We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you have a strong background in backend development, AI/ML systems, and are passionate about delivering high-quality solutions, this position offers an exciting opportunity to make a meaningful impact.<br><br>Responsibilities:<br>• Architect and implement robust ingestion pipelines to process raw documents into structured Neo4j knowledge graphs.<br>• Develop and refine Python-based microservices using FastAPI to support ingestion and question-answering endpoints.<br>• Optimize retrieval and Q& A workflows to enhance performance, reduce costs, and ensure maintainability.<br>• Investigate and implement approaches for managing conflicting, incomplete, or time-sensitive information.<br>• Collaborate with researchers to integrate experimental AI strategies into production-grade systems.<br>• Maintain high standards of code quality through rigorous testing, documentation, and monitoring.<br>• Scale services from prototypes to fully operational production systems that meet enterprise needs.
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
We are looking for a skilled Senior Software Engineer to design and implement innovative software solutions. This role involves creating scalable systems, optimizing performance, and contributing to cutting-edge technologies, including machine learning and vector databases. Join our team in New York, New York, and help shape the future of software development.<br><br>Responsibilities:<br>• Design and develop scalable software solutions using Python and modern architectural patterns.<br>• Build and maintain distributed systems with a focus on multi-threaded programming.<br>• Develop and integrate RESTful APIs to ensure seamless communication between applications.<br>• Optimize data storage and retrieval using MongoDB and Redis.<br>• Explore and implement vector databases such as pgvector and timescale.<br>• Collaborate on machine learning initiatives, including the application of large language models (LLMs).<br>• Utilize cloud platforms like Amazon Web Services (AWS) to enhance system performance and scalability.<br>• Conduct thorough testing and debugging to ensure high-quality software delivery.<br>• Stay updated on emerging technologies to drive innovation within the team.
We are looking for an experienced Data Scientist / AI Engineer to join our team in Raleigh, North Carolina. This Contract-to-permanent position offers an exciting opportunity to work on cutting-edge projects involving machine learning, artificial intelligence, and advanced data solutions. The ideal candidate will bring a strong technical background, innovative problem-solving skills, and a passion for leveraging data to drive impactful results.<br><br>Responsibilities:<br>• Design and implement complex Python applications, ensuring scalability and reliability.<br>• Develop and optimize machine learning models, including those based on large language models (LLMs).<br>• Utilize serverless architectures and Amazon Web Services (AWS) to build and deploy data solutions.<br>• Work with chains and vector databases to solve multifaceted problems and enhance data processing capabilities.<br>• Perform ETL processes to transform and load data efficiently while maintaining data integrity.<br>• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.<br>• Analyze large datasets to extract actionable insights and build predictive models.<br>• Maintain and improve existing data pipelines and frameworks to ensure optimal performance.<br>• Stay updated on emerging trends in AI and machine learning to incorporate best practices into projects.
<p>We are seeking a highly skilled and innovative Senior Full- Stack AI / LLM Engineer to join our team and lead the development of cutting-edge AI solutions. This role focuses on building intelligent systems using large language models (LLMs), generative image models, and multimodal AI technologies. You will work across the stack—from model integration and orchestration to deployment and automation—helping us deliver scalable, production-grade AI applications.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy Python-based microservices and APIs for AI-powered applications.</li><li>Integrate and fine-tune LLMs from providers such as OpenAI, Anthropic, Meta, and Mistral.</li><li>Build Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex.</li><li>Implement semantic search and vector database solutions using Pinecone, Weaviate, Chroma, Milvus, or Supabase.</li><li>Develop and integrate TTS/STT systems using tools like OpenAI Whisper, Coqui TTS, and ElevenLabs.</li><li>Work with generative image models including GPT-Image-1, Stable Diffusion, and ComfyUI.</li><li>Automate workflows using orchestration platforms such as n8n, Make, or Zapier.</li><li>Deploy AI services on cloud platforms (GCP, AWS, or Azure) with scalability and reliability in mind.</li><li>Apply prompt engineering best practices to optimize model performance and output quality.</li><li>Collaborate with cross-functional teams including product, design, and data science to deliver impactful AI features.</li></ul>
