206 jobs found

Job Description Job Description Velocitor Solutions is a leader in enterprise fleet management and mobile innovation, celebrating over 25 years of profitably growing technology. We go beyond standard telematics by offering a comprehensive, managed ecosystem-managing over 200,000 mobile assets for Fortune 500 clients across North America. Our V-Track platform integrates GPS tracking, AI-powered video telematics, and real-time data to drive safety and efficiency. We are in a pivotal phase of growth and looking to expand technology team. Why Join Velocitor Solutions You'll own critical infrastructure and network outcomes in a high-availability environment where reliability, security, and operational excellence directly impact customers. You'll also help modernize and simplify our stack (including virtualization evolution and cloud optimization) while partnering closely with product, managed services, and vendors to deliver measurable improvements. Position Summary The Senior Network / Infrastructure Engineer is responsible for the design, implementation, maintenance, and optimization of Velocitor Solutions' network, server, virtualization, cloud, and security infrastructure. This role ensures the availability, reliability, performance, and security of enterprise systems supporting business operations and customer-facing platforms. The Senior Network / Infrastructure Engineer serves as a technical lead for infrastructure initiatives and collaborates with internal teams, vendors, and stakeholders to deliver scalable and secure technology solutions. Essential Duties and Responsibilities Infrastructure Administration Administer and maintain VMware vSphere, ESX, and ESXi environments, including system upgrades, patch management, performance tuning, capacity planning, backup, disaster recovery, and troubleshooting. Support infrastructure modernization efforts, including virtualization platform migrations and cloud integration projects. Manage enterprise storage and compute platforms, including SAN, NAS, and converged infrastructure solutions. Monitor system performance and implement improvements to maximize reliability and efficiency. Cloud & Platform Management Administer Microsoft Azure environments, including networking, compute resources, storage, monitoring, security, and cost management. Deploy, manage, and support Kubernetes clusters and containerized applications. Support Docker environments, image repositories, runtime security, and application scalability. Configure and maintain load balancing solutions and associated network services. Network Engineering Design, implement, maintain, and troubleshoot enterprise LAN, WAN, wireless, voice, and video network environments. Configure and support routers, switches, firewalls, VPNs, VLANs, QoS, DHCP, DNS, and related technologies. Monitor network performance and resolve connectivity, latency, and security issues. Maintain secure remote access solutions and network security controls. Security & Compliance Manage secure data transfer systems, including SFTP and managed file transfer platforms. Maintain SSL/TLS certificates and encryption technologies across infrastructure platforms. Assist with vulnerability remediation, security hardening, and compliance-related initiatives. Support audits and security assessments as required. Operational Excellence Develop and implement automation solutions to improve operational efficiency and system reliability. Maintain monitoring, alerting, logging, and performance management systems. Participate in incident response, root cause analysis, and corrective action planning. Participate in on-call support rotations and after-hours maintenance activities as needed. Documentation & Collaboration Create and maintain technical documentation, diagrams, standards, procedures, and runbooks. Collaborate with software development, product, support, and business teams to support organizational initiatives. Coordinate with vendors and third-party service providers to resolve issues and implement solutions. Provide technical guidance and mentorship to junior team members when appropriate. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field; equivalent experience may be considered. Minimum of five (5) years of experience in a senior-level network or infrastructure engineering role. Strong experience supporting enterprise VMware environments. Strong experience administering Microsoft Azure environments. Hands-on experience with Kubernetes and containerized application platforms. Extensive knowledge of TCP/IP networking, routing, switching, VPNs, wireless networking, and network security. Experience administering enterprise firewalls, including SonicWall, Cisco ASA, or Palo Alto. Experience with Windows Server, Active Directory, Group Policy, and Microsoft Exchange environments. Working knowledge of Microsoft SQL Server administration and support. Strong troubleshooting, analytical, and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Industry certifications such as CCNA, CCNP, VCP, NCP, Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Security+, or equivalent. Experience with Nutanix platforms and virtualization migrations. Experience with Cisco UCS, NetApp storage solutions, and FlexPod environments. Experience with IIS, Tomcat, and enterprise email security solutions. Experience supporting monitoring, endpoint