The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
09/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
09/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
09/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $107635 - $217810 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/07/2026
Full time
Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/07/2026
Full time
Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Intelligent Network & Communication Systems
Grand Blanc, Michigan
Job Description Job Description Tier 2 Technician (A.K.A. The Technical Heavy-Hitter We've Been Looking For) Job Summary At INC Systems, we're not your typical Managed Service Provider (MSP). We've been helping businesses and non-profits wrangle their technology since 2004, and along the way we figured out a secret: people matter more than servers. Technology is just the tool we use to make lives easier, and occasionally to justify buying really cool gadgets. We're on the hunt for a seasoned Tier 2 Technician. The kind of person who sees a flashing red light on a firewall and gets curious instead of concerned. You're the technical backbone of our service team: part engineer, part detective, part mentor, and part "wait, how did you fix that so fast?" You'll own the tough tickets, lift up our Tier 1 team, own projects from kickoff to handoff, and help push our tools, processes, and automations forward. If you get a small dopamine hit from a clean PowerShell script, have opinions about VLAN design, and think "Office 365 admin" is a fun Saturday, keep reading. A Day in the Life Your day starts with a 15-minute team huddle where we talk priorities, escalations, overnight alerts, and (inevitably) someone makes a joke that's way too early for HR to hear about. From there, you're off. The morning might kick off with a backup job that threw a tantrum overnight. You'll dig into logs, pull in the vendor if you have to, and make sure our client's data is safe before they've even had their second coffee. Then a Tier 1 tech pings you: a user's Conditional Access policy is blocking them from a legitimate app. You walk the tech through the fix, explain the "why" (not just the "what"), and everyone leaves 2% smarter. By mid-morning you're on-site at a client. Maybe standing up a new server, cutting them over to our VOIP platform, or scoping a firewall replacement. You take notes like a hawk, because future-you will thank present-you when the ticket comes back in six months. Lunch happens. Opinions are shared. Someone defends a questionable streaming show. The darts may or may not start flying. Afternoon shifts into project and improvement mode. Sales needs your input on a network refresh quote: how many hours, what gear, what gotchas? A client is rolling out new software and wants to know if their infrastructure can handle it (spoiler: probably, with a nudge). And if there's a repetitive task draining hours out of the team's week, you're the type to ask, "why aren't we automating this?" and then actually do it. By end-of-day, you've closed tough tickets, made the Tier 1 team better, moved a project forward, and maybe shaved 20 minutes off a process that'll compound into weeks of reclaimed time. Victory dance optional. Encouraged. What You'll Be Doing (AKA Your Superpowers) Technical Heavy Lifting: Where the Tickets Get Real Own escalated tickets from Tier 1: the gnarly ones, the weird ones, the "this has never happened before" ones. Troubleshoot network issues end-to-end: DNS, DHCP, NAT, firewall rules, VLANs, routing, VPN tunnels, and the occasional haunted switch. Administer, troubleshoot, and optimize Microsoft 365 tenants (Entra ID, Exchange Online, Teams, SharePoint, Intune, Conditional Access, the whole family). Support Windows Server environments (AD, Group Policy, DNS, DHCP, file services, RDS) and keep virtualization hosts happy. Own backup and disaster recovery, because the job isn't done until you've verified the restore actually works. Stand up, migrate, and maintain firewalls, switches, wireless, and VPN infrastructure across our client base. Roll out new clients and projects (onboarding, migrations, VOIP cutovers, hardware refreshes) with the kind of planning that makes the cutover day boring (in the best way). Making the Team Better: Because No One Levels Up Alone Coach and mentor the Tier 1 team. Walk them through the fix and the reasoning, so next time they've got it. Be the technical partner to our sales team: scope projects, estimate time and equipment, and flag the gotchas before they become change orders. Contribute to documentation like your future self is going to read it (because they will, at 11pm, on a Tuesday). Spot broken processes and fix them. Spot tedious processes and automate them. Spot tribal knowledge and write it down. Client-Facing Work: Yes, You'll Talk to Humans Work directly with clients to untangle issues, recommend solutions, and translate "IT" into English. Advise clients on hardware, software, and network changes when they're rolling out something new. Be the calm in the storm when things go sideways, because someone has to be, and you're really good at it. You Have (The Non-Negotiables) A genuine drive to deliver great customer service and help people. This is the whole job, honestly. Strong verbal and written communication, with the patience of a saint when things get chaotic. The ability to explain complicated tech to your grandmother and have her actually get it. Sharp problem-solving chops and a brain that likes logic puzzles. 