<p>We are seeking a skilled Azure Cloud Engineer to design, implement, and maintain cloud infrastructure and services on the Microsoft Azure platform. This role will focus on building scalable, secure, and highly available cloud solutions, while supporting deployment automation, monitoring, and optimization of cloud resources. The Azure Cloud Engineer will collaborate closely with development, operations, and security teams to ensure cloud infrastructure aligns with business objectives.</p><p> </p><p>Key Responsibilities</p><ul><li>Design, deploy, and manage Azure-based cloud infrastructure, including virtual machines, storage, networking, and platform services</li><li>Implement Infrastructure as Code (IaC) using ARM templates, Terraform, or Ansible to automate provisioning and configuration</li><li>Configure and maintain Azure DevOps pipelines for CI/CD, release automation, and deployment of applications</li><li>Monitor cloud infrastructure using Azure Monitor, Application Insights, and Log Analytics</li><li>Optimize performance, cost, and scalability of cloud resources</li><li>Ensure security, compliance, and governance across cloud environments</li><li>Deploy and manage containerized applications using Azure Kubernetes Service (AKS), Docker, or other container platforms</li><li>Troubleshoot and resolve cloud infrastructure issues, ensuring high availability and reliability</li><li>Collaborate with cross-functional teams to support cloud migration, hybrid cloud, and digital transformation initiatives</li><li>Stay current with Azure updates, cloud best practices, and emerging cloud technologies</li></ul><p><br></p>
We are looking for an experienced Cloud Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will play a pivotal part in designing, implementing, and maintaining cloud-based solutions that drive business efficiency and scalability. If you have a strong background in cloud technologies and a passion for optimizing systems, we encourage you to apply.<br><br>Responsibilities:<br>• Develop and manage cloud infrastructure using AWS technologies, ensuring high availability and scalability.<br>• Implement and maintain automated deployment processes using Ansible.<br>• Configure and optimize Amazon EC2 instances and Auto Scaling groups for performance and cost efficiency.<br>• Monitor and troubleshoot cloud environments to ensure seamless operation.<br>• Collaborate with cross-functional teams to design cloud architectures tailored to business needs.<br>• Conduct regular system performance evaluations and recommend improvements.<br>• Ensure compliance with security protocols and best practices in cloud operations.<br>• Document processes and provide training to team members as needed.<br>• Assist in disaster recovery planning and execution for cloud-based systems.
We are looking for a skilled Deployment Technician to join our team in Towson, Maryland, for a long-term contract position. In this role, you will play a vital part in ensuring the smooth deployment and setup of laptops while adhering to established procedures. This opportunity is ideal for professionals with a background in desktop support who excel in both hardware and software troubleshooting.<br><br>Responsibilities:<br>• Prepare and configure 15-20 laptops daily, ensuring each device meets company standards.<br>• Follow detailed standard operating procedures (SOPs) to complete deployment tasks effectively.<br>• Perform basic troubleshooting to resolve hardware-related issues during the setup process.<br>• Identify and address common software problems to ensure seamless functionality.<br>• Utilize deployment tools to streamline the imaging and installation process.<br>• Maintain accurate records of completed deployments and report progress to supervisors.<br>• Collaborate with team members to ensure timely completion of deployment projects.<br>• Provide technical assistance and support as needed during the rollout process.<br>• Inspect and test devices to confirm proper operation before delivery.<br>• Adhere to deadlines and prioritize tasks to meet project goals.
