Solutions Architect, or AWS Certified Practitioner. Familiarity with Kubernetes platform for Cloud systems. Experience working in an Agile SW development process. Hands-on experience leading cross-functional teams, mentoring engineers, and engaging stakeholders. Excellent written and verbal communication skills; experience generating system documentation and security packages. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Information Security Systems Engineer Job Code: 36849 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments. • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TOP-SECRET/SCI ELIGIBLE security clearance. • DoD 8140.03 IASAE Level 1 or 2 certification baseline security certification required. • This position is performed onsite with up to 20% travel required. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Information Security Systems Engineer Job Code: 36849 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments. • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TOP-SECRET/SCI ELIGIBLE security clearance. • DoD 8140.03 IASAE Level 1 or 2 certification baseline security certification required. • This position is performed onsite with up to 20% travel required. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Information Security Systems Engineer Job Code: 36849 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments. • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TOP-SECRET/SCI ELIGIBLE security clearance. • DoD 8140.03 IASAE Level 1 or 2 certification baseline security certification required. • This position is performed onsite with up to 20% travel required. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $92,500 - $171,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Information Security Systems Engineer Job Code: 36849 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); and Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments. • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TOP-SECRET/SCI ELIGIBLE security clearance. • DoD 8140.03 IASAE Level 1 or 2 certification baseline security certification required. • This position is performed onsite with up to 20% travel required. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $92,500 - $171,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Information Security Systems Engineer Job Code: 36850 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments and development of Configuration Management Plans (CMP). • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. • This position is performed 100% onsite and cannot be performed remotely. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TS/SCI Security Clearance. • DoD 8140.03 IASAE Level 1 or 2 certification. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in New York state is $92,500 - $171,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Information Security Systems Engineer Job Code: 36850 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments and development of Configuration Management Plans (CMP). • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. • This position is performed 100% onsite and cannot be performed remotely. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TS/SCI Security Clearance. • DoD 8140.03 IASAE Level 1 or 2 certification. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in New York state is $92,500 - $171,500 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Information Security Systems Engineer Job Code: 36850 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments and development of Configuration Management Plans (CMP). • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. • This position is performed 100% onsite and cannot be performed remotely. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TS/SCI Security Clearance. • DoD 8140.03 IASAE Level 1 or 2 certification. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in New York state is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
05/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Information Security Systems Engineer Job Code: 36850 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off) Job Description: The successful candidate will support a highly motivated engineering team in defining, designing, implementing, documenting, testing and sustaining security solutions on National Security Systems, or other systems engineered for our government customers, using current standards within National Institute of Standards & Technology (NIST) Risk Management Framework, Special Publications 800-37, 800-53, 800-171, and other NIST publications; Committee on National Security Systems Instruction (CNNSI) 1253, Joint SAP Implementation Guide (JSIG), and Federal Information Processing Standards (FIPS) to certify and achieve system accreditations. The successful candidate will work with system developers or commercial product vendors in the design and evaluation of state-of-the-art secure systems, networks, and database products, using methods such as encryption technology, vulnerability analysis and security management. Essential Functions: • Exercise skills in NIST Risk Management Framework (RMF) and all related NIST publications, to include writing System Security Plans, Security Control Traceability Matrix, Continuous Monitoring Plan, Security Assessment Plans & Procedures, Security Concept of Operations, Plan of Action and Milestones. • Perform skills in implementing/assessing security controls, to include writing system security categorization memorandum, recommending appropriate security control overlays, define security control baseline based on defined system security categorization and approved security overlays, and apply security controls to computing/network nodes and verify implementation of security controls. • Assist in systems/software engineering functions, to include creation of data flow diagrams, interface control documents, perform trade studies, and Static Application Security Testing (SAST) for Application Security and Development Secure Technical Implementation Guide (STIG) compliance using tools such as Fortify/Coverity and Gitlab as part of a DevSecOps Continuous Integration/Continuous Deployment (CI/CD) Pipeline, and generation of summary reports. • Define/manage systems/security architectures including system security boundaries, vulnerability management and risk mitigation and remediation strategies within networks, systems, applications and new technology initiatives (hardware, software, firewalls, intrusion detection systems, anti-virus systems and software deployment tools); Infrastructure/Platform/Software as a Service (IaaS, PaaS, SaaS) implementations in cloud environments and development of Configuration Management Plans (CMP). • Define/manage systems/security architectures including system security boundaries in on-premises data center systems