Principal engineer jobs in Victoria, TX

Job Details: Principal Full Stack Engineer Mode :: W2 Only (No C2C/1099) Top Skills: Hands on with Angular (expert level) application architecture fundamentals is a must. Role Overview: As a Principal Full Stack Engineer, you will play a pivotal role in building new application experiences and business capabilities to support a new business initiative. You will work closely with the Director of Engineering and multi-functional teams, driving technical decisions and ensuring the delivery of scalable, maintainable solutions. Key Responsibilities: Lead the design and development of modular, reusable front-end components in Angular, enabling sharing across multiple product teams. Expert level knowledge using Angular to build a single page application from scratch. Bonus points for experience with Storybook JS, React Native, Ionic and knowledge of micro-frontends architecture. Architect and implement robust back-end services using Java Spring Boot, JPA, and AWS, with a focus on scalable, secure, and maintainable solutions. Build and maintain the business API Domain model Champion standard methodologies in modular application design, including micro-frontends, shared libraries, and integration patterns. Collaborate with product, UX, and engineering teams to translate business requirements into technical solutions. Drive the adoption of modern CI/CD pipelines and DevOps practices for rapid, reliable delivery. Mentor and guide other engineers, fostering a culture of technical perfection and continuous improvement. Required Skills & Experience: 10+ years of professional software engineering experience, with a proven track record of delivering complex applications. 3 - 5 years of technical leadership experience Deep full-stack expertise in HTML, CSS, JavaScript, Angular, Java Spring Boot, JPA, AWS, and databases systems. Strong understanding of modular architecture, component sharing, and scalable design principles. Experience building and integrating RESTful APIs and working with cloud-native technologies. High degree of autonomy and ownership; able to drive projects forward with minimal oversight. Superb communication and collaboration skills, with the ability to influence and align stakeholders. Bonus Points: Experience with micro-frontends, Storybook JS, and API management tools. Prior work in a startup or incubator environment, building products from the ground up.

We are seeking a visionary and technically accomplished Principal Software Engineer to lead the design and development of scalable software solutions that power our core operations. This role demands deep expertise in cloud platforms, database architecture, and fullstack development, along with a proven ability to mentor teams and drive strategic technical initiatives. Key Responsibilities Architect and lead the development of robust, scalable software applications across the full stack. Drive technical strategy and decision-making in collaboration with engineering leadership and cross-functional stakeholders. Mentor and guide software engineers, fostering a culture of technical excellence, code quality, and continuous improvement. Optimize system performance and scalability through thoughtful design, profiling, and refactoring. Oversee database design and integration, including messaging systems and high-performance SQL query optimization. Lead cloud deployment strategies using AWS and Azure, ensuring reliability, security, and cost-efficiency. Champion DevOps practices, automation, and CI/CD pipelines to streamline development and deployment workflows. Identify and resolve complex technical issues, ensuring system resilience and maintainability. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred). 10+ years of software engineering experience, with a strong track record of technical leadership. Expertise in JavaScript tech stack (React, Node.js) and modern fullstack development. Advanced proficiency in SQL, database design, and performance tuning. Deep experience with cloud platforms (AWS, Azure) and distributed systems. Strong understanding of software architecture, design patterns, and system integration. Exceptional problem-solving skills, with a strategic mindset and attention to detail. Excellent communication and collaboration abilities across technical and non-technical teams. Demonstrated experience in mentoring, leading teams, and influencing engineering culture.

Senior Field Engineer - Dallas, TX (6-Month Contract) Contract Type: 6-Month Initial Contract - C2C or 1099 Clearance Requirement: US Citizens only We are partnering with a leading global IT consultancy to source an experienced Senior Field Engineer for a high-impact role based in Dallas, TX. This position offers an exciting opportunity to lead and execute infrastructure deployments across data center, enterprise, and retail environments for major clients. The contract is initially 6 months with strong potential for extension based on performance and project pipeline. Role Responsibilities Lead and deliver complex infrastructure deployment projects across various environments (data centers, enterprise, retail). Pull, terminate, and test Cat6/6a and fiber structured cabling systems. Rack and stack network equipment, manage patching, and decommission legacy devices. Deploy fully assembled racks, including all cross-connects and hardware installations. Install and validate Wireless Access Points with a high standard of cabling and dressing. Collaborate with local partners and internal engineers on multi-site or complex builds. Train and mentor junior field engineers and partner resources. Ensure adherence to customer and internal engineering standards on all sites. Deliver high-quality project documentation including redlines and as-built drawings. Utilize internal tools to validate project scope, BOM, and supply chain readiness. Identify opportunities for continuous improvement and future sales referral. Maintain a high level of professionalism and customer engagement at all times. Required Experience & Skills 5+ years in Field Engineering roles delivering infrastructure solutions for large enterprise environments. Deep expertise in physical infrastructure deployment: cabling, racking, network device installation. Strong troubleshooting capabilities in high-pressure, mission-critical environments. Ability to interpret and execute based on MOPs, Cable Run Lists, schematics, and patch plans. Skilled with copper/fiber testing tools (Fluke, OTDR, wire map, etc.). Comfortable with wireless survey tools (e.g., Ekahau, AirMagnet) and signal troubleshooting. Experience with basic configuration of network devices (CLI/GUI, firmware, logical config). Relevant certifications preferred: CNCI, BICSI, CCNA, CWNA or equivalent experience. Excellent communication, documentation, and stakeholder management skills. Proven self-starter with a proactive approach and strong attention to detail. Willingness to travel frequently to customer sites. Why Apply? High-impact, hands-on role with an internationally respected consultancy. Autonomy and leadership opportunity on major enterprise infrastructure projects. Competitive compensation on C2C or 1099 terms. Opportunity to expand your technical exposure across networking, storage, compute, wireless, and more. 📩 Interested? Apply now or reach out directly for more details on this urgent requirement. This is a fantastic opportunity to join a world-class consultancy delivery team on the cutting edge of infrastructure technology.

