At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm. KPMG is currently seeking a Senior Associate to join our Accounting Methods and Credit Services practice. Responsibilities: Work with multi-disciplinary teams to conduct Research and Development (R&D) Tax Credit consulting services, including leading client interviews and discussions, performing tax technical research and developing business and industry expertise Understand common software development methodologies, object orientated programming concepts and database management system design patterns Conduct SME interviews including review of documentation to translate technical software development activities into tax definitions for qualified research and development Analyze technical documents to ascertain and document tax treatment of items Construct technical narratives to accurately and efficiently convey technical concepts using standard industry terminology Work with cross functional team of KPMG engineers to conduct research and development (R&D) tax credit consulting services, including leading client interviews with technical subject matter experts, performing technical research to ensuring findings conform with current tax law, including section 41 guidelines and developing expertise across a wide range of businesses and industries Qualifications: Minimum two years of recent full-time industry experience in product management, technology sales or technology consulting experience Bachelor's degree in Computer Science / Engineering, MIS, or equivalent degree from an accredited college or university Proficiency in at least one programming language such as Java, C, C++, C#, Visual Basic, or similar, in addition to working knowledge of SQL, database concepts, common software design patterns, data structures and algorithms, with working knowledge of cloud computing (AWS, Azure) Knowledge of common computer infrastructure concepts, web-based or n-tiered architectures, performance tuning of databases and middleware Excellent written and verbal communication skills with demonstrated experience in engaging senior technical management, solution and enterprise architects and owners to gather requirements, assist with technical sales or conduct technology evaluations Ability to travel and work at client locations 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.
08/05/2026
Full time
At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm. KPMG is currently seeking a Senior Associate to join our Accounting Methods and Credit Services practice. Responsibilities: Work with multi-disciplinary teams to conduct Research and Development (R&D) Tax Credit consulting services, including leading client interviews and discussions, performing tax technical research and developing business and industry expertise Understand common software development methodologies, object orientated programming concepts and database management system design patterns Conduct SME interviews including review of documentation to translate technical software development activities into tax definitions for qualified research and development Analyze technical documents to ascertain and document tax treatment of items Construct technical narratives to accurately and efficiently convey technical concepts using standard industry terminology Work with cross functional team of KPMG engineers to conduct research and development (R&D) tax credit consulting services, including leading client interviews with technical subject matter experts, performing technical research to ensuring findings conform with current tax law, including section 41 guidelines and developing expertise across a wide range of businesses and industries Qualifications: Minimum two years of recent full-time industry experience in product management, technology sales or technology consulting experience Bachelor's degree in Computer Science / Engineering, MIS, or equivalent degree from an accredited college or university Proficiency in at least one programming language such as Java, C, C++, C#, Visual Basic, or similar, in addition to working knowledge of SQL, database concepts, common software design patterns, data structures and algorithms, with working knowledge of cloud computing (AWS, Azure) Knowledge of common computer infrastructure concepts, web-based or n-tiered architectures, performance tuning of databases and middleware Excellent written and verbal communication skills with demonstrated experience in engaging senior technical management, solution and enterprise architects and owners to gather requirements, assist with technical sales or conduct technology evaluations Ability to travel and work at client locations 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.
