Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOps Engineer to support our Air Proprietary 2 Mission Systems team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing, configuring, and maintaining the Mission Systems (MS) software development environments across a variety of security levels. This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code (IaC) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc) Mentors and advises junior teammates and development teams on best practices in DevSecOps, providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6+ years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5+ years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3+ years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code (IaC) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level (Level 4): $136,850 - $185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/30/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOps Engineer to support our Air Proprietary 2 Mission Systems team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing, configuring, and maintaining the Mission Systems (MS) software development environments across a variety of security levels. This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code (IaC) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc) Mentors and advises junior teammates and development teams on best practices in DevSecOps, providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6+ years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5+ years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3+ years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code (IaC) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level (Level 4): $136,850 - $185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
REMOTE opportunity, Excellent Benefits, Cutting Edge Projects, and MORE! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $110,000 - $140,000 per year A bit about us: Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI? We're a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system. As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You'll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects. This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities. Why join us? Remote Culture - work from anywhere in the US! Excellent Medical, Dental, and Vision 401k with company match PTO Paid Sick Leave Paid Holidays Parental Leave Tuition Reimbursement Plan Job Details Key Responsibilities Develop, test, and maintain scalable data pipelines and ETL processes. Collaborate on the design of system architecture and data flow strategies. Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts. Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis. Convert complex business needs into clear technical plans and data-driven solutions. Participate in peer code reviews and share best practices across the engineering team. Produce and maintain documentation related to data workflows, architecture, and models. Create custom reports and visualizations for both internal stakeholders and external partners. Assist in managing and troubleshooting a large volume of data pipelines. Work alongside software engineers to ensure data consistency within applications. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related discipline; equivalent experience considered. At least 3 years of professional experience in data engineering or related fields. Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks. Solid experience in data integration, ETL development, and building data warehouses. Familiarity with data governance standards and security protocols, especially in healthcare settings. Strong analytical skills with the ability to turn raw data into actionable insight. Preferred Experience Comfortable leading junior engineers or interested in mentoring. Knowledge of healthcare datasets and industry-specific data protections. Prior experience with cloud platforms, especially Microsoft Azure. Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate. 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:
04/30/2026
Full time
REMOTE opportunity, Excellent Benefits, Cutting Edge Projects, and MORE! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $110,000 - $140,000 per year A bit about us: Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI? We're a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system. As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You'll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects. This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities. Why join us? Remote Culture - work from anywhere in the US! Excellent Medical, Dental, and Vision 401k with company match PTO Paid Sick Leave Paid Holidays Parental Leave Tuition Reimbursement Plan Job Details Key Responsibilities Develop, test, and maintain scalable data pipelines and ETL processes. Collaborate on the design of system architecture and data flow strategies. Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts. Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis. Convert complex business needs into clear technical plans and data-driven solutions. Participate in peer code reviews and share best practices across the engineering team. Produce and maintain documentation related to data workflows, architecture, and models. Create custom reports and visualizations for both internal stakeholders and external partners. Assist in managing and troubleshooting a large volume of data pipelines. Work alongside software engineers to ensure data consistency within applications. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related discipline; equivalent experience considered. At least 3 years of professional experience in data engineering or related fields. Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks. Solid experience in data integration, ETL development, and building data warehouses. Familiarity with data governance standards and security protocols, especially in healthcare settings. Strong analytical skills with the ability to turn raw data into actionable insight. Preferred Experience Comfortable leading junior engineers or interested in mentoring. Knowledge of healthcare datasets and industry-specific data protections. Prior experience with cloud platforms, especially Microsoft Azure. Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate. 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:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/30/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