Direct Hire (No C2C or third-party submissions) Schedule: 2 days onsite weekly As a Senior IAM Engineer, you will design and implement solutions that address enterprise and cloud cyber risk requirements, with a primary focus on our SailPoint IdentityNow deployment. This role involves delivering SailPoint/IGA integrations with ServiceNow and connecting SailPoint to core systems such as Workday and Azure Active Directory. The ideal candidate will have deep expertise in SailPoint implementation and a strong development/engineering background-specifically in Java and object-oriented programming. Requirements: Proven experience integrating SailPoint IdentityNow with CyberArk, Azure AD, ServiceNow, and developing APIs for SailPoint functionalities. Strong proficiency with RESTful web services, SAML 2.0, SailPoint IdentityNow, OAuth, WS-Security, and other authentication/authorization protocols. Exceptional communication skills and a track record of collaborating effectively with clients and partners. Expert-level knowledge of IAM protocols, including SCIM, Web Services, WS-Fed, SAML, OpenID Connect, and OAuth. Bachelor's degree preferred, or a minimum of 7+ years of hands-on Identity & Access Management (IAM) deployment and engineering experience. Duties: Design and implement SailPoint IdentityNow or IdentityIQ (IIQ) solutions and access management frameworks to meet organizational requirements. Architect and deploy CyberArk solutions, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and Privileged Threat Analytics (PTA). Collaborate with application teams to identify, aggregate, and correlate application/system user accounts with identity cubes in SailPoint. Configure and develop SailPoint modules such as audit, compliance, lifecycle management, and service account management. Design, develop, test, and troubleshoot custom system/application connectors within SailPoint IdentityNow. Demonstrate product expertise in SailPoint IIQ, CyberArk, Microsoft Active Directory, relational databases (Oracle, SQL Server, MySQL, DB2), Java, BeanShell, REST APIs, and web services. Diagnose and resolve technical issues related to SailPoint and CyberArk platforms. Perform regular audits and reviews to ensure compliance with security policies and standards. Create and maintain documentation for processes, procedures, and system configurations. Mentor and train junior team members on best practices and technologies related to SailPoint and CyberArk.

On-Site Presence in: Plano TX Job Description & Skill Requirement: Excellent written and verbal English communications skills, with experience reporting project status to an internal and customer audience Understanding and working knowledge of 3GPP IMS, LTE, 5G Understanding of Location Based Server (LBS) and call flow Strong skills in the following area: Cloud technologies such as Hypervisor, KVM, OpenStack, Azure, AWS Docker, Kubernetes, Helm charts Script (shell or python) programming Call flow analysis using wireshark Database Knowledge in MySQL and Informix Well versed in Cloud technologies: 1. CBIS/CBAM 2. NCS (Containers) 3. Docker 4. Kubernetes Well versed in following technologies: 1. BM (Baremetal) 2. VNF (Virtual) 3. CNF (Container) Good understanding of: 1. Troubleshooting deployment issues and resolving 2. Scripting and automation 3. Call flows 4. Artifact generation Highly motivated High capacity to learn and adapt quickly.

