Suno Api Jobs in Usa

Insight Global is seeking an O365 Engineer to support a government customer. In this role, you will manage and optimize the organization's Microsoft 365 environment, overseeing core services such as Exchange Online, SharePoint, Teams, OneDrive, licensing, and security configurations. The day to day will involve administering Azure Active Directory, maintaining identity and access controls, and enforcing conditional access policies. They will be responsible for eDiscovery. They will also build and maintain solutions using the Power Platform, automate administrative tasks with PowerShell, and manage devices and application deployments through Intune. Overall, they will serve as a technical owner of the M365 ecosystem, driving reliability, security, and efficiency across the enterprise.

Must Haves:

• Bachelors and 6 years of experience or Master's and 4 years of experience.
• Advanced expertise in Microsoft 365 administration (Exchange Online, SharePoint, Teams, OneDrive, licensing, security, compliance, and service health).
• Strong identity management skills, including Azure AD, SSO, directory sync, MFA, and conditional access.
• Hands‐on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents).
• PowerShell automation skills for O365 administration, provisioning, configuration, and Graph API integration.
• Experience managing and securing devices with Intune, including policy enforcement and application deployment.
• Experience with ediscovery
• Knowledge of Unified communications as it pertains to MS Teams

LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. Candidates must live in one of the following states, and be prepared to pass a background check/identity verification process: WA, OR, ID, OH, SC, NC, TX, or FL

LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms.

Salary & Benefits:

• $150k to $185k annually (depending on location & experience)
• Medical, dental, and vision insurance
• 401(k) plan with employer match
• Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year.
• PTO included Four (4) personal days are granted immediately upon hire.
• Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year.
• Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status).
• Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community.
• Life and disability insurance

Minimum Qualifications:

• Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience).
• 6+ years experience in ETL pipelines, SQL Server, and production data workflows.
• 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics.
• 3+ years applying ML algorithms and transforming data science prototypes into production.
• 5+ years experience with CI/CD workflows for ML models and related code.
• Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques.
• Familiarity with agile methodologies (e.g., Scrum).

Responsibilities:

• Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML.
• Serve as Databricks Architect, managing workspace design, deployment, and governance across environments.
• Define and implement Databricks Lakehouse architecture and governance best practices.
• Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow.
• Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management.
• Set up and configure Azure and Databricks infrastructure for AI/ML workloads.
• Review ML model code and analytics scripts for quality and performance.
• Design and build data pipelines and cloud services for monitoring, analysis, and reporting.
• Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data.
• Provide production support and performance tuning for data engineering workflows.
• Optimize complex SQL queries and stored procedures for data processing and business logic.
• Collaborate with cross-functional teams to ensure data quality and support business decision-making.
• Scale and deploy machine learning models to handle large-scale data.
• Feed raw data into models and build deployment pipelines for new models.
• Implement logging, observability, and performance monitoring for AI/ML systems.
• Conduct architecture reviews and performance testing.
• Perform other duties as assigned.

Preferred Qualifications:

• Master's degree in a related field.
• Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications.
• Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services.
• Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables.
• Strong math, problem-solving, and rapid learning skills.
• Excellent communication, organization, and independent work capabilities.
• Service-oriented mindset with ability to handle ambiguity and build strong relationships.

Equal Opportunity Employer/Veterans/Disabled

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Job Description

Must Have Technical/Functional Skills

• 5+ years of experience developing advanced robotic simulation platforms, integrating Robotics, AI, PLC logic and manufacturing systems.

• Proven experience building simulations with 40+ robots with software-in-the-loop

• Experience designing simulation scenario language/framework to enable developers and non-developers in modeling realistic factory conditions.

• Proven experience with different physics engines including Isaac Sim, Open3DE, Gazebo, Mujoco.

• Experience architecting and deploying simulations onto multi-GPU infrastructure for automated pipelines both on-premises and cloud-based

• Proven experience integrating robots through ROS 2, Fanuc/Roboguide, or similar interfaces, with >500 ROS nodes, and >5000 ROS topics.

