Job Description The IT Consultant Sr will provide production support to include system user support, monitoring, troubleshooting, configuring, enhancing and providing advanced business partner support for the existing network and desktop environment; serve as point-of-contact across several areas or disciplines to solve major systems outages with high impact or visibility; provide deployment/implementation support to include planning and executing the implementation of new network designs or configurations or enhancements to the existing network and desktop environment. 40 hours per week. Role requires up to 10% domestic travel as needed. Required Qualifications Include: Role requires a Bachelor's degree in Information Technology, Computer Science, a related field, or a foreign equivalent. Must have 6 years of experience in job offered or related occupation. Must have: 6 years of experience with solution architecture skills/understanding systems integration design; 6 years of experience with technical application support and troubleshooting skills; 6 years of experience with project lifecycle skills (SDLC, waterfall, Agile); 6 years of experience with technical analysis skills (analyze requirements and translate into technical solutions); and 3 years of experience with network monitoring skills (including tools such as Dynatrace). Role requires up to 10% domestic travel as needed. First Horizon Bank at
08/07/2026
Full time
Job Description The IT Consultant Sr will provide production support to include system user support, monitoring, troubleshooting, configuring, enhancing and providing advanced business partner support for the existing network and desktop environment; serve as point-of-contact across several areas or disciplines to solve major systems outages with high impact or visibility; provide deployment/implementation support to include planning and executing the implementation of new network designs or configurations or enhancements to the existing network and desktop environment. 40 hours per week. Role requires up to 10% domestic travel as needed. Required Qualifications Include: Role requires a Bachelor's degree in Information Technology, Computer Science, a related field, or a foreign equivalent. Must have 6 years of experience in job offered or related occupation. Must have: 6 years of experience with solution architecture skills/understanding systems integration design; 6 years of experience with technical application support and troubleshooting skills; 6 years of experience with project lifecycle skills (SDLC, waterfall, Agile); 6 years of experience with technical analysis skills (analyze requirements and translate into technical solutions); and 3 years of experience with network monitoring skills (including tools such as Dynatrace). Role requires up to 10% domestic travel as needed. First Horizon Bank at
Job Description Location: On Site at location listed in posting Weekly Schedule: Monday- Friday, 9am-5pm We are seeking an experienced Azure Database Administrator to design, implement, secure, and optimize cloud database platforms supporting mission-critical applications for our associates and clients. The ideal candidate brings hands-on expertise across Azure SQL Database/Managed Instance, Azure Database for PostgreSQL, and Cosmos DB, with strong performance tuning, automation, and governance skills. Key Responsibilities: Administration and Operations Provision, configure, and maintain Azure database services: Azure SQL Database/Managed Instance, Azure Database for PostgreSQL (Flexible Server/Single Server), and Cosmos DB (including MongoDB API. Manage backups, restores, disaster recovery, and geo-replication; establish RPO/RTO targets and failover procedures/runbooks. Monitor health, capacity, and cost; implement alerting and proactive remediation using Azure Monitor, Log Analytics, and related tooling. Maintain schema changes, index strategies, and maintenance routines (reindex, vacuum/analyze for PostgreSQL, etc). Performance and Reliability Conduct query optimization and tuning (execution plans, indexing, partitioning, caching strategies). Optimize Cosmos DB partition keys, RU throughput, consistency levels, and indexing policies. Tune PostgreSQL settings (autovacuum, checkpointing, work_mem, pg_stat_statements) and SQL Server configurations (tempdb, memory, MAXDOP, I/O). Security, Compliance, and Governance Implement least privilege access, RBAC/ABAC, and Managed Identities; integrate with Azure AD and Privileged Identity Management. Enforce encryption in transit and at rest; manage secrets with Azure Key Vault; configure network isolation (VNets, private endpoints, firewall rules, NSGs). Enable auditing, data masking, and threat detection; maintain compliance with relevant industry standards and internal governance. Collaborate with InfoSec, risk, and audit teams to ensure policy adherence and support periodic reviews. Automation and DevOps Automate administrative tasks using PowerShell, Azure CLI, and scripting (Python/Bash as needed). Implement infrastructure-as-code for database provisioning and configuration (Bicep/ARM/Terraform). Integrate database changes into CI/CD pipelines (Azure DevOps/GitHub), supporting migration scripts, validation, and rollback strategies. Data Lifecycle and Migrations Plan and execute migrations between on-prem and Azure or across Azure services using Azure Database Migration Service, pg_dump/pg_restore, and native SQL tools. Validate data integrity and performance post-migration; coordinate cutover with application teams and associates. Document data retention policies, archival strategies, and lifecycle management. Incident Response and Support Troubleshoot production issues across the data stack; perform root cause analysis and implement permanent fixes. Create clear operational documentation, runbooks, and knowledge base articles. Collaboration and Stakeholder Engagement Partner with application development, SRE, architecture, security, and platform teams to deliver stable, scalable solutions for our clients. Advise on schema design, data modeling, and capacity planning. Provide guidance on best practices for multi-tenant architectures, sharding, and high availability patterns. Required Qualifications: 5+ years of hands-on database administration experience, including: SQL Server (Azure SQL Database/Managed Instance): performance tuning, maintenance, backup/restore, HA/DR. PostgreSQL: configuration, tuning, extension management, replication, backup/restore. Cosmos DB: partitioning strategy, RU management, indexing, consistency, global distribution. Strong Azure expertise: Azure Monitor, Log Analytics, Alerts, Key Vault, Private Link, VNets, RBAC, Managed Identities, Defender for Cloud. Proficiency with scripting and automation: PowerShell and Azure CLI (Python/Bash a plus). Experience with infrastructure-as-code (Bicep/ARM/Terraform) and CI/CD integration (Azure DevOps/GitHub). Proven track record in security hardening, auditing, and compliance-oriented database management. Solid understanding of networking concepts impacting databases (latency, bandwidth, DNS, private endpoints). Preferred Qualifications: Experience with hybrid environments (on-prem SQL Server/PostgreSQL/CosmosDB) and migration to Azure. Familiarity with AKS or containerized workloads interacting with databases. Knowledge of data governance, retention, and archival strategies. Exposure to streaming and integration patterns (Event Hubs, Kafka) and ETL/ELT workflows. Experience supporting highly regulated environments with robust controls and documentation. Education and Certifications: Bachelor's degree in Computer Science, Information Systems, or related field; or equivalent experience. Microsoft Certified: Azure Database Administrator Associate (DP-300) strongly preferred. Microsoft Certified: Azure Fundamentals (AZ-900) or Azure Solutions Architect (AZ-305) a plus. MongoDB Certified DBA and/or PostgreSQL certifications are advantageous. Redis certification or equivalent practical experience appreciated. Core Competencies: Ownership, accountability, and a bias for automation. Clear written and verbal communication with both technical and non-technical associates. Strong analytical and problem-solving skills; calm under pressure during incidents. Collaboration and stakeholder management across multiple teams and priorities. Work Environment: On site in Memphis Tennessee or in First Horizon footprint. After-hours support for deployments, DR tests, and incident response. Compensation: Competitive and commensurate with experience. About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at . Benefit Highlights • Medical with wellness incentives, dental, and vision • HSA with company match • Maternity and parental leave • Tuition reimbursement • Mentor program • 401(k) with 6% match • More -Horizon-National- Corporation/Careers/Our -Benefits Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube
