Mechanical engineer jobs in Cedar Hill, TX

Mechanical Engineer Dallas and Houston, TX Direct-Hire Required Skills and Knowledge • B.S. degree in Mechanical Engineering or related field • Successful completion of the Fundamentals of Engineering (F.E.) examination • Certified by the State of Texas as an Engineer-in-Training (EIT) •Exceptional attention to detail • Ability to manage multiple projects under strict deadlines • Ability to work well on a team • Exceptional written and verbal skills Preferred Skills and Knowledge: • Experience with AutoCAD, Revit, Bluebeam, and Microsoft Office Suite • Knowledge of building codes • Previous experience in a MEP consulting environment • Previous experience designing MEP systems for schools • Experience in the design of HVAC systems, temperature controls, central plant design, and indoor air quality, as well as other mechanical systems for commercial buildings

As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks. Responsibilities AI Development (40%). Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions. Writing and optimizing code for high-performance AI models. Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities. Collaboration with Teams (20%). Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains. Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability. Integration & Deployment (20%). Lead AI projects, demonstrating hands-on experience in code development and software engineering. Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance. Continuous Learning (20%). Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents. Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions. Decision-Making Autonomy Moderate - Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager. Supervision Required Moderate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. Complexity of Role High - The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability. Cross-Functional Interactions Yes - Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment. Compensation and Benefits: The expected compensation range for this position is between $106,400 - $178,100. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. Proven experience in leading AI projects with hands-on experience in code development and software engineering. Required Expertise: Proficiency in programming languages such as Python, Java, or C++. Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud). Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a cross-functional team environment. Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools. Problem-Solving: Ability to translate business challenges into technical solutions. Collaboration Skills: Effective at working within cross-functional teams. Agility: Flexibility to adapt to changing requirements and new technologies. Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders. > Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy Please view our Pay Transparency Statement.

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs. · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays. · Paid parental leave. · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring. · Mentoring, coaching, and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Systems & Projects Engineer (MSP Experience Required) Denton, TX Career Path: Senior Engineer → Lead Engineer → Solutions Owner The Client works in the real MSP world with 60 to 150-client mix, diverse stacks, fast execution, clean documentation, and team-based delivery. They've doubled the client base over the past two years, and with 25 employees they still function like a team that eats lunch together and wins as one. The growth is intentional: cybersecurity maturity projects, scheduled refreshes, modern centralization, and project plans that are actually scoped before they land on your desk. We're hiring a Systems & Projects Engineer who enjoys variety and ownership andbuilding, improving, standardizing, and advising across multiple SMB environments. What You'll Work On Microsoft 365 environment improvements, tenant cleanup, policies, identity Hyper-V / VMware upgrades, migrations, consolidations Network improvements (firewalls, segmentation, refreshes, Wi-Fi redesigns) Standardization projects across multiple SMB clients (not enterprise red tape) Documentation + modernization reviews with leadership support Why People Stay Family-built MSP, established 20+ years, zero revolving-door culture Structured career track (no guessing if you'll ever move up) Training and certifications funded without begging for approvals Ideal Background 3-6 years in the MSP space (must have MSP experience) Comfortable navigating 15-150 user environments Hands-on with M365 identity, desktop/server refresh projects, and virtualization Solid network fundamentals Compensation $95K-$110K Medical, Dental, Vision, Life If you're tired of being the enterprise cog or the unnamed “resource” in a global queue, and you miss actually seeing the human side of tech - this is the space.

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.

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.