Join the country's leading Cardiac PET provider! Cardiac Imaging Inc. (CII) is looking for talented and ambitious professionals to join our dynamic team and improve patient outcomes across the nation. Despite heart disease being the leading cause of death in the US, most physicians and patients do not have access to the leading technology in Cardiology. At CII, our mission is to create a more accessible healthcare system by enabling all physicians to treat their patients with the most advanced technology - all from the comfort of their own practice. Our innovative team drives this mission forward each and every day with our Mobile and Fixed Cardiac PET Solutions. As we continue to grow, we currently have a tremendous opportunity for a Senior Field Service Engineer who is up for the challenge. Summary: Responsible for providing installation, technical repair and service work in the field or at the hub for equipment and systems, including ensuring equipment in trailers does not interfere with the safety of operation of the trucks and trailers on roadways. Lead or assist with the installation and servicing of medical imaging equipment and provide assistance to Service Engineers, Technicians as well as Apprentices. Repair, replace or install parts and devices with expertise as required. Essential Functions: The following list of essential functions is not intended to be restrictive or all inclusive. The fact that certain duties may not be listed does not limit the assignment of additional and/or other duties. Independently complete full mobile unit load inspection to ensure secure road safety, including PET-CT and Uninterrupted Power Supply (UPS) secured to specifications, in addition to checking electrical system for fire hazards and safe operation, quarterly or at least bi-annually, or sooner if problems arise. Exercise discretion to identify whether repairs are needed and, if so, what repairs to make. Complete safety checklist of mobile unit inspection to identify any abnormalities, weekly for local units, or at least 5-6 times per year for remote units. Exercise discretion to identify whether repairs are needed and, if so, what repairs to make. Perform trouble shooting and field repairs. Provide phone support for customers and CII clinical staff regarding technical issues in a professional and friendly manner. Prepare/perform equipment Preventive Maintenance according to specification and documentation. Submit and fill out all required paperwork and service reports in a timely manner, no later than 48 hours. Preparing equipment for customer installation, including staging system and testing for functionality including Packing, for PET/CT system, PET system, CT system, elution system, computer, laptop, dose calibrator, blood pressure monitor, ECG system, and systems for image data transfer. Parts testing at hub locations. Leading installation and deinstalls as required. Support team members especially service technicians and service apprentices in their trouble shooting, training and guidance for field repairs or preventive maintenance. Find spare parts if needed or support Inventory specialist in parts acquisition. Conduct training classes for existing or new equipment service. Inspect and report irregularities, cleanliness, defects of CII assets, including mobile and fixed sites. Maintain tools and calibration requirements. Always adhere to safety procedures. Travel up to 80% of the time. Other related duties as assigned. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job Physical activity - talking, hearing, balancing, stooping, kneeling, crouching, reaching, standing, pushing, pulling, lifting, grasping, and fingering. Medium work - exerting up to 50 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. Visual Acuity - The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. The worker is required to have visual acuity to perform an activity such as: operates machines where the seeing job is at or within arm's reach; performs mechanical or skills trades tasks of a non-repetitive nature. The work is required to have the visual acuity to operate motor vehicles and/or heavy equipment. Travel: Extensive nationwide travel is required for this position, on a moment's notice if needed, including overnight stays. Qualifications and Requirements: An Associate's degree in electronics or equivalent work experience Five (5) or more years of Siemens Biograph system staging, installation and troubleshooting Two (2) or more years of experience as a Service Engineer with an established service organization or OEM in the Nuclear Medicine field or completed CII training. Basic computer skills, MS Suite Valid Driver's license and clean driving record Reliable Transportation Ability to travel US wide Ability to read operating manuals and instructions Ability to communicate fluently both verbally and in writing Problem-solving skills and ability to exercise independent judgment and discretion Knowledge of electronic safety and procedures, low to high voltage Electronics/Mechanical background Advanced Knowledge of PET/CT and or PET Self-driven, motivation to succeed Ability to learn company policies and adhere to them in the performance of all assigned duties and communicate any compliance deviations to management in a timely manner

Minimum Qualifications - Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of experience designing, developing, and implementing large-scale solutions in production environments Preferred Qualifications - Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry experience Experience working as a platform engineer or in close collaboration with platform engineers Skills, Licenses, and Certifications Proficiency with the following technologies: Programming Languages: Go, Python, React Deployment Technologies: Kubernetes, Docker Source Control: GitHub CICD: GitHub Actions Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases Ability to work through others by cooperatively sharing responsibilities Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward. Proficiency in object-oriented design techniques and principles Proficiency in Agile methodologies, such as SCRUM Proficiency in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment

Senior Java BE Engineers (Java, Spring Boot, MongoDB) Austin TX On Site - Amazon Web Services (AWS) - Amazon Web Services EKS (AWS EKS) - AWS-EC2Full Stack-Java - Git - GitHub - Grafana - Kafka - MongoDB - Redis - Splunk - Spring - Spring Boot - Spring Web Services - Experience working with a Platform that spans across multiple tenants like Support Communities, Developer Forums, and Education Forums. - Must-Have: 10+ more years with Java - 5+more years with Mongo, and hands on experience with AI tools like [ RooCode and Claude ] - design and development of highly available, distributed and scalable enterprise systems. - SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture. - AWS deployments, scaling and EKS cluster management - GIT, PR process, CI/CD Pipelines and deployments. - Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems. - Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis. - Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN. - Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks. - Familiarity with template driven rendering and client and server side MVC architectures - Familiarity with Splunk for investigating or monitoring problems on systems. - Thorough understanding of Software Development Lifecycle, tools and agile methodologies. - Sharp troubleshooting skills and real world systems deployment experience.

