217 jobs found

Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.

Job Description Senior Enterprise Services System Engineer job in Scottsdale, Arizona is available with Moseley Technical Services Top Aerospace / Defense company . In this job you will support the Space Development Agency as a member of a cross-functional team responsible for developing and deploying the state-of-the-art ground operational systems. Responsibilities: Develop, update, and sustain Enterprise Services system-engineering documentation supporting network, cloud, DMZ, and hybrid infrastructure capabilities. Author and maintain system specifications, architecture descriptions, design documents, interface control documents, architecture description documents, and network diagrams Translate needs, concepts, and technical requirements into clear, traceable system-engineering artifacts. Develop and maintain ICDs for network, cloud, external mission partner, Operations Center, Ground Entry Point, SVV, and enterprise-service interfaces. Work closely with Network, Cloud, Cybersecurity, Operations, Integration and Test, and Systems Engineering, to resolve documentation issues. Ensure documentation reflects the deployed environment, approved architecture, planned capability increments, interfaces, configurations, and technical decisions. Support requirements decomposition, allocation, traceability, verification planning, and updates to requirements traceability matrices. Participate in technical interchange meetings, design reviews, architecture working groups, DRRs, and configuration-control activities. Coordinate document reviews, adjudicate comments, maintain version control, and route documents through required approval and release processes. Ensure documentation supports the PWSA Tranche-based development approach by documenting current-state, planned-state, and future-state architecture evolution. Identify documentation gaps, outdated artifacts, interface inconsistencies, and technical dependencies; develop plans to address them. Support development of technical estimates, schedules, work plans, and backlog stories for documentation and systems-engineering activities. Provide Systems Engineering leadership for documentation priorities, quality standards, completion criteria, and delivery commitments across the Enterprise Services team. Required Skills & Experience U.S. citizen with active Department of Defense Secret security clearance Bachelor's degree in Systems Engineering, or STEM and 8+ years of relevant experience; or Master's degree and 6+ years of experience. 15+ years of recent experience designing, integrating, or sustaining complex distributed software systems 10+ years of recent experience working satellite-ground systems or similar national-security mission programs 5+ years of recent experience working in cloud or hybrid-cloud environments Demonstrated experience developing system-engineering documentation for complex network, cloud, or hybrid-cloud environments. Experience supporting SDA, PWSA, or GMI programs Familiarity with cloud networking and services, preferably AWS GovCloud and/or AWS SC2S, including VPCs, Transit Gateways, Direct Connect, load balancers, security groups, and Infrastructure as Code concepts.