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
08/05/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
Job Description Job Description Description: On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -08 Responsibilities: Lead design and development of low-latency, high-throughput trading systems and workflows. Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation. Build research and backtesting frameworks integrating AI models with historical data. Translate quantitative and ML research into production-ready, resilient systems. Integrate AI models into real-time and batch pipelines. Optimize analytics and model evaluation for performance, stability, and scalability. Collaborate with quants, product owners, and engineering on deployment and monitoring. Support production systems and participate in on-call rotations, including occasional weekend support. Experience Requirements: 10+ years of professional experience in quantitative finance or trading systems. Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics. Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems. Experience with large-scale, high-frequency, or noisy datasets. Solid software engineering practices including Git, testing, and modular design. Experience with AI developer assist tools such as GitHub Copilot. Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy. Hands-on experience with AWS or other cloud platforms. Familiarity with Java or other object-oriented languages. Experience with Linux, shell scripting, and production support. Clear communication with quants, traders, and engineers. Education Requirements: Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
08/05/2026
Full time
Job Description Job Description Description: On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -08 Responsibilities: Lead design and development of low-latency, high-throughput trading systems and workflows. Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation. Build research and backtesting frameworks integrating AI models with historical data. Translate quantitative and ML research into production-ready, resilient systems. Integrate AI models into real-time and batch pipelines. Optimize analytics and model evaluation for performance, stability, and scalability. Collaborate with quants, product owners, and engineering on deployment and monitoring. Support production systems and participate in on-call rotations, including occasional weekend support. Experience Requirements: 10+ years of professional experience in quantitative finance or trading systems. Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics. Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems. Experience with large-scale, high-frequency, or noisy datasets. Solid software engineering practices including Git, testing, and modular design. Experience with AI developer assist tools such as GitHub Copilot. Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy. Hands-on experience with AWS or other cloud platforms. Familiarity with Java or other object-oriented languages. Experience with Linux, shell scripting, and production support. Clear communication with quants, traders, and engineers. Education Requirements: Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.
08/05/2026
Full time
Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.
Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.
08/05/2026
Full time
Job Description Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward-always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same. Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. . Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions. Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner. Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary. Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind. Organize the highest levels of systems and infrastructure availability, acting proactively Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks Be effective in maintaining SmithRX security program controls and best practices. Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2. Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization. Be a part of on-call PagerDuty rotations. What you will bring to SmithRx: 5+ years of experience in Cloud Engineering. BS or advanced degree in computer science or other related field. Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS. Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards. Experience managing change management practices, policies and procedures. Experience deploying and monitoring applications in AWS at scale. Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles. Experience building and maintaining a container based infrastructure and Kubernetes Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices. Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging. Experience with FinOps practices and establishing related governance programs. Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions. Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred. Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB PostgreSQL, BigQuery, and Snowflake Strong scripting skills in Python, Shell etc. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities Location: U.S. Remote Compensation & Benefits Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience. Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.