management, backup, and disaster recovery platforms. Knowledge, Skills, and Abilities Strong understanding of enterprise infrastructure architecture and best practices. Ability to manage multiple projects and priorities simultaneously. Ability to work independently with minimal supervision. Strong organizational and documentation skills. Ability to identify opportunities for process improvement and automation. Commitment to maintaining secure, reliable, and scalable technology environments. Physical Requirements Ability to sit for extended periods while working at a computer. Ability to occasionally lift and carry equipment weighing up to 50 pounds. Ability to work in server rooms and data center environments. Ability to travel occasionally between company locations or vendor sites as needed. Working Conditions Primarily office-based environment. Occasional after-hours, weekend, or emergency support may be required. Participation in on-call support rotations is required. Velocitor Solutions is an Equal Opportunity Employer and values diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable law. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page. Company Description Velocitor Solutions is a leading provider of enterprise mobility, fleet management, and technology solutions, delivering innovative software, hardware, and managed services to organizations across North America. For more than 25 years, we have helped businesses improve operational efficiency, enhance workforce productivity, and gain greater visibility into their mobile assets through cutting-edge technology and exceptional customer service. Our success is built on a commitment to innovation, collaboration, integrity, and delivering meaningful solutions that help our customers achieve their goals. To learn more about Velocitor Solutions, our products, services, and company culture, please visit our website at on our Careers page.

Job Description Job Description Description: As an onsite Tier 3 Senior Systems & Network Engineer, you will serve as the highest level of technical escalation within the IT department. This role carries a dual mandate: maintaining the reliability, performance, and security of existing infrastructure, and engineering new solutions that support business growth and modernization. You will handle complex technical issues that cannot be resolved by Tier 1 or Tier 2 support while simultaneously architecting and deploying next-generation infrastructure. Networking is a core competency for this role - you will own and evolve the organization's network environment alongside Windows Server, Microsoft Azure, Intune, infrastructure monitoring platforms, and line-of-business application maintenance. Responsibilities Act as the highest escalation point for infrastructure, system, and network issues Maintain, support, and continuously improve existing server, network, and endpoint infrastructure Engineer and deploy new infrastructure solutions from design through implementation, aligned with business growth and modernization goals Own and evolve the organization's network infrastructure - including firewalls, routers, switches, VLANs, and VPNs - both maintaining current environments and designing improvements Troubleshoot and resolve complex technical issues across servers, endpoints, and network systems Manage and maintain Windows Server environments and Active Directory infrastructure Monitor system and network performance using platforms such as Zabbix; deploy and manage infrastructure monitoring and alerting solutions Architect and lead deployment of new infrastructure solutions aligned with business growth and modernization goals Own and administer Microsoft Azure and hybrid cloud environments Deploy, manage, and maintain endpoint environments using Microsoft Intune Support and maintain line-of-business applications, including patching, updates, and vendor coordination Support virtualization environments and ensure system availability and performance Assist with infrastructure projects, including migrations, deployments, and integrations Provide technical guidance and escalation support to Tier 1 and Tier 2 teams Maintain technical documentation, network diagrams, and system procedures Ensure security best practices, patch management, and system hardening standards are followed Evaluate and recommend new technologies to improve infrastructure efficiency and reliability Requirements: Bachelor's degree in Information Technology, Computer Science, or related field preferred 5+ years of experience in IT infrastructure, systems administration, or network engineering Strong experience with Windows Server (2016/2019/2022) environments Advanced knowledge of Active Directory, DNS, DHCP, and Group Policy Strong networking experience including switches, routers, VLANs, VPNs, and firewalls - required Experience troubleshooting both server and network infrastructure issues Experience with virtualization (Hyper-V or VMware) Hands-on experience with Microsoft Azure and hybrid cloud environments - required Proficiency with endpoint management tools, specifically Microsoft Intune - required Experience with infrastructure monitoring platforms such as Zabbix, or demonstrated ability and willingness to learn Experience supporting and maintaining line-of-business applications, including patching and vendor coordination Strong problem-solving