Principal engineer jobs in The Colony, TX

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.

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.

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.

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.

The Azure Integration Engineer is responsible for designing, developing, and maintaining Reddy Ice's enterprise integration solutions across Azure services, ensuring secure, scalable, and high-quality data movement between ERP, CRM, operational systems, third-party providers, and our enterprise data platforms. This role develops cloud-first integrations using Azure Data Factory, Azure Functions, Azure Logic Apps, Azure Storage, Azure Databricks, and related platform components. The role ensures always-on, predictable, and transparent data flows supporting business operations, analytics, D365 transformation programs, and the broader AI-Reddy roadmap. This position collaborates closely with business stakeholders, developers, enterprise architects, and data engineering teams to deliver resilient, automated, and well-governed integrations. The Azure Integration Engineer embodies Reddy Ice's “True North” attributes: voice of the customer, respect for the individual, no-nonsense communication, fact-based decision-making, servant leadership, and continuous improvement. The role leads and participates in Lean activities (A3, VSM, Kaizen) to drive end-to-end operational excellence. DUTIES & RESPONSIBILITIES Azure Integration & Automation Design, build, and maintain integration pipelines using Azure Data Factory (ADF), Azure Databricks, Azure Functions, Azure Logic Apps, and Azure Event-based solutions (Event Hub, Service Bus). Build scalable ingestion and transformation flows across cloud and on-prem systems, ensuring high performance and secure movement of structured and unstructured data. Implement end-to-end ETL/ELT pipelines supporting D365 F&O, D365 CE, Boomi MDH, CRM, route systems, logistics systems, and financial platforms. Develop reusable integration frameworks, parameterized pipelines, error handling, logging, retry processes, and automated monitoring dashboards. Platform Engineering & Architecture Partner with enterprise architects to evolve Azure-based data and integration platforms, supporting cloud modernization and the Reddy Ice AI and analytics strategy. Contribute to Lakehouse data models using Databricks Delta Lake and Azure Synapse Analytics. Collaborate on cloud integration strategies, including migration of legacy ETL (SSIS, Informatica, SAS) into Azure-native solutions. Data Governance, Quality & Operations Implement data validation, data quality rules, schema evolution, and automated error-detection routines. Support Azure Purview/MDM alignment by ensuring integrations meet governance, lineage, and metadata requirements. Perform root cause analysis, troubleshoot integration failures, and partner with business units to drive issues toward zero operational impact. Cross-Functional Collaboration Work with Field Operations, Finance, Supply Chain, Customer Service, DSD, Accounting, and Sales Operations to deliver reliable integrations across business-critical systems. Translate business requirements into technical integration specifications and documentation. Provide technical leadership in Agile sprint ceremonies, architecture reviews, and production release cycles. Continuous Improvement & Lean Lead and participate in Lean activities (A3s, Kaizen, VSM) to optimize integration processes, reduce cycle time, automate manual touchpoints, and improve stability. Identify opportunities to increase the adoption of automation, telemetry, and observability across integration workflows. Other Maintain highest adherence to data security, audit requirements, confidentiality, and compliance standards. Perform additional duties as assigned by management. EDUCATION AND EXPERIENCE Required Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 5+ years of experience in data integration, ETL/ELT development, cloud engineering, or data engineering in enterprise environments. 3+ years hands-on experience with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, Azure Functions, and Azure DevOps. Strong experience with SQL (T-SQL), Python/PySpark, data modeling, pipeline orchestration, and cloud-native ETL patterns. Experience integrating data across ERP, CRM, supply chain, or financial systems (D365 preferred). Proven ability to troubleshoot cloud pipelines and optimize performance and cost. Preferred Microsoft Azure certifications (DP-203, DP-900, Azure Data Engineer). Experience with Data Quality, MDM, and governance frameworks. Experience with Boomi, Informatica, SSIS, or legacy ETL modernization. Experience in CPG, logistics, retail, food/beverage, or distributor/co-packer environments. Soft Skills Strong communication and documentation skills. Servant-leader mindset, highly collaborative, continuous-improvement driven. Ability to operate in a fast-paced, rapidly evolving environment. SUPERVISORY RESPONSIBILITY This is an individual contributor role with no direct reports. WORKING CONDITIONS/PHYSICAL REQUIREMENTS Typical office environment, generally sedentary position using computers, calculators, phones, and other office equipment. This position works in a fast-paced, rapidly changing work environment. The ability to manage stress, build professional and collaborative relationships, and reason through complex business situations is essential. Willing to work occasional weekends when required due to live data streams or emergency ice management. Must be able to lift up to 20 pounds of file boxes for storage of data. No travel required. NON-SOLICITATION AND CONFIDENTIALITY By signing this document, I will not solicit Reddy Ice customers or employees for a period of 1 year after my employment ends. In addition, during my employment with Reddy Ice, and for a period of 1 year after my employment, I will not disclose any Confident Information (information received by Reddy Ice, whether written or oral, which is, or should be reasonably apparent from the inherent nature, quality or characteristics of such information) to anyone outside Company, and I will use and disclose Confidential Information to those inside Reddy Ice only as necessary to perform my duties as an employee of Reddy Ice.