08/07/2026
Full time
Job Description Location: On Site at location listed in posting Weekly Schedule: Monday- Friday, 9am-5pm We are seeking an experienced Azure Database Administrator to design, implement, secure, and optimize cloud database platforms supporting mission-critical applications for our associates and clients. The ideal candidate brings hands-on expertise across Azure SQL Database/Managed Instance, Azure Database for PostgreSQL, and Cosmos DB, with strong performance tuning, automation, and governance skills. Key Responsibilities: Administration and Operations Provision, configure, and maintain Azure database services: Azure SQL Database/Managed Instance, Azure Database for PostgreSQL (Flexible Server/Single Server), and Cosmos DB (including MongoDB API. Manage backups, restores, disaster recovery, and geo-replication; establish RPO/RTO targets and failover procedures/runbooks. Monitor health, capacity, and cost; implement alerting and proactive remediation using Azure Monitor, Log Analytics, and related tooling. Maintain schema changes, index strategies, and maintenance routines (reindex, vacuum/analyze for PostgreSQL, etc). Performance and Reliability Conduct query optimization and tuning (execution plans, indexing, partitioning, caching strategies). Optimize Cosmos DB partition keys, RU throughput, consistency levels, and indexing policies. Tune PostgreSQL settings (autovacuum, checkpointing, work_mem, pg_stat_statements) and SQL Server configurations (tempdb, memory, MAXDOP, I/O). Security, Compliance, and Governance Implement least privilege access, RBAC/ABAC, and Managed Identities; integrate with Azure AD and Privileged Identity Management. Enforce encryption in transit and at rest; manage secrets with Azure Key Vault; configure network isolation (VNets, private endpoints, firewall rules, NSGs). Enable auditing, data masking, and threat detection; maintain compliance with relevant industry standards and internal governance. Collaborate with InfoSec, risk, and audit teams to ensure policy adherence and support periodic reviews. Automation and DevOps Automate administrative tasks using PowerShell, Azure CLI, and scripting (Python/Bash as needed). Implement infrastructure-as-code for database provisioning and configuration (Bicep/ARM/Terraform). Integrate database changes into CI/CD pipelines (Azure DevOps/GitHub), supporting migration scripts, validation, and rollback strategies. Data Lifecycle and Migrations Plan and execute migrations between on-prem and Azure or across Azure services using Azure Database Migration Service, pg_dump/pg_restore, and native SQL tools. Validate data integrity and performance post-migration; coordinate cutover with application teams and associates. Document data retention policies, archival strategies, and lifecycle management. Incident Response and Support Troubleshoot production issues across the data stack; perform root cause analysis and implement permanent fixes. Create clear operational documentation, runbooks, and knowledge base articles. Collaboration and Stakeholder Engagement Partner with application development, SRE, architecture, security, and platform teams to deliver stable, scalable solutions for our clients. Advise on schema design, data modeling, and capacity planning. Provide guidance on best practices for multi-tenant architectures, sharding, and high availability patterns. Required Qualifications: 5+ years of hands-on database administration experience, including: SQL Server (Azure SQL Database/Managed Instance): performance tuning, maintenance, backup/restore, HA/DR. PostgreSQL: configuration, tuning, extension management, replication, backup/restore. Cosmos DB: partitioning strategy, RU management, indexing, consistency, global distribution. Strong Azure expertise: Azure Monitor, Log Analytics, Alerts, Key Vault, Private Link, VNets, RBAC, Managed Identities, Defender for Cloud. Proficiency with scripting and automation: PowerShell and Azure CLI (Python/Bash a plus). Experience with infrastructure-as-code (Bicep/ARM/Terraform) and CI/CD integration (Azure DevOps/GitHub). Proven track record in security hardening, auditing, and compliance-oriented database management. Solid understanding of networking concepts impacting databases (latency, bandwidth, DNS, private endpoints). Preferred Qualifications: Experience with hybrid environments (on-prem SQL Server/PostgreSQL/CosmosDB) and migration to Azure. Familiarity with AKS or containerized workloads interacting with databases. Knowledge of data governance, retention, and archival strategies. Exposure to streaming and integration patterns (Event Hubs, Kafka) and ETL/ELT workflows. Experience supporting highly regulated environments with robust controls and documentation. Education and Certifications: Bachelor's degree in Computer Science, Information Systems, or related field; or equivalent experience. Microsoft Certified: Azure Database Administrator Associate (DP-300) strongly preferred. Microsoft Certified: Azure Fundamentals (AZ-900) or Azure Solutions Architect (AZ-305) a plus. MongoDB Certified DBA and/or PostgreSQL certifications are advantageous. Redis certification or equivalent practical experience appreciated. Core Competencies: Ownership, accountability, and a bias for automation. Clear written and verbal communication with both technical and non-technical associates. Strong analytical and problem-solving skills; calm under pressure during incidents. Collaboration and stakeholder management across multiple teams and priorities. Work Environment: On site in Memphis Tennessee or in First Horizon footprint. After-hours support for deployments, DR tests, and incident response. Compensation: Competitive and commensurate with experience. About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at . Benefit Highlights • Medical with wellness incentives, dental, and vision • HSA with company match • Maternity and parental leave • Tuition reimbursement • Mentor program • 401(k) with 6% match • More -Horizon-National- Corporation/Careers/Our -Benefits Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube
MANTECH seeks a skilled and mission-focused Cloud Support Engineer (CSE) to join our team in Tysons, VA . The Cloud Support Engineer will support hybrid cloud infrastructure operations by providing critical, 24x7 incident response and customer service. You will help troubleshoot complex issues across Linux and Kubernetes environments, collaborate with engineering teams, and ensure enterprise and government customers experience seamless cloud integration and support. Responsibilities include but are not limited to: Diagnosing, resolving, and tracking complex support cases through ServiceNow, phone, and email channels; ensuring all incidents are properly documented and closed in accordance with SLAs Monitoring and triaging incidents triggered by automated alerting systems; following established SOPs and runbooks for investigation and escalation Independently resolving technical issues related to Linux and Kubernetes infrastructure with minimal supervision, escalating only when engineering support is required Partnering with product and backline engineers to reproduce issues, validate fixes, and enhance system stability and documentation Identifying trends or repeat incidents and providing structured feedback to engineering and process improvement teams Delivering high-touch, mission-critical support to government and enterprise customers; ensuring clear, timely, and professional communication during all incident phases Contributing to updating and refining documentation, runbooks, and response procedures to continuously enhance service reliability and efficiency Work Shift - This is for a night shift 10pm-6am position. Schedule to include but not limited to rotating weekends that may be required. Schedule subject to change based on business need. Minimum Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related discipline Education Substitutions: Four (4) years of relevant experience may be substituted for a bachelor's degree An associate's degree and two (2) years of relevant experience may be substituted for a bachelor's degree AWS Cloud Practitioner or Azure Fundamentals (AZ-900): each may substitute 0.5 years' experience CompTIA Security+, ITIL Foundation, CompTIA Network+, or CompTIA A+: each may substitute 1 year experience AWS Solutions Architect Associate, Azure Administrator, Google Cloud Engineer, Cisco CCNA, CompTIA Linux+ Professional, Azure Solutions Architect (AZ-305), Google Professional Cloud Architect, or CISSP: each may substitute 2 years' experience Other relevant certifications: each may substitute 0.5 years' experience Experience in Linux system administration (command-line management, networking, and service operations) Experience working in Kubernetes environments, including container management, basic cluster troubleshooting, and deployment verification Experience with ticketing, alerting, and incident response tools 8140 Compliance (Combination of technical degree or certifications such as CompTIA Network+ CE, CompTIA A+ CE, CompTIA Security+ CE, CCNA Security, CND, etc) Preferred Qualifications: Experience with ServiceNow ticketing, alerting, and incident response tools Experience with ServiceNow Customer Service Management (CSM) module Background supporting IT operations or cloud service environments within DoD or Intelligence Community customers Familiarity with ITIL frameworks, incident lifecycle management, and enterprise support workflows Experience in hybrid or on-prem/cloud integrated environments Proficiency with Google Workspace or Microsoft Office collaboration tools Strong written and verbal communication skills, with the ability to clearly articulate technical issues to both technical and non-technical audiences Demonstrated experience and ability to prioritize, manage, and resolve multiple incidents under pressure Clearance Requirements: An active/current TS is required for this position with the ability to obtain/maintain SCI access 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. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/07/2026
Full time
MANTECH seeks a skilled and mission-focused Cloud Support Engineer (CSE) to join our team in Tysons, VA . The Cloud Support Engineer will support hybrid cloud infrastructure operations by providing critical, 24x7 incident response and customer service. You will help troubleshoot complex issues across Linux and Kubernetes environments, collaborate with engineering teams, and ensure enterprise and government customers experience seamless cloud integration and support. Responsibilities include but are not limited to: Diagnosing, resolving, and tracking complex support cases through ServiceNow, phone, and email channels; ensuring all incidents are properly documented and closed in accordance with SLAs Monitoring and triaging incidents triggered by automated alerting systems; following established SOPs and runbooks for investigation and escalation Independently resolving technical issues related to Linux and Kubernetes infrastructure with minimal supervision, escalating only when engineering support is required Partnering with product and backline engineers to reproduce issues, validate fixes, and enhance system stability and documentation Identifying trends or repeat incidents and providing structured feedback to engineering and process improvement teams Delivering high-touch, mission-critical support to government and enterprise customers; ensuring clear, timely, and professional communication during all incident phases Contributing to updating and refining documentation, runbooks, and response procedures to continuously enhance service reliability and efficiency Work Shift - This is for a night shift 10pm-6am position. Schedule to include but not limited to rotating weekends that may be required. Schedule subject to change based on business need. Minimum Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related discipline Education Substitutions: Four (4) years of relevant experience may be substituted for a bachelor's degree An associate's degree and two (2) years of relevant experience may be substituted for a bachelor's degree AWS Cloud Practitioner or Azure Fundamentals (AZ-900): each may substitute 0.5 years' experience CompTIA Security+, ITIL Foundation, CompTIA Network+, or CompTIA A+: each may substitute 1 year experience AWS Solutions Architect Associate, Azure Administrator, Google Cloud Engineer, Cisco CCNA, CompTIA Linux+ Professional, Azure Solutions Architect (AZ-305), Google Professional Cloud Architect, or CISSP: each may substitute 2 years' experience Other relevant certifications: each may substitute 0.5 years' experience Experience in Linux system administration (command-line management, networking, and service operations) Experience working in Kubernetes environments, including container management, basic cluster troubleshooting, and deployment verification Experience with ticketing, alerting, and incident response tools 8140 Compliance (Combination of technical degree or certifications such as CompTIA Network+ CE, CompTIA A+ CE, CompTIA Security+ CE, CCNA Security, CND, etc) Preferred Qualifications: Experience with ServiceNow ticketing, alerting, and incident response tools Experience with ServiceNow Customer Service Management (CSM) module Background supporting IT operations or cloud service environments within DoD or Intelligence Community customers Familiarity with ITIL frameworks, incident lifecycle management, and enterprise support workflows Experience in hybrid or on-prem/cloud integrated environments Proficiency with Google Workspace or Microsoft Office collaboration tools Strong written and verbal communication skills, with the ability to clearly articulate technical issues to both technical and non-technical audiences Demonstrated experience and ability to prioritize, manage, and resolve multiple incidents under pressure Clearance Requirements: An active/current TS is required for this position with the ability to obtain/maintain SCI access 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. 