<p>We are looking for an experienced Systems Engineer to join our team in Panyesville, Minnesota. In this role, you will lead initiatives to design, implement, and maintain cutting-edge infrastructure solutions while mentoring a team of experienced professionals. </p><p><br></p><p>Responsibilities:</p><p>• Lead the development and implementation of enterprise infrastructure solutions, including servers, storage, networking, virtualization, and cloud technologies.</p><p>• Provide technical guidance and support to the Systems Support team, addressing escalated issues and ensuring efficient task management.</p><p>• Oversee infrastructure and AI-related projects, ensuring alignment with organizational goals and strategies.</p><p>• Design and implement infrastructure to support AI initiatives, including data pipelines, model training, and inference workloads.</p><p>• Collaborate with cross-functional teams to deploy and maintain AI tools, APIs, and services such as machine learning platforms and computer vision systems.</p><p>• Ensure the creation and upkeep of technical documentation and standard operating procedures.</p><p>• Mentor team members to enhance their technical expertise and accountability while facilitating proper onboarding and training.</p><p>• Maintain server and security configurations in compliance with industry standards and best practices.</p><p>• Plan and execute the installation, configuration, and testing of hardware, software, and system management tools.</p><p>• Promote proactive system management practices, including monitoring, patching, and endpoint configuration.</p>
<p>We’re seeking a dynamic Video Analytics Engineer to join a forward-thinking Smart City initiative as a contractor. This role focuses on developing advanced computer vision solutions that enhance urban living through intelligent video analytics and automation.</p><p>Key Responsibilities</p><ul><li>Support setup, configuration, and management of video camera systems, including instrumentation and security.</li><li>Evaluate third-party computer vision tools and libraries to drive innovation.</li><li>Implement algorithms for object tracking, anomaly detection, and scene recognition.</li><li>Optimize performance and reliability of real-time video workflows.</li><li>Integrate machine learning models with enterprise video management systems and workflow engines.</li><li>Design and deploy scalable computer vision solutions for Smart City use cases.</li><li>Collaborate with cross-functional stakeholders across public safety, transportation, infrastructure, and operations to align technology with community needs.</li></ul><p><br></p><p><br></p>
We are looking for a skilled Senior Data Scientist to join our team on a long-term contract basis in Las Vegas, Nevada. This role requires a deep understanding of advanced analytics and machine learning techniques to drive business success through actionable insights and innovative solutions. You will play a key role in developing models, optimizing processes, and guiding team members to ensure excellence in data-driven decision-making.<br><br>Responsibilities:<br>• Lead complex projects from initial concept through implementation, ensuring measurable business impact.<br>• Develop advanced models for profitability, forecasting, and demand optimization using econometrics and machine learning techniques.<br>• Design and evaluate A/B and multivariate experiments to assess the effectiveness of business initiatives.<br>• Create dashboards, visualizations, and automated reports to communicate insights effectively.<br>• Analyze and validate data integrity, addressing issues such as endogeneity, heteroskedasticity, and autocorrelation.<br>• Identify and implement optimization strategies to drive incremental profit growth.<br>• Provide guidance to team members in data wrangling, model validation, and effective communication of findings.<br>• Research and utilize emerging technologies, including machine learning and generative AI, to enhance analytical capabilities.<br>• Employ cloud platforms such as Databricks for scalable data processing and deployment.