• Experience creating discrete-event simulations for path planning optimizations

• Experience in creating co-simulations of discrete-events with continuous physics-based simulations

• Experience simulating multiple robots and sensors in real time, with realistic LiDAR cameras and physics behavior

• Experience with 3D model development creating high fidelity maps

• Experience creating useful simulation metrics and dashboards for reviewing simulation outputs

• Experience with developing simulation interface that integrates diverse APIs and data formats

• Experience with database design to handle users, static and dynamic assets, layout and route representations, and simulation sessions

Roles & Responsibilities

• Physics-based simulation of Autonomous Mobile Robots (AMRs) and Cobot cells

• Simulation-in-the loop testing of autonomy, perception, and control software

• Reusable abstractions of robot hardware, sensors and PLC simulation

• Scalable execution and orchestration of simulations for engineering validation, regression and scenario testing.

• Establishment of a reusable simulation capability delivered as an ongoing deep tech engineering service, aligned with GM ownership and long-term extensibility.

checks.

Base Salary Range : $100,000 to $130,000 Per Annum

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Overview

We are seeking a seasoned Analytics leader to build and lead our enterprise Analytics and Data Governance function in a modern group purchasing / procurement environment. This leader will turn our rich ecosystem of member, supplier, contract, and transaction data into a strategic asset that drives savings, compliance, growth, and differentiated insight for our members and suppliers.

This leader will also own the data governance operating model, enterprise metrics, and analytics roadmap that power member-facing insights, internal performance management, and AI use cases across the technology platform (Website, B2B eCommerce, supplier portal, sourcing tools, and partner integrations).

Key responsibilities

Data governance and policy

• Define and run the enterprise data governance framework covering member, supplier, contract, item, and transaction data domains.
• Establish data ownership and stewardship across functions (Category Management, Supplier Management, Finance, Sales, Marketing, Digital) driving clear accountabilities for data quality and definitions.
• Implement policies for responsible use of data in supplier programs, member reporting, and AI/ML models, ensuring compliance with contractual, regulatory, and privacy requirements.
• Drive data quality management (profiling, remediation, SLAs) for critical assets such as contract price files, item catalogs, rebate/accrual data, and member hierarchies.
• Oversee metadata, business glossary, and data lineage so teams can confidently understand "one source of truth" for core GPO metrics (e.g., committed vs. actual spend, penetration, compliance, savings delivered).

Analytics strategy and delivery

• Define the enterprise analytics vision and roadmap aligned to procurement value levers: spend visibility, category performance, contract compliance, leakage detection, rebate optimization, and supplier performance.
• Lead the design and delivery of standardized KPI suites and dashboards for executives, category teams, supplier partners, and member account teams (e.g., savings scorecards, compliance heatmaps, portfolio optimization).
• Partner with Product and Engineering to ensure the data platform (warehouse, semantic layer, BI tools) can support self-service analytics, embedded insights in member/supplier portals, and AI-driven use cases.
• Champion enterprise metrics and advanced analytics capabilities such as, forecasting, benchmarking, opportunity sizing, and integrity analytics, ensuring models are traceable, governed, and auditable.
• Translate business needs into clear data products (curated data sets, subject-area marts, APIs) that serve both internal teams and external-facing solutions.

Stakeholder leadership and collaboration

• Serve as the enterprise "single point of accountability" for data and analytics, aligning priorities across Technology, Category Management, Supplier Relations, Sales, Finance, and Operations.
• Partner with Supplier and Member-facing teams to co-create analytics offerings that differentiate the GPO (e.g., supplier growth playbooks, member CFO dashboards, public-sector transparency packs).
• Educate executives and business leaders on data literacy, standard metrics, and how to use insights in planning, negotiations, and supplier programs.
• Collaborate closely with Security, Legal, and Compliance to ensure that member and supplier data is used ethically and in line with contracts and regulations.

Team building and operations

• Build and lead a high-performing team of data analysts, analytics engineers, data governance managers, and data stewards.
• Define operating rhythms (data council, data domain forums, metric review cadences) that keep governance and analytics tightly connected to business outcomes.
• Establish and track KPIs for the data function itself (data quality scores, adoption of governed datasets, BI usage, time-to-insight).
• Select and manage key tools and vendors in the analytics and governance ecosystem (warehouse, BI, catalog/governance, quality monitoring).