🌥️ Now Hiring: Senior Azure Cloud Engineer - Texas (75039) | 6-Month Contract 🚀 We're looking for an experienced Senior Azure Cloud Engineer to join our team in Texas (75039)! This is a 6-month contract with a strong possibility of extension or full-time placement. If you're passionate about cloud automation, CI/CD, and designing modern cloud solutions - this role is for you! ⚡ 🔧 What You'll Do 🚀 Automate cloud provisioning using Terraform, Chef, Puppet, and more 🛠️ Build high-quality automation workflows aligning tech + business strategies 🤝 Embed with engineering teams to deliver best-practice CI/CD and cloud-native solutions 📦 Champion TDD/ATDD, trunk-based development, version control, and pipeline automation 🔍 Drive PoCs and perform technical feasibility studies 🐛 Troubleshoot complex production issues and drive resolution 🌐 Manage 3rd-party data streams into datacenter and cloud 🧭 Collaborate with Architecture teams on strategic cloud enablement 📈 Ensure high availability, monitoring, and operational excellence 🎓 Act as an Azure Cloud SME, guiding teams on standards and governance 🛡️ Lead compliance automation and policy-as-code initiatives 📣 Communicate risks, progress, and updates with stakeholders 🗺️ Create diagrams (system flow, data flow, sequence, UML) and architecture documentation 🧠 Required Skills & Experience 💼 7-10 years in IT ☁️ 5-7 years hands-on cloud experience (Azure, AWS, GCP) 🔹 Strong expertise with: Azure services (Event Hub, VMs, AKS, Storage, DNS, App Service, Redis, VNETs) Terraform, ARM Templates, CloudFormation Puppet, Chef, Ansible, Jenkins, Azure DevOps Python, Ruby, Linux OS Monitoring tools (DataDog, Splunk, Nagios, Zipkin, AppDynamics) SCM, CI/CD, Artifactory, Sonar, Maven/Gradle/Webpack 💡 Deep knowledge in software design, networking, storage, security, virtualization, DB arch, and Linux admin 🔗 Strong understanding of API gateways, web services, integration patterns 🔄 Experience with Agile/Scrum 🗣️ Excellent communication & documentation skills 🧭 Proven leadership, mentoring, and architectural guidance experience ⭐ Preferred 🏦 2-3 years experience in consumer banking 🔥 Experience handling high-visibility, fast-paced, on-call environments

Talent Groups is seeking a Sr. Cybersecurity Cloud Engineer to join our client's growing cybersecurity team. In this role, you will design, implement, and maintain cloud and hybrid security solutions that protect enterprise networks, assets, and users. You'll work across Azure and AWS environments, build cloud security guardrails, create Splunk queries and alerts, tune detection systems, and collaborate closely with senior leadership and other cybersecurity teams. This role requires both technical expertise and the ability to communicate complex security concepts to non-technical stakeholders. Key Responsibilities: Engineer, deploy, and manage enterprise security tools including DLP, HIPS, SIEM, Endpoint Security, Vulnerability Management, Email Gateways, Certificate Management, SSL/TLS encryption/decryption, Identity Management, Cloud Security, and Database Security. Build and tune security guardrails in Azure and AWS environments. Develop Splunk queries, alerts, and policies to detect and respond to threats. Collaborate with DevOps, cloud engineering, and incident response teams to enhance security posture. Participate in risk assessments and security incident investigations. Recommend, evaluate, and implement new security tools and processes. Maintain documentation, standards, and technical requirements. Qualifications: 5+ years of cloud experience (Azure and/or AWS). Advanced knowledge of networking concepts, application protocols, and hybrid/cloud environments. Strong expertise in cloud security design, architecture, and implementation. Hands-on experience with Kubernetes, Terraform, Agile, and CI/CD pipelines. Proficiency in scripting/automation (Python, Go, Ruby, etc.). Familiarity with frameworks like NIST CSF or ISO 27001. Excellent communication skills with the ability to present to executives. Bachelor's degree in a related field is strongly preferred. Certifications such as CISSP, CCNP-Security, GIAC, CEH, CPTS are a plus. Talent Groups is an equal opportunity employer. We appreciate all applications; however, only candidates selected for interviews will be contacted.