04/30/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "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:
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/30/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DevSecOp s Engineer to support our Air Proprietary 2 Mission Systems team l o cated in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Mission Systems Senior DevSecOps Engineer will be responsible for establishing , configuring , and maintaining the Mission Systems (MS) software development environmen t s across a varie t y of security levels . This role serves as the primary DevSecOps point of contact for Mission Systems and will coordinate closely with the Digital Engineering Environment team. Position Responsibilities: Leads the development and management of the software development environment roadmap and vision Leads the deployment and configuration of technologies and tools used in software development, including build servers, version control systems, CI/CD pipelines and automated testing frameworks Leads the establishment, configuration, and maintenance of MS software development environments across multiple networks - which includes any tools required for developing, building, and releasing software Leads the management and maintenance of cloud-based and on premises infrastructures Leads the creation and maintenance of Infrastructure as Code ( IaC ) and automation to simplify infrastructure administration and software deployment Establishes and maintains development and production environments Ensure compliance and policy enforcement for applicable design practices and industry standards Leads the creation of best practices/methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting Leads software development tool administration, maintenance, version upgrades, patch management, and integration between the tools (Jira, Gitlab, Artifactory, Confluence, SonarQube, etc ) Mentors and advises junior teammates and development teams on best practices in DevSecOps , providing technical leadership and fostering a culture of knowledge sharing and continuous learning Coordinate across the Mission Systems solution team, the Digital Engineering Environment team and the Boeing Software Factory Enterprise team. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of experience with C, C++, C#, Java, or Python 6 + years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices 5 + years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations 3 + years of experience understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code ( IaC ) 3+ years of experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area DevSecOps Knowledge of cybersecurity policies and regulations, ability to work across these areas to formulate solutions Experience with secure software development environments at various levels of security Experience with Linux Ability to obtain Security+ certification Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations . Summary pay range for Senior Level (Level 4): $ 136 ,850 - $ 185,150 Applications for this position will be accepted until May. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Bitsoft International, Inc
King Of Prussia, Pennsylvania
Job Title: AI Engineer Generative AI / AWS Bedrock Engineer Location: 100% Remote (EST required and Client Location: King of Prussia, PA 19406) Duration: 6 12 Month Contract-to-Hire Opportunity with the potential for full-time conversion Rate: $Market/Hour They would ideally like to convert the candidate to full-time eventually, but they are still open to considering strong H1B candidates as well. Job Description: We are seeking a skilled AI Engineer with strong hands-on experience in Generative AI solutions using AWS Bedrock. The ideal candidate will have 3 4 years of practical experience designing, developing, and deploying GenAI applications leveraging foundation models, LLM integrations, prompt engineering, and AI-powered workflows in AWS environments. This role requires real-world implementation experience with AWS Bedrock not just theoretical exposure. Candidates should be able to demonstrate production-level work involving Bedrock services, model integration, orchestration, and scalable AI application development. The engineer will collaborate with cross-functional teams to build intelligent automation solutions, conversational AI systems, enterprise copilots, document intelligence platforms, and AI-driven business applications. Key Responsibilities: Design and develop Generative AI applications using AWS Bedrock Integrate foundation models and LLMs into enterprise applications Build scalable AI workflows, RAG pipelines, and intelligent assistants Implement prompt engineering and model optimization strategies Develop APIs and backend services for AI-driven applications Work with vector databases, embeddings, and semantic search solutions Collaborate with cloud, DevOps, and data engineering teams Deploy and monitor AI solutions in AWS environments Ensure security, scalability, and performance optimization for GenAI systems Required Skills: 3 4 years of hands-on experience in Generative AI engineering Strong real-world experience with AWS Bedrock (mandatory) Experience integrating LLMs and foundation models Python programming expertise Experience with LangChain, RAG architecture, embeddings, and vector databases Strong AWS cloud experience REST API and microservices development experience Knowledge of prompt engineering and AI orchestration frameworks Experience with scalable cloud-native architecture Preferred Skills: Experience with Amazon Titan, Claude, Llama, or other Bedrock-supported models Knowledge of AI governance and responsible AI practices Experience with Kubernetes, Docker, and CI/CD pipelines Exposure to MLOps workflows