5+ years working in IT (or a degree in a computer field plus serious hands-on time). 4+ years hands-on with VLANs, routing, firewall support, and VPN connectivity. 4+ years supporting server hardware (CPU/RAID/storage) and Windows Server environments. 4+ years of data backup and recovery work, plus corporate antivirus/EDR support. Strong working knowledge of network domains, Active Directory, and security tooling. Solid wireless technology chops (design, deployment, troubleshooting). Deep comfort with Microsoft 365 administration. Entra ID, Exchange Online, Teams, SharePoint, and Intune should all feel like home. Real troubleshooting skills around DNS, DHCP, NAT, and firewall rules (not just reading about them on Reddit). Strongly Preferred (A.K.A. You'll Fit Right In) PowerShell scripting and a general love for automating the boring stuff. If you've ever written a script just to avoid doing something twice, we're your people. Experience building automations that connect systems together (Power Automate, Graph API, webhooks, or similar). A habit of asking "why are we doing this manually?" and then doing something about it. Would Also Be Great If You Have Experience with ConnectWise Manage (our PSA). Bonus points if you've lived in it daily. Experience with NinjaOne RMM (or comparable RMM platforms like Datto, N-able, Kaseya). A+, Network+, Security+, and any Microsoft certifications (MS-900, AZ-104, MS-102, etc.). The ability to type 50+ wpm without staring at your keyboard. A passion for learning: new tools, new platforms, new anything. A love for technology, Star Wars, science, and gadgets. (Strong opinions welcome. Defending them at lunch is encouraged.) What You Get Starting salary depends on experience, certifications, and overall technical ability. $50k to $70k per year Quarterly and Annual Bonuses based on performance An opportunity to learn and expand your knowledge with the best team around We Have (Because We Actually Care) Paid vacation, PTO, and holiday pay. Unused vacation can be rolled over or sold back to the company. Great health insurance with a portion paid by INC, plus options for supplemental insurance and other payroll deduction plans. Matching retirement contributions. We match 4% of what you invest. Annual profit sharing. When the company wins, you win. This isn't a "maybe someday" perk, it's a real chunk of change that shows up every year based on how we do as a team. Quarterly and Annual bonuses that let you earn above your target pay. Family First Approach. Your family is the priority. When they need you, work waits. Casual, fun work atmosphere: ping pong table, dart board, comfortable break room, and a standing recommendation to keep a Nerf gun handy (you'll know why eventually). Snacks, food, ice cream, and plenty of coffee/tea options. The fridge gets restocked monthly. Where You Go From Here The Tier 2 Technician role is the second level of technical ability at INC Systems, and it's a real one. You're the support our Tier 1 team leans on and the person clients trust with the hard stuff. You'll know our processes, procedures, and tools inside and out. From here, there are a few paths. You might lean deeper into the technical track and grow into a Senior Engineer role, owning the hardest tickets, leading R&D on new technology, and shaping what we deploy next. Or you might lean toward account management, working closely with clients to make sure they're getting everything they should out of their technology. Every level has more responsibility, more perks, and a clear path for growth. We'd rather help you level up than lose you. Company Description In business since 2004, INC Systems is a technology services and consulting company that has been involved in vast number of diverse projects. Until 2013, there were two divisions of the company with one focused on I.T. services and the other on low-voltage wiring, audio video projects and home automation. A tremendous amount of knowledge was gained during our first decade, not only on the technical work but in managing client expectations and delivering value. Today we only work with businesses and non-profits that view I.T. as critical to their success. . click apply for full job details
09/07/2026
Full time
Job Description Job Description Tier 2 Technician (A.K.A. The Technical Heavy-Hitter We've Been Looking For) Job Summary At INC Systems, we're not your typical Managed Service Provider (MSP). We've been helping businesses and non-profits wrangle their technology since 2004, and along the way we figured out a secret: people matter more than servers. Technology is just the tool we use to make lives easier, and occasionally to justify buying really cool gadgets. We're on the hunt for a seasoned Tier 2 Technician. The kind of person who sees a flashing red light on a firewall and gets curious instead of concerned. You're the technical backbone of our service team: part engineer, part detective, part mentor, and part "wait, how did you fix that so fast?" You'll own the tough tickets, lift up our Tier 1 team, own projects from kickoff to handoff, and help push our tools, processes, and automations forward. If you get a small dopamine hit from a clean PowerShell script, have opinions