and analytical skills Ability to mentor and support Tier 1 and Tier 2 technicians Certifications such as CCNA, Microsoft certifications (Azure, Intune), or equivalent preferred Benefits: AFIC offers a competitive salary and a comprehensive benefits package to support you Competitive Salary: Rewarding your expertise and experience Financial Security: 401K with up to a 6% company match Health & Wellness: Choice of Blue Cross Blue Shield PPO, HMO, or HSA plans, Dental and vision coverage, Access to telemedicine services Growth/Stability: Over 12 consecutive years of profitable growth, confirmed by A+ Superior rating by A.M. Best Work-Life Balance: Monday-Friday, 8 am-5 pm CST (Weekends- if needed) Holidays: At Least 6 Paid Holidays Paid Time Off (PTO): PTO that can be used for vacation, personal, or sick time Personal Days: Separate personal days for sickness, family needs, appointments or personal matters Employee Recognition: We celebrate work milestones to show appreciation for your contributions Professional Growth: Paid training, state licensing reimbursement, and opportunities for advancement Positive Culture: Enjoy our inclusive holiday events, employee referral bonuses, virtual team meetings, and more

Job Description Job Description Position Overview The Senior Network Engineer will design, implement, and support advanced network security infrastructure solutions for enterprise and mid-market clients. This role serves as both a technical leader and trusted client advisor, with a concentrated focus on Fortinet Security Fabric solutions, including FortiGate Next-Generation Firewalls, FortiNAC, and associated ecosystem tools. The Senior Network Engineer will drive end-to-end project delivery, provide expert-level troubleshooting and escalation support, mentor junior and mid-level engineers, and actively collaborate with pre-sales and project teams to develop scalable, secure, and future-ready network environments. This individual will also contribute to the strategic growth of the security practice by evaluating emerging technologies and helping define engineering standards and best practices. Key Responsibilities Network Security Design & Implementation Lead the end-to-end design, deployment, and optimization of Fortinet-based security solutions, including FortiGate NGFWs, FortiManager, FortiAnalyzer, FortiSwitch, FortiAP, and FortiNAC Architect and implement Network Access Control (NAC) solutions, including device profiling, posture assessment, endpoint compliance enforcement, and guest access workflows Design and deploy advanced firewall policies, security zones, NAT rules, IPS/IDS profiles, SSL inspection, web filtering, and application control policies aligned with Zero Trust principles Configure and maintain SD-WAN solutions leveraging the Fortinet Security Fabric for WAN optimization, path selection, and traffic steering Design and implement segmentation strategies utilizing VLANs and firewall zone policies to enforce least-privilege access across enterprise environments Deploy and manage site-to-site and client-based VPN solutions (IPsec and SSL-VPN) for secure remote access and branch connectivity Routing, Switching & WAN Design and implement enterprise LAN, WAN, and SD-WAN environments including advanced routing protocol configurations (BGP, OSPF) in production-scale deployments Support high availability architectures including FGCP (FortiGate Clustering Protocol) Active/Active and Active/Passive failover designs Troubleshoot and resolve Layer 2 and Layer 3 network issues across multi-vendor environments NAC & Identity-Based Access Design and implement FortiNAC or equivalent NAC platforms for automated device discovery, classification, and enforcement Develop and maintain network access policies based on user identity, device type, posture compliance, and location context Integrate NAC solutions with Active Directory, LDAP, RADIUS, and SAML-based identity providers for policy-driven access control Manage wired, wireless, and VPN-based onboarding workflows for corporate, BYOD, and IoT/OT endpoints Support incident response workflows that leverage NAC for dynamic device quarantine and remediation Client Engagement & Project Delivery Serve as a technical escalation point for complex Fortinet and NAC-related incidents, service requests, and change implementations Conduct network security assessments, health checks, and technology roadmap reviews for clients, providing actionable recommendations Collaborate with project managers and pre-sales teams on solution scoping, proposals, Bills of Materials (BOMs), and Statements of Work (SOWs) Communicate complex technical concepts clearly to both technical and non-technical client stakeholders Oversee staging, installation, validation, and testing of engineered solutions from kickoff through project closeout Mentorship & Standards Development Provide technical guidance and mentorship to junior and mid-level network engineers, fostering skill development in Fortinet technologies and NAC Develop and maintain engineering standards, runbooks, implementation playbooks, and best practice documentation to ensure consistency across deployments Stay ahead of Fortinet product roadmaps, firmware releases, and emerging security technologies to advise clients and leadership Participate in on-call rotation for after-hours support as required Required Qualifications