04/30/2026
Job Title: AI Engineer Generative AI / AWS Bedrock Engineer Location: 100% Remote (EST required and Client Location: King of Prussia, PA 19406) Duration: 6 12 Month Contract-to-Hire Opportunity with the potential for full-time conversion Rate: $Market/Hour They would ideally like to convert the candidate to full-time eventually, but they are still open to considering strong H1B candidates as well. Job Description: We are seeking a skilled AI Engineer with strong hands-on experience in Generative AI solutions using AWS Bedrock. The ideal candidate will have 3 4 years of practical experience designing, developing, and deploying GenAI applications leveraging foundation models, LLM integrations, prompt engineering, and AI-powered workflows in AWS environments. This role requires real-world implementation experience with AWS Bedrock not just theoretical exposure. Candidates should be able to demonstrate production-level work involving Bedrock services, model integration, orchestration, and scalable AI application development. The engineer will collaborate with cross-functional teams to build intelligent automation solutions, conversational AI systems, enterprise copilots, document intelligence platforms, and AI-driven business applications. Key Responsibilities: Design and develop Generative AI applications using AWS Bedrock Integrate foundation models and LLMs into enterprise applications Build scalable AI workflows, RAG pipelines, and intelligent assistants Implement prompt engineering and model optimization strategies Develop APIs and backend services for AI-driven applications Work with vector databases, embeddings, and semantic search solutions Collaborate with cloud, DevOps, and data engineering teams Deploy and monitor AI solutions in AWS environments Ensure security, scalability, and performance optimization for GenAI systems Required Skills: 3 4 years of hands-on experience in Generative AI engineering Strong real-world experience with AWS Bedrock (mandatory) Experience integrating LLMs and foundation models Python programming expertise Experience with LangChain, RAG architecture, embeddings, and vector databases Strong AWS cloud experience REST API and microservices development experience Knowledge of prompt engineering and AI orchestration frameworks Experience with scalable cloud-native architecture Preferred Skills: Experience with Amazon Titan, Claude, Llama, or other Bedrock-supported models Knowledge of AI governance and responsible AI practices Experience with Kubernetes, Docker, and CI/CD pipelines Exposure to MLOps workflows
2. Write production-quality code and build core network protocol stacks supporting signaling and mobility management using 4G/5G RAN protocols such as RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, and GTP 3. Design and code software for 2G, LTE, and 5G network protocols, ensuring compliance with 3GPP specifications while managing 4G/5G Core and RAN components including eNB/gNB CU/DU, MME, SGW, and PGW 4. Develop and debug systems-level software for authentication and O&M functions in a distributed environment utilizing Cloud-Native Architecture tools like Kubernetes, Docker, Ansible, and YAML 5. Build automated software testing frameworks for protocol conformance and end-to-end performance validation, incorporating DevOps practices, CI/CD pipelines, and microservices architecture 6. Analyze and resolve software performance issues across protocol layers using gdb, Valgrind, Wireshark, and tcpdump, while managing telecom protocols including SIP, IMS, VoLTE, VoIP, Diameter, and SS7/SIGTRAN 7. Collaborate with engineering teams to integrate protocol software with radio components, implementing Observability and Messaging solutions such as Prometheus, ELK, Grafana, and Kafka to ensure reliable deployment. 8. Evolve networking solutions by contributing to internal libraries and leveraging Modern AI Systems, including LLM-based automation, RAG, and MCP to enhance software engineering practices. Requires five (5) years of (post degree, progressive) experience in the job offered or a related occupation. Experience must have included: a. Programming & Scripting: C++, Python, Shell Script. b. Telecom Protocols: SIP, IMS, VoLTE, VoIP, Diameter, RCS, SS7/SIGTRAN. c. 4G/5G RAN Protocols: RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, GTP. d. 4G/5G Core & RAN: eNB/gNB CU/DU, MME, SGW, PGW. e. Cloud-Native Architecture: Kubernetes, Docker, Ansible, YAML, Envoy/Istio. f. Observability & Messaging: Prometheus, ELK, Grafana, Kafka. g. DevOps & Distributed Systems: CI/CD, microservices, gRPC. h. AI/ML & Modern AI Systems: RAG, MCP, LLM-based automation, TensorFlow, Scikit-learn. Bachelors degree or foreign educational equivalent in Electronics Engineering, Electrical Engineering, Computer Science or a related field Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
04/30/2026