<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
<p>On behalf of our client in the financial industry, Robert Half is seeking a skilled Data Scientist to analyze large datasets, develop predictive models, and provide actionable insights to drive business decisions. In this role, you will work with structured and unstructured data, applying statistical analysis, machine learning algorithms, and data visualization techniques to solve complex problems. The ideal candidate will have a strong foundation in data analysis, programming (Python, R), experience working with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure); they will also have a background in financial industries.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze complex datasets to extract meaningful insights and trends.</li><li>Develop and implement machine learning models to solve business challenges.</li><li>Collaborate with cross-functional teams to identify data-driven solutions.</li><li>Create clear and insightful visualizations to communicate findings.</li><li>Continuously improve data collection and processing methods.</li></ul><p><br></p>
<p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
<p>We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.</li><li>Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.</li><li>Define the roadmap for Data Lake development, ensuring efficient data storage and processing.</li><li>Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.</li><li>Work with Python and PySpark to process large-scale data efficiently.</li><li>Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.</li><li>Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.</li><li>Drive innovation and cost optimization in data architecture and cloud infrastructure.</li><li>Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices.</li></ul>
<p>We are seeking a <strong>Senior Data Engineer</strong> with strong experience in <strong>Azure cloud technologies</strong> to join our team. This individual will play a key role in designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting.</p><p><strong>Responsibilities</strong></p><ul><li>Design and implement scalable data pipelines, ETL/ELT processes, and data integration workflows using Azure Data Factory and related tools.</li><li>Manage and optimize cloud-based data platforms including <strong>Azure Data Lake, Azure SQL Database, and Synapse Analytics</strong>.</li><li>Collaborate with business analysts, data scientists, and application developers to translate requirements into reliable data solutions.</li><li>Ensure data accuracy, quality, and security across all environments.</li><li>Implement and manage CI/CD pipelines for data solutions.</li><li>Support performance tuning, troubleshooting, and optimization of large-scale data workloads.</li><li>Document architecture, workflows, and data models to ensure knowledge transfer and transparency.</li></ul><p><br></p>
We are looking for a Senior Data Engineer with deep expertise in Palantir Foundry to design and implement robust data infrastructures that drive strategic decision-making. In this pivotal role, you will collaborate across teams to develop scalable solutions that unlock the full potential of data for operational and business success. If you thrive in fast-paced environments and enjoy solving complex problems, this position offers an exciting opportunity to make a significant impact.<br><br>Responsibilities:<br>• Design and develop scalable Ontology models, data pipelines, and operational solutions using Palantir Foundry.<br>• Collaborate with cross-functional teams to gather requirements and transform them into secure, high-quality data assets.<br>• Identify opportunities for leveraging data to drive operational efficiencies and strategic decision-making.<br>• Build and maintain data pipelines that support analytics, automation, and other business-critical functions.<br>• Ensure data integrity and availability through proactive validation, monitoring, and troubleshooting.<br>• Provide actionable insights to stakeholders by creating innovative and reliable data services.<br>• Troubleshoot and resolve issues in production and pre-production data systems.<br>• Develop internal tools to streamline deployment automation and enhance platform performance.
<p><strong>About the Role:</strong></p><p> We are looking for a <strong>Sr. BI Developer</strong> to join our data and analytics team. This role is perfect for someone who is passionate about turning data into actionable insights, building scalable BI solutions, and leveraging modern tools like <strong>Power BI, Python, and Microsoft Fabric</strong> to drive decision-making across the organization. You will partner with business stakeholders, data engineers, and analysts to design, develop, and optimize enterprise reporting and analytics solutions.</p><p><strong>What You’ll Do:</strong></p><ul><li>Design and develop advanced <strong>Power BI dashboards and reports</strong> that provide meaningful insights and support strategic initiatives.</li><li>Use <strong>Python</strong> for data wrangling, automation, and advanced analytics.</li><li>Work with <strong>Microsoft Fabric</strong> to design and optimize scalable data models and pipelines.</li><li>Collaborate with business users to gather requirements, translate them into technical solutions, and deliver high-quality BI products.</li><li>Implement and maintain best practices for BI development, data visualization, and performance tuning.</li><li>Ensure data accuracy, consistency, and security across reporting platforms.</li><li>Mentor junior developers and contribute to BI standards and governance frameworks.</li></ul><p><br></p>