Job Description Job Title: PLM Program Manager & Onsite Coordinator Durations: Long-Term Job Description & Skill Requirement: • Overall experience of 10+ in Windchill PLM and 1 or more years of experience, with emphasis as Windchill Technical Architect for various customers, project life-cycle management systems, product data management, and associated networking systems. • Capable of managing the team of 25+ resources with different skill sets and guiding them with best practices, technical assistance and mentoring them for any few functionality and features • Capable of interfacing customers and coordinating the requirements, status updates, enhancements, deployments and go-live supports • Experienced conducting weekly, monthly and quarterly reviews and generating data for status reports for senior management review. • Experience in resource planning and allocation. • Technical liaison between customers and LTTS team. • Experienced in Windchill 13.0/13.1, Customizations of ACLs, Lifecycles, Workflows, InfoTasks, Webjects, OIRs, actions/action-models. • Experienced in use of Windchill PLM, PDMLink and PTC's product suite. Priority 1: • 10+ years of Windchill PLM experience. • Windchill Technical Architect experience. • Experience managing 25+ resources and coordinating customer requirements. • Windchill PLM, PDMLink, and PTC product suite. • 3+ years of Windchill customization (Version 10 and above). • Experience in project planning, resource allocation, status reporting, and customer coordination. Priority 2: • Windchill 13.0/13.1. • Customizations of ACLs, Lifecycles, Workflows, InfoTasks, Webjects, OIRs, and Actions/Action Models. • Java, JSP, JavaScript, J2EE, and XML. • Proposals, SOWs, effort estimation, Microsoft Project (MPP), and Visio. • Infrastructure design, system upgrades, deployments, and go-live support. Education & Experience: • Education: Bachelor's degree in Engineering, IT, or Computer Science, or 10+ years of experience in lieu of a degree as specified in the JD. • Experience: 10+ years in Windchill PLM; 3+ years in Windchill customization. Benefits: Eligible employees may have access to benefits offered by Intellectt Inc. in accordance with the applicable benefit plans and eligibility requirements. Equal Employment Opportunity: Intellectt Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Description Security Architect / Senior Information Security Engineer (3 Month Contract-to-Hire) - Onsite 4 days a week Oak Brook, IL 60523 - Prefer experience in a regulated or payment-card environment. - NO (Sponsorship, H1b, Transfers, OPT, Corp-to-Corp) CBTS is searching for an experienced Security Architect to design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers. This is a hands-on, senior-level role responsible for security architecture and controls, incident response leadership, compliance (PCI-DSS and SOX), and threat management, aligned to industry frameworks including NIST CSF, ISO 27001, and CIS Controls. The ideal candidate combines deep technical expertise with the ability to advise leadership and raise security maturity across the organization. This is a 3-month contract-to-hire engagement and must be able to work onsite four days per week out of our Oak Brook, IL 60523 office/location. Responsibilities Security Architecture & Controls Design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers, aligned to business objectives and industry frameworks (NIST CSF, ISO 27001, CIS Controls). Define security standards, reference architectures, and control baselines; review new projects, system changes, and vendor solutions against them. Identify critical gaps in existing security systems, research candidate tools, and lead their evaluation, selection, and deployment. Incident Response Lead end-to-end cyber incident response: detection, triage, containment, eradication, recovery, and post-incident review. Act as the primary technical contact for the Managed Security Service Provider (MSSP); triage and validate escalated alerts and tune detection rules to reduce false positives. Maintain the incident response plan and playbooks, run tabletop exercises, and coordinate with legal, communications, and business stakeholders to minimize downtime and impact. Compliance & Audit Own the security elements of the PCI-DSS and SOX programs: control design, evidence collection, gap remediation, and liaison with internal and external auditors. Improve audit workflows through automation, standardized evidence, and continuous control monitoring. Maintain security policies, standards, and procedures, and track exceptions through to closure. Threat Management & Operations Monitor emerging threats, vulnerabilities, and attack techniques; translate them into prioritized security measures and roadmap items. Oversee vulnerability management, penetration testing, and remediation tracking across infrastructure and applications. Troubleshoot and resolve network and security issues (firewalls, VPN, IDS/IPS, email security, EDR, SIEM) to keep systems secure and operational. Leadership & Advisory Advise leadership on security risk, investment priorities, and the security implications of business initiatives. Mentor IT and security staff and raise security awareness across the organization. Requirements: 7+ years in information security, including 3+ years designing security controls or architecture in an enterprise environment. Hands-on experience leading cyber incident response and working with an MSSP or SOC, including alert triage and threat investigation. Working knowledge of PCI-DSS and SOX IT general controls, including evidence preparation and auditor engagement. Strong understanding of network security (firewalls, segmentation, VPN, IDS/IPS), identity and access management, endpoint protection (EDR), email security, and SIEM. Experience with cloud security (Azure, AWS, or OCI) and securing hybrid environments. Proven record of evaluating, selecting, and deploying security tools that measurably reduced risk. Ability to analyze emerging threats and translate them into practical, prioritized security measures. Clear written and verbal communication, with the ability to explain risk to both technical teams and senior management. Experience with zero-trust architecture, secure SDLC, and DevSecOps practices. Familiarity with NIST CSF, ISO 27001, or CIS Controls as governance frameworks. Scripting or automation skills (PowerShell, Python) for security tooling and evidence collection. Experience in a regulated or payment-card environment. Certifications such as CISSP, CISM, CCSP, SABSA, TOGAF, or GIAC (GCIH, GCIA, GSEC). CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.

Job Description Location: Naperville, IL - Initial hybrid 3x/week onsite, transitioning to remote Pay: 130k-160k+ BOE No 3rd parties please MMD Services is partnering with a long-standing client, a well-established national organization with exceptional employee tenure, on a major cloud modernization initiative. MMD has partnered with hiring managers and senior leadership within this org for the last 10 years and all presented candidates will be shortlisted. We're looking for a seasoned infrastructure engineer who understands both legacy and modern cloud technologies and can bring practical experience, technical leadership, and fresh ideas to the team. What You'll Be Doing: Take ownership of AWS infrastructure engineering across EC2, S3, VPC, and related services. Help introduce Terraform and Infrastructure as Code into an environment currently relying on manual provisioning and management. Collaborate with Microsoft and internal engineers on a large-scale VMware-to-Azure migration. Identify and resolve technical challenges involving legacy applications, Windows Server, VMware, and hybrid infrastructure. Evaluate existing cloud environments and recommend improvements to architecture, automation, performance, and reliability. Contribute to technical decisions and best practices across AWS, Azure, and on-premises infrastructure. What We're Looking For: 10+ years of progressive infrastructure engineering experience, with a strong foundation in traditional on-premises environments. Hands-on experience migrating legacy VMware/Windows workloads into Azure. Strong AWS infrastructure experience, including EC2, S3, VPC, and IAM. Experience with Terraform and Infrastructure as Code, ideally including implementing automation in traditional environments. Strong background in VMware/vSphere, Windows Server, Active Directory, and legacy enterprise applications. Hands-on Azure experience, including Azure Portal, virtual machines, storage, and networking. Ability to work independently, troubleshoot complex environments, and contribute meaningful technical recommendations. Nice to Have: Azure Migrate, Azure Site Recovery, Azure Monitor, or Azure Backup. CloudFormation, Ansible, or PowerShell. Cloud security, monitoring, backup, and disaster recovery experience. Why This Opportunity? You'll work alongside an experienced infrastructure team and Microsoft implementation resources on a significant modernization initiative. The environment combines traditional enterprise systems with modern cloud technologies, giving you the opportunity to apply your past migration experience, help introduce new automation practices, and influence technical improvements. About MMD Services: MMD Services is a Chicago-based boutique IT recruiting firm with over 20 years of established client relationships. We work directly with hiring leadership and take a personalized, quality-over-quantity approach to recruiting. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification in accordance with applicable federal, state, and local laws.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details