2. Write production-quality code and build core network protocol stacks supporting signaling and mobility management using 4G/5G RAN protocols such as RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, and GTP 3. Design and code software for 2G, LTE, and 5G network protocols, ensuring compliance with 3GPP specifications while managing 4G/5G Core and RAN components including eNB/gNB CU/DU, MME, SGW, and PGW 4. Develop and debug systems-level software for authentication and O&M functions in a distributed environment utilizing Cloud-Native Architecture tools like Kubernetes, Docker, Ansible, and YAML 5. Build automated software testing frameworks for protocol conformance and end-to-end performance validation, incorporating DevOps practices, CI/CD pipelines, and microservices architecture 6. Analyze and resolve software performance issues across protocol layers using gdb, Valgrind, Wireshark, and tcpdump, while managing telecom protocols including SIP, IMS, VoLTE, VoIP, Diameter, and SS7/SIGTRAN 7. Collaborate with engineering teams to integrate protocol software with radio components, implementing Observability and Messaging solutions such as Prometheus, ELK, Grafana, and Kafka to ensure reliable deployment. 8. Evolve networking solutions by contributing to internal libraries and leveraging Modern AI Systems, including LLM-based automation, RAG, and MCP to enhance software engineering practices. Requires five (5) years of (post degree, progressive) experience in the job offered or a related occupation. Experience must have included: a. Programming & Scripting: C++, Python, Shell Script. b. Telecom Protocols: SIP, IMS, VoLTE, VoIP, Diameter, RCS, SS7/SIGTRAN. c. 4G/5G RAN Protocols: RRC, PDCP, RLC, MAC, SCTP, S1AP, NAS, X2AP, GTP. d. 4G/5G Core & RAN: eNB/gNB CU/DU, MME, SGW, PGW. e. Cloud-Native Architecture: Kubernetes, Docker, Ansible, YAML, Envoy/Istio. f. Observability & Messaging: Prometheus, ELK, Grafana, Kafka. g. DevOps & Distributed Systems: CI/CD, microservices, gRPC. h. AI/ML & Modern AI Systems: RAG, MCP, LLM-based automation, TensorFlow, Scikit-learn. Bachelors degree or foreign educational equivalent in Electronics Engineering, Electrical Engineering, Computer Science or a related field Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
ServiceNow Business Analyst Chandler, AZ - Remote only Local Preferred - Candidate must be staying in PST/MST time zone only Skills: ServiceNow Business Analyst, ServiceNow implementation, Process Automation, ITSM, ITOM, CSM, CMDB, ITIL, ServiceNow Certified System Administrator (CSA) Job Description: As a ServiceNow Business Analyst, you will act as a liaison between business stakeholders and technical teams to ensure the successful implementation and optimization of ServiceNow solutions. You will be responsible for gathering, analyzing, and documenting business requirements and working with development and implementation teams to translate these into technical solutions that meet business needs. Key Responsibilities: Requirements Gathering & Analysis: Collaborate with business stakeholders to understand their needs and document detailed business requirements for ServiceNow solutions, including ITSM, ITOM, CSM, CMDB, and other ServiceNow modules. Business Process Mapping: Analyze and map existing business processes, identify areas for improvement, and propose streamlined workflows that leverage ServiceNow functionality. Solution Design: Work closely with ServiceNow developers and architects to design solutions that meet business requirements, ensuring the alignment of the ServiceNow platform with business objectives and ITIL best practices. User Stories & Documentation: Develop detailed user stories, process flows, and use cases for ServiceNow configurations, customizations, and integrations. Configuration Support: Assist in the configuration of ServiceNow applications, including setting up business rules, workflows, forms, reports, and dashboards to meet business requirements. Testing & Quality Assurance: Coordinate user acceptance testing (UAT), ensuring that solutions are thoroughly tested and meet business expectations before deployment. Stakeholder Communication: Maintain regular communication with business users and technical teams to ensure alignment on project goals, timelines, and deliverables. Continuous Improvement: Identify opportunities for continuous improvement and optimization of ServiceNow processes and functionalities based on business feedback and performance metrics. Training & Support: Provide training and support to end-users on new or enhanced ServiceNow features, ensuring a smooth transition and adoption of new solutions. Change Management: Help support the change management process for ServiceNow upgrades and enhancements, ensuring proper communication and user readiness for changes. Required Qualifications: Experience: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. ServiceNow Knowledge: Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Business Analysis Skills: Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with both business and technical teams. Strong presentation and facilitation skills. Stakeholder Management: Proven ability to work with various stakeholders, including business leaders, IT teams, and external vendors, to gather requirements, manage expectations, and deliver results. Problem-Solving: Strong analytical and problem-solving skills with the ability to address complex business challenges and propose effective solutions. ITIL Knowledge: A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. Certifications: ServiceNow Certified System Administrator (CSA) or Business Analyst certifications (e.g., CBAP, IIBA) are highly desirable. Preferred Qualifications: Experience working in Agile/Scrum environments, including participation in sprint planning, retrospectives, and daily stand-ups Knowledge of ServiceNow integrations (REST/SOAP) and data management Familiarity with ServiceNow CSM features, including Case Management, Customer Portals, Knowledge Management, Omnichannel Engagement (email, chat, virtual agent), and experience configuring and optimizing customer service processes Familiarity with advanced ServiceNow features like Flow Designer, Virtual Agent, or Performance Analytics Experience with data migration and integration projects involving ServiceNow Understanding of cloud technologies (AWS, Azure) and how they integrate with ServiceNow MUST HAVE: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. ServiceNow Certified System Administrator (CSA) certification required.
