Job Openings | Xlysi

Sr. Network Design Engineer | Hybrid | W2 Only (No OPT's Please) | - Spring, TX.

Mon, 08 Jun 2026 09:39:25 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Must Skills Required

Network routing, switching, Datacenter technologies (Spin & Leaf).

Job Description:

Advanced knowledge of and experience with networking technologies, concepts, Protocols. Including but not limited to TCP/IP, routing, switching, IPAM, DNS, DDNS, DHCP, F5 GTM / LTM, SSH, VPN, Internet Proxy, IPS, IDS, IP routing protocols including RIP, BGP, OSPF, IP Multicast, MPLS.
Experience with Routing, Quality of Service, Netflow, Wireless 802.11 a/b/g/n/ac/ax, virtual networks, NAT, ACL controls, Web Security/URL Filtering, IPSec, Intrusion Prevention System (IPS), Malware Prevention
IPv4 and IPv6 experience is must.
Knowledge, skills and experience with HP and Aruba routing, switching, and wireless hardware, software and protocols including Aruba Mobility Controllers, Aruba Instant Aps, Aruba Airwave, Aruba Central, Aruba Activate, Security, Aruba ClearPass
Experience with SDN, SD-WAN products and services, Working knowledge of structured cabling systems and network facilities.
Experience in firewall design, configuration and in network security including: Device Hardening, IDS/IPS, SIEM, Firewalls, and IPSec, vulnerability assessment and intrusion detection.
Strong WAN experience managing global network infrastructure.

Sr. NSX Engineer (Network) | Hybrid role | - Spring, TX.

Mon, 08 Jun 2026 09:38:32 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Responsibilities
Design and implement VMware NSX-T / NSX-V network virtualization solutions
Architect micro-segmentation and zero-trust network security
Deploy logical switching, routing (Tier-0/Tier-1), DFW, NAT, VPN, and load balancing
Lead NSX migrations (NSX-V to NSX-T)
Integrate NSX with vSphere, Kubernetes, and cloud platforms (AWS/Azure)
Troubleshoot complex network/security issues and perform RCA
Automate deployments using Python, PowerCLI, Terraform, or Ansible
Ensure performance, scalability, and high availability
Collaborate with network, cloud, and security teams
Mentor junior engineers and support solution design/pre-sales (Architect level)
Requirements
8–15+ years of IT experience with strong NSX-T expertise
Hands-on experience with NSX (DFW, routing, VPN, LB, micro-segmentation)
Strong networking fundamentals (TCP/IP, BGP, OSPF, VLAN, VXLAN/Geneve)
Experience with VMware stack (vSphere, ESXi, vCenter)
Scripting/automation skills (Python, PowerShell, Terraform, Ansible)
Experience with data center networking (Leaf-Spine architecture)
Knowledge of cloud networking (AWS/Azure) – preferred
VMware certifications (VCP-NV / VCAP / VCDX) – preferred
Strong troubleshooting, communication, and leadership skills

Sr. DevOps Engineer | On-site | W2 Only (No OPT's Please) | - Nashville, TN

Thu, 04 Jun 2026 14:40:03 GMT

Title: DevOps Engineer
Location: Nashville, TN (Onsite: 5 days a week)

8+ years (realistically 7–12+ years preferred) in cloud + DevOps/infrastructure

Hands-on across GCP + AWS (not just one cloud)

Strong Kubernetes + container platform engineer

Experienced in enterprise DevOps pipelines + CI/CD automation

Comfortable with production-grade systems (HA, scaling, security, monitoring)

Able to work in DevOps + SRE + Cloud Platform Engineering hybrid role

Job Functions:

The responsibilities of this position include, but are not limited to, the following functions in the Architecture & Engineering organization:

Utilize technical skills and tools to coordinate, maintain, enhance, and deploy cloud-based solutions while following corporate standards and best practices
Work within a DevOps team to meet project objectives in a timely fashion
Update project status reports (progress/risks/issues/roadblocks) as required by Senior Management
Use DevOps methodology and toolsets to implement and support solutions in AWS, Azure, and GCP
Implement proposed solutions to ensure the delivery of a quality product or service
Ensure cloud resources meet UMG’s operational requirements and are in compliance with UMG infrastructure and security standards
Provide documentation and communication to peers and other IT Teams for status, coordination, objectives, and performance
Oversee vendors work efforts on implementations
Compile and remediate vulnerabilities identified by the securities team
Assess and troubleshoot, consult with vendors, and coordinate with other teams for problem resolution
Ensure high work standards regarding incident and change management tasks
Other tasks as deemed necessary or appropriate