This is an onsite role, 5 days a week. Competitive compensation and benefits. Sponsorship is not available for this role. The Senior Cybersecurity Engineer will act as the primary architect of our organization's digital defense, bridging the gap between Enterprise IT, Cloud Development, and Operational Technology (OT). This role is responsible for operationalizing our security strategy, advising our software development pipeline, and advising on the protection of industrial control systems. This role leads the technical implementation of CMMC 2.0 compliance while ensuring our manufacturing and cloud applications remain resilient against modern threats. Responsibilities: Secure Microsoft Azure environments by managing Entra ID (Identity), Defender for Cloud, and Sentinel. Configure and audit conditional access policies and resource grouping Own the roadmap to CMMC Level 2 assessment readiness. Manage the System Security Plan (SSP) and Plan of Action and Milestones (POAMs) specifically for Defense Industrial Base (DIB) requirements Conduct continuous security risk assessments, bridging the gap between technical vulnerabilities (CVSS scores) and business impact Oversee the lifecycle of vulnerability management, from scanning to patch verification, working closely with infrastructure teams to minimize downtime Develop and enforce policies regarding the use of Generative AI tools (LLMs) within the enterprise to prevent data leakage and IP loss Collaborate with development teams to integrate security scanners (SAST/DAST) into the CI/CD pipeline, ensuring Security by Design Translate complex cyber metrics into a "Risk Scorecard" for leadership, highlighting ROI on security investments and current threat levels Champion security awareness training, running phishing simulations and tabletop exercises to build organizational resilience Engage with key stakeholders in the development of contingency plans, business continuity strategies, and disaster recovery efforts, ensuring our organization's resilience Basic Qualifications: Bachelor's degree in computer science, information systems, or related degree Minimum 6 years of technical security experience Minimum 2 years specifically managing cloud security (Azure preferred) Proven experience preparing an organization for CMMC, NIST 800-171, or ISO 27001 audits Qualifications and Experience: Expert knowledge of NIST 800-171, CMMC 2.0, and SOC 2 standards Direct experience securing Microsoft Azure infrastructure Ability to manage risk assessments and threat modeling Skilled in writing technical policies, procedures, and SSPs Experience coordinating third-party audits and external assessments Knowledge of DevSecOps pipelines and OT/Industrial security Ability to work both independently and collaboratively, and handle ambiguity Excellent communication skills and ability to succinctly present recommendations Strong ability to prioritize competing deadlines in a fast-paced environment Adaptability to perform additional duties as business needs evolve We are an Equal Opportunity Employer and consider all qualified applicants for employment without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ethnicity, genetic background, age, marital status, veteran status, disability, or any other legally protected status. When needed, reasonable accommodation will be made to help individuals with disabilities fulfill essential responsibilities.

Job Title: Gitlab Engineer Duration: 6+ Months Required Skills and Experience: 8+ years of experience in DevOps or Platform Engineering roles 3+ years of hands-on experience with GitLab CI/CD, GitLab Runners, and GitLab administration Proficiency with scripting and automation (e.g., Bash, Python, or Go) Experience with infrastructure-as-code tools (Terraform, Ansible, etc.) Solid understanding of containerization (Docker) and orchestration (Kubernetes) Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native tooling Strong communication skills and a track record of cross-team collaboration Knowledge of JFrog Artifactory, BitBucket / GIT, SVN and other SCM tools Knowledge of desired state configuration, automated deployment, continuous integration, and release engineering tools like Puppet, Chef, Jenkins, Bamboo, Maven, Ant etc Plan and execute the end-to-end migration from Jenkins and Automic to GitLab CI/CD Configure and manage GitLab Runners, Groups, Projects, and Permissions at scale Harden GitLab for enterprise usage (SAML/SSO, LDAP, RBAC, backup/restore) Design, implement, and optimize complex GitLab CI/CD pipelines using YAML best practices Implement multi-stage, parallel, and conditional workflows for build, test, security scan, and deploy Integrate static code analysis, security scanning (SAST/DAST), and container scanning into pipelines Analyze existing Jenkins's freestyle and scripted pipelines; translate to GitLab CI/CD syntax Migrate Automic workflows/jobs into GitLab, orchestrating dependencies and scheduling Reduce pipeline execution time through caching, artifact reuse, and pipeline templating Lead the migration of container build and deployment processes from Docker to Podman/Buildah Author GitLab CI templates for Podman-based image builds and registries Ensure the security and compliance of container images (signing, vulnerability scanning) Leverage Terraform, Ansible, or similar to provision and manage self-hosted GitLab and runners Implement GitOps practices to manage infrastructure and environment configurations Automate operational tasks and incident remediation via pipelines and scripts Partner with application teams to onboard them onto GitLab workflows and best practices Develop and maintain clear runbooks, wiki pages, and pipeline templates Conduct workshops, brown-bags, and training sessions to evangelize GitLab CI/CD Integrate monitoring (Prometheus/Grafana, ELK) for GitLab health and pipeline performance Implement policies and guardrails to ensure code quality, compliance, and security posture Troubleshoot and resolve CI/CD or migration-related incidents in a timely manner Preferred: A BS in Computer Science or equivalent work experience with good scripting/programming skills GitLab Certified CI/CD Specialist or GitLab Administrator Certification Contributions to the GitLab open-source project or similar tooling Prior software experience with build management, configuration management and/or quality testing Experience with SCM practices including Agile, continuous integration (CI) and continuous deployment (CD)