CarMax, the way your career should be! About this job As a BI Platform Engineer, you will be responsible for the administration, optimization, and support of enterprise business intelligence platforms including Power BI and Tableau. You will work closely with multiple analyst and Technology Infrastructure teams to ensure high availability, performance, and scalability of BI environments. Your expertise in Data & Analytics platform engineering, automation, cloud technologies, and user enablement will help drive data democratization and empower business users with reliable, secure, and performant analytics tools. In addition, you will leverage Artificial Intelligence (AI) capabilities to enhance platform operations, automate routine tasks, and improve user experience. Your ability to integrate intelligent automation and predictive analytics into BI workflows will help drive innovation and efficiency across the organization. What you will do - Essential Responsibilities Administer, monitor, and optimize Power BI and Tableau platforms across cloud and on-prem environments. Implement and manage user access, security roles, and governance policies to ensure data protection and compliance. Manage PowerBI Fabric capacities, gateway, workspaces and licensing Collaborate with cross-functional teams to support dashboard development, data source integration, and performance tuning. Automate platform maintenance tasks including upgrades, patching, backups, access provisioning and license management. Develop and maintain CI/CD pipelines for BI content deployment and version control. Integrate AI tools to automate platform monitoring, anomaly detection, and performance optimization. Provide technical support and troubleshooting for BI platform issues and user inquiries. Drive adoption of BI tools through training, documentation, and enablement initiatives. Monitor platform usage and performance metrics to identify opportunities for optimization and cost savings. Stay current with BI platform updates, features, and industry best practices. Partner with data governance and security teams to ensure compliance with enterprise standards. Participate in major incident response and root cause analysis for BI-related outages or performance issues. Mentor junior team members and promote best practices in BI platform administration and engineering. Purpose of the role The BI Admin/Platform Engineer plays a critical role in ensuring the reliability, scalability, and usability of enterprise BI platforms, enabling data-driven decision-making across the organization. By integrating AI capabilities, this role also contributes to smarter, more efficient platform operations and user experiences. Basic Qualifications 5+ years of experience administering Power BI and Tableau platforms. Strong understanding of BI architecture, data modeling, and dashboard performance optimization. Experience in PowerBI Fabric and migration from PBIRS to Fabric Experience in Tableau and migration to Tableau cloud Experience with Azure services including Azure SQL, Azure Data Factory, and Azure Active Directory. Proficiency in scripting languages such as PowerShell, Python, or Bash for automation. Experience with CI/CD tools such as Azure DevOps or GitHub Actions. Familiarity with enterprise data lake/warehouse environments (EDL/EDW). Strong troubleshooting skills and experience with platform monitoring tools. Strong documentation, communication, and presentation skills. Experience working in Agile/Scrum environments Experience in cloud cost-savings plans, reviews, and reserved instances. Ability to positively influence team norms, culture, and technical vision Excellent communication skills with the ability to adapt to the audience Experience in a fast-paced, highly collaborative agile team within a Product-oriented organization. Effective problem-solving, analytical thinking, and a cloud-native and DevOps mindset. Preferred Qualifications Bachelor's/Master's degree in Computer Science, Information Systems, or related field Power BI and Tableau certifications Snowflake SnowPro, Azure, Databricks certifications Experience with cloud services such as Snowflake, Databricks, Azure Data Factory, Event Hub, Functions, Batch, Key Vault, and Log Analytics Strong experience with popular database programming languages such as SQL, PL/SQL, Stored Procedures Experience with Snowflake, Databricks, and other modern data platforms. Knowledge of REST APIs and scripting for platform automation. Familiarity with data governance, metadata management, and self-service BI enablement. Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement. Associates based in Richmond work onsite 5 days per week. Associates based in Plano work onsite 2 days per week. Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will NOT be considered for this specific role.

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.

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.

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 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 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.

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.

🌥️ 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

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

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

Gray Construction is looking to add a Japanese Speaking Project Engineer with a Mechanical Engineering background to their Charlotte, NC or Atlanta, GA office. Responsibilities Why Gray? Gray is a fully integrated, global service provider deeply rooted in engineering, design, and construction, along with smart manufacturing and equipment manufacturing services. Consistently ranked as a leader in the industry, we focus on the following markets for domestic and international customers: Food & Beverage , Manufacturing , Data Centers , Distribution , Commercial and Advanced Technology . Founded in 1960, Gray has grown to encompass a complementary family of brands designed to augment and enhance each other's specialized capabilities without gaps or redundancies. Our robust offering-which includes strategy, operational improvements, construction, extensive engineering, automation & controls, and equipment manufacturing-enables us to create one-of-a-kind solutions at the highest levels of customization, delivering unmatched precision and partnership to some of the world's most sophisticated organizations. Develop, update and monitor job progress using QMS program, including scheduling, estimating and budgeting to ensure that construction of project parallels with schedule. Perform quantity take off(s), cost estimates and bid solicitation. Provide research options and regulation information as required. Purchase and coordinate the delivery of certain materials for the project(s) ensuring optimum prices, quality and conformance to specifications and budget. Reviews and approves invoices and change orders. Negotiate with subcontractors and vendors for specific trades ensuring that all scope is encompassed. Review vendor and subcontractor shop drawing submittals for construction as directed by the supervisor. Relocate to specific job sites (if required) in order to become familiar with procurement and construction practices. Attend weekly job site meetings. Assist in the preparation of various reports to assist in the successful management of the project(s), such as: monthly red files, progress analysis/schedules, billings and status reports. Assist in the organization and maintenance of job files to ensure continuity of work flow. Submit verbal and written reports on project status to supervisor. Communicate effectively with customer, direct consultants and subcontractors on the project(s). Responsible for the communication, implementation and enforcement of Gray's safety program on site. Other duties may be assigned. Qualifications Bachelor's degree from four-year college or university and a minimum of three years related experience. Must possess basic computer skills including the ability to utilize word processing, spreadsheet and e-mail applications. May also require working knowledge of scheduling applications. The new team member should be an energetic, self-motivated individual who enjoys a team environment, as well as a passion for collaboration and professional development. If you are a high achiever striving to exceed expectations in a fast-paced innovative company, then Gray is the place for you. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically present in Birmingham office. Physical Demands & Work Environment The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this position, the team member is frequently required to stand, walk, sit, use hands and arms, reach, and talk or hear. They are regularly required to climb or balance, stoop, kneel, or crouch. Must frequently lift and/or move up to 25 lbs, and occasionally lift or move up to 100 lbs. Specific vision abilities include accurate near and distant vision. Frequently in a normal office environment where noise level is moderate and temperature/humidity is controlled. Occasionally exposed to wet and/or humid conditions, moving mechanical parts, and outside weather conditions. May be exposed to high, precarious places, fumes or airborne particles, extreme cold and/or heat, risk of electrical shock, explosives and vibrations. Noise level on the job site is normally moderate to loud. Overtime may be required. Some travel may be required. Supervisory Responsibilities Indirectly supervises the activities of subcontractors and field personnel. EEO Disclaimer Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