Pay Range: $95.00hr - $100.00hr Job Overview: The organization is modernizing how employees communicate and collaborate. Over the next months, company-wide chat will move from Zoom Team Chat to Slack Enterprise, and content will be migrated from Box to Microsoft SharePoint and OneDrive. These programs touch every employee, every function, and external partners. The Technical Program Manager will lead these programs end to end, focusing on building alignment across senior stakeholders, working closely with Legal, Security, and Records Management, and driving organizational adoption. The ideal candidate has led large, cross-functional technology programs, understands organizational change management, and can quickly adapt to the technical landscape. Responsibilities: Own the end-to-end plan for the Slack implementation and Box-to-SharePoint migration, including scope, schedule, dependencies, risks, and budget. Design phased rollout and migration waves that balance business priorities, technical readiness, and organizational capacity for change. Coordinate internal teams, vendors, and professional services partners, holding all parties accountable to commitments. Plan and manage coexistence periods, cutover, decommissioning of legacy platforms, and post-go-live hypercare. Establish and run program governance, including a Steering Committee, decision log, and clear escalation paths. Build strong working relationships with business leaders across functions and regions, understanding their workflows and constraints. Partner early and continuously with Legal, Information Security, Privacy, Records Management, and Compliance on retention, legal hold, eDiscovery, external sharing, and data handling requirements. Prepare clear, concise executive communications and status reporting, including candid assessments of risk. Navigate resistance and competing priorities with diplomacy, distinguishing valid constraints from preference. Develop and execute a change management strategy covering audience analysis, communications, training, and support. Build and lead a Champions Network that drives peer-to-peer adoption and provides feedback to the program team. Partner with Communications and Learning teams to deliver messaging and training tailored to different audiences, from executives to frontline employees. Define clear guidance on how collaboration tools fit together (for example, when to use Slack versus Microsoft Teams, or SharePoint versus OneDrive). Define and track adoption metrics, and adjust the approach based on data and user feedback. Work with platform engineers and architects on solution design, including information architecture, permissions mapping, integrations, and identity and access requirements. Understand migration tooling, data volumes, and content complexity well enough to identify risks and make informed trade-offs. Drive standards for platform governance, such as channel naming, app and integration approval, site provisioning, and guest access. Requirements: 7+ years of program or project management experience, including leading large, cross-functional technology initiatives that affected a broad employee population (for example, ERP, infrastructure, end-user computing, or enterprise application rollouts). Demonstrated experience leading change management and driving user adoption, not just technical delivery. Track record of managing senior stakeholders, building governance structures, and influencing without direct authority. Experience working with Legal, Security, or Compliance teams on technology programs with regulatory or data governance requirements. Strong written and verbal communication skills, including the ability to tailor messages for executive and general employee audiences. Comfort with ambiguity and the ability to learn new platforms quickly. PMP, PgMP, or equivalent certification. Preferred: Experience with enterprise collaboration platforms such as Slack, Microsoft 365, SharePoint, Teams, Box, or Zoom. Experience with content or data migrations, including permissions and records retention considerations. Experience in a regulated industry such as medical devices, healthcare, life sciences, or financial services. Familiarity with change management frameworks such as Prosci ADKAR. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Required Education -Bachelor's Degree Required Experience -10+ years of hands-on experience deploying, migrating, managing, and supporting complex enterprise and data center networks Preferred Certification -CCNP-level knowledge is strongly preferred -Relevant Cisco certifications are a plus Required Skills -Data Center Networking: Expert-level hands-on Cisco Nexus and Catalyst routing/switching; BGP, OSPF, L2/L3 design, resiliency, segmentation -Enterprise WAN & SD-WAN: Design, deployment, migration, routing integration, policy, branch connectivity, path selection, troubleshooting - Prisma SD-WAN strongly preferred -Cisco Data Center Platforms: Nexus, Catalyst, fabric management - NDFC strongly preferred; Catalyst Center a plus -Cloud Connectivity: Azure ExpressRoute and/or AWS Direct Connect (BGP routing, route advertisement, redundancy, cloud team collaboration) -Complex Migrations: Dependency management, testing, change control, rollback planning, post-implementation validation -Hands-On Implementation Leadership: Assess environment, develop approach, execute production work, validate, resolve with minimal direction -Network Security & Adjacent Services (preferred): Enterprise firewalls, DNS/DHCP/IPAM, load balancing - Palo Alto, Infoblox, F5 particularly valuable -Automation Awareness: Terraform, Ansible, Python, GitHub, GitHub Actions, IaC, GitOps (concepts desired; coding preferred, not required) -Observability & Troubleshooting: Packet analysis, telemetry, monitoring tools across hybrid environments -Communication & Collaboration: Strong written/verbal/interpersonal skills across Architecture, Cloud, Security, Operations, vendors, and global teams -Soft Skills: Self-starter, sound engineering judgment, strong ownership, continuous improvement Job Description -Senior hands-on engineer with deep expertise in data center routing/switching, enterprise WAN and SD-WAN, and hybrid cloud connectivity -Primarily focused on engineering execution: personally implementing, migrating, troubleshooting, and supporting production infrastructure -Contributes practical input to network designs and architecture decisions -Delivers and supports infrastructure across global private data centers, colocation facilities, cloud connectivity environments, and enterprise sites -Owns complex tasks with minimal direction; collaborates with Architecture, Cloud, Security, Operations, and application teams -Transitions completed solutions into stable operational support -Data Center Routing & Switching: Implement, migrate, optimize, troubleshoot Nexus/Catalyst environments (L2/L3, BGP, OSPF, redundancy, segmentation, HA) -Data Center Network Management: Deploy/operate fabrics and management platforms (NDFC or comparable) -SD-WAN & Enterprise WAN: Design, deploy, migrate, support SD-WAN/WAN services (Prisma SD-WAN preferred) -Cloud Connectivity: Implement/troubleshoot private connectivity (ExpressRoute / Direct Connect); collaborate with Cloud Engineering -Global Network Deployments: Lead hands-on deployments and complex migrations (planning, testing, cutover, rollback, validation) -Tier 3 Technical Support: Senior escalation point; independently diagnose/resolve complex production issues -Network Services Collaboration: Work across firewalls, DNS/DHCP/IPAM, load balancing (Palo Alto, Infoblox, F5 preferred) -Network Design: Contribute implementation expertise to architecture/design reviews (readiness, supportability, risk, feasibility) -Automation: Work in an automation/IaC environment (Terraform, Ansible, Python, GitHub, GitOps) -Documentation & Knowledge Transfer: Maintain designs, implementation plans, MOPs, test/rollback plans, diagrams, config standards, handoff docs