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-oriented SOFTWARE & SYSTEMS ENGINEER to join our team supporting the Marine Corps in STAFFORD, VA. This position will ensure our technical initiatives are executed optimally utilizing modern DevSecOps, programming, and Systems Engineering principles as well as strong project management discipline to tackle operational problems by creating viable technical solutions for transition through research, development, testing & evaluation. Responsibilities include but are not limited to: Provide senior-level expertise in the research, design, and deployment of complex hardware/software solutions, leading prototyping initiatives and maintaining comprehensive architecture documentation and runbooks. Develop, review, and execute highly detailed engineering artifacts (e.g., SEPs, ICDs) and lead Systems Engineering Technical Review (SETR) milestones from preliminary design through software acceptance. Drive the assessment and integration of transformative technical capabilities across ground, air, maritime, and space platforms within both tactical and enterprise information environments. Design and execute comprehensive Test and Evaluation Strategies (TES/TEMP), conducting rigorous functional, integration, regression, and performance testing to validate system requirements. Define and support rigorous Configuration, Change, and Release Management processes (including Engineering Change Proposals) while leading multi-phase risk management assessments. Oversee operational security compliance (DISA STIGs, GPOs, ACAS), perform system monitoring and root-cause analysis, and provide expert Tier 3 troubleshooting for complex Linux-related issues. Lead coordination efforts with vendors, technical staff, and cross-functional stakeholders across multiple organizations to ensure the timely and successful delivery of capabilities. Minimum Qualifications: Bachelor's degree in engineering, computer engineering, information technology, systems engineering, or a related technical discipline with 5+ years or relevant experience. Must hold an active DoD 8570/ DoDi 8140 IAT Level III certification (e.g., CISSP). Extensive experience directing technical teams through the entire SDLC for complex enterprise or tactical operational problems, providing hands-on engineering down to the component, subcomponent, and circuit level; proven background supporting the Marine Corps Information Environment Enterprise (or similar DoD environments) while adhering to ISO/IEC/IEEE, Military (MIL-STD), and Federal (FED-STD) standards, and managing lifecycle testing (unit, integration, system, acceptance) with rigorous test standards, scripts, and plans. Proficiency designing, deploying, hardening, patching, and maintaining RHEL server infrastructures in production environments, with in-depth technical knowledge of SELinux, fapolicy, systemd, firewall configuration, kernel tuning, and performance optimization to troubleshoot complex system and application issues. Experience leveraging Red Hat Satellite, Ansible, and Automation Platform for configuration management alongside virtualization/containerization (KVM, Podman, Docker, OpenShift), CI/CD pipelines, Git, DevOps workflows, and foundational networking (TCP/IP, DNS, DHCP, routing, firewalls, VLANs), combined with hands-on expertise implementing secure protocols, PKI concepts (CA, CRLs, OCSP, key generation/lifecycle management using OpenSSL and Keytool), and RHEL identity tooling to integrate systems with IdM/FreeIPA, LDAP, Active Directory, and Multi-Factor Authentication (MFA). Self-driven analytical thinker capable of managing priorities in fast-paced environments and delivering technical briefings to senior government organizations (including Officer, Enlisted, and Civilian personnel); highly proficient with the Microsoft Family of Software and Tools (Office, Visio, SharePoint, Project) alongside development/task management capabilities like Jira and Confluence. Preferred Qualifications: Direct experience engineering systems/software in the R&D phase aligning with Technology Readiness Levels (TRL) 4 through 7; deep understanding of UAF and DoDAF artifacts, Model-Based Systems Engineering (MBSE), and lifecycle management to design secure, scalable, and redundant architectures. INCOSE CSEP/ESEP certification is highly desirable. Proven experience utilizing ITIL, ITSM, or similar maturity models within Agile Scaled Environments (SAFe); strong familiarity with Agile software coding principles and possession of professional leadership certifications such as Project Management Professional (PMP), Certified Scrum Master (CSM), or Lean Six Sigma. Familiarity with the Marine Corps Operational Test and Evaluation Activity (MCOTEA), including the MCOTEA Operational Test & Evaluation Manual (6th Edition); experience planning Field User Evaluations and Joint Service Exercise events incorporating Electronic Warfare and Intelligence collection platforms under the Risk Management Framework (RMF). Experience designing, modernizing, and maintaining hybrid cloud environments (AWS, Azure, or private cloud) with the demonstrated ability to seamlessly integrate RHEL and Windows systems with enterprise applications, middleware, and cloud services. Strong proficiency with Bash and Python scripting alongside API interactions (REST, JSON, XML) to drive system integration and automation; familiarity with foundational website development, including CSS and web server setup, configuration, and integration. Clearance Requirements: Must have current and active TS/SCI (or SCI eligible) security clearance with the ability to obtain and maintain a CI Poly. Physical Requirements: Physically capable of supporting field exercises, including lifting up to 50 lbs., traversing rugged terrain, and traveling via military tactical vehicles, ships, and aircraft. Must be able to remain in a stationary/ desk position 50% of the time, occasionally and communicate with co-workers, management, and customers, via email, phone, and/or virtual communication, which may involve clearly delivering briefings/ presentations.
08/07/2026
Full time
MANTECH seeks a motivated, career-oriented SOFTWARE & SYSTEMS ENGINEER to join our team supporting the Marine Corps in STAFFORD, VA. This position will ensure our technical initiatives are executed optimally utilizing modern DevSecOps, programming, and Systems Engineering principles as well as strong project management discipline to tackle operational problems by creating viable technical solutions for transition through research, development, testing & evaluation. Responsibilities include but are not limited to: Provide senior-level expertise in the research, design, and deployment of complex hardware/software solutions, leading prototyping initiatives and maintaining comprehensive architecture documentation and runbooks. Develop, review, and execute highly detailed engineering artifacts (e.g., SEPs, ICDs) and lead Systems Engineering Technical Review (SETR) milestones from preliminary design through software acceptance. Drive the assessment and integration of transformative technical capabilities across ground, air, maritime, and space platforms within both tactical and enterprise information environments. Design and execute comprehensive Test and Evaluation Strategies (TES/TEMP), conducting rigorous functional, integration, regression, and performance testing to validate system requirements. Define and support rigorous Configuration, Change, and Release Management processes (including Engineering Change Proposals) while leading multi-phase risk management assessments. Oversee operational security compliance (DISA STIGs, GPOs, ACAS), perform system monitoring and root-cause analysis, and provide expert Tier 3 troubleshooting for complex Linux-related issues. Lead coordination efforts with vendors, technical staff, and cross-functional stakeholders across multiple organizations to ensure the timely and successful delivery of capabilities. Minimum Qualifications: Bachelor's degree in engineering, computer engineering, information technology, systems engineering, or a related technical discipline with 5+ years or relevant experience. Must hold an active DoD 8570/ DoDi 8140 IAT Level III certification (e.g., CISSP). Extensive experience directing technical teams through the entire SDLC for complex enterprise or tactical operational problems, providing hands-on engineering down to the component, subcomponent, and circuit level; proven background supporting the Marine Corps Information Environment