Minimum of 5 years of experience in network engineering, network security, infrastructure consulting, or related technical roles Hands-on expertise with Fortinet Security Fabric, including FortiGate firewall policy management, FortiManager centralized administration, FortiAnalyzer log management and reporting, and FortiNAC Demonstrated experience designing and implementing NAC solutions, including endpoint profiling, dynamic VLAN assignment, posture assessment, and remediation workflows Advanced knowledge of enterprise networking principles including routing, switching, segmentation, redundancy, and high availability Proven experience with routing protocols - BGP and OSPF - in production environments Strong understanding of network security concepts including firewall policy design, Zero Trust architecture, access control, and secure remote access Experience designing and deploying enterprise LAN, WAN, SD-WAN, and wireless solutions Proficiency in VPN technologies - both IPsec and SSL-VPN - for site-to-site and remote access use cases Working knowledge of RADIUS, LDAP, Active Directory, and identity-based policy enforcement Proven ability to lead technical projects, manage client-facing engagements, and deliver under defined timelines Strong documentation, analytical, troubleshooting, and organizational skills with the ability to produce clear network diagrams, design documents, and change records Active Professional-level industry certification in networking or security (CCNP, Fortinet NSE 4 or higher, ACSP) Preferred Qualifications Fortinet NSE 5, NSE 6, or NSE 7 certification, specifically in FortiNAC, FortiManager, or enterprise firewall tracks CCNP, CCIE, or equivalent vendor-neutral or vendor-specific expert-level certification Experience in a managed services, consulting, or professional services environment supporting multiple clients simultaneously Experience across multiple networking and security vendors - Cisco, Meraki, Aruba, Juniper, Palo Alto, Fortinet Familiarity with SIEM integration, syslog pipelines, and SOC workflows leveraging FortiAnalyzer or third-party platforms Experience with IoT/OT segmentation and NAC-based enforcement in industrial or healthcare environments Familiarity with vendor management platforms and centralized administration tools (FortiManager, Cisco DNA Center, Aruba Central) Exposure to cloud networking concepts and hybrid connectivity, including SD-WAN integration with cloud platforms (AWS, Azure) Experience managing multiple concurrent tasks and priorities in a fast-paced, client-focused environment Why Join Us This role offers the opportunity to work across diverse enterprise environments, lead meaningful security transformation projects, and grow within a team that values technical excellence, continuous learning, and client impact. You will have access to vendor training resources, lab environments, and a collaborative team of experienced engineers who are passionate about delivering best-in-class solutions. Company Description About IntegraONE IntegraONE is looking for a talented team member who has a passion for technology and digital transformation. At IntegraONE, we believe companies and educational institutions that put technology at the center of their business win. This philosophy drives our passion for building better solutions from edge-to-cloud, that empower organizations to be secure, collaborative, and data-driven. As a premier technology solutions provider, IntegraONE has some of the highest credentialed engineers in the country, and a fantastic community built on trust, respect, and support. We know the work we do helps organizations of all sizes and industries to burst through barriers and deliver an exceptional customer experience. IntegraONE has offices in Allentown, Philadelphia, Harrisburg, Wilkes-Barre, and Pittsburgh Equal Opportunity Employer IntegraONE is an equal-opportunity employer. All employment-related decisions and practices are free from unlawful discrimination. IntegraONE makes all hiring decisions. IntegraONE is an employee-centric company with a fantastic culture, excellent benefits and an excellent reputation in the IT industry. If you require reasonable accommodation during any part of the application or interview process due to a disability, please contact us to make the necessary arrangements Company Description About IntegraONE IntegraONE is looking for a talented team member who has a passion for technology and digital transformation. At IntegraONE, we believe companies and educational institutions that put technology at the center of their business win. This philosophy drives our passion for building better solutions from edge-to-cloud, that empower organizations to be secure, collaborative, and data-driven. As a premier technology solutions provider, IntegraONE has some of the highest credentialed engineers in the country, and a fantastic community built on trust, respect, and support. We know the work we do helps organizations of all sizes and industries to burst through barriers and deliver an exceptional customer experience. IntegraONE has offices in Allentown, Philadelphia, Harrisburg, Wilkes-Barre . click apply for full job details