Job Description Job Description Velocitor Solutions is a leader in enterprise fleet management and mobile innovation, celebrating over 25 years of profitably growing technology. We go beyond standard telematics by offering a comprehensive, managed ecosystem-managing over 200,000 mobile assets for Fortune 500 clients across North America. Our V-Track platform integrates GPS tracking, AI-powered video telematics, and real-time data to drive safety and efficiency. We are in a pivotal phase of growth and looking to expand technology team. Why Join Velocitor Solutions You'll own critical infrastructure and network outcomes in a high-availability environment where reliability, security, and operational excellence directly impact customers. You'll also help modernize and simplify our stack (including virtualization evolution and cloud optimization) while partnering closely with product, managed services, and vendors to deliver measurable improvements. Position Summary The Senior Network / Infrastructure Engineer is responsible for the design, implementation, maintenance, and optimization of Velocitor Solutions' network, server, virtualization, cloud, and security infrastructure. This role ensures the availability, reliability, performance, and security of enterprise systems supporting business operations and customer-facing platforms. The Senior Network / Infrastructure Engineer serves as a technical lead for infrastructure initiatives and collaborates with internal teams, vendors, and stakeholders to deliver scalable and secure technology solutions. Essential Duties and Responsibilities Infrastructure Administration Administer and maintain VMware vSphere, ESX, and ESXi environments, including system upgrades, patch management, performance tuning, capacity planning, backup, disaster recovery, and troubleshooting. Support infrastructure modernization efforts, including virtualization platform migrations and cloud integration projects. Manage enterprise storage and compute platforms, including SAN, NAS, and converged infrastructure solutions. Monitor system performance and implement improvements to maximize reliability and efficiency. Cloud & Platform Management Administer Microsoft Azure environments, including networking, compute resources, storage, monitoring, security, and cost management. Deploy, manage, and support Kubernetes clusters and containerized applications. Support Docker environments, image repositories, runtime security, and application scalability. Configure and maintain load balancing solutions and associated network services. Network Engineering Design, implement, maintain, and troubleshoot enterprise LAN, WAN, wireless, voice, and video network environments. Configure and support routers, switches, firewalls, VPNs, VLANs, QoS, DHCP, DNS, and related technologies. Monitor network performance and resolve connectivity, latency, and security issues. Maintain secure remote access solutions and network security controls. Security & Compliance Manage secure data transfer systems, including SFTP and managed file transfer platforms. Maintain SSL/TLS certificates and encryption technologies across infrastructure platforms. Assist with vulnerability remediation, security hardening, and compliance-related initiatives. Support audits and security assessments as required. Operational Excellence Develop and implement automation solutions to improve operational efficiency and system reliability. Maintain monitoring, alerting, logging, and performance management systems. Participate in incident response, root cause analysis, and corrective action planning. Participate in on-call support rotations and after-hours maintenance activities as needed. Documentation & Collaboration Create and maintain technical documentation, diagrams, standards, procedures, and runbooks. Collaborate with software development, product, support, and business teams to support organizational initiatives. Coordinate with vendors and third-party service providers to resolve issues and implement solutions. Provide technical guidance and mentorship to junior team members when appropriate. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field; equivalent experience may be considered. Minimum of five (5) years of experience in a senior-level network or infrastructure engineering role. Strong experience supporting enterprise VMware environments. Strong experience administering Microsoft Azure environments. Hands-on experience with Kubernetes and containerized application platforms. Extensive knowledge of TCP/IP networking, routing, switching, VPNs, wireless networking, and network security. Experience administering enterprise firewalls, including SonicWall, Cisco ASA, or Palo Alto. Experience with Windows Server, Active Directory, Group Policy, and Microsoft Exchange environments. Working knowledge of Microsoft SQL Server administration and support. Strong troubleshooting, analytical, and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Industry certifications such as CCNA, CCNP, VCP, NCP, Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Security+, or equivalent. Experience with Nutanix platforms and virtualization migrations. Experience with Cisco UCS, NetApp storage solutions, and FlexPod environments. Experience with IIS, Tomcat, and enterprise email security solutions. Experience supporting monitoring, endpoint management, backup, and disaster recovery platforms. Knowledge, Skills, and Abilities Strong understanding of enterprise infrastructure architecture and best practices. Ability to manage multiple projects and priorities simultaneously. Ability to work independently with minimal supervision. Strong organizational and documentation skills. Ability to identify opportunities for process improvement and automation. Commitment to maintaining secure, reliable, and scalable technology environments. Physical Requirements Ability to sit for extended periods while working at a computer. Ability to occasionally lift and carry equipment weighing up to 50 pounds. Ability to work in server rooms and data center environments. Ability to travel occasionally between company locations or vendor sites as needed. Working Conditions Primarily office-based environment. Occasional after-hours, weekend, or emergency support may be required. Participation in on-call support rotations is required. Velocitor Solutions is an Equal Opportunity Employer and values diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable law. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page.
08/04/2026
Full time