Qualifications

• Bachelor's or Master's degree in Data/Computer Science, Information Systems, Analytics, Statistics, Business, or related field.
• 10+ years of experience in analytics, data governance, or enterprise data management, including 3–5+ years leading teams.
• Proven experience in a procurement, supply chain, GPO, distribution, or B2B marketplace environment strongly preferred.
• Demonstrated success implementing data governance frameworks and delivering analytics that directly influenced commercial or procurement outcomes (e.g., savings, compliance, supplier growth).
• Hands-on familiarity with modern data platforms (e.g., Snowflake/BigQuery/Redshift, dbt, Power BI/Tableau/Looker, and one or more data catalog/governance tools).
• Strong grasp of regulatory / contractual considerations relevant to member and supplier data (data sharing agreements, use of benchmarking, privacy/security standards).
• Excellent leadership, storytelling, and stakeholder management skills; able to influence at C-suite and board levels.

Attributes for success

• Business-first mindset: instinctively ties data work to member value, supplier value, and financial impact.
• Pragmatic operator: balances governance rigor with speed, enabling innovation rather than blocking it.
• Skilled translator: can convert complex data and AI topics into clear narratives for executives, sales, and category leaders.
• Culture builder: passionate about creating a data-driven culture that values standard definitions, trusted data, and measurable outcomes.

Compensation:

$150,000 to $200,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role include: Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Job Role: Lead Software Engineer - AI Application Platform

Location: Charlotte, NC (Onsite)

Eligibility: USC/GC/H4-EAD only

Pay Rate: $90/hr. on W2

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of AppGen, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems

• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment

• Can present architecture clearly to executives and confidently explain both what we're building and why it matters

• Finds more energy in the code your team ships than in the code you write individually

• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

If that describes you, we'd like to talk.

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?

• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?

• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.

• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.

What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.

• Deep technical review: Catch issues thoughtful code review can surface:

o RxJS Observable lifecycle and potential memory patterns in Angular

o Query efficiency and data loading patterns in SQLAlchemy

o Terraform module organization and state management implications

o Type safety and TypeScript coverage gaps

o AWS security and IAM configurations

• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.

• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.

What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.

• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.

• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.

• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.

What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"

• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.

• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)

• Strong TypeScript skills with generics, discriminated unions, and strict mode

• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews

• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications

• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions

• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)

• FastAPI production experience: session management, dependency injection, middleware

• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically

• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking

• REST API design: Versioning, error handling, idempotency

• Testing frameworks: pytest, testing st

Job Title: CMDB Engineer (ServiceNow)

Location: Detroit or Charlotte

Long-Term Contract

Pay Range: $40-$45/hr

Key Responsibilities

• • Design and maintain CMDB data models, CI classes, and relationships aligned with ServiceNow CSDM standards.
• • Implement and manage ServiceNow Discovery, Service Mapping, and integrations to ensure accurate population of configuration items.
• • Configure and maintain Identification and Reconciliation Engine (IRE) rules to ensure CI uniqueness and prevent duplicates.
• • Monitor and improve CMDB data quality including completeness, accuracy, and relationship integrity.
• • Build and maintain service maps linking applications, infrastructure, and supporting components.
• • Develop automation and workflows to keep configuration items updated throughout their lifecycle (provisioning, change, decommissioning).
• • Integrate CMDB with external data sources such as cloud platforms, endpoint tools, and asset systems.
• • Partner with architecture, infrastructure, and application teams to onboard services and establish ownership of configuration data.
• • Create dashboards and reports to track CMDB health, CI coverage, and service mapping progress.

Preferred Qualifications

• • 3–6 years' experience working with ServiceNow CMDB or ITOM.
• • Experience with Discovery, Service Mapping, and CSDM frameworks.
• • Strong understanding of infrastructure components (servers, networks, cloud, applications).
• • Experience with API integrations, data ingestion, and automation in ServiceNow.
• • Ability to troubleshoot data quality issues and CI identification conflicts.

What This Role Will Focus On

• • Improved CMDB data accuracy and governance
• • Reliable service dependency mapping
• • Strong foundation for incident, change, and automation capabilities

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Overview:

The U.S. is in a Cold War-like "space race" to lead in physical AI and our supply chain needs urgent transformation to scale manufacturing of electronics for robotics. This transformation will determine if the U.S. can preserve its role as the world's largest and most innovative economy, reestablish deterrence superiority, and, if confronted, prevail against its most capable adversary since WWII.