We are a U.S. contractor specializing in mission-critical infrastructure for hyperscale and enterprise data centers. As our projects expand nationwide, we are seeking a skilled Mechanical Commissioning Engineer to support our commissioning team. Role Overview You will lead and execute commissioning activities for mechanical systems on large data center projects, ensuring all equipment operates safely, efficiently, and as designed. Key Responsibilities Commission mechanical systems: CRAH/CRAC units, chillers, pumps, HVAC systems, and controls Develop and execute commissioning plans, checklists, tests, and reports Review design documents, submittals, and O&M materials Coordinate with project teams, contractors, vendors, and clients Perform inspections, start-up verification, troubleshooting, and issue resolution Support IST, SAT, and FAT activities Maintain accurate commissioning documentation and uphold safety standards Required Qualifications Bachelor's in Mechanical Engineering or equivalent experience 3-7+ years in mechanical commissioning, preferably in data centers Strong HVAC, chilled water, and controls knowledge Ability to read mechanical drawings and technical documentation Strong communication and problem-solving skills Willingness to travel nationwide Preferred Qualifications Hyperscale data center experience CxA, CEM, EIT, or PE certification Understanding of integrated commissioning and electrical interfaces Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Project Manager - Commercial & Multifamily Construction Company: Hasen About Us At Hasen, we are schedule-driven builders who believe precision and accountability deliver results. We specialize in large-scale commercial and multifamily construction across Texas and beyond. As a trusted partner to our clients, we pride ourselves on collaboration, innovation, and a relentless focus on delivering projects on time, every time-no task left behind. Summary of Position: The Project Engineer will assist the Project Manger to ensure projects stay on schedule and on budget. They will be responsible for project administration and project documentation. The PE will also engage and supervise subcontractors and staff, and guarantee that all components of the project are in compliance. General Duties & Responsibilities: Reports to Project Manager. Assist Project Manager as required. RFI's Create and Track RFI's in Procore Analyze for Cost and Schedule Impacts Steer RFI to acceptable solution with least cost and time impact Notify Consultants of past due responses Review responses with field team Distribute RFI responses to all pertinent subs and vendors Submittals Create, Distribute and Track Submittals in Procore Request Submittal packages from Subcontractors and Track in Procurement Log Review Submittals for compliance with Plans and Specifications. Notify Consultants of past due responses Coordinate & Review Submittals with Field Team Distribute Submittal responses to all pertinent subs and vendors Sub Change Order Management Review Subcontractor Change Order Requests Ensure costs are not inflated. Compare unit / assembly rates with bids or market rates. Estimate quantities using Bluebeam to verify Subcontractor is accurate Process Sub Change Orders Procurement Log Update and Track all required materials on the project Procurement Log Input dates using Project Construction Schedule Meeting Minutes Resposible for taking and distibuting weekly meeting minutes for assigned projects Milestone Schedule Generate and maintain the Project Milestone Schedule Inspections & Reports Review Review inspection matrix from superintendent and ensure all required inspections have been obtained Review all green cards for inspection compliance Notify superinetendent & field team of any irregularities Closeout Manage closeout process. Job Qualifications: • Strong written/verbal skills and ability to communicate effectively with customers. • Ability to work with computers in word processing and property management software, preferably P6 • Strong prioritization and organizational skills • Ability to multi-task • Design-build experience a plus Job Requirements: • BS or BA in one of the following fields: Civil Engineering, Building Construction, Construction Management, Architecture, Architectural Engineering. • Reliable transportation with a valid state-issued driver's license and current liability vehicle insurance • Report to work on time with a neat and professional appearance and be courteous and pleasant to residents and associates at all times. • Ability to clear a background screen, MVR, and drug test Physical Demands: Inspection of Property will include walking and climbing of stairs. The position may require lifting, carrying, and pushing, pulling 25 lbs. Occasionally, frequently up to 15 lbs. or negligible amounts regularly. Phone usage is also required, as is the need to speak professionally and clearly. EEO Statement: Hasen Design Build is committed to providing Equal Opportunity in Employment to all applicants and employees regardless of race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.