Job Description Job Description Velocitor Solutions is a leader in enterprise fleet management and mobile innovation, celebrating over 25 years of profitably growing technology. We go beyond standard telematics by offering a comprehensive, managed ecosystem-managing over 200,000 mobile assets for Fortune 500 clients across North America. Our V-Track platform integrates GPS tracking, AI-powered video telematics, and real-time data to drive safety and efficiency. We are in a pivotal phase of growth and looking to expand technology team. Why Join Velocitor Solutions You'll own critical infrastructure and network outcomes in a high-availability environment where reliability, security, and operational excellence directly impact customers. You'll also help modernize and simplify our stack (including virtualization evolution and cloud optimization) while partnering closely with product, managed services, and vendors to deliver measurable improvements. Position Summary The Senior Network / Infrastructure Engineer is responsible for the design, implementation, maintenance, and optimization of Velocitor Solutions' network, server, virtualization, cloud, and security infrastructure. This role ensures the availability, reliability, performance, and security of enterprise systems supporting business operations and customer-facing platforms. The Senior Network / Infrastructure Engineer serves as a technical lead for infrastructure initiatives and collaborates with internal teams, vendors, and stakeholders to deliver scalable and secure technology solutions. Essential Duties and Responsibilities Infrastructure Administration Administer and maintain VMware vSphere, ESX, and ESXi environments, including system upgrades, patch management, performance tuning, capacity planning, backup, disaster recovery, and troubleshooting. Support infrastructure modernization efforts, including virtualization platform migrations and cloud integration projects. Manage enterprise storage and compute platforms, including SAN, NAS, and converged infrastructure solutions. Monitor system performance and implement improvements to maximize reliability and efficiency. Cloud & Platform Management Administer Microsoft Azure environments, including networking, compute resources, storage, monitoring, security, and cost management. Deploy, manage, and support Kubernetes clusters and containerized applications. Support Docker environments, image repositories, runtime security, and application scalability. Configure and maintain load balancing solutions and associated network services. Network Engineering Design, implement, maintain, and troubleshoot enterprise LAN, WAN, wireless, voice, and video network environments. Configure and support routers, switches, firewalls, VPNs, VLANs, QoS, DHCP, DNS, and related technologies. Monitor network performance and resolve connectivity, latency, and security issues. Maintain secure remote access solutions and network security controls. Security & Compliance Manage secure data transfer systems, including SFTP and managed file transfer platforms. Maintain SSL/TLS certificates and encryption technologies across infrastructure platforms. Assist with vulnerability remediation, security hardening, and compliance-related initiatives. Support audits and security assessments as required. Operational Excellence Develop and implement automation solutions to improve operational efficiency and system reliability. Maintain monitoring, alerting, logging, and performance management systems. Participate in incident response, root cause analysis, and corrective action planning. Participate in on-call support rotations and after-hours maintenance activities as needed. Documentation & Collaboration Create and maintain technical documentation, diagrams, standards, procedures, and runbooks. Collaborate with software development, product, support, and business teams to support organizational initiatives. Coordinate with vendors and third-party service providers to resolve issues and implement solutions. Provide technical guidance and mentorship to junior team members when appropriate. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field; equivalent experience may be considered. Minimum of five (5) years of experience in a senior-level network or infrastructure engineering role. Strong experience supporting enterprise VMware environments. Strong experience administering Microsoft Azure environments. Hands-on experience with Kubernetes and containerized application platforms. Extensive knowledge of TCP/IP networking, routing, switching, VPNs, wireless networking, and network security. Experience administering enterprise firewalls, including SonicWall, Cisco ASA, or Palo Alto. Experience with Windows Server, Active Directory, Group Policy, and Microsoft Exchange environments. Working knowledge of Microsoft SQL Server administration and support. Strong troubleshooting, analytical, and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Industry certifications such as CCNA, CCNP, VCP, NCP, Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Security+, or equivalent. Experience with Nutanix platforms and virtualization migrations. Experience with Cisco UCS, NetApp storage solutions, and FlexPod environments. Experience with IIS, Tomcat, and enterprise email security solutions. Experience supporting monitoring, endpoint management, backup, and disaster recovery platforms. Knowledge, Skills, and Abilities Strong understanding of enterprise infrastructure architecture and best practices. Ability to manage multiple projects and priorities simultaneously. Ability to work independently with minimal supervision. Strong organizational and documentation skills. Ability to identify opportunities for process improvement and automation. Commitment to maintaining secure, reliable, and scalable technology environments. Physical Requirements Ability to sit for extended periods while working at a computer. Ability to occasionally lift and carry equipment weighing up to 50 pounds. Ability to work in server rooms and data center environments. Ability to travel occasionally between company locations or vendor sites as needed. Working Conditions Primarily office-based environment. Occasional after-hours, weekend, or emergency support may be required. Participation in on-call support rotations is required. Velocitor Solutions is an Equal Opportunity Employer and values diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable law. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page.