Job Description Senior Cloud Engineer Join a cloud engineering team responsible for building, operating, and improving secure, scalable cloud infrastructure. In this role, you will focus primarily on Microsoft Azure, using infrastructure as code, automation, and CI/CD practices to deliver reliable cloud services. You will collaborate with application owners, architects, infrastructure engineers, and business partners to accelerate delivery while maintaining security and governance standards. Job Details Salary: $140,000-$160,000 annually, plus a 10%-20% bonus Location: Tampa, FL; Plano, TX; or Camas, WA. On-site for the first 90 days, followed by up to 75 work-from-home days per year. Employment Type: Direct hire What You'll Do Design, deploy, and manage scalable, resilient Azure cloud infrastructure using Terraform and other automation technologies. Build reusable infrastructure-as-code modules and improve CI/CD pipelines to create faster, consistent, and reliable deployments. Implement cloud security and governance controls, including secure landing zones, identity governance, secrets management, compliance enforcement, and Microsoft Defender for Cloud. Develop and support cloud infrastructure for containerized and AI-based workloads. Partner with application owners, architects, technical leads, and infrastructure teams to ensure solutions align with security requirements, engineering standards, and cloud best practices. Monitor cloud environments to identify operational risks, gaps, performance issues, and optimization opportunities. Participate in peer code reviews, technical design collaboration, and a rotating 24/7 on-call schedule for planned and unplanned maintenance. Job Requirements 10+ years of IT infrastructure experience, including 5+ years building, deploying, and managing IaaS and PaaS services in Azure and/or AWS. 4+ years of hands-on Terraform experience, including reusable modules, state management, infrastructure as code, and automated CI/CD pipelines. 2+ years of hands-on Kubernetes and containerized workload experience, plus strong networking knowledge across DNS, routing, firewalls, and private connectivity. Hands-on cloud security and governance experience, along with scripting/automation and Linux and Windows Server administration. Azure DevOps Engineer Expert, Azure Solutions Architect Expert, or equivalent cloud certification. Benefits 100% employer-paid medical, dental, and vision premiums for employees and qualifying dependents. 50% 401(k) match, up to the IRS maximum. 20 days of PTO plus 10 paid holidays. Family support benefits, including 8 weeks of paid primary caregiver leave, $10,000 in fertility, family-forming, and hormonal health assistance, plus backup child, adult, and elder care programs.