AIC is hiring an engineer to be part of the founding technical team. In this role you will have a high degree of ownership and execution. We run towards complexity, not from it. The ideal engineer will have a background in dealing with data models while building complex solutions. They will work in both the digital and physical landscape of AI, helping build both an important and enduring company.

What you'll do:

• Working with the Tech Staff Lead to design system architecture
• Designing and implementing APIs
• Own feature development for module
• Work cross functionally with business side counterparts such as Engagement Managers and Manufacturing Ops Expert

What you have:

• 2+ years of full stack experience (Python, Typescript, or Go) building production ready applications and solutions
• Experience with complex data models processing a mixed volume of data
• Expertise with database concepts and schemas
• Able to communicate effectively and cross functionally to non technical members
• Bachelors degree in relevant field

Nice to have:

• Experience with inventory management systems, particularly in the manufacturing space
• Experience working with hardware integrations in a shop floor environment
• Building forecasting models with time series data

Terms of Employment

• Full-Time, Permanent
• This position requires an Active TS/SCI.
• This position is onsite at Arlington, VA

Overview & Responsibilities

Join our client as a Senior Systems Architect & Integration Engineer supporting the Department of Defense (DoD) and Air Force at the heart of national security. In this long-term role, you won't just maintain systems – you will bridge the gap between complex Intelligence, Surveillance, and Reconnaissance (ISR) data and the warfighter. You will design, integrate, and secure the next generation of targeting and collection management solutions using modern DevSecOps and cloud-native architectures.

You will...

• Lead the high-level solution architecture for complex ISR and Targeting systems, ensuring they are scalable, resilient, and aligned with Air Force mission objectives.
• Design and implement robust, secure API-based integrations to connect disparate DoD data sources, ensuring seamless interoperability across the enterprise.
• Architect and manage diverse data environments, utilizing both RDBMS and Polyglot (NoSQL) database solutions to handle high-velocity mission data.
• Oversee the deployment and orchestration of containerized applications using Kubernetes, ensuring a secure and automated CI/CD pipeline from development to production.
• Proactively identify and remediate vulnerabilities using tools like Fortify; ensure all solutions meet rigorous DoD cybersecurity standards and Risk Management Framework (RMF) requirements.
• Apply Design Thinking and agile methodologies to lead technical workstreams, translate mission requirements into engineering specifications, and mentor junior staff.
• Identify opportunities to leverage AI/ML (including Gemini and LLMs) to automate collection management and enhance decision-making for ISR analysts.

Required Qualifications

• Must have an active TS/SCI clearance.
• 10+ years of post-degree, paid professional engineering experience (excluding internships).
• Bachelor's degree in Engineering, Computer Science, Math, Physics, or Chemistry.
• Expertise in Object-Oriented Design (OOD) and System Integration.
• Hands-on experience with Kubernetes and DevSecOps workflows.
• Deep knowledge of SQL and at least one NoSQL database platform (i.e. MongoDB Enterprise, Couchbase Server, MarkLogic, Apache Cassandra / DataStax, Apache HBase, ScyllaDB, Redis, Amazon DynamoDB, Amazon Neptune, Neo4j, Elasticsearch (ELK Stack), ArangoDB).
• Proficiency in Microsoft Office Suite for technical reporting and briefings.

Preferred Qualifications

• Prior experience in the US Armed Forces (any rank/branch).
• Specific domain knowledge in ISR (Intelligence, Surveillance, and Reconnaissance), Targeting, or Collection Management.
• Familiarity with Cyber Scan tools like Fortify.

We are seeking a hands-on Senior VMware Horizon (Omnissa) and vSphere Engineer. This person will be tasked with operating, maintaining, and enhancing VDI and core VMware compute infrastructure.

This is an initial 9-month contract with the potential to extend, eligible for full benefits. Hybrid role requiring 3-days onsite every week in Sacramento, CA. Local candidates only.

Key Responsibilities

• Administer and operate VMware Horizon (Omnissa): connection servers, UAG, Horizon Agent, pool/image lifecycle, session troubleshooting.
• Design, implement, maintain and upgrade VMware vSphere (ESXi, vCenter, clusters, DRS, HA, vMotion).
• Lead Horizon-related tasks: image/template management, instant/linked clones, FSLogix/profile integration, performance tuning.
• Migrate, validate and manage VDI backups and DR procedures; perform recovery tests.
• Implement platform hardening, access controls, logging/monitoring, and patching.
• Automate routine ops with PowerCLI/PowerShell or scripting; use APIs where applicable.
• Monitor capacity and performance; recommend and implement optimizations.
• Create and maintain runbooks, configuration docs, and knowledge-transfer materials.
• Collaborate with storage, networking, desktop, application and security teams; participate in scheduled maintenance windows and occasional off-hours support.
• Provide regular status updates and technical recommendations to stakeholders.