IDR is seeking a Lead Power BI Developer to join one of our top clients for an opportunity in Coppell, TX. This role is integral to designing, developing, and optimizing enterprise data models, metrics, and Power BI reports that support data-driven decision-making across the organization. The ideal candidate combines Power BI visualization expertise with hands-on data engineering experience in Databricks, building scalable, high-quality data products for enterprise and self-service analytics. Position Overview for the Lead Power BI Developer: Play a key role in designing, developing, and optimizing enterprise data models, metrics, and Power BI reports. Collaborate with cross-functional teams to deliver scalable data solutions that support strategic business goals. Blend Power BI visualization skills with data engineering expertise in Databricks to build high-quality data products. Support both enterprise and self-service analytics initiatives through interactive dashboards and certified datasets. Utilize advanced SQL and data transformation skills to ensure high performance and accuracy of data and reports. Requirements for the Senior Power BI Developer: 8+ years of BI development experience, with a focus on Power BI 5+ years experience with Power BI, including DAX, Power Query, semantic modeling, and KPI framework creation. 2+ years of recent Lead experience, mentoring and leading other PowerBI Developers on the team Hands-on experience developing interactive dashboards and certified datasets for enterprise users. Advanced SQL skills for querying, validation, and performance optimization. Strong hands-on skills in Databricks, including PySpark, SQL, Delta Lake, and Unity Catalog, with the ability to collaborate with Data Engineers. What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.

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

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.

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.

Principal Software Engineer - Plano, TX - Onsite One of our top clients in the hospitality/entertainment is looking to hire a principal Software Engineer. This role will play a key role in shaping the technical strategy and driving innovation across the development teams. With deep expertise and a commitment to building robust, high-quality applications, you'll guide architecture, mentor engineers, and help steer product direction. This role calls for a forward-thinking leader grounded in strong software design principles who excels in collaborative, fast-moving environments. Key Responsibilities: Leading architecture and development using Node.js, React, TypeScript, and Java. Mentoring engineers and driving cross-team collaboration for smooth delivery. Innovating and improving processes to boost performance and alignment. The ideal candidate will have: 10+ years experience as a software developer Fullstack engineering experience highly preferred Strong proficiency with NodeJS, React, and JavaScript Bachelor's or Master's degree in Computer Software field Ability to work onsite in Plano, TX daily For the suitable candidate, our client can offer: Competitive Salary based on experience Bonus based on performance If you are interested in this role, please apply directly to this posting with your CV/Resume

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.

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.

Role: AI/ML Lead Engineer Fulltime role 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.

We are looking for a Senior GitLab Engineer to lead our CI/CD modernization, drive GitLab administration, and migrate legacy automation into a unified GitLab platform. The ideal candidate will have deep hands-on GitLab expertise, strong DevOps skills, and experience transforming CI/CD ecosystems at scale. Responsibilities 3+ years of hands-on experience with GitLab CI/CD, GitLab Runners, and GitLab administration Proven experience migrating Jenkins/other legacy pipelines to GitLab CI/CD Strong skills in creating, optimizing, and securing GitLab pipelines (YAML, caching, templates, artifacts) Experience managing GitLab groups, projects, permissions, SSO/SAML/LDAP, RBAC, backup/restore Solid understanding of Docker containerization and ability to support migration from Docker to Podman/Buildah Hands-on experience with Terraform and Ansible for provisioning runners, infrastructure, and GitOps workflows Strong scripting expertise (Bash, Python, or Go) for automation and pipeline development Experience integrating security tools (SAST, DAST, container scanning, code quality checks) into CI/CD pipelines Familiarity with cloud environments (AWS, Azure, or GCP) and deploying GitLab runners in cloud or hybrid setups Ability to collaborate with application teams, troubleshoot CI/CD issues, and drive best practices across engineering

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.

We are looking for a highly experienced Senior Databricks Engineer with strong hands-on expertise in Python, SQL, Spark, and end-to-end data pipeline development. The candidate will design scalable ETL workflows, optimize big-data jobs, and work closely with data architects to build high-performance analytics solutions on Azure Databricks. Key Responsibilities: • Develop, optimize, and maintain Databricks notebooks using Python and SQL. • Build & enhance ETL/ELT pipelines using Spark and Delta Lake. • Implement data ingestion, transformation, and validation frameworks. • Optimize Spark jobs, cluster performance, and Delta Lake tables. • Work with Azure data ecosystem (ADF, ADLS, Synapse preferred). • Collaborate with data architects, analysts, and business teams for scalable solutions. • Ensure best practices for version control, CI/CD, and job orchestration. Required Skills: • 12+ years of experience in data engineering. • Strong proficiency in Databricks, Python (PySpark), SQL, and Spark optimization. • Hands-on experience with Delta Lake, Unity Catalog, and Workspace management. • Experience integrating with Azure Data Factory / Airflow / other orchestration tools. • Strong knowledge of data modeling, performance tuning, and distributed computing. • Excellent problem-solving and communication skills.

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