<p><strong>Overview</strong></p><p>Our client is implementing HubSpot for the first time and is seeking a <strong>HubSpot Engineering Expert/SME</strong> to support the initial stand‑up, integration design, and validation efforts. This role is critical due to client's operating on a <strong>custom-built ERP platform</strong> with a <strong>SQL Server / C# backend</strong>, requiring <strong>custom HubSpot integrations</strong> that go beyond out‑of‑the‑box capabilities.</p><p>The internal development team will handle the core programming work. This consultant will provide <strong>HubSpot technical leadership</strong>, owning <strong>integration design, data modeling guidance, and testing strategy</strong>, with a strong understanding of HubSpot’s backend data schema and APIs.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the <strong>HubSpot technical SME</strong> for initial implementation and ongoing support</li><li>Lead the <strong>design and validation</strong> of integrations between HubSpot and a <strong>custom ERP system</strong></li><li>Advise on HubSpot data architecture, including:</li><li>Object modeling</li><li>Property strategy</li><li>Required field mapping</li><li>Data sync rules and dependencies</li><li>Partner with internal engineers integrating HubSpot with:</li><li>Custom REST APIs</li><li>SQL Server database</li><li>C# backend services</li><li>Ensure HubSpot data feeds reliably into <strong>key required fields</strong> within the ERP system</li><li>Support HubSpot configuration decisions during initial setup</li><li>Assist with <strong>integration testing, troubleshooting, and refinement</strong></li><li>Act as an ongoing HubSpot resource for future enhancements and support needs</li></ul><p><br></p>
<p>We are seeking an experienced MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will collaborate closely with data scientists, platform engineers, and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML/data platforms.</p><p>The ideal candidate brings strong hands-on expertise across the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production-grade data pipelines.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement end-to-end ML pipelines for ingestion, feature engineering, training, validation, deployment, and monitoring.</p><p>· Deploy and manage ML models in production across AWS, Azure, and Snowflake ecosystems.</p><p>· Build batch and real-time inference pipelines using cloud-native and platform-native services.</p><p>· Automate model packaging, testing, releases, and rollback using CI/CD best practices.</p><p>· Integrate ML workflows with AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake.</p><p>· Build and maintain orchestration workflows using Airflow, Azure Data Factory, or similar tools.</p><p>· Implement experiment tracking, model registries, and model governance processes.</p><p>· Monitor model accuracy, drift, latency, throughput, pipeline performance, and infrastructure usage.</p><p>· Establish advanced deployment strategies (canary, shadow, blue-green, rollback).</p><p>· Collaborate with cross-functional teams to transition models from research to production.</p><p>· Ensure security, compliance, traceability, and access control for ML systems and data.</p><p>· Optimize platform reliability, performance, and cost across AWS, Azure, and Snowflake.</p>
We are looking for an experienced Cloud Security Engineer to join our team in New York, New York. In this role, you will play a critical part in safeguarding cloud-based infrastructure by deploying, managing, and maintaining security tools and solutions. You will proactively monitor systems for threats, respond to incidents, and collaborate with stakeholders to enhance the overall security posture of cloud environments.<br><br>Responsibilities:<br>• Install, configure, and maintain advanced security solutions to protect cloud-based systems and networks.<br>• Monitor infrastructure to detect and respond to unusual activities, intrusions, or security breaches.<br>• Conduct thorough investigations of security alerts and incidents, ensuring timely and effective resolutions.<br>• Perform risk assessments and vulnerability scans, recommending strategies to mitigate potential threats.<br>• Collaborate with teams to implement and manage security tools tailored to cloud environments.<br>• Develop and enforce policies, procedures, and guidelines to ensure compliance with security standards.<br>• Stay updated on emerging threats and vulnerabilities, adapting security measures as needed.<br>• Create detailed reports and documentation on incidents, findings, and recommendations for stakeholders.<br>• Conduct audits and reviews of cloud infrastructure to identify and address security gaps.<br>• Support compliance initiatives and ensure adherence to industry regulations and standards.
<p><strong>Job Title:</strong> Full-Stack Software Developer</p><p><strong>Location:</strong> Bergen County, New Jersey (Hybrid or Onsite Options Available)</p><p><br></p><p>We are seeking a skilled <strong>Full-Stack Software Developer</strong> to help build and maintain high-performance web applications across both backend systems and user-facing interfaces. The ideal candidate will have a strong technical foundation, a proactive mindset, and a willingness to take ownership of projects from concept through deployment.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain full-stack web applications using <strong>ASP.NET, .NET Core, C#, SQL, and Entity Framework</strong></li><li>Develop and maintain <strong>RESTful APIs</strong> and backend services that support internal and external applications</li><li>Build and enhance responsive front-end interfaces using <strong>Angular and NGRX</strong></li><li>Integrate front-end components with backend APIs and services to deliver seamless user experiences</li><li>Collaborate with cross-functional teams to define requirements, system architecture, and technical solutions</li><li>Write clean, maintainable, and well-documented code across both front-end and back-end components</li><li>Participate in <strong>code reviews</strong> and help improve development standards and best practices</li><li>Troubleshoot and resolve issues across the full application stack, including database, API, and UI layers</li><li>Contribute to <strong>Agile development processes</strong>, including sprint planning, standups, and retrospectives</li></ul><p><br></p><p><br></p>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>
We are looking for a skilled Desktop Support Engineer to join our team in New York, New York. In this long-term contract role, you will provide technical assistance and support to ensure smooth operations within an investment banking environment. This position is ideal for someone with strong troubleshooting abilities, excellent communication skills, and a proactive approach to problem-solving.<br><br>Responsibilities:<br>• Provide technical support to end-users, including troubleshooting hardware, software, and connectivity issues.<br>• Manage user accounts, groups, and devices using Active Directory.<br>• Administer Office 365 licenses, users, and groups, ensuring efficient functionality.<br>• Perform basic device and user management tasks using Microsoft Intune.<br>• Organize and maintain IT equipment, including setting up devices and connecting cables.<br>• Respond to service desk tickets promptly and resolve issues effectively.<br>• Collaborate with team members to identify and resolve recurring technical problems.<br>• Ensure all IT systems meet organizational standards and are properly maintained.<br>• Communicate with stakeholders to provide updates and solutions regarding technical challenges.<br>• Document resolutions and best practices for future reference.