Job Description Job Title: Infrastructure Cloud Architect Primary Location: Chicago, IL (Hybrid - 3 days onsite / 2 days remote) Position Type: Full-Time, Direct Hire Must Be Citizen or Green Card OVERVIEW: An Infrastructure Cloud Architect. This is a full-time, direct hire role in Chicago, IL, working a hybrid schedule of three days onsite and two days remote. This senior, hands-on technical leadership role exists to guide our client's Azure-first hybrid infrastructure transformation as they exit legacy data centers and expand their Azure footprint. This is an infrastructure-focused position - not application architecture or DevOps - spanning Azure, traditional enterprise infrastructure, networking, security, compute, storage, virtualization, resiliency, and governance. You'll set architectural direction while staying hands-on enough to design, build, troubleshoot, and support the infrastructure yourself. WHAT YOU BRING TO THE ROLE. (IDEAL EXPERIENCE) 10+ years of progressive experience across enterprise infrastructure, engineering, or architecture, with a strong foundation in traditional on-premises infrastructure that has evolved into Azure and hybrid cloud Deep, hands-on Microsoft Azure infrastructure experience, including significant Azure/on-premises hybrid-cloud work Strong Azure networking expertise: VNets, routing, DNS, ExpressRoute, private endpoints, firewalls, load balancing, and segmentation Solid understanding of networking and security dependencies across a complex hybrid environment Experience with compute, servers, virtualization (VMware, Azure VMware Solution), and storage architecture Working knowledge of identity, RBAC, security controls, and cloud governance Infrastructure as Code experience Proven infrastructure resiliency, troubleshooting, and root-cause analysis skills in large-scale, complex environments (scale and complexity matter more than industry) Ability to build architecture diagrams, standards, and patterns and clearly explain technical decisions to leadership A true hands-on track record - you can say "I designed it, I built it, I configured it, I supported it, I troubleshot it." Candidates whose experience is primarily coordinating migrations, managing implementation partners, or reviewing others' work are unlikely to be a fit Either a senior Infrastructure/Cloud Engineer ready to step into architecture, or a current Architect who has stayed close to the technology WHAT YOU'LL DO. (SKILLS USED IN THIS POSITION) Provide architectural direction and technical leadership for an Azure-first hybrid infrastructure transformation, including the exit of legacy primary data centers Help transition workloads to new colocation facilities located closer to Azure regions Leverage Azure VMware Solution (AVS) during the transition while gradually reducing VMware dependency Move additional workloads toward Azure IaaS Establish infrastructure standards, patterns, and governance for the future hybrid environment Personally design, build, configure, and support infrastructure across networking, security, compute, storage, and virtualization - roughly 60% architecture/strategy and 40% hands-on implementation and operational support in Year 1 Serve as a senior technical escalation point, joining critical incidents to quickly assess what changed, identify dependencies, determine where to start, and drive the technical investigation Develop and maintain architecture diagrams and documentation, and communicate technical decisions to leadership Participate in the on-call rotation (primary or secondary roughly every 6-7 weeks) for after-hours emergencies

Ken's Foods is a family owned business that takes pride in its roots. Ken's Foods, Inc was incorporated in 1958, and currently has plant operations in Marlborough, Massachusetts, McDonough, Georgia, Las Vegas, Nevada, and Lebanon, Indiana. In addition, Ken's employs over 1000 employees nationally. To this day, Ken's is still owned by the same family, as they continue their tradition of flavor obsession. Joining Ken's Foods is becoming part of an enthusiastic team. Whether you're in our state-of-the-art facilities or in our corporate headquarters, you'll enjoy a warm company culture and get all the tools you will need to succeed in your career. SUMMARY The Automation Engineer will support our Corporate Engineering team with Manufacturing Systems Controls Design and Support. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Development, integration, and maintenance of manufacturing equipment controls systems, manufacturing systems automation, industrial electrical maintenance and design, and human-machine interfaces, and industrial communications networks under the direction of senior corporate engineers and integrators. Must have experience with Ignition. Experience with some of the following is strongly desired: Rockwell RSLogix 5, 500, 5000, Studio Rockwell RS View, Factory Talk Studio Inductive Automation Ignition. Must have experience with Ignition. Rockwell PowerFlex Variable Frequency Drives Rockwell Point IO and Flex IO systems Industrial electrical panels and wiring Exposure and understanding of the following are beneficial: Industrial flow meters, temperature probes, level sensors, photoeyes, and solenoid valves Wonderware InTouch, InBatch Microsoft SQL AutoCAD VMWare Workstation Player and vSphere Programming (C++, Visual Basic, Java, Python, etc.) Cisco networking hardware Fanuc Robotic Application Must be available to travel to all Facilities to assist with project work and start-ups. Work with site Control Technicians for troubleshooting, training, and start-ups. Develop and foster strong relationships with Plant Operation team to evolve current systems architecture and maximize manufacturing efficiencies and output. Job requires interaction with plant personnel both hourly and salary. Good people management skills, Customer focused personality and approach are a must. Support local Operations needs for electrical and automation system support. Create written instructions for local Maintenance department for automation systems Commitment to safety begins with management. Managers and frontline supervisors are accountable for creating and maintaining a culture of Safety and assuring a safe work environment. Education and/or Experience Bachelor's degree (B. S.) from four-year College or university in software engineering, electrical engineering, or related discipline. 4+ years' experience with industrial control systems. SKILLS AND ABILITIES Good understanding of industrial automation programming concepts Strong understanding of electrical concepts and theories Understanding of computer WAN and LAN networks Ability to work and manage time independently Ability to quickly learn about new software, hardware, and automation equipment and effectively implement it The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $90k-110K annually. At this time, we are not able to consider candidates who require, or may require, current or future visa sponsorship. This may include, but is not limited to, candidates in F-1/OPT, CPT, H-1B, TN, E-3, H-4 EAD, or similar temporary work-authorized visa statuses. Employment with Ken's Foods is contingent upon successful completion of a drug test, background screening, and pre-employment assessment.