Job Requirements:

Skills/Abilities:

Proven experience with Amazon AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent)
Proficient usage and management of Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, and more)
Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github / SVN/Bitbucket) for code branching and merging
Accomplished with DevOps Implement, manage, and use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex)
Follow deployment practices using CICD Processes and Technologies (Jenkins, TeamCity, Tekton, Spinnaker, Octopus, CodeDeploy, Automate)
Clear understanding that implementation of security principles and tools is not “optional”
Understanding of Modern Auth (OIDC, SSO, SAML, Federation)
Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more)
Build and support solutions using both serverless and server-based infrastructure in AWS, Azure, and GCP cloud environments
Proficiency with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, Lambda at Edge)
Solid understanding of key cloud design concepts such as “High Availability” (HA), “Elastic Load Balancing” (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling
Detailed knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda
Detailed knowledge and demonstrated experience with key GCP specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions
Depth of knowledge of VPC, Cloud Networking, Hybrid Cloud, and IAM constructs in AWS, Azure, and GCP

Experience:

5 years minimum Experience in delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams.
Extensive experience in technical server and Enterprise storage management
Practical (hands-on) Experience with all 3 leading cloud providers (AWS, Azure, GCP)
Practical (hands-on) Experience with UMG primary DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack)
Practical (hands-on) Experience with UMG primary serverless technologies (k8s, GKE, EKS, Lambda, RDS)
Practical (hands-on) experience with UMG primary VM technologies (EC2, Dedicated Instances, Compute Engine)
Practical (hands-on) experience using scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash)
Practical (hands-on) experience using AWS Linux, Ubuntu Linux, and SLES Linux
Practical (hands-on) experience using Windows
Practical (hands-on) experience using Kubernetes (K8s) and related toolsets (K8s, EKS, GKE, Grafana, Prometheus, Cortex)
Other tools: Dynatrace, Azure AD, Intune, SEP, Redlock, Prisma Cloud, SAP, GoAnywhere)

Network Security Architect | Hybrid |. - Houston, TX.

Mon, 01 Jun 2026 08:39:04 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Role Overview

We are seeking an experienced Network Security Architect to design, implement, and manage enterprise-level security solutions. The ideal candidate will have deep expertise in network security technologies, including firewalls, load balancers, and secure architecture design, with hands-on experience in Palo Alto, Fortinet/FortiGate, Check Point, and F5.

Key Responsibilities

Design and implement secure network architectures across enterprise environments
Lead deployment and configuration of security solutions including firewalls and load balancers
Work with cross-functional teams to define security requirements and best practices
Perform risk assessments, vulnerability analysis, and security audits
Develop and maintain network security policies, standards, and procedures
Troubleshoot complex network and security issues
Ensure compliance with organizational and regulatory security standards
Provide guidance and mentorship to network/security engineers

Required Skills & Experience

Strong experience in network security architecture and design
Hands-on experience with:
- Palo Alto Firewalls
- Fortinet / FortiGate
- Check Point Firewalls
- F5 Load Balancers (LTM, GTM)
Deep understanding of routing and switching (BGP, OSPF, VLANs, etc.)
Experience with VPNs, IDS/IPS, NAT, and Zero Trust architecture
Knowledge of cloud security (AWS, Azure, or GCP) is a plus
Familiarity with security frameworks and compliance standards
Strong troubleshooting and analytical skills

Sr. Network Security Engineer | Hybrid role | - Houston, TX.

Mon, 01 Jun 2026 08:34:59 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Sr. Network Security Engineer
Location: Spring, TX. Hybrid.
Type of Job: Contract.

Qualifications:

Mandatory Skills: Checkpoint, Fortinet, Palo Alto

· A bachelor’s degree from an accredited institution

8+ years’ experience mid-large global enterprise networking infrastructure
Extensive experience with PAN Palo Alto Networks, Juniper or Fortinet firewalls
Experience managing on-prem and cloud firewalls and utilizing security best practices
Experience with firewall management tools and technologies such as, Panorama, Firemon, Prisma access, IPSec, Global Protect VPN
Experience with monitoring and visibility platforms Splunk, NetBox, Kentik and Grafana, Protocol Analyzer, SNMP, IPAM, RADIUS, network taps, and load/stress testing tools
Experience with other networking vendors and technologies is a plus; Arista, Juniper, switching & routing, spanning-tree, OSPF, BGP, TCP/IP, DHCP, DNS, end to end QOS, VRRP, LACP, MLAG, ACLs.
Experience with automation to generate and push config at wide scale and collect performance metrics
PCNSE, CWNA/CWSP, JNCIP preferred
Experience troubleshooting and resolving complex technical issues
Troubleshoot end to end security issue åçaffecting networks using command line tools
Work closely with team members to effectively enhance, implement, and configure network security technologies that are scalable and enhance detection and response.
Strong professional and interpersonal skills with the eagerness to work collaboratively with others.
Incorporate lessons learned from incident investigations to improve monitoring, alerting, and automation capabilities.
Prefer PCNSE (Palo Alto), CCNP - DC, Routing, Switching,

Network Architect | Hybrid |. - Houston, TX.

Mon, 01 Jun 2026 08:34:19 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Network Architect
Location: Spring, TX. Hybrid.
Contract Role.

Essential Responsibilities

Work closely with business management to resolve business process and productivity needs and an appropriate technology strategy to support business goals.
Analyze technical needs, requirements, and state of the network’s infrastructure design, integration, and operations.
Work with technical management to architect networks that effectively reflect business needs, service-level and availability requirements, and other technology parameters.
Develop design principles, models, plans, internal standards, budgets, and processes based on industry best practices.
Establish governing principles for network design and deployment.
Participate in selection of networking technologies and products for implementation
Must have strong communication skills, presentation skills, ownership acumen, and be able to deconstruct complex problems and projects into execution detail
Lead teams of other network designers and engineers in developing detailed designs and quality-control mechanisms during implementation.
Continually update understanding of business and technology status and objectives and respond to strategic design requests as the business evolves.
In-depth understanding of business strategy and ability to communicate effectively effectively with senior business leaders and C-level executives.

Required Skills

Expert knowledge and experience configuring and operating Cisco, Juniper, Brocade and Arista switches and routers. CCIE, CCNP and Juniper certifications preferred
Expert in Carrier technologies including but not limited to: BGP, VRF Lite, ISIS, MPLS, BFD, CCC, GRE and RSVP
Expert in Routing Protocols including but not limited to: IBGP, OSPF, VRRP, VARP, HSRP, and PBR
Expert in administering firewall policies on multiple platforms: Palo Alto, Juniper, Cisco & Fortinet
Experience with configuration, installation, troubleshooting, and supporting network equipment, wireless access points, firewall policies across different platforms
Detailed oriented and organized
Excellent client relationship skills
Excellent documentation skills using Microsoft Office and Visio
Excellent verbal and written communication skills
Ability to work early mornings and/or late nights to execute critical network changes
Ability to travel
Ability to learn new and unfamiliar technologies and products, independently using documentation and online resources
Works well in a fast pace environment with tight timelines for deliverable's
CCIE Certification is preferred.

ServiceNow Architect | W2 Only | Remote - Chicago, IL

Fri, 29 May 2026 08:43:25 GMT

Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.

Job Duties:

Make presentations to customers and prospects outlining technical solutions to stated business challenges and/or goals.
Serve as a technical leader on major projects and to more junior members of the team.
Provide thought leadership in ServiceNow to the team and customers/prospects.
Ability and desire to roll up sleeves and write code if project success requires it.
Respond to requests for proposal and proposal/SOW preparation, including development of project implementation plans, cost estimates and resource plans.
Assume the role of technical lead on large or small ServiceNow projects, ensuring high quality delivery and customer satisfaction.
Develop internal lab/demo environment architecture.
Develop trusted relationships with project team members, customers and prospects.
Analyze customers business and functional requirements and develop cost effective, creative ServiceNow technical solutions to fulfill requirements.
Participate in evaluation of new ServiceNow releases and functionality.
Billable ~50% minimum.
Maintain certifications and learn new skills to increase the amount of projects assigned.
Other duties as needed.