Enterprise (or similar DoD environments) while adhering to ISO/IEC/IEEE, Military (MIL-STD), and Federal (FED-STD) standards, and managing lifecycle testing (unit, integration, system, acceptance) with rigorous test standards, scripts, and plans. Proficiency designing, deploying, hardening, patching, and maintaining RHEL server infrastructures in production environments, with in-depth technical knowledge of SELinux, fapolicy, systemd, firewall configuration, kernel tuning, and performance optimization to troubleshoot complex system and application issues. Experience leveraging Red Hat Satellite, Ansible, and Automation Platform for configuration management alongside virtualization/containerization (KVM, Podman, Docker, OpenShift), CI/CD pipelines, Git, DevOps workflows, and foundational networking (TCP/IP, DNS, DHCP, routing, firewalls, VLANs), combined with hands-on expertise implementing secure protocols, PKI concepts (CA, CRLs, OCSP, key generation/lifecycle management using OpenSSL and Keytool), and RHEL identity tooling to integrate systems with IdM/FreeIPA, LDAP, Active Directory, and Multi-Factor Authentication (MFA). Self-driven analytical thinker capable of managing priorities in fast-paced environments and delivering technical briefings to senior government organizations (including Officer, Enlisted, and Civilian personnel); highly proficient with the Microsoft Family of Software and Tools (Office, Visio, SharePoint, Project) alongside development/task management capabilities like Jira and Confluence. Preferred Qualifications: Direct experience engineering systems/software in the R&D phase aligning with Technology Readiness Levels (TRL) 4 through 7; deep understanding of UAF and DoDAF artifacts, Model-Based Systems Engineering (MBSE), and lifecycle management to design secure, scalable, and redundant architectures. INCOSE CSEP/ESEP certification is highly desirable. Proven experience utilizing ITIL, ITSM, or similar maturity models within Agile Scaled Environments (SAFe); strong familiarity with Agile software coding principles and possession of professional leadership certifications such as Project Management Professional (PMP), Certified Scrum Master (CSM), or Lean Six Sigma. Familiarity with the Marine Corps Operational Test and Evaluation Activity (MCOTEA), including the MCOTEA Operational Test & Evaluation Manual (6th Edition); experience planning Field User Evaluations and Joint Service Exercise events incorporating Electronic Warfare and Intelligence collection platforms under the Risk Management Framework (RMF). Experience designing, modernizing, and maintaining hybrid cloud environments (AWS, Azure, or private cloud) with the demonstrated ability to seamlessly integrate RHEL and Windows systems with enterprise applications, middleware, and cloud services. Strong proficiency with Bash and Python scripting alongside API interactions (REST, JSON, XML) to drive system integration and automation; familiarity with foundational website development, including CSS and web server setup, configuration, and integration. Clearance Requirements: Must have current and active TS/SCI (or SCI eligible) security clearance with the ability to obtain and maintain a CI Poly. Physical Requirements: Physically capable of supporting field exercises, including lifting up to 50 lbs., traversing rugged terrain, and traveling via military tactical vehicles, ships, and aircraft. Must be able to remain in a stationary/ desk position 50% of the time, occasionally and communicate with co-workers, management, and customers, via email, phone, and/or virtual communication, which may involve clearly delivering briefings/ presentations.
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
08/07/2026
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
Technical Summary: This role will be responsible for monitoring network and Web server activity for security breaches using intrusion detection techniques, performing file system management, installing and managing the Epic application deployment platforms that serve production, reporting, disaster recovery, training, and non-production needs. In addition, the role will be installing and maintaining administrative and monitoring tools necessary for high levels of availability and performance of your Epic system, assisting in the configuration and troubleshooting of integrated third party software and peripherals, applying platform and Epic upgrades and updates to production and non-production Web server components, responding to emergency and after-hours issue, writing and maintaining scripts to improve system management tasks, maintaining and testing processes related to business continuity, and participating in your change control process for all planned application and technical activities. Lastly, the individual will need to understand performance metrics, monitoring system performance, and troubleshooting issues, collaborate with various technical teams and the Epic vendor to ensure proactive support and adherence to best practices. Job Summary: In addition to the responsibilities listed below, this position is responsible for planning, designing, and building database systems that are stable, recoverable, and integrated with other available technology stacks for the purpose of efficient, secure data utilization. This includes understanding the interoperability between databases and other dependent technology stacks (performance scalability, stability, capacity planning, etc.), possessing familiarity with one dependent technology stack (e.g. windows admin, networking, storage, etc.), working with engineering teams to recommend alternate solutions, and consulting as a 2nd level technical expert on specific platforms. Some of the unique challenges this position will face include database considerations for a large, corporate enterprise and a high degree of complexity and non-uniformity. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Supports the review of team deliverables. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Collaborates with team members to develop project support plans, schedules, and assignments. Translates business and functional requirements into technical specifications that support integrated and sustainable designs for designated infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Serves as a liaison with business partners, Solutions, and enterprise architects to define and understand target strategies. Collaborates with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Develops and modifies solutions by identifying technical solutions to business problems. Provides consultation and technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Reviews and makes changes to technical specifications and documentation. Collaborates with IT teams and key business partners to troubleshoot complex systems and provides solutions, as appropriate. Evaluates existing systems to make recommendations on resources required to maintain service levels. Evaluates new service options, identifies issues and impacts, and provides recommendations on feasibility and ROI. Collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable designs. Verifies system designs adhere to company architecture standards. Drives physical architecture design for new initiatives. Leads the implementation of assigned enterprise infrastructure systems to ensure successful deployment and operation by developing and documenting detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Minimum Qualifications: Minimum three (3) years experience in the planning, design, and implementation of security solutions, including Minimum two (2) years experience in the configuration, implementation, troubleshooting, and operation of security technologies. Minimum one (1) year in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum six (6) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement.