Required Qualifications

• 5-8+ years administering VMware vSphere (ESXi, vCenter) in enterprise environments.
• 3+ years hands on with VMware Horizon (Omnissa preferred): pool management, connection servers, UAG, Horizon Agent.
• Strong knowledge of vSphere features: clusters, DRS, HA, vMotion, Host Profiles, storage policies.
• Experience with Horizon image lifecycle, instant/linked clones, and profile management (FSLogix or equivalent).
• Scripting/automation skills: PowerCLI/PowerShell required.
• Proven troubleshooting of VDI session/connectivity and platform performance issues.
• Familiar with backup/restore and DR for virtual environments.
• Networking fundamentals for VDI (load balancing, NAT, DNS, firewall rules).
• Strong documentation and communication skills; ability to work onsite with cross-functional teams.

Preferred Qualifications

• Direct Omnissa (VMware Horizon distribution) experience.
• VMware certifications (VCP-DCV, VCAP, Horizon certs).
• Experience with identity integrations (AD/LDAP), load balancers, SSL/TLS cert management.
• Familiarity with government/state IT processes and compliance.

Deliverables

• Operational runbooks and documentation.
• Monthly capacity/performance reports and remediation recommendations.
• Completed maintenance, upgrade, and project tasks per schedule.
• Knowledge transfer and handover at contract completion.

!!ONSITE 3 DAYS A WEEK!!

Job Description

Senior Network Security Engineer

The Role

As a Senior Network Security Engineer, you will play a critical role in designing, implementing, and optimizing a hyperscale network security infrastructure.

As a technical leader, you will oversee complex security architecture initiatives, mentor peer engineers, act as an escalation point for incident response, and ensure alignment with modern security standards. The technology roadmap is heavily focused on automation, so experience with — and interest in — leveraging automation is essential.

Key Responsibilities

• Mentor junior and mid-level engineers, providing guidance on complex troubleshooting and architectural decisions
• Design, implement, and manage advanced network security solutions including firewalls, proxies, system hardening, threat profiling, and segmentation strategies to protect sensitive data
• Act as a lead escalation point for critical security incidents and response efforts
• Develop and maintain automation playbooks, network security policy frameworks, threat models, and root cause analyses with corrective actions
• Oversee vulnerability assessments, penetration testing coordination, and remediation planning
• Champion the use of automated tools for infrastructure build, day-two operations, and lifecycle management using technologies such as Python, Terraform, and vendor APIs
• Leverage platforms and tools including Algosec, Tufin, Jenkins, and Git
• Collaborate closely with infrastructure, DevOps, and application teams to embed security best practices across the technology stack

Required Skills & Experience

• Extensive experience in network engineering and network security engineering, including architectural design across trusted, untrusted, and DMZ environments
• Proven leadership experience in a senior or lead engineering role, with the ability to both guide teams and operate independently
• Strong understanding of network protocols and the OSI model, with hands-on experience in TCP/UDP-based applications, routing, switching, and load balancing
• Deep expertise in network security technologies, including firewalls, VPNs, proxies, MACsec, IPsec, HTTPS, certificate chains, DNS, NTP, AAA, and domain-based authentication and authorization
• Experience working with multiple security vendors such as Palo Alto, Fortinet, Check Point, and F5
• Strong understanding of Zero Trust principles, segmentation strategies, and secure cloud networking in AWS and/or Azure
• Experience with scripting and automation tools such as Python, Ansible, or Terraform
• Relevant certifications (CISSP, CCIE Security, GIAC, Palo Alto, Fortinet, or equivalent) are highly preferred

Nice-to-Have Experience

• Core network experience with VXLAN EVPN data center architectures
• Experience supporting hybrid or multi-cloud environments
• Prior involvement in M&A technical integrations
• Experience building or supporting SOC capabilities or working with MSSPs
• Strong written and verbal communication skills
• Firewall automation experience

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