Position Summary As a member of the professional staff, contributes a high level of specialized knowledge and skill in a discipline (e.g. Accounting, Finance, Human Resources, Information Technology, Operations Planning & Support, Sales & Marketing) area to support department and/or function objectives. Generally, works with limited oversight, coordinating and executing operating plans and related operational processes within their department and monitoring the flow of work between their department and others in alignment with broader business objectives, selecting and developing effective administrators and work teams, and collaborating within their organization through reliable systems and processes. Business Context Marriott Vacations Worldwide (MVW) is a leading global vacation company that offers vacation ownership, exchange, rental and resort and property management, along with related businesses, products, and services. The Company has over 120 vacation ownership resorts and approximately 700,000 owner families in a diverse portfolio that includes some of the most iconic vacation ownership brands. The Company also operates exchange networks and membership programs comprised of nearly 3,200 affiliated resorts in over 90 countries and territories, as well as provide management services to other resorts and lodging properties. Global Technology Context The Global Technology (GT) team at Marriott Vacations Worldwide (MVW) is on a multi-year journey to modernize technical and digital products and platforms across all business lines. This role demands a highly motivated mentor with a technical understanding of the range of resort operations technical products in solving complex business challenges. Proven success as a high-level team contributor in executing technical efficiency to support contact center technologies and resort PBX's is required. Job Summary The Infrastructure Wiring Lead Unified Communications is responsible for leading and executing assigned processes, standards, and technology activities in support of ensuring the Company's strategic direction related to Structured wiring projects at Resorts. This role serves as a senior technical subject matter expert for structured wiring and related unified communications infrastructure. The position collaborates with strategic vendors and business partners to understand business requirements by leading the development, refinement, and meeting all SLAs as required within this area of responsibility. This critical role reports directly to the Director of Unified Communications while working closely with Architecture & Construction, other IT disciplines, IT Security and Controls, Internal Audit, Asset Management, Procurement, and other groups as identified to ensure compliance with set requirements. Working Relationships Global Technology Teams and Leadership Regional and Site Leadership Corporate Leadership Vendor/Suppliers Global Technology Services Resort End User Support Teams Resort Operations Business Leaders Expected Contributions Works with the Architecture and Design team to coordinate and lead low voltage structured wiring projects, manage goals and priorities, resolves conflicting direction and serve as a key senior technical contributor for the A&C team on a day-to-day basis. Partners with internal business partners, vendors, and fellow teammates for supplier outcomes to ensure alignment and achievement of goals and objectives as they relate to the Structured Wiring scope. Leads and executes team and company standards and direction to exceed expectations for Corporate, Contact Center, and Structured Wiring. Responsible for proactively identifying and resolving moderate to complex technical and operational issues by working closely with GT Partners, Vendors, Suppliers, and Business Leaders. Works closely with A&C and Business Leadership, GT Leadership, IT Security and Controls, Information Security, Business Leaders and other stakeholders to define requirements and develop new features & functionality to optimize business processes. Leads the implementation of test strategies and manages related testing processes by introducing progressive testing concepts that focus on efficiency without sacrificing quality. Manages defect detection, documentation, escalation, and "confirmation of resolution" processes, ensuring that a standard approach is being followed throughout the larger Global Technology Team and that proper tooling and reporting mechanisms are in place. Leads refining repeatable and continually improving processes. Mature the team's capabilities by introducing progressive concepts that focus on efficiency but sacrifice nothing on quality. Encourage a sense of accountability across the organization to foster a culture that "owns" all misses and uses them to drive future process improvements. Coordinates with internal and external resources to lead project activities and support the delivery of high-quality projects within time and budget. Manage vendor relationships and technology road maps, evaluate new technologies for compatibility and security compliance, contribute to endpoint lifecycle management discipline for timely delivery of new services. Manages activities surrounding change management as needed to complete projects, including coordination of stakeholders, documentation of impacts, and communication of technical requirements. Assists, mentors and provides technical guidance to less senior associates in achieving business results by: Identifying opportunities to enhance the effectiveness of business processes. Providing training and technical guidance to less senior staff, where appropriate, and serving as point-of-contact for problem resolution. Provides input into department operating plans contributing recommendations that improve delivery, quality, scalability, and service outcome. Recognizing and celebrating team successes. Works closely with enterprise business leaders and technology partners to gain support for the program vision and influence adoption. Research new and innovative solutions and stays informed of industry best practices to promote efficiencies and increased maturity of Structured Wiring at resorts. Proactively engages with business and provides proactive updates to leadership on open activities or escalations. Candidate Profile Education: BS/MS Degree in Engineering, Computer Science, or equivalent work experience related to Structured Wiring noted previously. Certifications Preferred: Relevant certifications in Network+, project management, or relevant technologies ITIL Foundation certification (or higher) a plus, Project Management certification desirable OSHA Certification Experience Summary: At least 7 years of Telephony, Networking, and low voltage cabling At least 3 years project coordination Required Experience Project coordination and leadership Networking working knowledge WIFI functionality working knowledge Internet service provider working knowledge Telephony working knowledge Low voltage wiring working knowledge MS Office Suite i.e. Visio, Excel, Power Point Preferred Experience Project management Network Engineering Telephony Engineering Structure cable installation, code and compliance experience Structure cable testing protocols Skills/Attributes Advance analytical and strategic thinking Ability to read and understand blueprints Strong understanding of building codes, fire regulations, and industry guidelines such ANSI/TIA standards Ability to manage quality Assurance through final walkthroughs and audits to guarantee all cable terminations, racks, and pathways meet quality specifications High Level knowledge of Networking, Resort Telephony systems and dependencies, along with a working knowledge of low voltage cabling Deep understanding of copper (Cat5e, Cat6, Cat6a) and fiber optic cabling standards Project Management Skills Prior experience participating in a team of Telephony, Networking and low voltage wiring with a track record of successfully validating and delivering high-quality products Interpersonal communication skills-ability to convey clear and concise information Able to work at a fast pace and encourage others to do so as well Highly self-motivated, requiring minimal oversight, and detail oriented with the ability to effectively prioritize and execute tasks and initiatives Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.

Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.

Job Description We are seeking a Senior Platform Engineer to help evolve and scale a modern Kubernetes-based infrastructure platform supporting mission-critical applications and engineering teams. This role is focused on platform reliability, automation, infrastructure engineering, and improving developer productivity through cloud-native technologies and DevOps best practices. The ideal candidate has strong Kubernetes expertise, hands-on Golang development experience, and a deep understanding of distributed systems, infrastructure automation, observability, and production operations. This is a remote-friendly role with flexible hours, provided there is overlap with Eastern Time business hours. Responsibilities Design, maintain, and improve highly available Kubernetes-based infrastructure platforms Partner with development, SRE, networking, and infrastructure teams to gather requirements and deliver scalable platform solutions Build and enhance automation tooling, CI/CD pipelines, and GitOps workflows Customize and extend open-source platform components written in Golang Contribute fixes, enhancements, and integrations to internally maintained platform tooling Support zero-downtime deployments, upgrades, and platform migrations Improve cluster observability, monitoring, logging, and alerting capabilities Automate issue detection, remediation, and operational workflows Assist application teams with onboarding workloads into Kubernetes environments Help modernize legacy applications for containerized deployment architectures Evaluate and test emerging platform technologies and infrastructure tooling Required Qualifications Strong production experience operating Kubernetes environments Hands-on Golang development experience Deep understanding of Kubernetes architecture, APIs, control plane, and node operations Experience implementing GitOps workflows using tools such as Argo CD or Flux Experience building automation and infrastructure tooling Experience with Helm and Kubernetes application packaging Experience with CI/CD pipeline design and implementation Strong Linux systems and networking knowledge Experience with ingress, reverse proxies, or service networking technologies Experience implementing monitoring and observability using Prometheus or similar tooling Experience with centralized logging and operational visibility platforms Strong troubleshooting and production incident response skills Preferred Qualifications Experience contributing to or modifying open-source infrastructure tooling Experience with Kubernetes networking and traffic management concepts Familiarity with cloud-native infrastructure patterns and distributed systems Experience with highly available infrastructure deployments Experience with persistent storage orchestration in containerized environments Familiarity with cloud providers or hybrid infrastructure environments Experience supporting developer enablement and platform engineering initiatives Additional Information Remote-first engineering environment High-impact infrastructure and platform ownership Collaborative engineering culture with strong automation focus Opportunity to influence platform architecture and engineering standards