<p>We are looking for an experienced Azure Cloud Engineer to join our team North Houston. In this role, you will leverage your expertise to manage cloud infrastructure, ensure system reliability, and collaborate with team members on key projects. This position requires a strong background in Azure administration and Infrastructure as Code (IaC) tools, along with a commitment to delivering high-quality solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage Azure cloud infrastructure to support business needs.</p><p>• Utilize tools such as Terraform and Ansible to develop and maintain Infrastructure as Code (IaC) solutions.</p><p>• Collaborate with team members to maintain Office 365, Exchange Online, Intune, and Active Directory systems.</p><p>• Ensure the scalability and reliability of cloud-based systems by implementing auto-scaling solutions.</p><p>• Regularly assess and optimize cloud environments to enhance performance and security.</p><p>• Provide on-site support five days a week, with half-day Fridays.</p><p>• Travel to Midland quarterly to participate in team collaborations and align on project objectives.</p><p>• Maintain documentation for cloud processes and configurations to ensure clarity and compliance.</p><p>• Work closely with stakeholders to identify and address technical challenges.</p><p>• Support and contribute to the development of cloud strategies aligned with organizational goals.</p>
We are looking for an Endpoint Systems Engineer to play a key role in enhancing operational efficiency and supporting endpoint systems across the organization. This position requires a strong technical background, excellent problem-solving skills, and the ability to work both independently and collaboratively in a dynamic environment. This is a long-term contract position based in Ankeny, Iowa.<br><br>Responsibilities:<br>• Design, develop, and test automation processes for endpoint systems to ensure scalability and adaptability to organizational growth.<br>• Create, test, and deploy Microsoft PowerShell and batch scripts to install and update proprietary and third-party software.<br>• Implement and maintain processes to ensure software and settings are applied during endpoint replacements or initial installations.<br>• Develop redundancy strategies to ensure system reliability and minimize downtime.<br>• Collaborate in the design and implementation of operational and information support systems.<br>• Evaluate and qualify software used at store locations, including modifications to third-party vendor applications.<br>• Create scripts, programs, and tools to optimize system efficiency and automate repetitive tasks.<br>• Monitor and analyze endpoint system performance to identify and address issues proactively.
We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance.<br><br>Responsibilities:<br>• Develop and implement scalable data engineering solutions using Python and Databricks.<br>• Collaborate with cross-functional teams to design and optimize data workflows.<br>• Migrate and enhance existing Python scripts to Databricks for improved functionality.<br>• Utilize cloud technologies to support data integration and analytics processes.<br>• Implement algorithms and data visualization methods to present actionable insights.<br>• Design and maintain APIs to streamline data interactions and integrations.<br>• Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems.<br>• Perform data analysis and develop strategies to improve system efficiency.<br>• Ensure high-quality data pipelines and address performance bottlenecks.<br>• Stay updated on emerging trends in data engineering and recommend innovative solutions.