Responsibilities: This role is transferring to a new vendor so need someone to help with the AOC system migration C Programming/ Llama knowledge is ideal This is a system that helps pilots communicate to the ground crews and they will be changing the vendor, so this aircraft system needs to point to a new vendor Experience with airline modifiable information. Knowledge on 787 aircrafts would be preferred ACMF Bachelor's Degree preferred Boeing experience is highly preferred Job Description: Aircraft AOC system experience AOC software customization experience preferred. Airline Modifiable Information AMI software experience FDCF ACMF DCMF etc. AMI customization through GBST experience preferred. Knowledge of aircraft software distribution/loading. Experience as an engineer with aircraft avionics or related. Knowledge of Aircraft manuals AMM IPC etc.. Experience authoring revising and creating Engineering Orders EOs and Engineering Authorizations EAs. Ability to manage major projects on schedule. Knowledge of Microsoft Office Word Outlook Excel etc.

Cloud Architect (Google Cloud Platform - GCP) Client: IT Service Partner Engagement: Contract (C2C) Pay Rate: $55-57.50/hour (C2C) About the Role We are seeking an experienced Cloud Architect with deep expertise in Google Cloud Platform (GCP) to support enterprise-level cloud strategy and modernization initiatives for our client, Cognizant. This role will focus on designing, developing, and managing scalable and secure cloud solutions that enable high-performance, resilient, and cost-optimized environments. As a Cloud Architect, you will lead cloud migration efforts, define architecture standards, guide engineering teams, and ensure best practices across security, automation, and infrastructure-as-code. This is an excellent opportunity to contribute to high-impact digital transformation programs within a global technology organization. Key Responsibilities Architect, design, and implement cloud solutions on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance. Lead and oversee cloud migration projects, including assessments, planning, execution, and optimization. Collaborate closely with cross-functional teams (engineering, security, DevOps, product) to ensure alignment with business and technical objectives. Develop architecture diagrams, best-practice documentation, and technical standards to support cloud adoption. Evaluate business requirements and translate them into secure, efficient cloud solutions. Maintain strong governance around cloud security, compliance, and resiliency frameworks. Leverage automation and infrastructure-as-code tools (Terraform, Ansible, Deployment Manager, etc.) to streamline deployments and operations. Monitor cloud systems and optimize performance, cost, and security posture. Provide technical leadership, mentoring, and guidance to engineering teams and stakeholders. Required Skills & Experience 5+ years of hands-on experience as a Cloud Architect or senior cloud engineer. Strong expertise across GCP services (Compute Engine, Cloud Storage, GKE, VPC, IAM, BigQuery, Cloud Run, Cloud Functions, etc.). Deep knowledge of cloud security, identity and access management, and compliance controls. Demonstrated experience leading cloud migration and modernization initiatives. Proficiency with Infrastructure-as-Code (Terraform, Deployment Manager, Ansible). Strong background in automation, CI/CD, networking fundamentals, and system design. Excellent communication, documentation, and problem-solving skills. Preferred Qualifications GCP Professional Cloud Architect certification (or equivalent). Experience in large enterprise environments or consulting organizations. Familiarity with multi-cloud or hybrid-cloud architectures.