GovCIO LLC seeks a Data Center Engineer / Architect to design, implement, and optimize secure, highly available data center and cloud-hybrid infrastructures for federal agencies. You will architect network, compute, storage, and virtualization solutions, automate deployments, and ensure scalability, performance, and disaster recovery. Partner with cybersecurity, DevSecOps, and application teams to meet federal compliance and mission needs. In our mission-driven, collaborative culture, you'll use modern tools, mentor others, and grow your skills while supporting high-impact national programs and large-scale digital transformation initiatives. Responsibilities Design and architect scalable, secure data center and cloud-hybrid solutions for federal customers. Engineer and administer compute, storage, network, and virtualization platforms for high availability. Automate infrastructure provisioning and configuration using scripting and Infrastructure as Code tools. Implement monitoring, capacity planning, and performance tuning across data center environments. Develop and maintain disaster recovery, backup, and business continuity strategies. Ensure compliance with federal security, governance, and architecture standards (e.g., Fed RAMP, FISMA). Collaborate with cybersecurity, Dev Sec Ops, and application teams to support mission-critical systems. Document architectures, runbooks, and standards, and provide knowledge transfer and mentoring. Lead or support migration of legacy workloads into modern, cloud-enabled infrastructures. Continuously evaluate and recommend emerging technologies to improve reliability and efficiency. Required Skills Data center architecture Cloud infrastructure (AWS/Azure/GCP) Virtualization (VMware/Hyper-V/KVM) Enterprise storage and backup Network design (LAN/WAN/VPN) Automation/Scripting (Python/Power Shell) Infrastructure as Code (Terraform/Ansible) High availability and DR design Monitoring and performance tuning Security and compliance (Fed RAMP/FISMA)

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details

Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.

Required Education -Bachelor's Degree Required Experience -10+ years of hands-on experience deploying, migrating, managing, and supporting complex enterprise and data center networks Preferred Certification -CCNP-level knowledge is strongly preferred -Relevant Cisco certifications are a plus Required Skills -Data Center Networking: Expert-level hands-on Cisco Nexus and Catalyst routing/switching; BGP, OSPF, L2/L3 design, resiliency, segmentation -Enterprise WAN & SD-WAN: Design, deployment, migration, routing integration, policy, branch connectivity, path selection, troubleshooting - Prisma SD-WAN strongly preferred -Cisco Data Center Platforms: Nexus, Catalyst, fabric management - NDFC strongly preferred; Catalyst Center a plus -Cloud Connectivity: Azure ExpressRoute and/or AWS Direct Connect (BGP routing, route advertisement, redundancy, cloud team collaboration) -Complex Migrations: Dependency management, testing, change control, rollback planning, post-implementation validation -Hands-On Implementation Leadership: Assess environment, develop approach, execute production work, validate, resolve with minimal direction -Network Security & Adjacent Services (preferred): Enterprise firewalls, DNS/DHCP/IPAM, load balancing - Palo Alto, Infoblox, F5 particularly valuable -Automation Awareness: Terraform, Ansible, Python, GitHub, GitHub Actions, IaC, GitOps (concepts desired; coding preferred, not required) -Observability & Troubleshooting: Packet analysis, telemetry, monitoring tools across hybrid environments -Communication & Collaboration: Strong written/verbal/interpersonal skills across Architecture, Cloud, Security, Operations, vendors, and global teams -Soft Skills: Self-starter, sound engineering judgment, strong ownership, continuous improvement Job Description -Senior hands-on engineer with deep expertise in data center routing/switching, enterprise WAN and SD-WAN, and hybrid cloud connectivity -Primarily focused on engineering execution: personally implementing, migrating, troubleshooting, and supporting production infrastructure -Contributes practical input to network designs and architecture decisions -Delivers and supports infrastructure across global private data centers, colocation facilities, cloud connectivity environments, and enterprise sites -Owns complex tasks with minimal direction; collaborates with Architecture, Cloud, Security, Operations, and application teams -Transitions completed solutions into stable operational support -Data Center Routing & Switching: Implement, migrate, optimize, troubleshoot Nexus/Catalyst environments (L2/L3, BGP, OSPF, redundancy, segmentation, HA) -Data Center Network Management: Deploy/operate fabrics and management platforms (NDFC or comparable) -SD-WAN & Enterprise WAN: Design, deploy, migrate, support SD-WAN/WAN services (Prisma SD-WAN preferred) -Cloud Connectivity: Implement/troubleshoot private connectivity (ExpressRoute / Direct Connect); collaborate with Cloud Engineering -Global Network Deployments: Lead hands-on deployments and complex migrations (planning, testing, cutover, rollback, validation) -Tier 3 Technical Support: Senior escalation point; independently diagnose/resolve complex production issues -Network Services Collaboration: Work across firewalls, DNS/DHCP/IPAM, load balancing (Palo Alto, Infoblox, F5 preferred) -Network Design: Contribute implementation expertise to architecture/design reviews (readiness, supportability, risk, feasibility) -Automation: Work in an automation/IaC environment (Terraform, Ansible, Python, GitHub, GitOps) -Documentation & Knowledge Transfer: Maintain designs, implementation plans, MOPs, test/rollback plans, diagrams, config standards, handoff docs

Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.