Desired Skills & Experience:

5+ years’ experience architecting, selling and implementing technical solutions involving ServiceNow.
BS/BA degree in Engineering or Computer Science or equivalent experience.
In-depth technical knowledge of ServiceNow modules, including ITSM, ITOM, ITAM, Integration Hub, HRSD SPM and Creator Workflow is required. Technical knowledge of SecOps and IRM is desired but not required.
Ability to articulate how technical solutions can solve business problems with ServiceNow.
Demonstrated capability as technical project manager, technical lead, and solutions architect with ability to provide technical and thought leadership to ServiceNow projects and prospective projects.
Strong influencing, communication and presentation skills with ability to represent complex solutions in a straightforward and easily understood way.
Strong interpersonal and leadership skills with ability to establish credibility with customers, stakeholders, staff and prospects.
Some travel may be required.
Demonstrated success as an implementer in an externally facing consulting environment.
Ability to package, price, and scale service offerings
Executive presence with the ability to influence senior stakeholders internally and externally
Comfortable leading through growth, change, and operational transformation
Ability to package, price, and scale service offerings
Experience implementing scalable processes and KPIs
Strong focus on delivery quality, customer satisfaction, and risk management
Strategic thinker with hands-on execution capability
Data-driven decision maker
Calm, decisive, and solution-oriented under pressure

Platform Engineer | Remote | W2 Only (No Opt's Please) | - Chicago, IL

Mon, 18 May 2026 16:22:51 GMT

Job Description:
Science Vault is currently a working but mostly manual data publishing workflow for research/scientific computing data. It publishes data from ASC/PCluster environments into an S3-backed, read-only storage model with metadata capture, access through sciencevault.amgen.com, and controls tied to Okta, AD groups, and S3 permissions.
The immediate need is someone who can own the closing engineering work: stabilize the workflow, reduce manual steps, improve usability, and help make it supportable for broader Research use.
Core skills needed:
Strong Python scripting and CLI development
AWS S3 experience, including bucket structure, versioning, permissions, and access patterns
IAM/security awareness, ideally with Okta, AD groups, or enterprise auth integration
Linux/HPC environment familiarity, especially working from shared filesystems or cluster environments
Ability to work with metadata capture, validation, and structured data manifests
Practical debugging, logging, packaging, and operational hardening experience
Helpful additional skills:
Web app or lightweight portal development for self-service publishing/access
Familiarity with data cataloguing, FAIR metadata, MMDS, or scientific data management
Experience building supportable internal tools with documentation and handoff materials
Comfort working with scientists/research users to convert rough workflows into usable products

AI Engineer (Generative AI & Copilots) | On-site | W2 Only | - Pittsburgh, PA

Wed, 13 May 2026 08:12:51 GMT

We are seeking a highly skilled AI Engineer with hands-on experience in Generative AI technologies, AI copilots, and advanced engineering methodologies including Forward Engineering and Reverse/Regression Engineering. The ideal candidate will have strong expertise in building intelligent AI-driven solutions using modern LLM platforms such as Claude and Gemini, along with experience integrating AI capabilities into enterprise applications and workflows.

AI Engineer | Remote | W2 Only | - Chicago, IL

Thu, 07 May 2026 09:56:02 GMT

We’re looking for an experienced software engineer with strong Python expertise who is passionate about AI and building scalable enterprise solutions. This role requires a strong engineering foundation, understanding of SDLC, and the ability to apply AI technologies to solve real-world healthcare challenges. The ideal candidate combines software engineering, cloud, and AI capabilities with a solution-oriented and architecture-driven mindset.

Experience
10+ years of software engineering experience
5+ years of hands-on experience working with AI/ML or Generative AI technologies
Experience within healthcare, payer, provider, or regulated enterprise environments preferred

Required Skills
Strong Python development experience
Experience with Django preferred
Hands-on experience with AI/ML and Generative AI technologies
Understanding of LLMs, prompt engineering, RAG, and AI integration patterns
Experience building scalable APIs, microservices, and enterprise applications
Cloud platform experience (AWS or Azure)
Experience scaling POCs into enterprise-grade production solutions
Strong understanding of SDLC, software engineering best practices, and system design
Experience with containers, CI/CD, and DevOps practices
MCP experience is a plus

What We’re Looking For
Strong engineering-first mindset
Ability to translate business problems into scalable AI-enabled solutions
Solution architecture and systems thinking capability
Passion for transforming healthcare and software development through AI innovation

DB Architect | India Req | Remote | - Hyderabad, TG

Thu, 07 May 2026 07:58:19 GMT

1.⁠ ⁠must have DB migration experience in replatform space, e.g oracle to Postgress or MSSQL to Prostgres etc
2.⁠ ⁠⁠must have architecting experience in DB migration strategy and approach and lead the DB team consist of DBA, DB Developer in optimsing the DB performance, such as indexing, partitioning etc and transform the existing sqlview and sp from source platform to target platform
3.⁠ ⁠⁠skillset must have to Postgres RDS in AWS and AWS DMS as migration tools for both one time full load and incremental CDC loading
4. can be based in india
5. ot much of DB2, DB2 knowledge is good to have..if the candidate has oracle DB experience is also fine
6. best case is DB2 experience + Postgress RDS exprience