Senior AWS & DevOps Engineer - Build and Scale the Core of a New Global Network Are you ready to architect the infrastructure behind a next-generation global trust network? The internet was never designed with a native trust layer. That gap has created decades of inefficiency, insecurity, and complexity. At Noetic, we are not optimizing the old world - we are building a new one. A world where identity, trust, and security live at the network layer itself. Backed by industry-defining leaders and significant funding, Noetic is building foundational technology that will reshape how the world connects. About the Role We are looking for a Senior AWS & DevOps Engineer with deep expertise in cloud architecture, Kubernetes, automation, and hybrid infrastructure. This is a hands-on leadership position responsible for designing, deploying, and supporting Noetic's mission-critical environments across AWS and on-premise systems. You will be the primary owner of production reliability, Kubernetes engineering, DevOps pipelines, hybrid networking, and security-aligned infrastructure design. What You'll Do AWS Cloud, DevOps & Kubernetes Leadership Architect, deploy, and maintain highly available AWS infrastructure Lead Kubernetes engineering, deployment automation, and cluster reliability Oversee monitoring, logging, observability, and performance optimization Support security compliance initiatives and audit readiness Own VPC, routing, zero-trust networking, and infrastructure security designs Architect scalable, self-healing systems with automated failover Full-Stack Infrastructure (Cloud & On-Prem) Deploy and support full application stacks, databases, and services Define CI/CD automation and release management strategies Drive platform containerization using Docker and related tooling DevOps & Automation Excellence Implement Infrastructure as Code using Terraform and CloudFormation Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI/CD) Integrate source control, automation, security scanning, and deployment workflows Design monitoring, auto-healing, backups, and disaster recovery systems Hybrid & On-Prem Architecture Lead automation, deployment, and maintenance of bare-metal Kubernetes clusters Engineer secure hybrid network topologies bridging cloud and physical systems Security & Compliance Design IAM, secrets management, and secure access policies Support SOC2, ISO, and related compliance frameworks What You Bring Core Technical Expertise 8+ years of hands-on AWS and on-prem infrastructure engineering Deep experience with EC2, VPC, IAM, routing, and security controls Advanced Kubernetes automation (cloud + on-prem, VMs and bare metal) Experience with PostgreSQL, TimescaleDB, Redis Strong proficiency in Terraform, Ansible, CI/CD pipelines Expert-level Linux systems engineering and networking Soft Skills Strong communicator who can explain complex systems with clarity Highly accountable and reliable in fast-moving environments Ability to manage multiple priorities inside a startup culture Collaborative, supportive, and easy to work with Education Bachelor's degree in Computer Science, Engineering, Mathematics, Science, or related discipline. Preferred Certifications AWS Solutions Architect AWS DevOps Engineer CKA, CKAD, CKS Preferred Background Experience in large enterprise environments Exposure to high-scale or compliance-driven platforms Why Join Noetic? Architect and operate the backbone of a groundbreaking global trust network Work on cutting-edge cloud and Kubernetes systems with high scale and complexity Join an engineering-first culture rooted in autonomy, precision, and mission Daily team lunch - a cornerstone of Noetic's collaborative culture Build foundational infrastructure that will disrupt cybersecurity software Benefits & Perks Competitive salary and performance-based bonuses Comprehensive health, dental, and vision insurance 401(k) plan with company match Unlimited paid time off On-site gym Daily lunch Ready to Build the Future? If you're ready to architect the infrastructure of a new global trust layer and push modern cloud and Kubernetes systems to their limits, we'd love to speak with you. We welcome applications from all qualified candidates who are authorized to work in the U.S. However, we are unable to provide visa sponsorship at this time. Noetic Global Corp. is an equal opportunity employer. Noetic complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. No phone calls or agencies please.

Senior WLAN Engineer (High-Density Wi-Fi / RF Optimization) Contract | Onsite 3 Days/Week | Dallas-Area A global technology organization specializing in large-venue connectivity is seeking a Senior WLAN Engineer to join their advanced wireless engineering team. This role centers around designing, commissioning, optimizing, and supporting high-density Wi-Fi networks across complex, large-scale environments. You will collaborate closely with cross-functional engineering teams and customer stakeholders to ensure exceptional wireless performance, reliability, and user experience across mission-critical deployments. What You'll Be Doing: Design, engineer, and support enterprise-grade WLAN and Wi-Fi infrastructures across large commercial venues. Perform peer reviews of predictive RF models using industry-standard wireless design tools. Conduct onsite and remote site surveys, spectrum analysis, and performance assessments. Configure and optimize Cisco, Ruckus, and Extreme wireless platforms and their respective controllers. Provide installation guidance to field teams on access point placement, antenna selection, cabling, and wireless hardware setup. Deliver operational support, configuration updates, troubleshooting, and change implementations. Plan, commission, and optimize high-density Wi-Fi environments, including point-to-point wireless links. Implement WLAN features such as Secure Mobility, Voice over WLAN, Guest Access, and Passpoint/Hotspot 2.0. Perform RF channel planning, static assignments, and power-level optimization. Apply best practices across 2.4GHz, 5GHz, and 6GHz deployments. Evaluate wireless hardware, antennas, and related network components. Manage priorities and deliver high-quality work within project timelines. Produce detailed technical documentation for designs, standards, and operational procedures. Contribute to internal best-practice guidelines and engineering playbooks. Requirements: 6+ years of hands-on experience designing, deploying, and optimizing WLAN networks in enterprise, MSP, campus, or high-density environments. Deep expertise in Wi-Fi/RF architecture, RF optimization, and wireless troubleshooting. Experience with: Cisco Wireless Controllers (9800/8510/8540) Ruckus SmartZone / vSZ Extreme Networks wireless platforms Strong understanding of 802.11 standards (b/g/n/ac/ax/be) and point-to-point wireless technologies. Advanced troubleshooting capability in complex wireless environments. Experience deploying: Secure Mobility Voice over WLAN Guest Access Passpoint / Hotspot 2.0 Proficiency with Ekahau and modern spectrum analysis tools. Knowledge of Cisco routing/switching and TCP/IP networking (preferred). Strong customer-facing communication skills with both technical and non-technical audiences. Excellent written and verbal communication. Proficiency with standard documentation tools (e.g., Office, Visio). Degree in Computer Science, Electrical Engineering, or equivalent experience. Why This Opportunity? Work on large-scale, high-density wireless environments with significant technical impact. Join a team that values innovation, structured design, and engineering excellence. Gain exposure to next-generation wireless technologies, including the expansion of 6GHz and emerging WLAN standards. Hands-on involvement in complex RF challenges across diverse commercial venues.