Job Description Job Description Job description POSITION SUMMARY: Under the direction of the Director of Operations, the Systems Engineer is responsible for ensuring the stability, integrity, and efficient operation of the in-house information systems that support core organizational functions as well as any external customers of BlueBridge Networks. RESPONSIBILITIES: Proactively manage, administer and maintain Firewalls, switches, and routing equipment for Bluebridge Networks and its customers. Manage and maintain network infrastructure including LAN, WAN, WWAN, and Internet connections. Install, maintain and support Windows based server infrastructure and roles including AD, DNS, DHCP, SQL, RDS, IIS. Configure, maintain, and support customer infrastructure as needed. Monitor network security to protect against external, internal, and/or programmatic attacks. Assist in defining overall network security strategies and procedures. Manage and maintain successful backup and continuity solutions in primary and secondary locations, as well as customer sites. Utilize network monitoring software to ensure timely alerts and response to network issues. Integrate servers, including database, e-mail, print, and backup servers and their associated software into enterprise systems. Serve as an escalation point for network systems operational issues. Create and maintain documentation as it relates to system configuration, mapping, processes, and service records. Investigate developing network technologies and provide recommendations regarding the future application of such technologies and related productivity gains. Participate in on-call rotation and respond to after-hours issues in a timely manner based upon severity and/or business impact. Minimum of 3 - 5 years of related experience. About BlueBridge Networks Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our company's best-in-class Datacenter Services, including Virtualization, Cloud Computing, Disaster Recovery and Managed Storage and Services, maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, BlueBridge maintains the highest standards for uptime, quality and service, backed by the most powerful Service Level Guarantees in the industry. Company Description Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our customer's utilize the best-in-class Cloud Services, Data Center Services and Backup/Replication Services. An ideal candidate will be able maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, as well as access to worldwide cloud nodes, BlueBridge maintains the highest standards for up-time, quality and service, backed by the most powerful Service Level Guarantees in the industry. Company Description Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our customer's utilize the best-in-class Cloud Services, Data Center Services and Backup/Replication Services. An ideal candidate will be able maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, as well as access to worldwide cloud nodes, BlueBridge maintains the highest standards for up-time, quality and service, backed by the most powerful Service Level Guarantees in the industry.
08/04/2026
Full time
Job Description Job Description Job description POSITION SUMMARY: Under the direction of the Director of Operations, the Systems Engineer is responsible for ensuring the stability, integrity, and efficient operation of the in-house information systems that support core organizational functions as well as any external customers of BlueBridge Networks. RESPONSIBILITIES: Proactively manage, administer and maintain Firewalls, switches, and routing equipment for Bluebridge Networks and its customers. Manage and maintain network infrastructure including LAN, WAN, WWAN, and Internet connections. Install, maintain and support Windows based server infrastructure and roles including AD, DNS, DHCP, SQL, RDS, IIS. Configure, maintain, and support customer infrastructure as needed. Monitor network security to protect against external, internal, and/or programmatic attacks. Assist in defining overall network security strategies and procedures. Manage and maintain successful backup and continuity solutions in primary and secondary locations, as well as customer sites. Utilize network monitoring software to ensure timely alerts and response to network issues. Integrate servers, including database, e-mail, print, and backup servers and their associated software into enterprise systems. Serve as an escalation point for network systems operational issues. Create and maintain documentation as it relates to system configuration, mapping, processes, and service records. Investigate developing network technologies and provide recommendations regarding the future application of such technologies and related productivity gains. Participate in on-call rotation and respond to after-hours issues in a timely manner based upon severity and/or business impact. Minimum of 3 - 5 years of related experience. About BlueBridge Networks Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our company's best-in-class Datacenter Services, including Virtualization, Cloud Computing, Disaster Recovery and Managed Storage and Services, maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, BlueBridge maintains the highest standards for uptime, quality and service, backed by the most powerful Service Level Guarantees in the industry. Company Description Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our customer's utilize the best-in-class Cloud Services, Data Center Services and Backup/Replication Services. An ideal candidate will be able maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, as well as access to worldwide cloud nodes, BlueBridge maintains the highest standards for up-time, quality and service, backed by the most powerful Service Level Guarantees in the industry. Company Description Headquartered in Cleveland, Ohio, BlueBridge Networks is the region's leading total technology solutions provider. Our customer's utilize the best-in-class Cloud Services, Data Center Services and Backup/Replication Services. An ideal candidate will be able maximize the opportunity for businesses to get their messages across, save cost and remain highly available for their customers. With a network of state-of-the-art, geographically diverse collocation facilities located in Cleveland, Mayfield Heights, and Columbus, as well as access to worldwide cloud nodes, BlueBridge maintains the highest standards for up-time, quality and service, backed by the most powerful Service Level Guarantees in the industry.