<p>We’re seeking an experienced <strong>Sr. Software Engineer</strong> with a strong background in <strong>C#, .NET, and Azure cloud technologies</strong> to join our growing engineering team. This individual will play a key role in designing, developing, and delivering scalable, secure, and high-performing applications that support critical business functions. If you’re passionate about modern cloud architecture, engineering excellence, and building innovative solutions, we’d love to talk to you.</p><p><strong>What You’ll Do:</strong></p><ul><li>Design, develop, and maintain enterprise-level applications using <strong>C# and .NET Core/Framework</strong>.</li><li>Leverage the <strong>Azure ecosystem</strong> (App Services, Functions, Service Bus, SQL Database, Cosmos DB, Key Vault, etc.) to architect and optimize solutions.</li><li>Build and integrate <strong>RESTful APIs</strong> for internal and external applications.</li><li>Collaborate with product managers, architects, and other engineers to define technical requirements and implement best practices.</li><li>Ensure software is scalable, maintainable, and aligned with security and compliance standards.</li><li>Participate in code reviews, mentoring junior developers, and driving engineering excellence.</li><li>Troubleshoot, debug, and optimize application performance in production and cloud environments.</li></ul><p><br></p>
<p>Job Summary:</p><p><br></p><p>We are seeking a skilled and motivated System Engineer to join our team in New York City. As a System Engineer, you will be responsible for maintaining and optimizing our IT infrastructure, ensuring the smooth operation of our systems, and providing technical support to end-users. The ideal candidate should have 5+ years of experience in system administration, with a strong focus on Azure, Windows, Active Directory, VMware, Barracuda Backups Appliance, SAN Nimble storage, and MFT/SFTP technologies.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p><br></p><p>Manage and maintain the company's IT infrastructure, including servers, storage systems, network devices, and related components.</p><p>Monitor and troubleshoot system performance, ensuring high availability and reliability of all systems.</p><p>Configure and administer Azure cloud services, including virtual machines, storage, networking, and security.</p><p>Oversee the Windows server environment, including installation, configuration, and maintenance of servers and services.</p><p>Manage Active Directory, including user accounts, group policies, security permissions, and domain services.</p><p>Perform virtualization tasks using VMware, including server provisioning, virtual machine management, and troubleshooting.</p><p>Administer and monitor Barracuda Backups Appliance for data backup and recovery operations.</p><p>Maintain and support SAN Nimble storage systems, ensuring optimal performance and availability.</p><p>Collaborate with cross-functional teams to implement and maintain secure file transfer protocols (MFT) and secure file transfer protocol (SFTP) solutions.</p><p>Perform system upgrades, patches, and security updates in accordance with industry best practices.</p><p>Provide technical support to end-users, resolving issues related to hardware, software, and network connectivity.</p><p>Create and maintain documentation related to system configurations, procedures, and troubleshooting guides.</p><p><br></p><p><br></p><p><br></p>
<p>Quite possibly the most REWARDING DevOps Engineering role that the Tampa, FL and Orlando, FL market can possibly offer. No, it's TRUE. If you meet the requirements, apply and find out for yourself. Local candidates to the Tampa, FL and Orlando, FL Metro areas will be the only candidates considered due to our client's requirement of meeting in the Lakeland, FL office 3 to 5 times per month. MAJORITY REMOTE ROLE w/in the Lakeland, FL area. </p><p><br></p><p>MUST HAVE Azure Kubernetes Services (AKS), Powershell scripting, Bash scripting, Terraform, Github Actions, and Kubernetes under your technical tool belt as a proven professional. </p><p><br></p><p>We are seeking a passionate and technically savvy mid to Sr level Azure DevOps Engineer to join a small yet dynamic DevOps Engineering Team. The ideal candidate will have a strong background in DevOps practices, with a focus on Microsoft Azure, Kubernetes, and CI/CD pipeline implementation. You will play a critical role in designing, implementing, and maintaining cloud infrastructure to support scalable, secure, and highly available applications.</p><p><br></p><p>Responsibilities</p><p>• Design, build, and maintain CI/CD pipelines using Azure DevOps for automated code deployment and testing.