Locations: Atlanta Austin Boston Brooklyn Chicago Dallas Denver Detroit Durham Houston Miami Minneapolis Nashville New York Philadelphia Pittsburgh Summit Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. What You'll Do Lead IT Architects at BCG Platinion are: Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams. Technical experts. They are critical thinkers and have extensive IT expertise that drives novel solutions routed in complexity. Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown. Change agents. They know how to make change happen across an organization. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize IT best practices. Agile advocates. They are well-versed in agile methodologies and use their expertise to strategically tackle difficult challenges and implement change. Innovative. They are creative thinkers who apply their deep IT architecture expertise to envision novel design patterns for the next generation of technology solutions. Knowledgeable. They have a sophisticated understanding of IT Architecture, acting as a viable resource on teams as both a hands-on practitioner and subject matter expert. Strategic partners. They work closely with senior client stakeholders, including C-level executives, to build hypothesis-driven solutions at the intersection of technology and business. They bridge the gap between IT and business functions, ensuring technology strategies are aligned with organizational goals to solve critical business challenges. What You Are Good At Mobile Technology and Applications Designing end-to-end mobile application architectures for iOS and Android, including native, cross-platform, and hybrid approaches. Defining scalable mobile backend and integration patterns, including API design, authentication, and offline/online synchronization. Architecting secure, high-performance mobile solutions with a strong focus on user experience, reliability, and observability. Integrating mobile apps with enterprise systems, cloud services, and third-party SDKs (e.g., payments, identity, analytics). Embedding mobile security, privacy, and compliance requirements into application design (e.g., secure storage, encryption, identity). Supporting mobile app modernization, platform consolidation, and cloud-native backend evolution. IT Architecture and Solution Design Designing solution, application, and data architecture. Developing feasibility studies, technical concepts, executing technical proofs of concept, and scaling software solutions. Performing technology assessments and implementing IT architectures. Analyzing complex IT application landscapes and status quo for IT architecture optimization. Reviewing technical architecture and code. IT Optimization and Transformation Supporting IT functions during mergers and acquisitions, including the functional and technical transformation of an organization's IT department. Restructuring IT processes and organization. Optimizing the application development processes. Implementation Management and Support Designing work packages/modules in IT implementation projects. Evaluating products, SW packages, and solutions, including comparative studies across organizations' systems (e.g., ERPs, HR systems, Data Analytics). Assessing quality assurance for IT implementation. Communication and Collaboration Crafting compelling narratives, translating complex ideas for both technical and non-technical audiences. Delivering impactful presentations, leading modules, presenting findings, and building consensus with clients. Building collaboration, mentoring teams, and sharing knowledge to drive collective success. Facilitating technical and strategic working sessions and workshops with both client and internal teams. Providing direction on key work items and feedback to other team members. Team Management Manage junior team members by defining and organizing their "module", helping them structure their work and associated analyses. Mentor and coach junior team members by building mutual development agreements and manufacturing opportunities for them to grow and develop along explicitly defined objectives. Provide quality assurance oversight - Review junior team members' output for overall correctness, level of insight, clarity, etc. Promote an overall positive experience for junior staff. Serve as a role model by actively demonstrating and living BCG's Culture and Values. Innovation and Growth Driving innovation, uncovering novel ideas and transformative solutions. Fostering a growth mindset, continuously learning and applying new skills to grow your impact. Building relationships with key clients. Assisting with business development through writing proposals and scoping projects. What You'll Bring Bachelor's degree in information technology, business administration, computer science, information systems, or system controls & engineering or a related field (Master's degree is a plus). 6+ years of technology consulting or software engineering experience with more than 3+ years in architecture discipline. Hands-on experience delivering consumer or enterprise-grade mobile applications at scale. Strong understanding of mobile development ecosystems, release pipelines, and app lifecycle management. Ability to translate business and product requirements into pragmatic mobile architectures that balance speed, quality, and maintainability. Excellent communication and presentation skills, ability to act as a trusted advisor and influence clients and BCG case leadership teams. Outstanding ability to work creatively, autonomously, analytically, in a fast-paced problem-solving environment with a focus on customer and results. Superior technical knowledge, engineering rigor, and creative problem-solving. Ability to explain complex technology topics to senior executives. Extensive technical expertise and knowledge along multiple of the following topics: Cloud technologies, architectures, designing cloud workloads and optimizing cloud footprint (i.e., FinOps). Integration methodologies, design patterns and associated tooling (API and Microservices architecture). Structured and unstructured databases and usage patterns. Data platform architecture and associated patterns (e.g. Data Lake, Data Warehouse, Lakehouse, etc.). Data analytics, AI and GenAI architecture. Application modernization, programming paradigms and approaches (e.g. object-oriented). Mainframe architecture. Process automation approaches and tooling (e.g. DevOps, AIOps). An agile mindset that moves past blockers and a vision to iteratively migrate to the modern set of architecture capabilities with a lens of business benefits/value. Gen AI tool fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response. Willingness to travel to work with clients and BCG teams. At times, this role involves significant travel to client sites. The amount of travel will depend on client needs and nature of projects. Additional info What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG . click apply for full job details
03/04/2026
Full time
Locations: Atlanta Austin Boston Brooklyn Chicago Dallas Denver Detroit Durham Houston Miami Minneapolis Nashville New York Philadelphia Pittsburgh Summit Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. What You'll Do Lead IT Architects at BCG Platinion are: Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams. Technical experts. They are critical thinkers and have extensive IT expertise that drives novel solutions routed in complexity. Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown. Change agents. They know how to make change happen across an organization. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize IT best practices. Agile advocates. They are well-versed in agile methodologies and use their expertise to strategically tackle difficult challenges and implement change. Innovative. They are creative thinkers who apply their deep IT architecture expertise to envision novel design patterns for the next generation of technology solutions. Knowledgeable. They have a sophisticated understanding of IT Architecture, acting as a viable resource on teams as both a hands-on practitioner and subject matter expert. Strategic partners. They work closely with senior client stakeholders, including C-level executives, to build hypothesis-driven solutions at the intersection of technology and business. They bridge the gap between IT and business functions, ensuring technology strategies are aligned with organizational goals to solve critical business challenges. What You Are Good At Mobile Technology and Applications Designing end-to-end mobile application architectures for iOS and Android, including native, cross-platform, and hybrid approaches. Defining scalable mobile backend and integration patterns, including API design, authentication, and offline/online synchronization. Architecting secure, high-performance mobile solutions with a strong focus on user experience, reliability, and observability. Integrating mobile apps with enterprise systems, cloud services, and third-party SDKs (e.g., payments, identity, analytics). Embedding mobile security, privacy, and compliance requirements into application design (e.g., secure storage, encryption, identity). Supporting mobile app modernization, platform consolidation, and cloud-native backend evolution. IT Architecture and Solution Design Designing solution, application, and data architecture. Developing feasibility studies, technical concepts, executing technical proofs of concept, and scaling software solutions. Performing technology assessments and implementing IT architectures. Analyzing complex IT application landscapes and status quo for IT architecture optimization. Reviewing technical architecture and code. IT Optimization and Transformation Supporting IT functions during mergers and acquisitions, including the functional and technical transformation of an organization's IT department. Restructuring IT processes and organization. Optimizing the application development processes. Implementation Management and Support Designing work packages/modules in IT implementation projects. Evaluating products, SW packages, and solutions, including comparative studies across organizations' systems (e.g., ERPs, HR systems, Data Analytics). Assessing quality assurance for IT implementation. Communication and Collaboration Crafting compelling narratives, translating complex ideas for both technical and non-technical audiences. Delivering impactful presentations, leading modules, presenting findings, and building consensus with clients. Building collaboration, mentoring teams, and sharing knowledge to drive collective success. Facilitating technical and strategic working sessions and workshops with both client and internal teams. Providing direction on key work items and feedback to other team members. Team Management Manage junior team members by defining and organizing their "module", helping them structure their work and associated analyses. Mentor and coach junior team members by building mutual development agreements and manufacturing opportunities for them to grow and develop along explicitly defined objectives. Provide quality assurance oversight - Review junior team members' output for overall correctness, level of insight, clarity, etc. Promote an overall positive experience for junior staff. Serve as a role model by actively demonstrating and living BCG's Culture and Values. Innovation and Growth Driving innovation, uncovering novel ideas and transformative solutions. Fostering a growth mindset, continuously learning and applying new skills to grow your impact. Building relationships with key clients. Assisting with business development through writing proposals and scoping projects. What You'll Bring Bachelor's degree in information technology, business administration, computer science, information systems, or system controls & engineering or a related field (Master's degree is a plus). 