Role: AI/ML Lead Engineer - FTE Job Details We're seeking a AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems. This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies. Responsibilities: Business Analytics & Intelligence: Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques. Model Engineering: Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization. Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining. Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs. Knowledge Graph Integration: Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems. Enterprise Fine-Tuning: Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows. AI Infrastructure: Develop robust ML pipelines using AI/ML Ops tools Risk Mitigation: Identify and address risks in AI/ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies. Multi-functional Collaboration: Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals. Collaborator Involvement: Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions. Research & Innovation: Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation. Expectations: To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML engineering, with a solid base in Python Proficient in ML libraries & toolkits, predictive modeling, pattern recognition, analytics, etc. Proven experience with LLMs, NLP, and generative AI frameworks Understanding of neural network architectures including CNNs, RNNs, transformers, and attention mechanisms. Expertise in knowledge graph construction and integration with conversational systems. Familiarity with MLOps, model lifecycle management, and secure data governance practices. Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker/Kubernetes), and CI/CD pipelines. Strong communication and leadership skills to drive multi-functional initiatives and present to executive audiences.

Job Title: Mobile App Development Engineer Primary Skills: Flutter/Dart or React Native, Kotlin/Java for Android & Swift/Objective-C for iOS. Mode of Work: Work from Office About the Job: We are seeking a talented Mobile App Development Engineer to join our engineering team in building and maintaining innovative mobile applications for iOS and Android platforms. The engineer will focus on writing clean, efficient code, implementing features, and ensuring high-quality deliverables in a fast-paced environment. This role is a complete hands-on development responsibility. The ideal candidate must possess a diverse skill set to tackle the challenges of app development effectively from proficiency in programming languages such as Java, Swift, or Kotlin to expertise in mobile app development frameworks like React Native or Flutter. Key Responsibilities: Develop and maintain mobile applications using .NET/C#, Java/Kotlin, Swift, or React Native, following clean code principles. Implement user interfaces and features based on wireframes, designs, and technical requirements. Integrate mobile applications with RESTful APIs, backend services, and third-party libraries (e.g., Firebase, Facebook SDK). Write unit and integration tests to ensure code quality and reliability. Debug and resolve issues reported by QA or end-users, optimizing for performance and compatibility. Collaborate with cross-functional teams (e.g., designers, product managers, backend developers) to deliver user-friendly applications. Participate in code reviews to maintain code quality and consistency. Stay updated with mobile platform updates, SDKs, and development best practices. Contribute to technical documentation, including API usage and feature implementation details. Support the application lifecycle, including testing, release, and post-launch maintenance. Required Skills & Experience: Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 2+ years of experience in mobile application development. Proficiency in at least one mobile development language/framework (e.g., .NET MAUI, Java/Kotlin, Swift, React Native). Familiarity with mobile platform APIs, SDKs, and tools (e.g., Android Studio, Xcode). Experience with RESTful APIs, JSON, and web services integration. Knowledge of UI/UX design principles and platform-specific guidelines. Understanding of version control systems (e.g., Git) and basic Agile practices. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Desired Skills & Experience: Experience with cross-platform development frameworks (e.g., Flutter, Xamarin). Knowledge of mobile testing tools (e.g., JUnit, XCTest, Jest). Familiarity with cloud services (e.g., AWS, Firebase) and CI/CD pipelines. Understanding of mobile security practices (e.g., secure storage, API authentication). Contributions to released applications on the App Store or Google Play.

Join a rapidly expanding cloud security MSP that's breaking through the $5M revenue mark and scaling fast! This Houston-based leader is sharpening its focus on security and compliance while serving innovative clients in architecture, engineering, and construction. With a dynamic team and seasoned leadership drawn from top enterprise MSPs, this is your chance to grow your career in a company that values expertise, client success, and forward-thinking solutions. About the Role This newly created Solutions Engineer position plays a pivotal role bridging strategic vision and technical execution. You'll be responsible for scoping, designing, and delivering infrastructure and cloud projects across hybrid environments - supporting clients with 50-110 users and helping them modernize securely and efficiently. What You'll Own: Design and deploy hybrid cloud and infrastructure solutions: networking, routing/switching, M365, backups, VM architecture, SANs, site-to-site VPNs Lead client-facing scoping meetings to understand business goals and translate them into clear project plans and scopes of work Manage project timelines, resources, and deliverables from start to finish, ensuring seamless execution and documentation Collaborate closely with vCIOs, TAMs, and service teams to ensure client satisfaction and operational excellence Requirements: Must have MSP industry experience Experienced in hybrid infrastructure, cloud environments, and network design Skilled in client communication, project scoping, and technical delivery leadership Organized, proactive, and detail-oriented with a passion for driving projects to success Why Work Here? Competitive salary up to $120K Comprehensive benefits including 401(k) matching, health, dental, and vision insurance Paid time off and life insurance Opportunity to grow with a fast-scaling MSP investing heavily in your development Location: Houston, TX 77024