</p><p>• Manage and optimize Azure-based infrastructure, including Azure Kubernetes Service (AKS), to ensure high availability and scalability.</p><p>• Implement and manage containerized applications using Docker and Kubernetes.</p><p>• Collaborate with development and operations teams to streamline software delivery processes and improve system reliability.</p><p>• Monitor, troubleshoot, and optimize cloud infrastructure performance, ensuring security and compliance best practices.</p><p>• Automate infrastructure provisioning and configuration using tools like Terraform, ARM templates, or similar.</p><p>• Mentor junior engineers and provide technical guidance on DevOps best practices.</p><p>• Stay up-to-date with emerging Azure services and DevOps trends to drive continuous improvement.</p><p><br></p>
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
<p>The Data Engineer will support our Data Analytics team in building our analytics products. This role will be responsible for adding features to our production data pipeline and performing ad-hoc analysis of raw and processed data. The ideal candidate will have experience building and optimizing data pipelines and enjoys learning and working with cutting edge technologies.</p><p><br></p>
<p><strong> AWS Data Engineer</strong></p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking a skilled IT Data Integration Engineer / AWS Data Engineer to join our team and lead the development and optimization of data integration processes. This role is critical to ensuring seamless data flow across systems, enabling high-quality, consistent, and accessible data to support business intelligence and analytics initiatives. This is a long-term contract role in Southern California.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and Maintain Data Integration Solutions</li><li>Design and implement data workflows using AWS Glue, EMR, Lambda, and Redshift.</li><li>Utilize PySpark, Apache Spark, and Python to process large datasets.</li><li>Ensure accurate and efficient ETL (Extract, Transform, Load) operations.</li></ul><p>Ensure Data Quality and Integrity</p><ul><li>Validate and cleanse data to maintain high standards of quality.</li><li>Implement monitoring, validation, and error-handling mechanisms.</li></ul><p>Optimize Data Integration Processes</p><ul><li>Enhance performance and scalability of data workflows on AWS infrastructure.</li><li>Apply data warehousing concepts including star/snowflake schema design and dimensional modeling.</li><li>Fine-tune queries and optimize Redshift performance.</li></ul><p>Support Business Intelligence and Analytics</p><ul><li>Translate business requirements into technical specifications and data pipelines.</li><li>Collaborate with analysts and stakeholders to deliver timely, integrated data.</li></ul><p>Maintain Documentation and Compliance</p><ul><li>Document workflows, processes, and technical specifications.</li><li>Ensure adherence to data governance policies and regulatory standards.</li></ul>
Position: AWS Cloud Engineer<br>Location: Fully Remote<br>Salary: up to $135,000<br><br>Are you a cloud-savvy engineer with a passion for automation, scalability, and secure infrastructure? <br>Join a forward-thinking organization as an AWS Cloud Engineer, where you'll play a pivotal role in building and maintaining cloud-native solutions that power high-impact platforms across the country.<br>This is your chance to work alongside talented software engineers, TechOps, and security professionals in a collaborative environment that values innovation, ownership, and continuous improvement.<br><br>What You’ll Do<br>• Architect, implement, and manage scalable infrastructure in Amazon Web Services (AWS)<br>• Build and maintain CI/CD pipelines using tools like GitHub Actions<br>• Develop infrastructure-as-code using Terraform or AWS CloudFormation<br>• Automate provisioning, deployments, and configuration management<br>• Manage VPCs, IAM, security groups, load balancers, and cloud-native services<br>• Implement proactive monitoring, logging, and alerting for performance and security<br>• Collaborate with developers to create a seamless, developer-friendly cloud platform<br>• Support incident response and root cause analysis<br>What You Bring<br>• 5+ years of experience in cloud engineering and DevOps<br>• Deep expertise in AWS infrastructure and services<br>• Proficiency in Python scripting<br>• Experience with CI/CD, infrastructure-as-code, and automation tools<br>• Familiarity with Docker, Kubernetes, ECS, or EKS<br>• Solid understanding of networking concepts, DNS, firewalls, and VPNs<br>• Comfortable working with Windows/Linux operating systems<br>Requirements<br>• Must be a U.S. Citizen<br>• Minimum of 3–4 years of experience in relevant roles<br>• Stable work history <br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***