04/30/2026
ServiceNow Business Analyst Chandler, AZ - Remote only Local Preferred - Candidate must be staying in PST/MST time zone only Skills: ServiceNow Business Analyst, ServiceNow implementation, Process Automation, ITSM, ITOM, CSM, CMDB, ITIL, ServiceNow Certified System Administrator (CSA) Job Description: As a ServiceNow Business Analyst, you will act as a liaison between business stakeholders and technical teams to ensure the successful implementation and optimization of ServiceNow solutions. You will be responsible for gathering, analyzing, and documenting business requirements and working with development and implementation teams to translate these into technical solutions that meet business needs. Key Responsibilities: Requirements Gathering & Analysis: Collaborate with business stakeholders to understand their needs and document detailed business requirements for ServiceNow solutions, including ITSM, ITOM, CSM, CMDB, and other ServiceNow modules. Business Process Mapping: Analyze and map existing business processes, identify areas for improvement, and propose streamlined workflows that leverage ServiceNow functionality. Solution Design: Work closely with ServiceNow developers and architects to design solutions that meet business requirements, ensuring the alignment of the ServiceNow platform with business objectives and ITIL best practices. User Stories & Documentation: Develop detailed user stories, process flows, and use cases for ServiceNow configurations, customizations, and integrations. Configuration Support: Assist in the configuration of ServiceNow applications, including setting up business rules, workflows, forms, reports, and dashboards to meet business requirements. Testing & Quality Assurance: Coordinate user acceptance testing (UAT), ensuring that solutions are thoroughly tested and meet business expectations before deployment. Stakeholder Communication: Maintain regular communication with business users and technical teams to ensure alignment on project goals, timelines, and deliverables. Continuous Improvement: Identify opportunities for continuous improvement and optimization of ServiceNow processes and functionalities based on business feedback and performance metrics. Training & Support: Provide training and support to end-users on new or enhanced ServiceNow features, ensuring a smooth transition and adoption of new solutions. Change Management: Help support the change management process for ServiceNow upgrades and enhancements, ensuring proper communication and user readiness for changes. Required Qualifications: Experience: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. ServiceNow Knowledge: Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Business Analysis Skills: Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with both business and technical teams. Strong presentation and facilitation skills. Stakeholder Management: Proven ability to work with various stakeholders, including business leaders, IT teams, and external vendors, to gather requirements, manage expectations, and deliver results. Problem-Solving: Strong analytical and problem-solving skills with the ability to address complex business challenges and propose effective solutions. ITIL Knowledge: A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. Certifications: ServiceNow Certified System Administrator (CSA) or Business Analyst certifications (e.g., CBAP, IIBA) are highly desirable. Preferred Qualifications: Experience working in Agile/Scrum environments, including participation in sprint planning, retrospectives, and daily stand-ups Knowledge of ServiceNow integrations (REST/SOAP) and data management Familiarity with ServiceNow CSM features, including Case Management, Customer Portals, Knowledge Management, Omnichannel Engagement (email, chat, virtual agent), and experience configuring and optimizing customer service processes Familiarity with advanced ServiceNow features like Flow Designer, Virtual Agent, or Performance Analytics Experience with data migration and integration projects involving ServiceNow Understanding of cloud technologies (AWS, Azure) and how they integrate with ServiceNow MUST HAVE: 5+ years of experience as a ServiceNow Business Analyst, with at least 3 years specifically focused on ServiceNow implementations and process automation. Deep understanding of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and CMDB. Strong ability to analyze business requirements, model processes, and translate them into technical specifications. Proficiency in creating user stories, workflows, and process documentation. A solid understanding of ITIL frameworks, particularly in the context of ServiceNow, is highly beneficial. ServiceNow Certified System Administrator (CSA) certification required.