6+ years of technology consulting or software engineering experience with more than 3+ years in architecture discipline. Hands-on experience delivering consumer or enterprise-grade mobile applications at scale. Strong understanding of mobile development ecosystems, release pipelines, and app lifecycle management. Ability to translate business and product requirements into pragmatic mobile architectures that balance speed, quality, and maintainability. Excellent communication and presentation skills, ability to act as a trusted advisor and influence clients and BCG case leadership teams. Outstanding ability to work creatively, autonomously, analytically, in a fast-paced problem-solving environment with a focus on customer and results. Superior technical knowledge, engineering rigor, and creative problem-solving. Ability to explain complex technology topics to senior executives. Extensive technical expertise and knowledge along multiple of the following topics: Cloud technologies, architectures, designing cloud workloads and optimizing cloud footprint (i.e., FinOps). Integration methodologies, design patterns and associated tooling (API and Microservices architecture). Structured and unstructured databases and usage patterns. Data platform architecture and associated patterns (e.g. Data Lake, Data Warehouse, Lakehouse, etc.). Data analytics, AI and GenAI architecture. Application modernization, programming paradigms and approaches (e.g. object-oriented). Mainframe architecture. Process automation approaches and tooling (e.g. DevOps, AIOps). An agile mindset that moves past blockers and a vision to iteratively migrate to the modern set of architecture capabilities with a lens of business benefits/value. Gen AI tool fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response. Willingness to travel to work with clients and BCG teams. At times, this role involves significant travel to client sites. The amount of travel will depend on client needs and nature of projects. Additional info What We Offer: At BCG, we care about our people, and offer best in class benefits to support you personally and professionally including: An opportunity to work organically across disciplines and across BCG . click apply for full job details
Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time 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:
03/04/2026
Full time
Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Talented Project Engineer willing to travel - GREAT CULTURE, growth, and leadership. This Jobot Job is hosted by: Kellie Hatcher Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $100,000 per year A bit about us: We are a family owned heavy civil contractor based in Arizona urgently seeking an experienced Heavy Civil Project Engineer. Our reputation and success is built upon years of integrity, customer service and our vast knowledge of the industry. We strive to achieve trust among the field to the owners to create long lasting relationships and products we can be proud of. Why join us? Our team values working together toward a common goal through communication, teamwork, and trust. We value you and pay a competitive salary, generous benefits and professional development training. Benefits: Salary: $70,000-$90,000 DOE Annual Bonus 401k with Company Match Medical/Dental/Vision Benefits Paid Vacation, Sick Leave and Holidays Company Vehicle or Allowance Job Details Responsibilities As a Construction Project Engineer, you'll be responsible for all engineering and technical disciplines. You will schedule, plan, forecast, resource and manage all the technical activities aiming at assuring project accuracy and quality from conception to completion. You will utilize technology to track costs, budgets, quantities, CCO's, RFI's, and scheduling. You will oversee the subcontractors and all other aspects of the project(s). Qualifications 2+ years' experience in Heavy Highway, Civil & Sitework construction Four-year technical degree in Construction Management or Engineering Knowledge of public and private works projects Exposure to design-build construction helpful 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:
03/03/2026
Full time
Talented Project Engineer willing to travel - GREAT CULTURE, growth, and leadership. This Jobot Job is hosted by: Kellie Hatcher Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $100,000 per year A bit about us: We are a family owned heavy civil contractor based in Arizona urgently seeking an experienced Heavy Civil Project Engineer. Our reputation and success is built upon years of integrity, customer service and our vast knowledge of the industry. We strive to achieve trust among the field to the owners to create long lasting relationships and products we can be proud of. Why join us? Our team values working together toward a common goal through communication, teamwork, and trust. We value you and pay a competitive salary, generous benefits and professional development training. Benefits: Salary: $70,000-$90,000 DOE Annual Bonus 401k with Company Match Medical/Dental/Vision Benefits Paid Vacation, Sick Leave and Holidays Company Vehicle or Allowance Job Details Responsibilities As a Construction Project Engineer, you'll be responsible for all engineering and technical disciplines. You will schedule, plan, forecast, resource and manage all the technical activities aiming at assuring project accuracy and quality from conception to completion. You will utilize technology to track costs, budgets, quantities, CCO's, RFI's, and scheduling. You will oversee the subcontractors and all other aspects of the project(s). Qualifications 2+ years' experience in Heavy Highway, Civil & Sitework construction Four-year technical degree in Construction Management or Engineering Knowledge of public and private works projects Exposure to design-build construction helpful 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:
Fully remote in AI Security This Jobot Job is hosted by: Garrett Mathison Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: We are a rapid growth start-up helping enterprise clients ensure the security of their AI Agents. Why join us? We offer the opportunity to work on cutting-edge technology with full benefits, a remote work environment and a team of highly skilled engineers. Job Details We are seeking a highly skilled and motivated Rust Backend Engineer to join our dynamic team. This is a full-time permanent position in the AI Security space that offers an exciting opportunity to work on cutting-edge technologies. The successful candidate will be responsible for developing and maintaining robust, scalable software solutions using Rust programming language. You will work closely with our team of talented engineers to design and implement high-quality software solutions, ensuring system consistency and improving customer satisfaction. Responsibilities: 1. Design, develop, and maintain efficient, reusable, and reliable Rust code. 2. Integration of user-facing elements developed by front-end developers with server-side logic. 3. Identify bottlenecks and bugs, and devise solutions to these problems. 4. Work collaboratively with cross-functional teams to understand end-user requirements, formulate use cases, and translate them into pragmatic and effective technical solutions. 5. Deploy applications on GCP using technologies such as Compute Engine and Cloud Functions. 6. Use Terraform for infrastructure as code to automate and manage infrastructure. 7. Design and implement RESTful APIs. 8. Implement and manage Kubernetes clusters for container orchestration. 9. Maintain code integrity and organization, ensuring the best possible performance, quality, and responsiveness of the applications. Qualifications: 1. Bachelor's degree in Computer Science, Engineering, or a related field. 2. 5+ years of experience as a Rust Backend Engineer or similar role. 3. Proficiency in Rust programming language. 4. Strong experience with Google Cloud Platform (GCP), Compute Engine, and Cloud Functions. 5. Solid experience with Terraform and infrastructure as code. 6. Proficiency in designing and implementing RESTful APIs. 7. Experience with Kubernetes and container orchestration. 8. Strong understanding of data structures, system design, and algorithms. 9. Excellent problem-solving skills and attention to detail. 10. Ability to work independently and as part of a team. 11. Excellent communication and interpersonal skills. If you are passionate about technology and enjoy solving complex problems, this is the perfect opportunity for you. We offer a competitive salary and benefits package, along with the chance to work in a dynamic and innovative environment. Join us and contribute to shaping the future of the Tech Services industry. 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:
03/03/2026
Full time
Fully remote in AI Security This Jobot Job is hosted by: Garrett Mathison Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: We are a rapid growth start-up helping enterprise clients ensure the security of their AI Agents. Why join us? We offer the opportunity to work on cutting-edge technology with full benefits, a remote work environment and a team of highly skilled engineers. Job Details We are seeking a highly skilled and motivated Rust Backend Engineer to join our dynamic team. This is a full-time permanent position in the AI Security space that offers an exciting opportunity to work on cutting-edge technologies. The successful candidate will be responsible for developing and maintaining robust, scalable software solutions using Rust programming language. You will work closely with our team of talented engineers to design and implement high-quality software solutions, ensuring system consistency and improving customer satisfaction. Responsibilities: 1. Design, develop, and maintain efficient, reusable, and reliable Rust code. 2. Integration of user-facing elements developed by front-end developers with server-side logic. 3. Identify bottlenecks and bugs, and devise solutions to these problems. 4. Work collaboratively with cross-functional teams to understand end-user requirements, formulate use cases, and translate them into pragmatic and effective technical solutions. 5. Deploy applications on GCP using technologies such as Compute Engine and Cloud Functions. 6. Use Terraform for infrastructure as code to automate and manage infrastructure. 7. Design and implement RESTful APIs. 8. Implement and manage Kubernetes clusters for container orchestration. 9. Maintain code integrity and organization, ensuring the best possible performance, quality, and responsiveness of the applications. Qualifications: 1. Bachelor's degree in Computer Science, Engineering, or a related field. 2. 5+ years of experience as a Rust Backend Engineer or similar role. 3. Proficiency in Rust programming language. 4. Strong experience with Google Cloud Platform (GCP), Compute Engine, and Cloud Functions. 5. Solid experience with Terraform and infrastructure as code. 6. Proficiency in designing and implementing RESTful APIs. 7. Experience with Kubernetes and container orchestration. 8. Strong understanding of data structures, system design, and algorithms. 9. Excellent problem-solving skills and attention to detail. 10. Ability to work independently and as part of a team. 11. Excellent communication and interpersonal skills. If you are passionate about technology and enjoy solving complex problems, this is the perfect opportunity for you. We offer a competitive salary and benefits package, along with the chance to work in a dynamic and innovative environment. Join us and contribute to shaping the future of the Tech Services industry. 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:
A 15 year old consumer site that still acts like a startup but is stable and growing! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: We build software that supports organizations running high-volume, schedule-driven programs where reliability, ease of use, and scale matter. Our platform is used globally by operators who rely on mobile technology to manage day-to-day operations, engage customers, and keep their businesses running smoothly. We are a product-led company that values long-term thinking, technical craftsmanship, and practical problem solving. Growth has been steady and intentional, with a strong focus on stability and customer impact rather than hype. The engineering team works closely with product and design to ship meaningful improvements, not just features. Why join us? This role offers the chance to own and shape core mobile experiences used daily by a large, active user base. You'll work in an environment that values clean architecture, thoughtful tradeoffs, and code that lasts. Engineers here are trusted to make decisions, mentor others, and influence product direction without unnecessary process overhead. The company prioritizes sustainable pace, flexibility, and long-term growth over short-term crunch. If you enjoy building native mobile applications that directly impact real businesses, this is a place where your work will be felt. Job Details Design, build, and maintain native mobile applications on iOS Write high-quality, testable, and maintainable code using modern mobile frameworks Collaborate with product, design, and backend teams to deliver new functionality Lead technical decisions around architecture, performance, and security Improve existing features with a focus on usability and reliability Mentor junior engineers and provide thoughtful code reviews Participate in planning, estimation, and technical discovery Contribute to CI/CD pipelines and release processes Document solutions and communicate technical concepts clearly Take ownership of features from concept through production support Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
A 15 year old consumer site that still acts like a startup but is stable and growing! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: We build software that supports organizations running high-volume, schedule-driven programs where reliability, ease of use, and scale matter. Our platform is used globally by operators who rely on mobile technology to manage day-to-day operations, engage customers, and keep their businesses running smoothly. We are a product-led company that values long-term thinking, technical craftsmanship, and practical problem solving. Growth has been steady and intentional, with a strong focus on stability and customer impact rather than hype. The engineering team works closely with product and design to ship meaningful improvements, not just features. Why join us? This role offers the chance to own and shape core mobile experiences used daily by a large, active user base. You'll work in an environment that values clean architecture, thoughtful tradeoffs, and code that lasts. Engineers here are trusted to make decisions, mentor others, and influence product direction without unnecessary process overhead. The company prioritizes sustainable pace, flexibility, and long-term growth over short-term crunch. If you enjoy building native mobile applications that directly impact real businesses, this is a place where your work will be felt. Job Details Design, build, and maintain native mobile applications on iOS Write high-quality, testable, and maintainable code using modern mobile frameworks Collaborate with product, design, and backend teams to deliver new functionality Lead technical decisions around architecture, performance, and security Improve existing features with a focus on usability and reliability Mentor junior engineers and provide thoughtful code reviews Participate in planning, estimation, and technical discovery Contribute to CI/CD pipelines and release processes Document solutions and communicate technical concepts clearly Take ownership of features from concept through production support Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
100% remote role working at a Series A AI startup! This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $175,000 - $210,000 per year A bit about us: Location: 100% remote any time zone in the United States Compensation: $175-210K base salary + equity Employment Type: Full-time We are working with a Series A LegalTech AI startup that's making major strides in modernizing enterprise law firms' deal processes through powerful backend infrastructure and cutting-edge AI integration. With over $1M ARR in the last five months, Series A funding, and a team of 20 (including 9 engineers), they're now hiring a Senior Backend Engineer to expand their core product capabilities. They are looking for candidates who bring AI / ML Ops / LLM experience to the table (at least worked with something in this space). Tech Stack: Golang, Postgres, GCP, Kubernetes, React, Temporal, GitOps, ArgoCD, OpenAI, Anthropic Why join us? Remote work setup with an internationally distributed team Work on greenfield projects with wide scope and autonomy Ship products used directly by enterprise customers Join a senior, collaborative engineering team focused on pragmatic execution Chance to work in a Series A funded startup on the ground level with high level of agency and ownership Job Details Ideal Background: 4-8 years of experience as a backend or backend leaning fullstack engineer Experience with Golang strongly preferred, open to Java/C/C++/C#/Rust as well Experience with LLMs / AI Agents or a true passion/interest to get in this space Not a Fit If: Only large-company experience with no startup/small team exposure Consulting background Bootcamp-only education or less than 4 years experience No interest in Gen AI / LLMs, etc Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