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/04/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/04/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/04/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years' experience, an Associate's degree and 10 years' experience, a Bachelors degree and 8 years' experience, or a Master's and 6 years' experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security - Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect - Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson's Macro Helix division has an opportunity for a Senior Associate Software Engineer. In this role, you will need to develop and maintain state of the art solutions using latest technology. Role Overview Responsible for the software applications development function including analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications or products. Will also have responsibility for testing and documentation. Analyzes and investigates applications engineering tasks and prepares design specifications, analysis, and recommendations. Ensures that system improvements are successfully implemented and monitored to increase efficiency. Creates systems software engineering policies, standards and procedures. Demonstrates competence in own area, and has mastered most of the basic job functions. May still be acquiring higher skill level, and gaining exposure to more complex tasks within job function. Typically works with moderate guidance in area of knowledge. Includes those who have completed formal training programs. Full use and application of standard principles, theories, concepts, and techniques. Still developing skills and knowledge necessary at career level. Provides resolutions to an assortment of problems of moderately complex scope. Uses judgment within defined practices and procedures. Handles projects which have short term focus. Works under normal supervision. Incumbents still occasionally directed on several aspects of their work. Follows established directions. Work is reviewed for accuracy and overall adequacy Key Responsibilities Analyze existing software and develop secure solution Develop, test, implement, maintain applications Work closely with QA and Product Owners throughout development cycle Actively participate in Agile Ceremonies: Daily Stand-ups/ Sprint Planning/ Refinements / Retrospective/ Demos Give presentations of work done to product owners and stakeholders Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Prepare and deploy solutions by determining and designing system specifications, standards and programming Updates knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment Work independently or collaborate with the team Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4+ year degree in computer science or related field Critical Skills Language Proficiency: 2+ years of experience with C# and SQL Proficiency in functional programming/API development and management Additional Knowledge & Skills Agile Methodology 2+ years of experience Visual Studios 2012 or higher Source code management with GitHub Other Technical Experience: 2+ years of experience working with Angular JS, Material Design, CSS Excellent written and verbal communication skills PaaS Development with Azure Cloud This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,600 - $144,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/03/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson's Macro Helix division has an opportunity for a Senior Associate Software Engineer. In this role, you will need to develop and maintain state of the art solutions using latest technology. Role Overview Responsible for the software applications development function including analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications or products. Will also have responsibility for testing and documentation. Analyzes and investigates applications engineering tasks and prepares design specifications, analysis, and recommendations. Ensures that system improvements are successfully implemented and monitored to increase efficiency. Creates systems software engineering policies, standards and procedures. Demonstrates competence in own area, and has mastered most of the basic job functions. May still be acquiring higher skill level, and gaining exposure to more complex tasks within job function. Typically works with moderate guidance in area of knowledge. Includes those who have completed formal training programs. Full use and application of standard principles, theories, concepts, and techniques. Still developing skills and knowledge necessary at career level. Provides resolutions to an assortment of problems of moderately complex scope. Uses judgment within defined practices and procedures. Handles projects which have short term focus. Works under normal supervision. Incumbents still occasionally directed on several aspects of their work. Follows established directions. Work is reviewed for accuracy and overall adequacy Key Responsibilities Analyze existing software and develop secure solution Develop, test, implement, maintain applications Work closely with QA and Product Owners throughout development cycle Actively participate in Agile Ceremonies: Daily Stand-ups/ Sprint Planning/ Refinements / Retrospective/ Demos Give presentations of work done to product owners and stakeholders Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Prepare and deploy solutions by determining and designing system specifications, standards and programming Updates knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment Work independently or collaborate with the team Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4+ year degree in computer science or related field Critical Skills Language Proficiency: 2+ years of experience with C# and SQL Proficiency in functional programming/API development and management