Senior AI Engineer – Azure (Enterprise AI & Secure Systems) | W2 Only (No OPT's please) | - Chicago, IL

Thu, 23 Apr 2026 10:38:38 GMT

We are seeking a highly skilled AI Engineer with deep expertise in Microsoft Azure AI ecosystem, who has hands-on experience collaborating with Infrastructure and Information Security (InfoSec) teams. The ideal candidate will drive the design, development, and deployment of secure, scalable AI-powered applications and intelligent widgets across enterprise environments.
Key Responsibilities
Design, develop, and deploy AI/ML solutions using Azure services such as Azure OpenAI, Azure ML, Cognitive Services, and AI Studio.
Build and integrate AI-powered applications, copilots, and widgets into enterprise platforms.
Collaborate closely with Infrastructure teams to ensure scalability, performance, and cloud optimization.
Partner with InfoSec teams to ensure AI solutions comply with security, governance, and regulatory standards.
Implement secure AI architectures, including data protection, identity management, and access controls.
Develop APIs and microservices for AI model integration into business applications.
Optimize model performance, cost, and latency in production environments.
Establish MLOps pipelines for continuous integration, deployment, monitoring, and retraining of models.
Ensure responsible AI practices including data privacy, bias mitigation, and auditability.
Provide technical leadership and mentor junior engineers.
Required Skills & Qualifications
Strong experience with Microsoft Azure AI stack (Azure OpenAI, Azure ML, Cognitive Services).
Proficiency in Python and frameworks like FastAPI, Flask, or similar.
Experience in building LLM-based applications, prompt engineering, and RAG architectures.
Hands-on experience working with Infrastructure teams (cloud architecture, networking, containers, Kubernetes).
Strong exposure to InfoSec practices (IAM, encryption, secure coding, compliance frameworks).
Experience with API development, microservices, and distributed systems.
Familiarity with DevOps/MLOps tools (CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps).
Solid understanding of data engineering concepts and databases (SQL/NoSQL).
Preferred Qualifications
Experience with enterprise AI adoption and governance frameworks.
Knowledge of Zero Trust Architecture and cloud security best practices.
Exposure to multi-cloud or hybrid cloud environments.
Experience building chatbots, copilots, or AI-driven UI widgets.

Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE | - Chicago, IL

Thu, 26 Mar 2026 18:07:43 GMT

Role Overview
We are seeking an experienced AI-focused Software Engineer to design, build, and scale intelligent applications powered by modern AI and large language models. This is not a Data Scientist role—we are looking for a strong software engineering professional with deep expertise in building production-grade AI systems, APIs, and distributed architectures.

Key Responsibilities

Design and develop Python-based APIs for AI-powered applications and services
Build and orchestrate agentic workflows using modern frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or LlamaIndex
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines
Develop scalable AI systems leveraging machine learning and deep learning frameworks
Integrate and manage vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and memory
Architect and deploy applications across cloud platforms (AWS, GCP, Azure)
Apply domain-driven design (DDD) principles and build microservices architectures
Ensure code quality through strong use of object-oriented programming principles (inheritance, polymorphism) and proven design patterns
Collaborate cross-functionally to deliver robust, production-ready AI solutions

Required Qualifications

Strong experience in Python software development
Hands-on experience with LLM frameworks and orchestration tools (LangChain, LangGraph, AutoGen, etc.)
Solid understanding of RAG architectures and vector search systems
Experience working with machine learning frameworks such as TensorFlow or PyTorch
Proficiency in building and consuming RESTful APIs
Experience with cloud infrastructure (AWS, GCP, or Azure)
Strong knowledge of microservices architecture and domain-driven design
Deep understanding of object-oriented programming concepts and software design patterns

Preferred Qualifications

Experience building agent-based or autonomous AI systems
Familiarity with real-time AI applications and streaming architectures
Experience optimizing AI systems for performance and scalability
Exposure to MLOps practices and deployment pipelines

What Success Looks Like

You deliver scalable, production-grade AI systems, not prototypes
You can design complex agentic workflows that solve real business problems
You write clean, maintainable, and well-architected code
You bridge the gap between AI capabilities and software engineering excellence