100% remote role working at a Series A AI startup! This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $175,000 - $210,000 per year A bit about us: Location: 100% remote any time zone in the United States Compensation: $175-210K base salary + equity Employment Type: Full-time We are working with a Series A LegalTech AI startup that's making major strides in modernizing enterprise law firms' deal processes through powerful backend infrastructure and cutting-edge AI integration. With over $1M ARR in the last five months, Series A funding, and a team of 20 (including 9 engineers), they're now hiring a Senior Backend Engineer to expand their core product capabilities. They are looking for candidates who bring AI / ML Ops / LLM experience to the table (at least worked with something in this space). Tech Stack: Golang, Postgres, GCP, Kubernetes, React, Temporal, GitOps, ArgoCD, OpenAI, Anthropic Why join us? Remote work setup with an internationally distributed team Work on greenfield projects with wide scope and autonomy Ship products used directly by enterprise customers Join a senior, collaborative engineering team focused on pragmatic execution Chance to work in a Series A funded startup on the ground level with high level of agency and ownership Job Details Ideal Background: 4-8 years of experience as a backend or backend leaning fullstack engineer Experience with Golang strongly preferred, open to Java/C/C++/C#/Rust as well Experience with LLMs / AI Agents or a true passion/interest to get in this space Not a Fit If: Only large-company experience with no startup/small team exposure Consulting background Bootcamp-only education or less than 4 years experience No interest in Gen AI / LLMs, etc Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Hybrid Remote Candidates must be commutable distance from San Francisco / Leading Developer Platform for Zero-Knowledge Applications This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are a leading developer platform for zero-knowledge applications. We are on the lookout for a passionate and skilled Backend Engineer with a strong command over Rust to join our dynamic technology team. In this role, you will be responsible for designing, developing, and maintaining our cutting-edge blockchain-based applications. You will also be instrumental in creating robust and secure APIs, and ensuring the efficient functioning of our backend operations. This position demands a high degree of technical expertise, a deep understanding of blockchain technology, and a strong commitment to quality. Why join us? Monthly budget for expenses (home office setup & supplies, transportation, fitness & personal well-being, continued learning, etc.). Comprehensive, top-tier healthcare coverage. Flexible vacation policy. Ability to attend major industry conferences and global events at the company's expense. Regular team off-sites and retreats. Job Details Responsibilities: 1. Design, develop, and maintain high-performance, highly scalable blockchain-based applications using Rust. 2. Collaborate with our frontend team to build innovative, user-friendly interfaces. 3. Develop robust and secure APIs to support backend functionalities. 4. Troubleshoot and resolve technical issues promptly and efficiently. 5. Participate in code reviews to ensure code quality and distribute knowledge. 6. Stay up-to-date with the latest industry trends, technologies, and developments in the field of blockchain and Rust. 7. Contribute to architectural decisions and implement new features based on the evolving needs of our business. 8. Collaborate with cross-functional teams to define, design, and ship new features. 9. Ensure the performance, quality, and responsiveness of applications. 10. Identify and correct bottlenecks and fix bugs. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field. 2. Minimum 5 years of experience as a Backend Engineer. 3. Proficient in Rust with a good understanding of its syntax and features. 4. Solid experience with blockchain technology and understanding of its core principles. 5. Proven experience in API design and development. 6. Strong knowledge of data structures, system design, and algorithms. 7. Excellent problem-solving skills with a knack for complex troubleshooting. 8. Familiarity with professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 9. Ability to work independently and as part of a team. 10. Excellent communication skills, both verbal and written. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
Hybrid Remote Candidates must be commutable distance from San Francisco / Leading Developer Platform for Zero-Knowledge Applications This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are a leading developer platform for zero-knowledge applications. We are on the lookout for a passionate and skilled Backend Engineer with a strong command over Rust to join our dynamic technology team. In this role, you will be responsible for designing, developing, and maintaining our cutting-edge blockchain-based applications. You will also be instrumental in creating robust and secure APIs, and ensuring the efficient functioning of our backend operations. This position demands a high degree of technical expertise, a deep understanding of blockchain technology, and a strong commitment to quality. Why join us? Monthly budget for expenses (home office setup & supplies, transportation, fitness & personal well-being, continued learning, etc.). Comprehensive, top-tier healthcare coverage. Flexible vacation policy. Ability to attend major industry conferences and global events at the company's expense. Regular team off-sites and retreats. Job Details Responsibilities: 1. Design, develop, and maintain high-performance, highly scalable blockchain-based applications using Rust. 2. Collaborate with our frontend team to build innovative, user-friendly interfaces. 3. Develop robust and secure APIs to support backend functionalities. 4. Troubleshoot and resolve technical issues promptly and efficiently. 5. Participate in code reviews to ensure code quality and distribute knowledge. 6. Stay up-to-date with the latest industry trends, technologies, and developments in the field of blockchain and Rust. 7. Contribute to architectural decisions and implement new features based on the evolving needs of our business. 