08/07/2026
Full time
Technical Summary: This role will be responsible for monitoring network and Web server activity for security breaches using intrusion detection techniques, performing file system management, installing and managing the Epic application deployment platforms that serve production, reporting, disaster recovery, training, and non-production needs. In addition, the role will be installing and maintaining administrative and monitoring tools necessary for high levels of availability and performance of your Epic system, assisting in the configuration and troubleshooting of integrated third party software and peripherals, applying platform and Epic upgrades and updates to production and non-production Web server components, responding to emergency and after-hours issue, writing and maintaining scripts to improve system management tasks, maintaining and testing processes related to business continuity, and participating in your change control process for all planned application and technical activities. Lastly, the individual will need to understand performance metrics, monitoring system performance, and troubleshooting issues, collaborate with various technical teams and the Epic vendor to ensure proactive support and adherence to best practices. Job Summary: In addition to the responsibilities listed below, this position is responsible for planning, designing, and building database systems that are stable, recoverable, and integrated with other available technology stacks for the purpose of efficient, secure data utilization. This includes understanding the interoperability between databases and other dependent technology stacks (performance scalability, stability, capacity planning, etc.), possessing familiarity with one dependent technology stack (e.g. windows admin, networking, storage, etc.), working with engineering teams to recommend alternate solutions, and consulting as a 2nd level technical expert on specific platforms. Some of the unique challenges this position will face include database considerations for a large, corporate enterprise and a high degree of complexity and non-uniformity. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Supports the review of team deliverables. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Collaborates with team members to develop project support plans, schedules, and assignments. Translates business and functional requirements into technical specifications that support integrated and sustainable designs for designated infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Serves as a liaison with business partners, Solutions, and enterprise architects to define and understand target strategies. Collaborates with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Develops and modifies solutions by identifying technical solutions to business problems. Provides consultation and technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Reviews and makes changes to technical specifications and documentation. Collaborates with IT teams and key business partners to troubleshoot complex systems and provides solutions, as appropriate. Evaluates existing systems to make recommendations on resources required to maintain service levels. Evaluates new service options, identifies issues and impacts, and provides recommendations on feasibility and ROI. Collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable designs. Verifies system designs adhere to company architecture standards. Drives physical architecture design for new initiatives. Leads the implementation of assigned enterprise infrastructure systems to ensure successful deployment and operation by developing and documenting detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Minimum Qualifications: Minimum three (3) years experience in the planning, design, and implementation of security solutions, including Minimum two (2) years experience in the configuration, implementation, troubleshooting, and operation of security technologies. Minimum one (1) year in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum six (6) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement.
Staffing Pros, a division of VETS Inc., is recruiting for a full-time DevOps Engineer. We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact on the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible. Key Responsibilities: DevOps: Design, deploy, and operate Azure infrastructure using IaC (Bicep/Terraform) for repeatable, scalable environments. Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and platform services. Enforce GitOps-based baselines for versioned, traceable, consistent configuration across environments. Create and maintain golden image pipelines using Packer (images-as-code) to support enterprise workloads. Ensure security compliance (CMKs, encryption, approved baselines) and integrate IAM via AD/Entra ID (federation/SSO such as Keycloak). Security & Compliance: Operate and maintain secure enterprise environments in alignment with DoD security standards, utilizing vulnerability management tools such as Nessus Security Center. Ensure all virtual machines and platform resources are properly configured to send telemetry and logs to a centralized Azure Log Analytics workspace. Perform enterprise-scale patching and update management using WSUS or equivalent update management solutions. Participate in change management and review boards, supporting boundary changes and ensuring compliance with enterprise governance processes. Customer Onboarding & Operations: Tailor infrastructure parameter templates to customer workload and hardware requirements. Deploy Azure infrastructure via established CI/CD pipelines into enterprise environments. Document customer configurations and operational details in Confluence. Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness. Provide Tier 1 operational support, including automated baseline desktop and software installs (DSC, Packer). Automation & Container Enablement: Develop and maintain automation solutions using Bicep and/or Terraform to minimize manual intervention and improve deployment reliability. Support container image movement and lifecycle management using tools such as Skopeo, Crane, and Podman, ensuring secure and repeatable container workflows. Architect and develop, automate, deploy and manage AKS based applications to support developers Qualifications: Security+ Certification is required Experience working in a classified Azure Region or delivering software into an AirGapped network Experience deploying Microsoft infrastructure using Terraform or Bicep Bachelors degree in computer science, Engineering, or related Field AND 3+ years leadership experience in relevant area of business OR equivalent experience 8+ years demonstrated performance in related technology Requirements: Must be within driving distance of Beavercreek, OH OR willing to relocate there (relocation packages available) Must be willing to work onsite Must possess an active TS/ SCI clearance or above Please note that pursuant to a government contract, this specific position requires U.S. citizenship status EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
08/06/2026
Staffing Pros, a division of VETS Inc., is recruiting for a full-time DevOps Engineer. We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact on the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible. Key Responsibilities: DevOps: Design, deploy, and operate Azure infrastructure using IaC (Bicep/Terraform) for repeatable, scalable environments. Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and platform services. Enforce GitOps-based baselines for versioned, traceable, consistent configuration across environments. Create and maintain golden image pipelines using Packer (images-as-code) to support enterprise workloads. Ensure security compliance (CMKs, encryption, approved baselines) and integrate IAM via AD/Entra ID (federation/SSO such as Keycloak). Security & Compliance: Operate and maintain secure enterprise environments in alignment with DoD security standards, utilizing vulnerability management tools such as Nessus Security Center. Ensure all virtual machines and platform resources are properly configured to send telemetry and logs to a centralized Azure Log Analytics workspace. Perform enterprise-scale patching and update management using WSUS or equivalent update management solutions. Participate in change management and review boards, supporting boundary changes and ensuring compliance with enterprise governance processes. Customer Onboarding & Operations: Tailor infrastructure parameter templates to customer workload and hardware requirements. Deploy Azure infrastructure via established CI/CD pipelines into enterprise environments. Document customer configurations and operational details in Confluence. Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness. Provide Tier 1 operational support, including automated baseline desktop and software installs (DSC, Packer). Automation & Container Enablement: Develop and maintain automation solutions using Bicep and/or Terraform to minimize manual intervention and improve deployment reliability. Support container image movement and lifecycle management using tools such as Skopeo, Crane, and Podman, ensuring secure and repeatable container workflows. Architect and develop, automate, deploy and manage AKS based applications to support developers Qualifications: Security+ Certification is required Experience working in a classified Azure Region or delivering software into an AirGapped network Experience deploying Microsoft infrastructure using Terraform or Bicep Bachelors degree in computer science, Engineering, or related Field AND 3+ years leadership experience in relevant area of business OR equivalent experience 8+ years demonstrated performance in related technology Requirements: Must be within driving distance of Beavercreek, OH OR willing to relocate there (relocation packages available) Must be willing to work onsite Must possess an active TS/ SCI clearance or above Please note that pursuant to a government contract, this specific position requires U.S. citizenship status EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