Additional Knowledge & Skills Agile Methodology 2+ years of experience Visual Studios 2012 or higher Source code management with GitHub Other Technical Experience: 2+ years of experience working with Angular JS, Material Design, CSS Excellent written and verbal communication skills PaaS Development with Azure Cloud This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,600 - $144,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson's Macro Helix division has an opportunity for a Senior Associate Software Engineer. In this role, you will need to develop and maintain state of the art solutions using latest technology. Role Overview Responsible for the software applications development function including analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications or products. Will also have responsibility for testing and documentation. Analyzes and investigates applications engineering tasks and prepares design specifications, analysis, and recommendations. Ensures that system improvements are successfully implemented and monitored to increase efficiency. Creates systems software engineering policies, standards and procedures. Demonstrates competence in own area, and has mastered most of the basic job functions. May still be acquiring higher skill level, and gaining exposure to more complex tasks within job function. Typically works with moderate guidance in area of knowledge. Includes those who have completed formal training programs. Full use and application of standard principles, theories, concepts, and techniques. Still developing skills and knowledge necessary at career level. Provides resolutions to an assortment of problems of moderately complex scope. Uses judgment within defined practices and procedures. Handles projects which have short term focus. Works under normal supervision. Incumbents still occasionally directed on several aspects of their work. Follows established directions. Work is reviewed for accuracy and overall adequacy Key Responsibilities Analyze existing software and develop secure solution Develop, test, implement, maintain applications Work closely with QA and Product Owners throughout development cycle Actively participate in Agile Ceremonies: Daily Stand-ups/ Sprint Planning/ Refinements / Retrospective/ Demos Give presentations of work done to product owners and stakeholders Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Prepare and deploy solutions by determining and designing system specifications, standards and programming Updates knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment Work independently or collaborate with the team Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4+ year degree in computer science or related field Critical Skills Language Proficiency: 2+ years of experience with C# and SQL Proficiency in functional programming/API development and management Additional Knowledge & Skills Agile Methodology 2+ years of experience Visual Studios 2012 or higher Source code management with GitHub Other Technical Experience: 2+ years of experience working with Angular JS, Material Design, CSS Excellent written and verbal communication skills PaaS Development with Azure Cloud This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,600 - $144,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/03/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson's Macro Helix division has an opportunity for a Senior Associate Software Engineer. In this role, you will need to develop and maintain state of the art solutions using latest technology. Role Overview Responsible for the software applications development function including analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications or products. Will also have responsibility for testing and documentation. Analyzes and investigates applications engineering tasks and prepares design specifications, analysis, and recommendations. Ensures that system improvements are successfully implemented and monitored to increase efficiency. Creates systems software engineering policies, standards and procedures. Demonstrates competence in own area, and has mastered most of the basic job functions. May still be acquiring higher skill level, and gaining exposure to more complex tasks within job function. Typically works with moderate guidance in area of knowledge. Includes those who have completed formal training programs. Full use and application of standard principles, theories, concepts, and techniques. Still developing skills and knowledge necessary at career level. Provides resolutions to an assortment of problems of moderately complex scope. Uses judgment within defined practices and procedures. Handles projects which have short term focus. Works under normal supervision. Incumbents still occasionally directed on several aspects of their work. Follows established directions. Work is reviewed for accuracy and overall adequacy Key Responsibilities Analyze existing software and develop secure solution Develop, test, implement, maintain applications Work closely with QA and Product Owners throughout development cycle Actively participate in Agile Ceremonies: Daily Stand-ups/ Sprint Planning/ Refinements / Retrospective/ Demos Give presentations of work done to product owners and stakeholders Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Prepare and deploy solutions by determining and designing system specifications, standards and programming Updates knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment Work independently or collaborate with the team Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4+ year degree in computer science or related field Critical Skills Language Proficiency: 2+ years of experience with C# and SQL Proficiency in functional programming/API development and management Additional Knowledge & Skills Agile Methodology 2+ years of experience Visual Studios 2012 or higher Source code management with GitHub Other Technical Experience: 2+ years of experience working with Angular JS, Material Design, CSS Excellent written and verbal communication skills PaaS Development with Azure Cloud This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $86,600 - $144,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