2. Engineer space-based cellular network protocols using C++ and SQL, and apply object-oriented programming, socket programming, memory management, and efficient use of Standard Template Library (STL) constructs, including vectors, maps, and sets. 3. Develop and integrate software for hardware systems to accelerate telecom call flows and enhance real-time satellite data processing efficiency. 4. Design and implement automation pipelines for network management and ground-based test beds simulating satellite communication workflows, utilizing shell scripting, command-line utilities, and version control tools, including Git for workflow validation. 5. Develop scalable software architectures for wireless network systems, incorporate object-oriented design principles, and implement unit and integration testing using Google Test (GTest) in a Test-Driven Development (TDD) workflow environment. 6. Configure, enhance, and troubleshoot network infrastructures across on-premises and cloud-based environments, ensuring scalability, high availability, and optimizing CPU resource utilization, working across UNIX and Windows environments using shell scripting and CLI tools while applying structured troubleshooting and defect prevention practices. 7. Monitor and analyze system performance using tcpdump and Wireshark, as well as Python-based data analysis tools, including Pandas, NumPy, and Matplotlib, to optimize system performance and configuration. 8. Conduct simulations and proof-of-concept implementations to replicate satellite-to-ground communication performance, validate new designs by troubleshooting in a hybrid development setup, and generate recommendations for production deployment. 9. Integrate and validate end-to-end network applications across multiple 3GPP technologies and nodes, ensuring functional interoperability and robust performance, while applying rigorous system testing methodologies and conducting static code analysis. 10. Collaborate with project managers on estimates, schedules, and budgets, review deliverables for accuracy, and mentor junior engineers in software engineering, testing, and networking practices. 11. Manage subscriber authentication and profile distribution across satellites for GSM and LTE technologies, implement dual authentication processes, process partner-provided subscriber data files using SQL and SSH, and ensure accurate handling of authentication vectors and signaling flows within the satellite network. 12. Support field testing activities by conducting live satellite connectivity tests using standard mobile devices, validating GSM and LTE call flows under real-world conditions, and assisting in partner demonstrations to ensure reliable performance of satellite-enabled cellular services. 13. Coordinate with missions and operations engineering teams to execute on-demand data and configuration updates to satellite systems, build Data Collection and Analysis (DCA) tools using C++, improve real-time data handling, and create and track tickets to ensure required files and parameters are in place for upcoming customer demonstrations and network operations. 14. Prepare technical documentation and architecture diagrams to support internal engineering processes, as well as lightweight documentation of call flows, automations, and system automation, and design for cross-functional communication; review and suggest updates to existing architecture documentation to align with evolving network requirements. Requires one (1) year of experience in the job offered or a related occupation. Experience must have included: a. Use of Python. b. System automation and automation of satellite communication workflows. c. Leading simulations to replicate satellite data performance using Python-based data analysis tools including Pandas, Numpy, and Matplotlib. d. Implementing FPGA-based AI/ML models to enhance processing efficiency. e. DevOps environments focused on automation. f. Optimizing CPU resource utilization. g. Use of C++ and SQL. h. Building Data Collection and Analysis (DCA) tools using C++. i. Authoring and executing unit and integration tests using Google Test (GTest) in a Test-Driven Development (TDD) workflow. j. Utilizing version control tools including Git, and conducting static code analysis. k. Implementing multithreading and socket programming techniques in C++. l. Working across UNIX and Windows environments, using shell scripting and CLI tools for module validation, deployment, and troubleshooting in a hybrid development setup. Requires a Masters degree or foreign educational equivalent in Engineering Technology, Network Communications, Information Technology or a related field. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
04/30/2026
2. Engineer space-based cellular network protocols using C++ and SQL, and apply object-oriented programming, socket programming, memory management, and efficient use of Standard Template Library (STL) constructs, including vectors, maps, and sets. 3. Develop and integrate software for hardware systems to accelerate telecom call flows and enhance real-time satellite data processing efficiency. 4. Design and implement automation pipelines for network management and ground-based test beds simulating satellite communication workflows, utilizing shell scripting, command-line utilities, and version control tools, including Git for workflow validation. 5. Develop scalable software architectures for wireless network systems, incorporate object-oriented design principles, and implement unit and integration testing using Google Test (GTest) in a Test-Driven Development (TDD) workflow environment. 6. Configure, enhance, and troubleshoot network infrastructures across on-premises and cloud-based environments, ensuring scalability, high availability, and optimizing CPU resource utilization, working across UNIX and Windows environments using shell scripting and CLI tools while applying structured troubleshooting and defect prevention practices. 7. Monitor and analyze system performance using tcpdump and Wireshark, as well as Python-based data analysis tools, including Pandas, NumPy, and Matplotlib, to optimize system performance and configuration. 8. Conduct simulations and proof-of-concept implementations to replicate satellite-to-ground communication performance, validate new designs by troubleshooting in a hybrid development setup, and generate recommendations for production deployment. 9. Integrate and validate end-to-end network applications across multiple 3GPP technologies and nodes, ensuring functional interoperability and robust performance, while applying rigorous system testing methodologies and conducting static code analysis. 10. Collaborate with project managers on estimates, schedules, and budgets, review deliverables for accuracy, and mentor junior engineers in software engineering, testing, and networking practices. 11. Manage subscriber authentication and profile distribution across satellites for GSM and LTE technologies, implement dual authentication processes, process partner-provided subscriber data files using SQL and SSH, and ensure accurate handling of authentication vectors and signaling flows within the satellite network. 