about VLAN design, and think "Office 365 admin" is a fun Saturday, keep reading. A Day in the Life Your day starts with a 15-minute team huddle where we talk priorities, escalations, overnight alerts, and (inevitably) someone makes a joke that's way too early for HR to hear about. From there, you're off. The morning might kick off with a backup job that threw a tantrum overnight. You'll dig into logs, pull in the vendor if you have to, and make sure our client's data is safe before they've even had their second coffee. Then a Tier 1 tech pings you: a user's Conditional Access policy is blocking them from a legitimate app. You walk the tech through the fix, explain the "why" (not just the "what"), and everyone leaves 2% smarter. By mid-morning you're on-site at a client. Maybe standing up a new server, cutting them over to our VOIP platform, or scoping a firewall replacement. You take notes like a hawk, because future-you will thank present-you when the ticket comes back in six months. Lunch happens. Opinions are shared. Someone defends a questionable streaming show. The darts may or may not start flying. Afternoon shifts into project and improvement mode. Sales needs your input on a network refresh quote: how many hours, what gear, what gotchas? A client is rolling out new software and wants to know if their infrastructure can handle it (spoiler: probably, with a nudge). And if there's a repetitive task draining hours out of the team's week, you're the type to ask, "why aren't we automating this?" and then actually do it. By end-of-day, you've closed tough tickets, made the Tier 1 team better, moved a project forward, and maybe shaved 20 minutes off a process that'll compound into weeks of reclaimed time. Victory dance optional. Encouraged. What You'll Be Doing (AKA Your Superpowers) Technical Heavy Lifting: Where the Tickets Get Real Own escalated tickets from Tier 1: the gnarly ones, the weird ones, the "this has never happened before" ones. Troubleshoot network issues end-to-end: DNS, DHCP, NAT, firewall rules, VLANs, routing, VPN tunnels, and the occasional haunted switch. Administer, troubleshoot, and optimize Microsoft 365 tenants (Entra ID, Exchange Online, Teams, SharePoint, Intune, Conditional Access, the whole family). Support Windows Server environments (AD, Group Policy, DNS, DHCP, file services, RDS) and keep virtualization hosts happy. Own backup and disaster recovery, because the job isn't done until you've verified the restore actually works. Stand up, migrate, and maintain firewalls, switches, wireless, and VPN infrastructure across our client base. Roll out new clients and projects (onboarding, migrations, VOIP cutovers, hardware refreshes) with the kind of planning that makes the cutover day boring (in the best way). Making the Team Better: Because No One Levels Up Alone Coach and mentor the Tier 1 team. Walk them through the fix and the reasoning, so next time they've got it. Be the technical partner to our sales team: scope projects, estimate time and equipment, and flag the gotchas before they become change orders. Contribute to documentation like your future self is going to read it (because they will, at 11pm, on a Tuesday). Spot broken processes and fix them. Spot tedious processes and automate them. Spot tribal knowledge and write it down. Client-Facing Work: Yes, You'll Talk to Humans Work directly with clients to untangle issues, recommend solutions, and translate "IT" into English. Advise clients on hardware, software, and network changes when they're rolling out something new. Be the calm in the storm when things go sideways, because someone has to be, and you're really good at it. You Have (The Non-Negotiables) A genuine drive to deliver great customer service and help people. This is the whole job, honestly. Strong verbal and written communication, with the patience of a saint when things get chaotic. The ability to explain complicated tech to your grandmother and have her actually get it. Sharp problem-solving chops and a brain that likes logic puzzles. 5+ years working in IT (or a degree in a computer field plus serious hands-on time). 4+ years hands-on with VLANs, routing, firewall support, and VPN connectivity. 4+ years supporting server hardware (CPU/RAID/storage) and Windows Server environments. 4+ years of data backup and recovery work, plus corporate antivirus/EDR support. Strong working knowledge of network domains, Active Directory, and security tooling. Solid wireless technology chops (design, deployment, troubleshooting). Deep comfort with Microsoft 365 administration. Entra ID, Exchange Online, Teams, SharePoint, and Intune should all feel like home. Real troubleshooting skills around DNS, DHCP, NAT, and firewall rules (not just reading about them on Reddit). Strongly Preferred (A.K.A. You'll Fit Right In) PowerShell scripting and a general love for automating the boring stuff. If you've ever written a script just to avoid doing something twice, we're your people. Experience building automations that connect systems together (Power Automate, Graph API, webhooks, or similar). A habit of asking "why are we doing this manually?" and then doing something about it. Would Also Be Great If You Have Experience with ConnectWise Manage (our PSA). Bonus points if you've lived in it daily. Experience with NinjaOne RMM (or comparable RMM platforms like Datto, N-able, Kaseya). A+, Network+, Security+, and any Microsoft certifications (MS-900, AZ-104, MS-102, etc.). The ability to type 50+ wpm without staring at your keyboard. A passion for learning: new tools, new platforms, new anything. A love for technology, Star Wars, science, and gadgets. (Strong opinions welcome. Defending them at lunch is encouraged.) What You Get Starting salary depends on experience, certifications, and overall technical ability. $50k to $70k per year Quarterly and Annual Bonuses based on performance An opportunity to learn and expand your knowledge with the best team around We Have (Because We Actually Care) Paid vacation, PTO, and holiday pay. Unused vacation can be rolled over or sold back to the company. Great health insurance with a portion paid by INC, plus options for supplemental insurance and other payroll deduction plans. Matching retirement contributions. We match 4% of what you invest. Annual profit sharing. When the company wins, you win. This isn't a "maybe someday" perk, it's a real chunk of change that shows up every year based on how we do as a team. Quarterly and Annual bonuses that let you earn above your target pay. Family First Approach. Your family is the priority. When they need you, work waits. Casual, fun work atmosphere: ping pong table, dart board, comfortable break room, and a standing recommendation to keep a Nerf gun handy (you'll know why eventually). Snacks, food, ice cream, and plenty of coffee/tea options. The fridge gets restocked monthly. Where You Go From Here The Tier 2 Technician role is the second level of technical ability at INC Systems, and it's a real one. You're the support our Tier 1 team leans on and the person clients trust with the hard stuff. You'll know our processes, procedures, and tools inside and out. From here, there are a few paths. You might lean deeper into the technical track and grow into a Senior Engineer role, owning the hardest tickets, leading R&D on new technology, and shaping what we deploy next. Or you might lean toward account management, working closely with clients to make sure they're getting everything they should out of their technology. Every level has more responsibility, more perks, and a clear path for growth. We'd rather help you level up than lose you. Company Description In business since 2004, INC Systems is a technology services and consulting company that has been involved in vast number of diverse projects. Until 2013, there were two divisions of the company with one focused on I.T. services and the other on low-voltage wiring, audio video projects and home automation. A tremendous amount of knowledge was gained during our first decade, not only on the technical work but in managing client expectations and delivering value. Today we only work with businesses and non-profits that view I.T. as critical to their success. . click apply for full job details
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 looking for a Site Reliability Engineer (Associate, Experienced or Senior) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to operate, improve, and sustain mission-critical developer platforms used by Air Dominance engineering teams. This role will provide hands-on technical ownership for GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will drive reliability improvements, automate operational workflows, troubleshoot complex incidents, lead planned maintenance activities, and help establish mature Site Reliability Engineering practices for the team. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and/or Senior Level Software Engineers. Position Responsibilities: Operate and maintain GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Serve as a technical owner for platform reliability, availability, performance, capacity, backup, recovery, and operational readiness Develop and maintain Infrastructure as Code (IaC), Ansible, and other automation for provisioning, configuration, platform scaling, health checks, reporting, backup validation, and routine operational tasks Plan and execute approved changes, including application upgrades, security patches, database maintenance, runner lifecycle activities, and infrastructure updates Define, collect, analyze, and refine software delivery and platform reliability metrics to support data-driven decision making Support incident response, root cause analysis, corrective action tracking, and post-incident reviews Partner with developers, project administrators, cybersecurity personnel, infrastructure teams, database administrators, and program stakeholders Improve runbooks, standard operating procedures, architecture documentation, and disaster recovery procedures Evaluate platform risks, capacity trends, recurring incidents, and operational toil, then recommend and implement improvements Participate in after-hours support for urgent or mission-impacting issues as required Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) This position requires the ability to obtain access to Special Access Programs (SAP), for which the US Government requires US Citizenship as a condition of employment 2+ years of experience with software development and/or troubleshooting software 2+ years of experience with Git-based source control workflows including branching strategies, code reviews, and pull request processes 2+ years of experience developing software products in a