8. Collaborate with cross-functional teams to define, design, and ship new features. 9. Ensure the performance, quality, and responsiveness of applications. 10. Identify and correct bottlenecks and fix bugs. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field. 2. Minimum 5 years of experience as a Backend Engineer. 3. Proficient in Rust with a good understanding of its syntax and features. 4. Solid experience with blockchain technology and understanding of its core principles. 5. Proven experience in API design and development. 6. Strong knowledge of data structures, system design, and algorithms. 7. Excellent problem-solving skills with a knack for complex troubleshooting. 8. Familiarity with professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 9. Ability to work independently and as part of a team. 10. Excellent communication skills, both verbal and written. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Senior Software Engineer / Senior Nix Developer Needed for Well-Funded Tech Startup! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $215,000 per year A bit about us: We are a well-funded tech startup that is on the lookout for a talented Senior Software Developer / Principal Software Engineer! Why join us? As a Staff Software Engineer / Lead Software Engineer in our company, we are able to offer: A competitive base salary! (we are interviewing candidates of all levels at a wide range of salaries) Attractive equity! 401k! Medical, dental and vision coverage! PTO/vacation! Job Details As a Senior Full Stack Engineer / Senior Backend Developer on our team, we are looking for: Computer Science degree strongly preferred Willingness to do a code exercise as an initial step of the hiring process Willingness to work onsite 5 days a week in the Tysons, VA area Strong fullstack / back end background Nix experience Experience with any of the following would be ideal: Rust, TypeScript and C/C++ Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
Senior Software Engineer / Senior Nix Developer Needed for Well-Funded Tech Startup! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $215,000 per year A bit about us: We are a well-funded tech startup that is on the lookout for a talented Senior Software Developer / Principal Software Engineer! Why join us? As a Staff Software Engineer / Lead Software Engineer in our company, we are able to offer: A competitive base salary! (we are interviewing candidates of all levels at a wide range of salaries) Attractive equity! 401k! Medical, dental and vision coverage! PTO/vacation! Job Details As a Senior Full Stack Engineer / Senior Backend Developer on our team, we are looking for: Computer Science degree strongly preferred Willingness to do a code exercise as an initial step of the hiring process Willingness to work onsite 5 days a week in the Tysons, VA area Strong fullstack / back end background Nix experience Experience with any of the following would be ideal: Rust, TypeScript and C/C++ Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $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 "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $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 "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Senior Software Engineer / Senior Rust Developer Needed for Well-Funded Tech Startup! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $215,000 per year A bit about us: We are a well-funded tech startup that is on the lookout for a talented Senior Software Developer / Principal Software Engineer! Why join us? As a Staff Software Engineer / Lead Software Engineer in our company, we are able to offer: A competitive base salary! (we are interviewing candidates of all levels at a wide range of salaries) Attractive equity! 401k! Medical, dental and vision coverage! PTO/vacation! Job Details As a Senior Full Stack Engineer / Senior Backend Developer on our team, we are looking for: Computer Science degree strongly preferred Willingness to do a code exercise as an initial step of the hiring process Willingness to work onsite 5 days a week in the Tysons, VA area Strong fullstack / back end background Rust experience Experience with any of the following would be ideal: Nix, TypeScript and C/C++ Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/01/2026
Full time
Senior Software Engineer / Senior Rust Developer Needed for Well-Funded Tech Startup! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $215,000 per year A bit about us: We are a well-funded tech startup that is on the lookout for a talented Senior Software Developer / Principal Software Engineer! Why join us? As a Staff Software Engineer / Lead Software Engineer in our company, we are able to offer: A competitive base salary! (we are interviewing candidates of all levels at a wide range of salaries) Attractive equity! 401k! Medical, dental and vision coverage! PTO/vacation! Job Details As a Senior Full Stack Engineer / Senior Backend Developer on our team, we are looking for: Computer Science degree strongly preferred Willingness to do a code exercise as an initial step of the hiring process Willingness to work onsite 5 days a week in the Tysons, VA area Strong fullstack / back end background Rust experience Experience with any of the following would be ideal: Nix, TypeScript and C/C++ Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