<p>Are you a tech-savvy problem solver with a passion for cloud infrastructure and identity access management? Do you thrive in a collaborative, mentorship-driven environment where cultural fit and team dynamics are just as valued as technical expertise? If so, we have an exciting opportunity for you!</p><p> </p><p>Our Oakland-based client is seeking a contract-to-hire Senior IT Infrastructure Engineer to join their dynamic team in a fully remote capacity (need to work PST hours). This role is perfect for a tech enthusiast with a strong background in cloud infrastructure, identity management, and a knack for fostering teamwork and knowledge sharing.</p><p> </p><p>Key Responsibilities:</p><p>-Take ownership of Okta Identity Access Management (IAM) systems, including managing workflows, device trust, SSO, and authentication policies to ensure secure and seamless operations.</p><p>-Oversee and optimize Azure cloud infrastructure and contribute expertise in designing, implementing, and managing related systems. Familiarity with AWS and networking concepts such as VPCs and network gateways will also be helpful.</p><p>-Manage and support VMware and server environments, though the primary focus will be cloud-based systems. On-premise responsibilities will largely pertain to office IT services.</p><p>-Collaborate with the team to ensure proper SaaS integrations, identifying opportunities for enhanced functionality and efficiency.</p><p> </p><p>What We’re Looking For:</p><p>-Deep technical skills: You have robust experience with Okta IAM and Azure cloud infrastructure and working knowledge of AWS. Expertise in networking concepts and VMware adds to your strong technical foundation.</p><p>-Team player: You value collaboration and are willing to mentor and share knowledge with your teammates. The ability to maintain a positive, open, and inclusive work environment is key.</p><p>-Excellent communication: Your ability to clearly and enthusiastically communicate complex technical concepts helps the entire team learn and grow together.</p><p>-Adaptability and enthusiasm: You have a positive attitude, a passion for problem-solving, and the drive to contribute positively to the company’s mission and culture.</p><p> </p><p>Nice to Haves:</p><p>-Experience with SaaS integrations (bonus points, but not required).</p><p> </p><p>Why Join This Team?</p><p>The team culture is incredibly collaborative, fostering mentorship and openness at all times. The current team member going on leave is a vital mentor, so they’re looking for someone who will not only hit the ground running but also contribute to maintaining the spirit of support and mutual learning.</p><p> </p><p>If you’re ready to bring your expertise in IT infrastructure and thrive in a team-oriented, mentorship-driven environment, we’d love to hear from you!</p><p> </p><p>Apply today to jumpstart the next exciting chapter in your IT career</p>
<p>We are looking for a talented and driven Google Cloud Engineer to join our IT team. In this role, you will be responsible for designing, implementing, and managing cloud infrastructure using Google Cloud Platform (GCP). The ideal candidate will possess hands-on experience with cloud technologies, have a strong grasp of GCP services, and be dedicated to optimizing cloud environments for scalability, security, and performance.</p><p>Key Responsibilities:</p><p> </p><p><strong>Cloud Infrastructure Design & Deployment:</strong></p><ul><li>Design, deploy, and manage secure, scalable, and reliable cloud environments using various GCP services including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, and BigQuery.</li></ul><p><strong>Automation & DevOps Practices:</strong></p><ul><li>Automate infrastructure provisioning, configuration, and deployments using tools such as Helm.</li><li>Develop and maintain CI/CD pipelines using Cloud Build, Jenkins, or other similar tools.</li></ul><p><strong>Performance Optimization:</strong></p><ul><li>Monitor cloud performance, suggest improvements, and optimize cloud resources to maintain cost-efficiency while ensuring high performance.</li></ul><p><strong>Security & Compliance:</strong></p><ul><li>Implement best practices for cloud security, including IAM roles, firewalls, encryption, VPCs, and data protection mechanisms.</li><li>Address compliance requirements for data storage and processing within cloud environments.</li></ul><p><strong>Collaboration & Troubleshooting:</strong></p><ul><li>Work with development, architecture, and cross-functional teams to provide technical expertise in designing cloud-based solutions.</li><li>Diagnose and resolve issues related to GCP infrastructure in a timely manner.</li></ul><p><strong>Cloud Cost Management:</strong></p><ul><li>Track and manage cloud expenditures by analyzing usage patterns and implementing cost-saving strategies.</li><li>Utilize native cost management tools within GCP to oversee budgets and resource consumption.</li></ul><p><strong>Documentation & Knowledge Sharing:</strong></p><ul><li>Create documentation for cloud architecture, processes, and best practices.</li><li>Provide training and mentorship to team members on Google Cloud technologies.</li></ul><p><strong>Innovation & Continuous Learning:</strong></p><ul><li>Stay informed on the latest developments in Google Cloud technologies and industry best practices.</li><li>Recommend and adopt new tools or technologies to streamline cloud operations.</li></ul><p><br></p><p><br></p>