Job description: Network Engineer The Role & Key Responsibilities To support our growing business, activities and needs, we are recruiting a talented Network Engineer to join our Global team located in Mount Pleasant, South Carolina. The Network Engineer will actively contribute to maintain, secure, and monitor the existing network architecture as well as to the design of the future network and its implementation. KEY RESPONSIBILITIES - Implementing, maintaining, supporting, developing and, in some cases designing communication networks within an organization or between organizations - Ensuring the integrity and high availability of our network infrastructure - Establishing networking environment by defining, implementing, documenting, and enforcing system standards - Securing network system by establishing and enforcing policies and defining and monitoring access - Supporting and administering firewall environments in line with IT security policy - Configuration of routing and switching equipment - Supporting NOC and on-site engineers - Troubleshooting and fault finding if issues arise - Fulfilling ad hoc tasks and projects as required by the Company - Contributing to the definition and implementation of project best practices and quality processes - Liaising with external provider when network management is outsourced LOCATION - Full Time, Hybrid Position to be filled in Mount Pleasant, SC - Candidate MUST be able to reliably commute daily - Availability for travel may be required after gaining sufficient knowledge BENEFITS - 401(k) - 401(k) matching - Health, Dental, Vision insurance - Employee discounts - Flexible spending account - Health savings account - Life insurance - Paid time off - Parental leave Qualifications and Experience - Fundamental understanding of and hands-on experience with network technologies including but not limited to firewalls, content filters, routing/switching, VLANs, and 802.11a/b/g/n/acwireless - Working Knowledge Microsoft Azure ( VNETs, NSGs, Azure Firewall, UDR, VPN, Load Balancing methods, VNet Peering and Hub-Spoke Architecture, Monitor) - Proven hands-on experience and expertise with Fortinet firewalls or assimilated products - And/or proven hands-on experience and expertise with Netscaler Load Balancers or assimilated products - Thorough knowledge and hands-on experience with fundamental networking protocols including TCP, STP, ARP, Ethernet, OSPF, VPN, BGP, SD-WAN, etc - Experience supporting or testing LANs, VLANs, WLANs, VPNs, NAT devices, &/or DHCP servers - Experience supporting and administering Load balancers, Proxy, reverse Proxy, Firewalls, Routers, Switches - Proven experience in incident management, service request management and troubleshooting using root cause analysis (RCA) techniques - Ability to multitask and work under pressure - Outstanding English languages written and verbal communication skills. - Outstanding customer service skills OPTIONAL REQUIREMENTS - Experience of using ticketing systems and use of monitoring and management tools - Experience installing and troubleshooting WiFi networks - Working knowledge of public DNS zones and Global Servers Load Balancing (Traffic Manager) - Cloud hands-on experience (Azure) - Certification in Networking (e.g. CCNA, CCNP, Cisco Meraki Solutions Specialist, Juniper JNCIA) EDUCATION LEVEL - Recent colleague graduate (BA) or - High School graduates with sufficient industry/field experience Qualifications: Qualifications and Experience - Fundamental understanding of and hands-on experience with network technologies including but not limited to firewalls, content filters, routing/switching, VLANs, and 802.11a/b/g/n/acwireless - Working Knowledge Microsoft Azure ( VNETs, NSGs, Azure Firewall, UDR, VPN, Load Balancing methods, VNet Peering and Hub-Spoke Architecture, Monitor) - Proven hands-on experience and expertise with Fortinet firewalls or assimilated products - And/or proven hands-on experience and expertise with Netscaler Load Balancers or assimilated products - Thorough knowledge and hands-on experience with fundamental networking protocols including TCP, STP, ARP, Ethernet, OSPF, VPN, BGP, SD-WAN, etc - Experience supporting or testing LANs, VLANs, WLANs, VPNs, NAT devices, &/or DHCP servers - Experience supporting and administering Load balancers, Proxy, reverse Proxy, Firewalls, Routers, Switches - Proven experience in incident management, service request management and troubleshooting using root cause analysis (RCA) techniques - Ability to multitask and work under pressure - Outstanding English languages written and verbal communication skills. Why is This a Great Opportunity: Great company, largest in it's industry

Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. The Position We're looking for a Senior Network Engineer to own and evolve our enterprise network across multi-site and cloud environments. You'll be a key technical voice shaping infrastructure strategy, driving security posture through zero-trust principles, and ensuring high availability for business-critical systems - all while working remotely on a collaborative, senior-level team. Key Responsibilities Design & Architecture Architect scalable, resilient network solutions including routing/switching, SD-WAN, firewalls, VPN, QoS, and zero-trust segmentation. Define requirements, evaluate technologies, and lead infrastructure changes from design through implementation. Develop and maintain business continuity and disaster recovery plans for all network components. Operations & Maintenance Perform proactive maintenance - patching, upgrades, tuning, and health monitoring across the networking estate. Manage vulnerability findings and vendor security advisories for network equipment and systems. Maintain accurate network documentation, configuration baselines, and topology diagrams. Own and resolve network-related incidents and service requests, driving issues to resolution. Collaboration & Strategy Partner with security, infrastructure, and application teams to support firm-wide initiatives. Evaluate emerging technologies and translate their impact into actionable recommendations. Serve as a technical mentor and backup resource across the Network Engineering team. Communicate clearly with technical and non-technical stakeholders at all levels. Qualifications 10+ years of hands-on network engineering experience across multi-site enterprise environments Bachelor's degree in Computer Science, Information Technology, or a related field - or equivalent professional experience. Palo Alto Firewalls - Production deployment, policy management, and troubleshooting of Palo Alto NGFW (Panorama experience a strong plus). Cisco ACI - Hands-on experience with Nexus 9300/9000 series in ACI mode - fabric design, EPG/contract configuration, and troubleshooting. Proven ability to architect, implement, and troubleshoot complex, multi-vendor network infrastructure. Strong documentation habits - you leave networks better documented than you found them. Ability to translate ambiguous business requirements into clear, implementable technical designs. Excellent communication skills - comfortable presenting to both engineers and executives. Strong project management instincts with the ability to juggle multiple workstreams independently. A collaborative, team-first mentality balanced with the ability to drive work autonomously. Routing & Switching Deep expertise in enterprise routing protocols (OSPF, BGP) and switching (VLANs, port channels, spanning tree, QoS) across multi-site environments. Cisco certification at the professional or expert level (CCNP, CCDP, or CCIE) strongly preferred. Experience in professional services, financial services, or legal industry environments. Familiarity with network automation tooling (Ansible, Python/Netmiko, Terraform for network infra). Experience with public cloud networking (AWS, Azure) and hybrid connectivity patterns. Exposure to Panorama for centralized Palo Alto management at scale. Core Networking SD-WAN (Silver Peak / HPE Aruba EdgeConnect) - deployment, policy, and optimization DMVPN, IPSec VPN, and secure remote access architectures Load balancing (Citrix NetScaler / ADC) - configuration, SSL offload, and health monitoring Wireless networking via Cisco Meraki - deployment, RF planning, and troubleshooting Network tapping and packet capture solutions for visibility and forensics Security & Zero Trust Zscaler (ZIA/ZPA) - implementation, policy configuration, and troubleshooting ACL development and firewall policy lifecycle management Zero-trust network segmentation principles and implementation WAF configuration and proxy infrastructure Collaboration & Voice Cisco Call Manager (CUCM) and Unity Connection - administration and troubleshooting Network monitoring and management platforms (SolarWinds, PRTG, or equivalent) Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $135,000-$150,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here.

Vantor is seeking a Staff Cloud Security Engineer to secure mission critical cloud platforms for Defense & Aerospace clients. You'll lead design and implementation of security architectures on AWS/Azure, champion Zero Trust, and embed security into modern web, data, and automation solutions. Partner with DevOps and product teams to implement IaC, CI/CD security gates, and continuous monitoring. You'll guide threat modeling, harden workloads to NIST/DoD standards, and mentor engineers while helping clients modernize securely in a collaborative, low ego, learning focused culture.

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.

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.

Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science 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 Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits 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.

Job Description AI Engineer Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The Opportunity MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment. Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions. Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines). Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks. Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights. Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues. The Minimum Qualifications 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale. 4+ years of experience across the following areas: Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure. Python programming, with the ability to write clean, well-tested, production-quality code. Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience. Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry. Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science 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 Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits 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.