12. Support field testing activities by conducting live satellite connectivity tests using standard mobile devices, validating GSM and LTE call flows under real-world conditions, and assisting in partner demonstrations to ensure reliable performance of satellite-enabled cellular services. 13. Coordinate with missions and operations engineering teams to execute on-demand data and configuration updates to satellite systems, build Data Collection and Analysis (DCA) tools using C++, improve real-time data handling, and create and track tickets to ensure required files and parameters are in place for upcoming customer demonstrations and network operations. 14. Prepare technical documentation and architecture diagrams to support internal engineering processes, as well as lightweight documentation of call flows, automations, and system automation, and design for cross-functional communication; review and suggest updates to existing architecture documentation to align with evolving network requirements. Requires one (1) year of experience in the job offered or a related occupation. Experience must have included: a. Use of Python. b. System automation and automation of satellite communication workflows. c. Leading simulations to replicate satellite data performance using Python-based data analysis tools including Pandas, Numpy, and Matplotlib. d. Implementing FPGA-based AI/ML models to enhance processing efficiency. e. DevOps environments focused on automation. f. Optimizing CPU resource utilization. g. Use of C++ and SQL. h. Building Data Collection and Analysis (DCA) tools using C++. i. Authoring and executing unit and integration tests using Google Test (GTest) in a Test-Driven Development (TDD) workflow. j. Utilizing version control tools including Git, and conducting static code analysis. k. Implementing multithreading and socket programming techniques in C++. l. Working across UNIX and Windows environments, using shell scripting and CLI tools for module validation, deployment, and troubleshooting in a hybrid development setup. Requires a Masters degree or foreign educational equivalent in Engineering Technology, Network Communications, Information Technology or a related field. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
04/30/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI-powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross-functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI-enabled finance capabilities, translate business needs into high-impact product features, and guide teams to deliver scalable digital solutions that improve top-line and bottom-line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority. Key Responsibilities Product Ownership & Execution Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes. Convert ambiguous business problems into well-defined project charters, success metrics, user stories, and technical requirements. Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities. Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk. Define and evolve the technical implementation roadmap in partnership with data science and engineering Technical Collaboration Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards. Participate in sprint planning, standups, and retrospectives to promote on-time delivery. Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design. Stakeholder Engagement Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities. Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development. Support customer discovery and usability testing to inform product decisions. Project and Financial Management Own financials for the program, including budget adherence and ROI analysis. Monitor project KPIs, risks, and resource allocation; report progress to leadership. Communication and Documentation Communicate progress, risks, and dependencies to cross-functional teams and executive audiences. Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams. Create and maintain product documentation, including technical specs, release notes, and user guides. Minimum Requirement Degree or equivalent and typically requires 10+ years of relevant experience Critical Experience/Skills 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI. Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation. Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices. Proven experience working with and influencing highly matrixed teams. Proven ability to build financial business cases and justify product investments. Excellent communication, leadership, and stakeholder management skills. Additional Experience/Skills Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus. Experience with financial modeling Optional but advantageous: oncology or healthcare revenue cycle management. The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc. Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred). We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Title: Sr. Platform AI Engineer Location: Houston and Dallas, TX (Hybrid) (Local only) Duration: 12+ Months C2H Visa Independent Candidates only (USC, GC, GC EAD, TN) who can work on W2 with our client. No C2C/1099 enquiry please Video Interview Role Overview AI Foundry is key here. What these AI Engineers are doing will be working on the AI Infrastructure platform and then will be assigned to Product service lines within client once they select which use cases they are going to move forward with in terms of ROI with implementing AI tools. Key Responsibilities AI Platform Development: Define, implement, and standardize core components of the enterprise AI platform (AI Foundry). Establish best practices, frameworks, and reference architectures for AI/ML application development. Application Engineering: Build initial applications on the platform (e.g., chatbots, copilots, AI-enabled applications). Prove out build capabilities that future dev teams will replicate and scale. Integration & Security: Work with Copilot Studio and Microsoft Copilot to manage access, identities, and security compliance. Integrate with enterprise identity management and ensure secure system design. Team & Collaboration: Act as a senior IC while collaborating with engineering and product stakeholders. Contribute to rebuilding a cohesive team and mentoring junior members. Support cross-functional teams and partner with leadership on adoption strategy. Required Skills & Experience Strong expertise in Python development (core language for AI and data science). Proven experience with AI/ML platform engineering or enterprise-scale data platforms. Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration. Knowledge of identity and security integration in enterprise environments. Background in large enterprise or consulting environments (not early-stage startup only). Strong IC who can operate independently while collaborating with leadership. Preferred Qualifications Experience building enterprise AI platforms from the ground up. Familiarity with cloud-based AI services (Azure OpenAI, AWS AI/ML, etc.). Ability to present technical work clearly to both technical and non-technical stakeholders. Prior experience in the oil & gas or energy sector is a plus.