Job Title: Databricks Lead - Data Engineering As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily leveraging AWS services. You will play a key role in implementing robust data governance with Unity Catalog and ensuring cost-effective data solutions. This role requires a strong technical leader who can mentor junior engineers, drive best practices, and contribute hands-on to complex data challenges. Responsibilities: * Databricks Platform Leadership: * Lead the design, development, and deployment of large-scale data solutions on the Databricks platform. * Establish and enforce best practices for Databricks usage, including notebook development, job orchestration, and cluster management. * Stay abreast of the latest Databricks features and capabilities, recommending and implementing improvements. * Data Ingestion and Streaming (Kafka): * Architect and implement real-time and batch data ingestion pipelines using Apache Kafka for high-volume data streams. * Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka consumers and producers for performance and reliability. * Data Governance and Management (Unity Catalog): * Implement and manage data governance policies and access controls using Databricks Unity Catalog. * Define and enforce data cataloging, lineage, and security standards within the Databricks Lakehouse. * Collaborate with data governance teams to ensure compliance and data quality. * AWS Cloud Integration: * Leverage various AWS services (S3, EC2, Lambda, Glue, etc.) to build a robust and scalable data infrastructure. * Manage and optimize AWS resources for Databricks workloads. * Ensure secure and compliant integration between Databricks and AWS. * Cost Optimization: * Proactively identify and implement strategies for cost optimization across Databricks and AWS resources. * Monitor DBU consumption, cluster utilization, and storage costs, providing recommendations for efficiency gains. * Implement autoscaling, auto-termination, and right-sizing strategies to minimize operational expenses. * Technical Leadership & Mentoring: * Provide technical guidance and mentorship to a team of data engineers. * Conduct code reviews, promote coding standards, and foster a culture of continuous improvement. * Lead technical discussions and decision-making for complex data engineering problems. * Data Pipeline Development & Optimization: * Develop, test, and maintain robust and efficient ETL/ELT pipelines using PySpark/Spark SQL. * Optimize Spark jobs for performance, scalability, and resource utilization. * Troubleshoot and resolve complex data pipeline issues. * Collaboration: * Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions. * Communicate technical concepts effectively to both technical and non-technical stakeholders. Qualifications: * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field. * 7+ years of experience in data engineering, with at least 3+ years in a lead or senior role. * Proven expertise in designing and implementing data solutions on Databricks. * Strong hands-on experience with Apache Kafka for real-time data streaming. * In-depth knowledge and practical experience with Databricks Unity Catalog for data governance and access control. * Solid understanding of AWS cloud services and their application in data architectures (S3, EC2, Lambda, VPC, IAM, etc.). * Demonstrated ability to optimize cloud resource usage and implement cost-saving strategies. * Proficiency in Python and Spark (PySpark/Spark SQL) for data processing and analysis. * Experience with Delta Lake and other modern data lake formats. * Excellent problem-solving, analytical, and communication skills. Added Advantage (Bonus Skills): * Experience with Apache Flink for stream processing. * Databricks certifications. * Experience with CI/CD pipelines for Databricks deployments. * Knowledge of other cloud platforms (Azure, GCP) is a plus. What We Offer: * Competitive salary and benefits package. * Opportunity to work on challenging and impactful data initiatives. * Collaborative and innovative work environment. * Professional development and growth opportunities. [Company Name] is an Equal Opportunity Employer.

Please send only relevant profiles to ************************ Need good experience on Druid application Development. Job Description - Apache Druid Support Engineer Client: Reputed Rate: DOE. Client is seeking a highly skilled Apache Druid Support Engineer with strong platform engineering and operations expertise. This role involves managing on-prem Druid clusters, optimizing performance, and ensuring seamless integration across the data ecosystem. Roles & Responsibilities Design, build, and maintain on-prem Apache Druid clusters. Monitor cluster health & performance; troubleshoot and resolve issues proactively. Optimize Druid queries, ingestion specs, and data pipelines in collaboration with analytics teams. Integrate Druid with systems such as Kafka, Spark, BigQuery, and other GCP components. Implement and maintain CI/CD and automated deployment pipelines for Druid. Perform Druid operations including configuration, installation, upgrades, and patching. Develop and maintain Linux shell scripts, automation tools, and monitoring dashboards. Manage observability tools: Prometheus, Grafana. Work with ancillary systems: GKE, MySQL, GitLab, Airflow. Primary Skills Apache Druid (Hands-on expertise required) Google Cloud Platform (GCE, BigQuery, GKE) Linux / Shell Scripting Apache Airflow GitLab Ansible Prometheus, Grafana Secondary Skills Python, PySpark PL/SQL Shell Scripting MySQL ArgoCD SQL / Teradata (Plus) Job Requirements 8+ years of IT experience Strong, hands-on production support experience with Apache Druid Experience in automation, ops, monitoring, and GCP ecosystem