(REMOTE) Family Law Attorney Opportunity Rapidly Growing Firm! Lucrative Bonus Opportunity! This Jobot Job is hosted by: William Zaranka Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $170,000 per year A bit about us: We have had extraordinary success working predominantly online in dispersed locations. Our model works particularly well for lawyers with a strong client following, allowing them to take home significantly more of their fee income - a marked contrast to the traditional model, where the lawyer is paid a salary with the hope of a year-end bonus. For those attorneys newer to the field, we provide leads and the guidance/training to turn those leads into retainers and growing caseloads. Why join us? 401(k) matching Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance Job Details Our esteemed law firm is seeking a seasoned Family Law Attorney to join our dynamic team. This is a permanent, full-time position that will be conducted remotely, providing the successful candidate with the flexibility to work from home. The ideal candidate will have a wealth of experience in family law, with a particular focus on mediation, child support, negotiation, and other related aspects. With a minimum of 4 years of experience in the field, the successful candidate will be adept at handling complex and sensitive cases with professionalism, empathy, and integrity. Responsibilities: 1. Represent clients in court or before government agencies, presenting evidence to defend clients or prosecute defendants in criminal or civil litigation. 2. Select jurors, argue motions, meet with judges, and question witnesses during the course of a trial. 3. Study and interpret laws, rulings, and regulations for individuals and businesses. 4. Present and summarize cases to judges and juries. 5. Prepare legal briefs and opinions, and file appeals in state and federal courts of appeal. 6. Analyze the probable outcomes of cases, using knowledge of legal precedents. 7. Evaluate findings and develop strategies and arguments in preparation for presentation of cases. 8. Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations. Qualifications: 1. Juris Doctorate degree from an accredited law school. 2. Minimum of 4 years of experience in family law practice. 3. Strong experience in mediation, child support, negotiation, and other aspects of family law. 4. Exceptional interpersonal and communication skills, with a proven ability to maintain professionalism under pressure. 5. Excellent problem-solving abilities and a detail-oriented approach to work. 6. Proven track record of representing clients with integrity, empathy, and professionalism. 7. Ability to manage multiple cases simultaneously and to work independently in a remote environment. 8. Active membership in the state bar association. 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:
02/25/2026
Full time
(REMOTE) Family Law Attorney Opportunity Rapidly Growing Firm! Lucrative Bonus Opportunity! This Jobot Job is hosted by: William Zaranka Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $170,000 per year A bit about us: We have had extraordinary success working predominantly online in dispersed locations. Our model works particularly well for lawyers with a strong client following, allowing them to take home significantly more of their fee income - a marked contrast to the traditional model, where the lawyer is paid a salary with the hope of a year-end bonus. For those attorneys newer to the field, we provide leads and the guidance/training to turn those leads into retainers and growing caseloads. Why join us? 401(k) matching Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance Job Details Our esteemed law firm is seeking a seasoned Family Law Attorney to join our dynamic team. This is a permanent, full-time position that will be conducted remotely, providing the successful candidate with the flexibility to work from home. The ideal candidate will have a wealth of experience in family law, with a particular focus on mediation, child support, negotiation, and other related aspects. With a minimum of 4 years of experience in the field, the successful candidate will be adept at handling complex and sensitive cases with professionalism, empathy, and integrity. Responsibilities: 1. Represent clients in court or before government agencies, presenting evidence to defend clients or prosecute defendants in criminal or civil litigation. 2. Select jurors, argue motions, meet with judges, and question witnesses during the course of a trial. 3. Study and interpret laws, rulings, and regulations for individuals and businesses. 4. Present and summarize cases to judges and juries. 5. Prepare legal briefs and opinions, and file appeals in state and federal courts of appeal. 6. Analyze the probable outcomes of cases, using knowledge of legal precedents. 7. Evaluate findings and develop strategies and arguments in preparation for presentation of cases. 8. Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations. Qualifications: 1. Juris Doctorate degree from an accredited law school. 2. Minimum of 4 years of experience in family law practice. 3. Strong experience in mediation, child support, negotiation, and other aspects of family law. 4. Exceptional interpersonal and communication skills, with a proven ability to maintain professionalism under pressure. 5. Excellent problem-solving abilities and a detail-oriented approach to work. 6. Proven track record of representing clients with integrity, empathy, and professionalism. 7. Ability to manage multiple cases simultaneously and to work independently in a remote environment. 8. Active membership in the state bar association. 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:
Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time 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:
02/25/2026
Full time
Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
02/25/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
02/25/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
02/25/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
02/25/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
02/25/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) 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 Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more 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 Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects 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:
