Manpower Engineering
San Mateo, California
Our client, a leader in autonomous vehicle technology, is seeking a dedicated and innovative Machine Learning Engineer to join their dynamic team. As a Machine Learning Engineer, you will be an integral part of the Perception team supporting the development of advanced perception modules for autonomous systems. The ideal candidate will demonstrate strong problem-solving skills, a passion for cutting-edge technology, and excellent collaboration abilities, aligning seamlessly with the organization's mission to enhance safety and efficiency in autonomous transportation. Job Title: Machine Learning Engineer Location: Foster City, CA (Onsite in Foster City, CA at least 3 days onsite) Pay Range: $100 per hour What's the Job? Design and develop in-cabin Computer Vision machine learning modules for safety-critical perception and monitoring applications Implement perception model architectures and employ sophisticated training techniques Build high-quality datasets utilizing sensor inputs and large-scale data repositories Validate and optimize solutions through real-world driving scenarios to ensure safety and reliability Collaborate with cross-functional teams to integrate perception modules into autonomous systems What's Needed? Bachelor's Degree in Computer Science, Computer Engineering, or related field with 4+ years of relevant experience Strong background in modern Computer Vision and Machine Learning, including 3D reconstruction, detection, classification, and semantic segmentation Experience with training and deploying Deep Learning models Proficiency in C++ and/or Python programming languages Excellent communication skills and ability to work effectively in a team environment What's in it for me? Opportunity to work on innovative projects that directly impact safety and fleet efficiency Collaborate with a talented and passionate team of professionals Engage in continuous learning and professional development Contribute to the advancement of autonomous vehicle technology Be part of a forward-thinking organization committed to innovation and excellence Upon completion of waiting period consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Our client, a leader in autonomous vehicle technology, is seeking a dedicated and innovative Machine Learning Engineer to join their dynamic team. As a Machine Learning Engineer, you will be an integral part of the Perception team supporting the development of advanced perception modules for autonomous systems. The ideal candidate will demonstrate strong problem-solving skills, a passion for cutting-edge technology, and excellent collaboration abilities, aligning seamlessly with the organization's mission to enhance safety and efficiency in autonomous transportation. Job Title: Machine Learning Engineer Location: Foster City, CA (Onsite in Foster City, CA at least 3 days onsite) Pay Range: $100 per hour What's the Job? Design and develop in-cabin Computer Vision machine learning modules for safety-critical perception and monitoring applications Implement perception model architectures and employ sophisticated training techniques Build high-quality datasets utilizing sensor inputs and large-scale data repositories Validate and optimize solutions through real-world driving scenarios to ensure safety and reliability Collaborate with cross-functional teams to integrate perception modules into autonomous systems What's Needed? Bachelor's Degree in Computer Science, Computer Engineering, or related field with 4+ years of relevant experience Strong background in modern Computer Vision and Machine Learning, including 3D reconstruction, detection, classification, and semantic segmentation Experience with training and deploying Deep Learning models Proficiency in C++ and/or Python programming languages Excellent communication skills and ability to work effectively in a team environment What's in it for me? Opportunity to work on innovative projects that directly impact safety and fleet efficiency Collaborate with a talented and passionate team of professionals Engage in continuous learning and professional development Contribute to the advancement of autonomous vehicle technology Be part of a forward-thinking organization committed to innovation and excellence Upon completion of waiting period consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Manpower Engineering
San Mateo, California
Our client, a leading innovator in vehicle technology and systems integration, is seeking a dedicated and skilled Integration Engineer to join their dynamic team. As an Integration Engineer, you will be an essential part of the Systems Integration and Test team, supporting the development and testing of advanced vehicle systems. The ideal candidate will demonstrate strong problem-solving abilities, excellent communication skills, and a passion for advancing electric vehicle technology, fostering an inclusive environment where diverse talents thrive. Job Title: Integration Engineer Location: Foster City, CA Pay Range: $90/hour + Benefits What's the Job? Conduct integration testing at both bench and vehicle levels to evaluate system performance under various conditions. Analyze data to identify potential risks and collaborate with cross-functional teams to implement effective mitigation strategies. Drive resolution of complex system integration issues encountered during vehicle testing and fleet operations. Support the development and commissioning of test benches and instrumentation setups to ensure precise data collection. Create and maintain detailed documentation of testing processes and results using tools like JIRA and Confluence. What's Needed? Bachelor's degree or equivalent in Electrical Engineering or related fields. 6+ years of experience in vehicle system development and testing roles. Proficiency with vehicle electrical architecture and automotive communication protocols such as CAN, LIN, and Ethernet. Hands-on experience with instrumentation and data acquisition tools like Vector CanAlyzer, ETAS INCA, and others. Strong electrical troubleshooting skills, including use of DMM, oscilloscopes, and electrical schematics. What's in it for me? Opportunity to work on cutting-edge electric vehicle systems and contribute to innovative transportation solutions. Collaborate with a talented and diverse team dedicated to excellence and innovation. Engage in meaningful work that impacts the future of mobility and autonomous vehicle services. Gain valuable experience in vehicle integration, testing, and data analysis tools. Be part of a forward-thinking organization committed to professional growth and development. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Our client, a leading innovator in vehicle technology and systems integration, is seeking a dedicated and skilled Integration Engineer to join their dynamic team. As an Integration Engineer, you will be an essential part of the Systems Integration and Test team, supporting the development and testing of advanced vehicle systems. The ideal candidate will demonstrate strong problem-solving abilities, excellent communication skills, and a passion for advancing electric vehicle technology, fostering an inclusive environment where diverse talents thrive. Job Title: Integration Engineer Location: Foster City, CA Pay Range: $90/hour + Benefits What's the Job? Conduct integration testing at both bench and vehicle levels to evaluate system performance under various conditions. Analyze data to identify potential risks and collaborate with cross-functional teams to implement effective mitigation strategies. Drive resolution of complex system integration issues encountered during vehicle testing and fleet operations. Support the development and commissioning of test benches and instrumentation setups to ensure precise data collection. Create and maintain detailed documentation of testing processes and results using tools like JIRA and Confluence. What's Needed? Bachelor's degree or equivalent in Electrical Engineering or related fields. 6+ years of experience in vehicle system development and testing roles. Proficiency with vehicle electrical architecture and automotive communication protocols such as CAN, LIN, and Ethernet. Hands-on experience with instrumentation and data acquisition tools like Vector CanAlyzer, ETAS INCA, and others. Strong electrical troubleshooting skills, including use of DMM, oscilloscopes, and electrical schematics. What's in it for me? Opportunity to work on cutting-edge electric vehicle systems and contribute to innovative transportation solutions. Collaborate with a talented and diverse team dedicated to excellence and innovation. Engage in meaningful work that impacts the future of mobility and autonomous vehicle services. Gain valuable experience in vehicle integration, testing, and data analysis tools. Be part of a forward-thinking organization committed to professional growth and development. Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans Dental Plan Vision Plan Health Savings Account Health Flexible Spending Account Dependent Care Flexible Spending Account Supplemental Life Insurance Short Term and Long Term Disability Insurance Business Travel Insurance 401(k), Plus Match Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
FM
Johnston, Rhode Island
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist specializing in optimization and advanced machine learning, you will translate business needs into analytical & AI solutions that drive FM's mission of loss prevention and risk reduction. You will design, develop, and deploy optimization models, AI/ML algorithms, and decision support systems for real world, large scale problems across underwriting, engineering, operations, and innovation teams. You will work in a collaborative, forward thinking analytics environment, leveraging modern tools and technologies to deliver impactful solutions. Key Responsibilities Build machine learning and AI solutions using Python/R and modern ML frameworks for prediction, clustering, simulation, and automated decision systems. Develop and deploy optimization models (e.g., linear, nonlinear, mixed integer programming, stochastic optimization) for risk assessment and operational decision making. Lead end to end model development: problem framing, data processing, feature engineering, modeling, validation, implementation, and monitoring. Work with cross functional partners to translate analytical insights into business actions. Work with large scale datasets using SQL or similar tools and implement robust data pipelines. Apply creativity and domain expertise to evaluate and improve model performance and interpretability. Contribute to continuous innovation in optimization, ML, and AI practices across the organization. Qualifications: Education (minimum requirement) Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a closely related field with strong optimization focus. PhD preferred. Experience 5+ years of industry experience in building optimization or machine learning solutions. 5+ years hands on experience with data processing, modeling, and advanced analytics using Python or R. 3+ years experience working with large datasets using SQL or similar technologies. Proven experience leading full cycle data science or optimization projects from ideation to deployment. Hands on experience with cloud based analytics and machine learning platforms, preferably Azure Databricks Technical Skills Strong Knowledge & Practical Experience in: Optimization methods: Linear / Non linear programming Mixed integer optimization Metaheuristics (GA, simulated annealing, evolutionary algorithms) Stochastic and robust optimization Core Machine Learning algorithms: Tree based models, gradient boosting Clustering & unsupervised learning Neural networks and deep learning fundamentals Simulation Model evaluation, validation, and experimentation Data wrangling, feature engineering, and pipeline design ML engineering practices following MLOps principles (model tracking, reproducibility, deployment) Preferred Qualifications Experience in risk management, insurance, or operations modeling. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist specializing in optimization and advanced machine learning, you will translate business needs into analytical & AI solutions that drive FM's mission of loss prevention and risk reduction. You will design, develop, and deploy optimization models, AI/ML algorithms, and decision support systems for real world, large scale problems across underwriting, engineering, operations, and innovation teams. You will work in a collaborative, forward thinking analytics environment, leveraging modern tools and technologies to deliver impactful solutions. Key Responsibilities Build machine learning and AI solutions using Python/R and modern ML frameworks for prediction, clustering, simulation, and automated decision systems. Develop and deploy optimization models (e.g., linear, nonlinear, mixed integer programming, stochastic optimization) for risk assessment and operational decision making. Lead end to end model development: problem framing, data processing, feature engineering, modeling, validation, implementation, and monitoring. Work with cross functional partners to translate analytical insights into business actions. Work with large scale datasets using SQL or similar tools and implement robust data pipelines. Apply creativity and domain expertise to evaluate and improve model performance and interpretability. Contribute to continuous innovation in optimization, ML, and AI practices across the organization. Qualifications: Education (minimum requirement) Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a closely related field with strong optimization focus. PhD preferred. Experience 5+ years of industry experience in building optimization or machine learning solutions. 5+ years hands on experience with data processing, modeling, and advanced analytics using Python or R. 3+ years experience working with large datasets using SQL or similar technologies. Proven experience leading full cycle data science or optimization projects from ideation to deployment. Hands on experience with cloud based analytics and machine learning platforms, preferably Azure Databricks Technical Skills Strong Knowledge & Practical Experience in: Optimization methods: Linear / Non linear programming Mixed integer optimization Metaheuristics (GA, simulated annealing, evolutionary algorithms) Stochastic and robust optimization Core Machine Learning algorithms: Tree based models, gradient boosting Clustering & unsupervised learning Neural networks and deep learning fundamentals Simulation Model evaluation, validation, and experimentation Data wrangling, feature engineering, and pipeline design ML engineering practices following MLOps principles (model tracking, reproducibility, deployment) Preferred Qualifications Experience in risk management, insurance, or operations modeling. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
BMO Financial
Chicago Heights, Illinois
Application Deadline: 06/29/2026 Address: 1630 Chicago Road Job Family Group: Technology We are seeking an enthusiastic and passionate professional for a Senior Azure Cloud Engineer position. With experience in Azure cloud services, this role will support core business and technology cloud initiatives, with a focus on the Bank's multi-year cloud technology roadmap, facilitating innovation and adoption of Azure technologies. We collaborate with Enterprise Architecture and business technology stakeholders, connecting subject matter experts with business, information, domain, and solution architecture. Your skills are broad - designing, documenting, and implementing cloud and application patterns, participating in the review of patterns with other stakeholders, working with cloud engineering team members and stakeholders to codify best practices and advising business technology teams on the use of cloud patterns to develop application solution designs. You are a self-starter, driven, and can handle multiple projects and priorities. You are passionate about driving the DevOps mindset and culture in a fast-paced, challenging environment where you will get the opportunity to work with a spectrum of the latest tools and technologies to drive forward "Infrastructure-as-Code" and "Infrastructure-as-a-Service". As a qualified candidate, you will be part of the team driving BMO's Cloud implementation. As a member of this team, you should possess the ability to inspire yourself and our team. Based on your previous experiences you will inject new knowledge and skills into an already high performing team thus accelerating our efforts to new heights. Your Responsibilities: Design, implement and secure cloud IaaS, PaaS, and higher services in Azure Create and integrate BMO Cloud Products, core, and shared services Develop patterns for automated provisioning, management, scalability, and security Ensure that all cloud solutions follow internally defined security and compliance standards and controls Design and plan enterprise-scale cloud environments including application dependencies, data storage and flow, network connectivity, and overall cloud hosting Develop and maintain up-to-date architectural templates, build an operational documentation of the technical environment Required Core Skills: Around 3+ years of experience as a Cloud Infrastructure Engineer Around 5+ relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Deep and broad knowledge of Azure services and experience building solutions on the cloud Deep and broad general IT knowledge as well as hands-on experience in different areas such as networking, infrastructure, security, solutions architecture and design, OS (Linux/Windows), common protocols and services, identity and access management, automation, troubleshooting, etc. Demonstrated knowledge of cloud provisioning and administration, cloud interoperability, cloud disaster recovery, and business continuity strategies, as well as performance measurement and monitoring in the cloud on a large scale Solid experience creating CI/CD pipelines to manage infrastructure deployment and code deployment. Should have sound experience provisioning Cloud Services as well as their design and architecture components: IaC: Terraform, Bicep, ARM, CDKTF Programming: Typescript, Python, NodeJS Pipeline: Github Action, CICD, Build/Deploy, Azure DevOps Azure Services: Azure Storage Account, Azure Key Vault, Azure VM/VMSS, Azure Container Apps, Azure ACR, Azure Functions, Azure SQLMI/SQLDB, Azure CosmosDB Strong programming skills with experience in API and Webhook development using Python, Node.js, Ruby, PowerShell, and Shell Scripting languages. Quickly understand organizational dynamics and management priorities, and to be able to work effectively in a fast-paced, results-driven company. Demonstrate strong facilitation, negotiation, interpersonal, communication and collaboration skills. Proven and demonstrable experience in architecting, designing, and implementing high volume, high availability cloud applications with a very high degree of automation Excellent communication skills for providing specialized consulting, analytical and technical support to internal team members and external CIO Business teams Other Skills: Degree in Computer Science, Engineering and or equivalent industry experience Strong interpersonal, communication and leadership Skills A critical thinker with strong research, analytics, and problem-solving skills Self-motivated with a positive attitude and an ability to work independently and or in a team Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders Time management skills with the ability to manage multiple streams and lead less experienced engineers Salary : $81,400.00 - $151,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Application Deadline: 06/29/2026 Address: 1630 Chicago Road Job Family Group: Technology We are seeking an enthusiastic and passionate professional for a Senior Azure Cloud Engineer position. With experience in Azure cloud services, this role will support core business and technology cloud initiatives, with a focus on the Bank's multi-year cloud technology roadmap, facilitating innovation and adoption of Azure technologies. We collaborate with Enterprise Architecture and business technology stakeholders, connecting subject matter experts with business, information, domain, and solution architecture. Your skills are broad - designing, documenting, and implementing cloud and application patterns, participating in the review of patterns with other stakeholders, working with cloud engineering team members and stakeholders to codify best practices and advising business technology teams on the use of cloud patterns to develop application solution designs. You are a self-starter, driven, and can handle multiple projects and priorities. You are passionate about driving the DevOps mindset and culture in a fast-paced, challenging environment where you will get the opportunity to work with a spectrum of the latest tools and technologies to drive forward "Infrastructure-as-Code" and "Infrastructure-as-a-Service". As a qualified candidate, you will be part of the team driving BMO's Cloud implementation. As a member of this team, you should possess the ability to inspire yourself and our team. Based on your previous experiences you will inject new knowledge and skills into an already high performing team thus accelerating our efforts to new heights. Your Responsibilities: Design, implement and secure cloud IaaS, PaaS, and higher services in Azure Create and integrate BMO Cloud Products, core, and shared services Develop patterns for automated provisioning, management, scalability, and security Ensure that all cloud solutions follow internally defined security and compliance standards and controls Design and plan enterprise-scale cloud environments including application dependencies, data storage and flow, network connectivity, and overall cloud hosting Develop and maintain up-to-date architectural templates, build an operational documentation of the technical environment Required Core Skills: Around 3+ years of experience as a Cloud Infrastructure Engineer Around 5+ relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Deep and broad knowledge of Azure services and experience building solutions on the cloud Deep and broad general IT knowledge as well as hands-on experience in different areas such as networking, infrastructure, security, solutions architecture and design, OS (Linux/Windows), common protocols and services, identity and access management, automation, troubleshooting, etc. Demonstrated knowledge of cloud provisioning and administration, cloud interoperability, cloud disaster recovery, and business continuity strategies, as well as performance measurement and monitoring in the cloud on a large scale Solid experience creating CI/CD pipelines to manage infrastructure deployment and code deployment. Should have sound experience provisioning Cloud Services as well as their design and architecture components: IaC: Terraform, Bicep, ARM, CDKTF Programming: Typescript, Python, NodeJS Pipeline: Github Action, CICD, Build/Deploy, Azure DevOps Azure Services: Azure Storage Account, Azure Key Vault, Azure VM/VMSS, Azure Container Apps, Azure ACR, Azure Functions, Azure SQLMI/SQLDB, Azure CosmosDB Strong programming skills with experience in API and Webhook development using Python, Node.js, Ruby, PowerShell, and Shell Scripting languages. Quickly understand organizational dynamics and management priorities, and to be able to work effectively in a fast-paced, results-driven company. Demonstrate strong facilitation, negotiation, interpersonal, communication and collaboration skills. Proven and demonstrable experience in architecting, designing, and implementing high volume, high availability cloud applications with a very high degree of automation Excellent communication skills for providing specialized consulting, analytical and technical support to internal team members and external CIO Business teams Other Skills: Degree in Computer Science, Engineering and or equivalent industry experience Strong interpersonal, communication and leadership Skills A critical thinker with strong research, analytics, and problem-solving skills Self-motivated with a positive attitude and an ability to work independently and or in a team Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders Time management skills with the ability to manage multiple streams and lead less experienced engineers Salary : $81,400.00 - $151,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