Senior EDI Manager Location: Renton, WA 98057 Company: Radiant Global Logistics, Inc. Position Type: Full Time On-site Salary Range: $115,124.00 - $135,000.00 Salary Position Summary Radiant Global Logistics is seeking a Senior EDI Manager to own the strategy, delivery, and support of our electronic data interchange (EDI) capabilities across transportation operations. This role sits at the intersection of the business and technology: you will lead requirements gathering directly with Transportation stakeholders, translate those needs into technical solutions, manage a development team responsible for building and maintaining EDI integrations, and serve as the primary liaison with our Delta ECS partner/platform. The ideal candidate combines strong EDI/integration technical depth with the communication skills to drive alignment across freight operations, customers, carriers, and trading partners. Key Responsibilities Business Requirements & Stakeholder Engagement Lead requirements-gathering sessions with Transportation, Operations, and Customer Service teams to define EDI needs (204, 210, 214, 990, 997, 856, and related transaction sets common to freight/logistics) Translate business processes (tendering, load status, invoicing, appointment scheduling) into clear technical specifications Act as the primary point of contact for internal business units on EDI-related questions, issues, and enhancement requests Prioritize and manage a roadmap of EDI initiatives in partnership with business and IT leadership Delta ECS Liaison Serve as the primary liaison between Radiant and Delta ECS for platform configuration, issue escalation, release coordination, and roadmap alignment Manage the relationship and SLAs with Delta ECS, including regular cadence meetings and escalation management Oversee mapping, testing, and deployment of new trading partner connections through the Delta ECS platform Team & Delivery Management Manage, mentor, and grow a development team responsible for EDI mapping, integration builds, and production support Set development standards, review work for quality and consistency, and ensure adherence to change management and testing protocols Own the team's backlog, sprint/work planning, and delivery timelines Partner with SAP TM/ECC and integration teams to ensure EDI flows align with broader system architecture Operations & Support Ensure high availability and data integrity of EDI transactions across carriers, customers, and 3PL partners Own root-cause analysis and resolution for EDI transaction failures, working cross-functionally with Transportation and IT Maintain documentation of trading partner setups, mapping specifications, and support runbooks Support onboarding of new customers/carriers, including EDI trading partner setup and testing Partner with the Infrastructure team to troubleshoot and resolve hosting, connectivity, or platform availability issues as needed Operate effectively in a high-pressure, 24/7 operations environment where transportation and EDI systems are business-critical; participate in on-call rotation and off-hours escalation as required Qualifications Required Qualifications 7+ years of experience in EDI, integration, or transportation systems, with at least 3 years in a management or team-lead capacity Deep working knowledge of EDI standards (X12, EDIFACT) and common transportation transaction sets (204, 210, 214, 990, 997, 856) Direct experience managing or working extensively with an EDI/ECS platform (Delta ECS or comparable, e.g., Sterling, TrueCommerce, SPS Commerce, Cleo) Proven track record leading requirements-gathering with business stakeholders in a transportation, freight, or logistics environment Experience managing a development or integration team (direct reports or matrixed team) Strong understanding of transportation management systems (SAP TM/ECC experience strongly preferred) Excellent communication skills with demonstrated ability to bridge technical and business audiences Ability to work cross-functionally with Infrastructure/hosting teams and to perform well under pressure in a 24/7 mission-critical operations setting, including participating in on-call coverage Preferred Qualifications Experience in freight brokerage, 3PL, or asset-based transportation environments Familiarity with SAP TM/ECC integration points and data flows Experience with API-based integration patterns alongside traditional EDI Exposure to customer/carrier onboarding processes in a high-volume logistics environment PMP, Scrum Master, or equivalent delivery management certification Work Schedule Full-time, in-office position schedule of minimum 8 hours per day with flexibility to complete all required job duties and responsibilities On-site presence is required to support close collaboration with Transportation stakeholders, the IT integration team, and the Infrastructure team, particularly given the 24/7 operational nature of this role Work Environment & Physical Demands Climate-controlled office with a typically moderate noise level Regular physical activity: walking, sitting, handling materials, keyboarding, and reaching Visual demands include close, distance, and peripheral vision, with the ability to adjust focus Compensation & Benefits Salary range: $115,124 - $135,000 Starting pay reflects education, experience, skills, and job-related knowledge; ranges may be adjusted over time. Featured Benefits Medical, dental, and vision insurance (employee and family coverage) Company-paid basic life insurance Short-term and long-term disability insurance Health Savings Account with company contributions Flexible Spending Account options 401(k) with 3.5% employer match 80 hours of front-loaded sick pay 80 hours of annual vacation pay, increasing with tenure 7 paid holidays per year Employee Assistance Program (EAP) About Radiant Radiant Logistics, Inc. () (NYSE American: RLGT) is a publicly traded third party logistics company providing technology-enabled global transportation and value added logistics solutions primarily to customers based in the United States and Canada. Through its comprehensive service offering, Radiant provides domestic and international freight forwarding along with truck and rail brokerage services to a diversified account base including manufacturers, distributors and retailers which it supports from an extensive network of Radiant and agent-owned offices throughout North America and other key markets around the world. Radiant's value-added logistics services include warehouse and distribution, customs brokerage, order fulfillment, inventory management and technology services. As part of Radiant, you'll join a learning environment in which passion, dedication, and a commitment to getting the job done are valued. That's what being on our team is all about. It's an environment in which you can thrive and gain valuable skills and experience, which also helps Radiant grow. If this sounds like the kind of company you are looking for, we would love to hear from you! Radiant is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Compensation details: 00 Yearly Salary PI09090db5d5-
08/06/2026
Full time