and ultimately deploy to secure cloud-based system, to include configuration and use of defense and assessment tools specific to each environment type. • This position is performed 100% onsite and cannot be performed remotely. Qualifications: • Education o Bachelor's Degree and minimum 6 years of prior relevant experience. o Graduate Degree and a minimum of 4 years of prior related experience. o In lieu of a degree, minimum of 10 years of prior related experience. • Must have active TS/SCI Security Clearance. • DoD 8140.03 IASAE Level 1 or 2 certification. Preferred Additional Skills: • Perform Model Based System Engineering (UML, SysML, UAF). • Configure/operate vulnerability analysis tools such Tenable NESSUS Security products. • Develop dashboards, configure rules and operate/administer SEIM/audit reduction tools (e.g., Splunk). • Active TS/SCI with poly is highly desired. In compliance with pay transparency requirements, the salary range for this role in New York state is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Manager, Product Management - Enterprise AI/MLProduct Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.About the Team This team powers real-time, intelligent banking by safely introducing, scaling, and operationalizing new Artificial Intelligence and Machine Learning capabilities across the business.Capital One Product FrameworkIn this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignmentBasic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentrationPreferred Qualifications: Experience in product management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog.At this time, Capital One will not sponsor a new applicant for employment authorization for this positionThe minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $164,800 - $188,100 for Manager, Product Management Chicago, IL: $149,800 - $171,000 for Manager, Product Management McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management San Francisco, CA: $179,700 - $205,100 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/13/2026
Manager, Product Management - Enterprise AI/MLProduct Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.About the Team This team powers real-time, intelligent banking by safely introducing, scaling, and operationalizing new Artificial Intelligence and Machine Learning capabilities across the business.Capital One Product FrameworkIn this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignmentBasic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentrationPreferred Qualifications: Experience in product management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog.At this time, Capital One will not sponsor a new applicant for employment authorization for this positionThe minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $164,800 - $188,100 for Manager, Product Management Chicago, IL: $149,800 - $171,000 for Manager, Product Management McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management San Francisco, CA: $179,700 - $205,100 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
This Jobot Job is hosted by: Dawit Demoz Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $110,000 - $115,000 per year A bit about us: We are a leading provider of intelligent transportation and mobility solutions, delivering innovative software, systems, and services that help organizations manage complex transportation infrastructure more efficiently, safely, and sustainably. Our solutions support mission-critical operations across tolling, traffic management, mobility analytics, and connected transportation environments. With deep technical expertise and a strong focus on reliability and performance, we design and deploy scalable, secure, and highly available platforms that operate in both cloud-based and customer-hosted environments. Our teams work closely with clients to understand their operational challenges and deliver tailored solutions that integrate seamlessly with existing systems and workflows. We pride ourselves on a collaborative, customer-centric approach, bringing together specialists in software development, DevOps, systems engineering, and project delivery to ensure successful implementation and long-term value. From initial design through deployment and ongoing support, we emphasize innovation, quality, and continuous improvement. Driven by a commitment to excellence and a passion for advancing transportation technology, we help public and private sector organizations modernize infrastructure, improve mobility outcomes, and build smarter, more connected communities. Why join us? Medical, dental, and vision insurance Company-paid life insurance Short- and long-term disability coverage 401(k) retirement plan Flexible Spending Accounts (FSA) Paid holidays, sick time, and personal leave Employee Assistance Program (EAP) Education reimbursement and professional development support Job Details Overview We are seeking a detail-oriented and collaborative Business Analyst to bridge the gap between business needs and technical solutions across a suite of software and integrated products. In this role, you will work closely with cross-functional teams and customers to define requirements, support delivery, and drive adoption through training and enablement. This position is ideal for someone who thrives in complex environments and enjoys translating business needs into clear, actionable solutions. Key Responsibilities Requirements Elicitation & Analysis Gather, analyze, and document business, functional, and non-functional requirements across SaaS, on-premise, and integrated solutions Translate business, customer, and regulatory needs into user stories, use cases, workflows, and acceptance criteria Break down complex system requirements, including software and hardware interactions, into manageable components Stakeholder Collaboration Serve as a liaison between business stakeholders, product managers, engineering teams, QA, and customer-facing teams Facilitate workshops, backlog grooming sessions, and design discussions Clarify scope, dependencies, assumptions, and constraints throughout the development lifecycle Product & Delivery Support Partner with product management on roadmap planning, prioritization, and impact analysis Support engineering teams during design, development, testing, and release cycles Participate in system integration, UAT, and customer acceptance activities Customer Training & Enablement Develop training materials, documentation, and system workflows to support customer onboarding Conduct or assist with training sessions, product demos, and knowledge-transfer activities Serve as a subject matter resource for system functionality and best practices Capture customer feedback to inform product enhancements and future requirements Documentation & Process Improvement Maintain requirements documentation, traceability