04/30/2026
Title: Sr. Platform AI Engineer Location: Houston and Dallas, TX (Hybrid) (Local only) Duration: 12+ Months C2H Visa Independent Candidates only (USC, GC, GC EAD, TN) who can work on W2 with our client. No C2C/1099 enquiry please Video Interview Role Overview AI Foundry is key here. What these AI Engineers are doing will be working on the AI Infrastructure platform and then will be assigned to Product service lines within client once they select which use cases they are going to move forward with in terms of ROI with implementing AI tools. Key Responsibilities AI Platform Development: Define, implement, and standardize core components of the enterprise AI platform (AI Foundry). Establish best practices, frameworks, and reference architectures for AI/ML application development. Application Engineering: Build initial applications on the platform (e.g., chatbots, copilots, AI-enabled applications). Prove out build capabilities that future dev teams will replicate and scale. Integration & Security: Work with Copilot Studio and Microsoft Copilot to manage access, identities, and security compliance. Integrate with enterprise identity management and ensure secure system design. Team & Collaboration: Act as a senior IC while collaborating with engineering and product stakeholders. Contribute to rebuilding a cohesive team and mentoring junior members. Support cross-functional teams and partner with leadership on adoption strategy. Required Skills & Experience Strong expertise in Python development (core language for AI and data science). Proven experience with AI/ML platform engineering or enterprise-scale data platforms. Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration. Knowledge of identity and security integration in enterprise environments. Background in large enterprise or consulting environments (not early-stage startup only). Strong IC who can operate independently while collaborating with leadership. Preferred Qualifications Experience building enterprise AI platforms from the ground up. Familiarity with cloud-based AI services (Azure OpenAI, AWS AI/ML, etc.). Ability to present technical work clearly to both technical and non-technical stakeholders. Prior experience in the oil & gas or energy sector is a plus.
Bitsoft International, Inc
King Of Prussia, Pennsylvania
Job Title: Enterprise Architect .NET/C# Modernization for Healthcare Systems Location: 100% Remote (EST Preferred Occasional Travel to Customer Sites) Duration: 18+ Months Rate: $Market/Hour Required Experience 15+ years of overall IT experience 5 6+ years as a Technical Lead / Solution Architect / Enterprise Architect Strong background in Healthcare & Life Sciences domain Extensive experience with .NET/C# enterprise application development and modernization Required Technical Skills Strong expertise in .NET / C# development Enterprise architecture and modernization experience REST API design and integration Data Migration: Legacy Systems to Modern Platforms PostgreSQL and/or SQL Server Batch Processing systems and workflows Cloud Platforms: AWS and/or Azure and/or GCP Experience with distributed systems and microservices architecture Strong understanding of SDLC, Agile methodologies, and DevOps practices Preferred Qualifications Experience modernizing healthcare platforms, EMR/EHR systems, claim processing systems, or healthcare data platforms Knowledge of healthcare compliance standards such as HIPAA Experience with cloud-native architecture patterns and containerized deployments Strong communication and stakeholder management skills
04/30/2026
Job Title: Enterprise Architect .NET/C# Modernization for Healthcare Systems Location: 100% Remote (EST Preferred Occasional Travel to Customer Sites) Duration: 18+ Months Rate: $Market/Hour Required Experience 15+ years of overall IT experience 5 6+ years as a Technical Lead / Solution Architect / Enterprise Architect Strong background in Healthcare & Life Sciences domain Extensive experience with .NET/C# enterprise application development and modernization Required Technical Skills Strong expertise in .NET / C# development Enterprise architecture and modernization experience REST API design and integration Data Migration: Legacy Systems to Modern Platforms PostgreSQL and/or SQL Server Batch Processing systems and workflows Cloud Platforms: AWS and/or Azure and/or GCP Experience with distributed systems and microservices architecture Strong understanding of SDLC, Agile methodologies, and DevOps practices Preferred Qualifications Experience modernizing healthcare platforms, EMR/EHR systems, claim processing systems, or healthcare data platforms Knowledge of healthcare compliance standards such as HIPAA Experience with cloud-native architecture patterns and containerized deployments Strong communication and stakeholder management skills