Senior EDI Manager Location: Renton, WA 98057 Company: Radiant Global Logistics, Inc. Position Type: Full Time On-site Salary Range: $115,124.00 - $135,000.00 Salary Position Summary Radiant Global Logistics is seeking a Senior EDI Manager to own the strategy, delivery, and support of our electronic data interchange (EDI) capabilities across transportation operations. This role sits at the intersection of the business and technology: you will lead requirements gathering directly with Transportation stakeholders, translate those needs into technical solutions, manage a development team responsible for building and maintaining EDI integrations, and serve as the primary liaison with our Delta ECS partner/platform. The ideal candidate combines strong EDI/integration technical depth with the communication skills to drive alignment across freight operations, customers, carriers, and trading partners. Key Responsibilities Business Requirements & Stakeholder Engagement Lead requirements-gathering sessions with Transportation, Operations, and Customer Service teams to define EDI needs (204, 210, 214, 990, 997, 856, and related transaction sets common to freight/logistics) Translate business processes (tendering, load status, invoicing, appointment scheduling) into clear technical specifications Act as the primary point of contact for internal business units on EDI-related questions, issues, and enhancement requests Prioritize and manage a roadmap of EDI initiatives in partnership with business and IT leadership Delta ECS Liaison Serve as the primary liaison between Radiant and Delta ECS for platform configuration, issue escalation, release coordination, and roadmap alignment Manage the relationship and SLAs with Delta ECS, including regular cadence meetings and escalation management Oversee mapping, testing, and deployment of new trading partner connections through the Delta ECS platform Team & Delivery Management Manage, mentor, and grow a development team responsible for EDI mapping, integration builds, and production support Set development standards, review work for quality and consistency, and ensure adherence to change management and testing protocols Own the team's backlog, sprint/work planning, and delivery timelines Partner with SAP TM/ECC and integration teams to ensure EDI flows align with broader system architecture Operations & Support Ensure high availability and data integrity of EDI transactions across carriers, customers, and 3PL partners Own root-cause analysis and resolution for EDI transaction failures, working cross-functionally with Transportation and IT Maintain documentation of trading partner setups, mapping specifications, and support runbooks Support onboarding of new customers/carriers, including EDI trading partner setup and testing Partner with the Infrastructure team to troubleshoot and resolve hosting, connectivity, or platform availability issues as needed Operate effectively in a high-pressure, 24/7 operations environment where transportation and EDI systems are business-critical; participate in on-call rotation and off-hours escalation as required Qualifications Required Qualifications 7+ years of experience in EDI, integration, or transportation systems, with at least 3 years in a management or team-lead capacity Deep working knowledge of EDI standards (X12, EDIFACT) and common transportation transaction sets (204, 210, 214, 990, 997, 856) Direct experience managing or working extensively with an EDI/ECS platform (Delta ECS or comparable, e.g., Sterling, TrueCommerce, SPS Commerce, Cleo) Proven track record leading requirements-gathering with business stakeholders in a transportation, freight, or logistics environment Experience managing a development or integration team (direct reports or matrixed team) Strong understanding of transportation management systems (SAP TM/ECC experience strongly preferred) Excellent communication skills with demonstrated ability to bridge technical and business audiences Ability to work cross-functionally with Infrastructure/hosting teams and to perform well under pressure in a 24/7 mission-critical operations setting, including participating in on-call coverage Preferred Qualifications Experience in freight brokerage, 3PL, or asset-based transportation environments Familiarity with SAP TM/ECC integration points and data flows Experience with API-based integration patterns alongside traditional EDI Exposure to customer/carrier onboarding processes in a high-volume logistics environment PMP, Scrum Master, or equivalent delivery management certification Work Schedule Full-time, in-office position schedule of minimum 8 hours per day with flexibility to complete all required job duties and responsibilities On-site presence is required to support close collaboration with Transportation stakeholders, the IT integration team, and the Infrastructure team, particularly given the 24/7 operational nature of this role Work Environment & Physical Demands Climate-controlled office with a typically moderate noise level Regular physical activity: walking, sitting, handling materials, keyboarding, and reaching Visual demands include close, distance, and peripheral vision, with the ability to adjust focus Compensation & Benefits Salary range: $115,124 - $135,000 Starting pay reflects education, experience, skills, and job-related knowledge; ranges may be adjusted over time. Featured Benefits Medical, dental, and vision insurance (employee and family coverage) Company-paid basic life insurance Short-term and long-term disability insurance Health Savings Account with company contributions Flexible Spending Account options 401(k) with 3.5% employer match 80 hours of front-loaded sick pay 80 hours of annual vacation pay, increasing with tenure 7 paid holidays per year Employee Assistance Program (EAP) About Radiant Radiant Logistics, Inc. () (NYSE American: RLGT) is a publicly traded third party logistics company providing technology-enabled global transportation and value added logistics solutions primarily to customers based in the United States and Canada. Through its comprehensive service offering, Radiant provides domestic and international freight forwarding along with truck and rail brokerage services to a diversified account base including manufacturers, distributors and retailers which it supports from an extensive network of Radiant and agent-owned offices throughout North America and other key markets around the world. Radiant's value-added logistics services include warehouse and distribution, customs brokerage, order fulfillment, inventory management and technology services. As part of Radiant, you'll join a learning environment in which passion, dedication, and a commitment to getting the job done are valued. That's what being on our team is all about. It's an environment in which you can thrive and gain valuable skills and experience, which also helps Radiant grow. If this sounds like the kind of company you are looking for, we would love to hear from you! Radiant is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Compensation details: 00 Yearly Salary PI09090db5d5-
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.
08/06/2026
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.
08/06/2026
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.
Kaiser Permanente seeks a Systems Administrator IV, Applications to support and optimize enterprise healthcare applications. In this senior role, you'll manage application servers, middleware, and integrations to ensure high availability, performance, and security. Responsibilities include monitoring, incident resolution, patching, and upgrades, as well as automation of deployment and configuration tasks. You'll collaborate with developers, security, and network teams to troubleshoot complex issues, improve reliability, and enhance the application stack. This position also mentors junior admins, documents standards, and contributes to architectural planning and continuous improvement.
08/06/2026
Full time
Kaiser Permanente seeks a Systems Administrator IV, Applications to support and optimize enterprise healthcare applications. In this senior role, you'll manage application servers, middleware, and integrations to ensure high availability, performance, and security. Responsibilities include monitoring, incident resolution, patching, and upgrades, as well as automation of deployment and configuration tasks. You'll collaborate with developers, security, and network teams to troubleshoot complex issues, improve reliability, and enhance the application stack. This position also mentors junior admins, documents standards, and contributes to architectural planning and continuous improvement.
ManTech International seeks a Cyber Systems Engineer to design, secure, and sustain mission-critical systems for U.S. defense and intelligence customers. In this role, you will architect secure network and cloud environments, implement advanced cyber defenses, and support incident response and remediation. You will collaborate with cross-functional teams to integrate cyber solutions, conduct risk assessments, and ensure compliance with federal and DoD standards. ManTech offers a mission-focused, collaborative culture, robust training, veteran-friendly programs, and clear paths for technical and leadership growth.
08/06/2026
Full time
ManTech International seeks a Cyber Systems Engineer to design, secure, and sustain mission-critical systems for U.S. defense and intelligence customers. In this role, you will architect secure network and cloud environments, implement advanced cyber defenses, and support incident response and remediation. You will collaborate with cross-functional teams to integrate cyber solutions, conduct risk assessments, and ensure compliance with federal and DoD standards. ManTech offers a mission-focused, collaborative culture, robust training, veteran-friendly programs, and clear paths for technical and leadership growth.
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/06/2026
Full time
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/06/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.