cloud computing environment e.g. Azure/AWS/Google Cloud Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Active clearance Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Agile software development Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, Java, C#, C++, or a similar language Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Ability to obtain Security+ certification Experience designing or improving monitoring, alerting, dashboards, operational metrics, and SLOs Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience with disaster recovery planning, continuity of operations, backup validation, and restore testing Experience leading technical investigations, post-incident reviews, and corrective action plans Demonstrated ability to balance customer urgency, system reliability, security requirements, and change control Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Travel: 5% 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. 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 Associate level (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced level (Level 3): $126,650 - $171,350 Summary Pay Range for Senior level (Level 4): $160,650 - $217,350 Applications for this position will be accepted until Sept. 17, 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 . click apply for full job details
09/06/2026
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 looking for a Site Reliability Engineer (Associate, Experienced or Senior) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to operate, improve, and sustain mission-critical developer platforms used by Air Dominance engineering teams. This role will provide hands-on technical ownership for GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will drive reliability improvements, automate operational workflows, troubleshoot complex incidents, lead planned maintenance activities, and help establish mature Site Reliability Engineering practices for the team. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and/or Senior Level Software Engineers. Position Responsibilities: Operate and maintain GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Serve as a technical owner for platform reliability, availability, performance, capacity, backup, recovery, and operational readiness Develop and maintain Infrastructure as Code (IaC), Ansible, and other automation for provisioning, configuration, platform scaling, health checks, reporting, backup validation, and routine operational tasks Plan and execute approved changes, including application upgrades, security patches, database maintenance, runner lifecycle activities, and infrastructure updates Define, collect, analyze, and refine software delivery and platform reliability metrics to support data-driven decision making Support incident response, root cause analysis, corrective action tracking, and post-incident reviews Partner with developers, project administrators, cybersecurity personnel, infrastructure teams, database administrators, and program stakeholders Improve runbooks, standard operating procedures, architecture documentation, and disaster recovery procedures Evaluate platform risks, capacity trends, recurring incidents, and operational toil, then recommend and implement improvements Participate in after-hours support for urgent or mission-impacting issues as required Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) This position requires the ability to obtain access to Special Access Programs (SAP), for which the US Government requires US Citizenship as a condition of employment 2+ years of experience with software development and/or troubleshooting software 2+ years of experience with Git-based source control workflows including branching strategies, code reviews, and pull request processes 2+ years of experience developing software products in a cloud computing environment e.g. Azure/AWS/Google Cloud Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Active clearance Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Agile software development Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, Java, C#, C++, or a similar language Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Ability to obtain Security+ certification Experience designing or improving monitoring, alerting, dashboards, operational metrics, and SLOs Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience with disaster recovery planning, continuity of operations, backup validation, and restore testing Experience leading technical investigations, post-incident reviews, and corrective action plans Demonstrated ability to balance customer urgency, system reliability, security requirements, and change control Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Travel: 5% 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. 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 Associate level (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced level (Level 3): $126,650 - $171,350 Summary Pay Range for Senior level (Level 4): $160,650 - $217,350 Applications for this position will be accepted until Sept. 17, 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 . click apply for full job details
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
09/05/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Sr. Associate, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