matrices, process flows, and user guides Identify opportunities to improve business processes, system usability, and customer adoption Contribute to continuous improvement of BA standards, templates, and methodologies Required Qualifications Bachelor's degree in Business, Information Systems, Engineering, Computer Science, or related field (or equivalent experience) 3-5 years of experience as a Business Analyst in a software or technology-driven environment Experience working with complex requirement sets across multiple systems Experience supporting SaaS and/or enterprise software solutions Experience with customer onboarding, training, or enablement activities Strong communication skills with ability to present to both technical and non-technical audiences Strong analytical thinking, attention to detail, and problem-solving abilities Proven ability to manage shifting priorities in fast-paced environments Core Competencies Stakeholder management and facilitation Systems thinking and process analysis Collaborative, adaptable, and solution-oriented mindset Technical Skills Familiarity with Agile/Scrum methodologies and tools (Jira, Azure DevOps, Confluence) Understanding of APIs, system integrations, data flows, and basic software architecture Preferred Qualifications CBAP, CCBA, PMI-PBA, or similar certification Experience working with embedded systems, hardware/software integration, or IoT-enabled solutions Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
This Jobot Job is hosted by: Dawit Demoz Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $110,000 - $115,000 per year A bit about us: We are a leading provider of intelligent transportation and mobility solutions, delivering innovative software, systems, and services that help organizations manage complex transportation infrastructure more efficiently, safely, and sustainably. Our solutions support mission-critical operations across tolling, traffic management, mobility analytics, and connected transportation environments. With deep technical expertise and a strong focus on reliability and performance, we design and deploy scalable, secure, and highly available platforms that operate in both cloud-based and customer-hosted environments. Our teams work closely with clients to understand their operational challenges and deliver tailored solutions that integrate seamlessly with existing systems and workflows. We pride ourselves on a collaborative, customer-centric approach, bringing together specialists in software development, DevOps, systems engineering, and project delivery to ensure successful implementation and long-term value. From initial design through deployment and ongoing support, we emphasize innovation, quality, and continuous improvement. Driven by a commitment to excellence and a passion for advancing transportation technology, we help public and private sector organizations modernize infrastructure, improve mobility outcomes, and build smarter, more connected communities. Why join us? Medical, dental, and vision insurance Company-paid life insurance Short- and long-term disability coverage 401(k) retirement plan Flexible Spending Accounts (FSA) Paid holidays, sick time, and personal leave Employee Assistance Program (EAP) Education reimbursement and professional development support Job Details Overview We are seeking a detail-oriented and collaborative Business Analyst to bridge the gap between business needs and technical solutions across a suite of software and integrated products. In this role, you will work closely with cross-functional teams and customers to define requirements, support delivery, and drive adoption through training and enablement. This position is ideal for someone who thrives in complex environments and enjoys translating business needs into clear, actionable solutions. Key Responsibilities Requirements Elicitation & Analysis Gather, analyze, and document business, functional, and non-functional requirements across SaaS, on-premise, and integrated solutions Translate business, customer, and regulatory needs into user stories, use cases, workflows, and acceptance criteria Break down complex system requirements, including software and hardware interactions, into manageable components Stakeholder Collaboration Serve as a liaison between business stakeholders, product managers, engineering teams, QA, and customer-facing teams Facilitate workshops, backlog grooming sessions, and design discussions Clarify scope, dependencies, assumptions, and constraints throughout the development lifecycle Product & Delivery Support Partner with product management on roadmap planning, prioritization, and impact analysis Support engineering teams during design, development, testing, and release cycles Participate in system integration, UAT, and customer acceptance activities Customer Training & Enablement Develop training materials, documentation, and system workflows to support customer onboarding Conduct or assist with training sessions, product demos, and knowledge-transfer activities Serve as a subject matter resource for system functionality and best practices Capture customer feedback to inform product enhancements and future requirements Documentation & Process Improvement Maintain requirements documentation, traceability matrices, process flows, and user guides Identify opportunities to improve business processes, system usability, and customer adoption Contribute to continuous improvement of BA standards, templates, and methodologies Required Qualifications Bachelor's degree in Business, Information Systems, Engineering, Computer Science, or related field (or equivalent experience) 3-5 years of experience as a Business Analyst in a software or technology-driven environment Experience working with complex requirement sets across multiple systems Experience supporting SaaS and/or enterprise software solutions Experience with customer onboarding, training, or enablement activities Strong communication skills with ability to present to both technical and non-technical audiences Strong analytical thinking, attention to detail, and problem-solving abilities Proven ability to manage shifting priorities in fast-paced environments Core Competencies Stakeholder management and facilitation Systems thinking and process analysis Collaborative, adaptable, and solution-oriented mindset Technical Skills Familiarity with Agile/Scrum methodologies and tools (Jira, Azure DevOps, Confluence) Understanding of APIs, system integrations, data flows, and basic software architecture Preferred Qualifications CBAP, CCBA, PMI-PBA, or similar certification Experience working with embedded systems, hardware/software integration, or IoT-enabled solutions Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/13/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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