<p><strong>DevOps Engineer II </strong></p><p><strong>Service Type:</strong> 10-Month Contract, Potential for Extension </p><p><strong>Location: </strong>Onsite Philadelphia, PA </p><p><strong>On‑Call Rotation:</strong> Every 11–13 days (24-hour primary on-call; after 7:00 PM ET escalations handled by an offshore team)</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>DevOps Engineer II</strong> to support a large-scale, distributed network platform operating in a 24x7 production environment. This role focuses on system and network operations, platform stability, incident mitigation, and change management. The engineer will follow established operational processes while collaborating with engineering and product teams to improve reliability, performance, and automation.</p><p><strong>Key Responsibilities</strong></p><ul><li>Support platform stand-up, software installation, and ongoing system and network maintenance</li><li>Perform change implementations including system upgrades, hardware replacement (RMA), and automation efforts</li><li>Troubleshoot Linux, network, and system hardware issues in a production environment</li><li>Participate in on-call rotation and incident mitigation for highly available systems</li><li>Identify recurring issues and partner with development teams on long-term solutions</li><li>Support virtualization-based network platforms and follow existing operational procedures</li><li>Collaborate with product and project teams to operationalize new technologies</li><li>Promote and follow established operational, quality, and reliability standards</li></ul>
<p><strong>Overview</strong></p><p>We are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.</p><p>The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering & Migration</strong></p><ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul><p><strong>Development & Infrastructure</strong></p><ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul><p><strong>Quality, Documentation & Support</strong></p><ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul><p><br></p>
<p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>
We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions.<br><br>Responsibilities:<br>• Redesign and optimize complex business logic embedded in Postgres functions to improve functionality.<br>• Develop scalable database schemas and create data models that are optimized for analytics and AI applications.<br>• Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently.<br>• Build and maintain production-grade data pipelines from data ingestion to end-user consumption.<br>• Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines.<br>• Troubleshoot and resolve data-related and performance issues directly in production environments.<br>• Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
<p>We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization.</p><p><br></p><p><strong>Technical Leadership</strong></p><ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul><p><strong>Team & Cross-Functional Leadership</strong></p><ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul><p><strong>Operational Excellence</strong></p><ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul><p><br></p>
<p><strong>***For immediate response please email Valerie Nielsen***</strong></p><p><br></p><p><strong>Job Title:</strong> Machine Learning Engineer / Data Engineer</p><p> <strong>Location:</strong> Culver City, CA (Onsite 4 days per week)</p><p> <strong>Compensation:</strong> $200,000 Base + Bonus/Equity (if applicable)</p><p><strong>Overview</strong></p><p> We are seeking a <strong>Machine Learning Engineer / Data Engineer</strong> to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.</p><p>The ideal candidate has experience building <strong>data and ML platforms used across an organization</strong>, and enjoys working at the intersection of <strong>data engineering, machine learning infrastructure, and production AI systems</strong>.</p><p><strong>Responsibilities</strong></p><ul><li>Design and build <strong>scalable data and machine learning platforms</strong> used by multiple internal teams</li><li>Develop and maintain <strong>ML pipelines, feature stores, and training workflows</strong></li><li>Build infrastructure supporting <strong>LLM-powered applications</strong>, including embeddings, vector search, and <strong>RAG pipelines</strong></li><li>Develop systems for <strong>real-time decisioning</strong>, including pricing, personalization, and recommendation engines</li><li>Build and maintain <strong>experimentation platforms and A/B testing infrastructure</strong></li><li>Optimize data pipelines and ML workflows for <strong>performance and scalability</strong>, including GPU-based training environments</li><li>Collaborate with product, engineering, and data teams to operationalize machine learning models in production</li></ul><p><br></p>
<p>We are looking for a Design Operations Manager for an art and design company based in La Mirada, CA to streamline and oversee the execution systems for our dynamic Art Design team. This role is instrumental in managing diverse workloads, ensuring operational efficiency, and fostering collaboration across product launches, key accounts, and special programs. The ideal candidate will bring structure and clarity to fast-paced processes while maintaining momentum and driving accountability.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update the comprehensive Design roadmap, covering multiple workstreams such as product launches, key accounts, and trade shows.</p><p>• Lead weekly priority and status meetings, ensuring clear agendas, actionable decisions, and follow-ups.</p><p>• Monitor team capacity, identifying risks and blocked tasks to ensure smooth workflow prioritization.</p><p>• Develop and manage detailed project plans, including milestones, dependencies, and handoffs to ensure timely delivery.</p><p>• Drive accountability by following up with stakeholders and escalating risks with actionable solutions.</p><p>• Manage intake processes and establish clear definitions for deliverables, such as production-ready files or account decks.</p><p>• Identify and document scope changes, ensuring proper approval and visibility to mitigate scope creep.</p><p>• Enhance cross-functional handoffs using standardized templates and checklists for improved collaboration.</p><p>• Oversee Smartsheet setup, automation, and reporting to ensure efficient tracking and communication.</p><p>• Provide leadership with real-time visibility into project progress and risks through trusted reporting tools.</p>
We are looking for an experienced Manager of Cybersecurity Engineering and Operations to lead and enhance our technical cybersecurity functions within a dynamic retail environment. This role focuses on managing security operations and engineering processes to ensure robust defense mechanisms, effective threat detection, and continuous improvement of security systems. The ideal candidate will combine technical expertise with operational leadership to deliver scalable and resilient cybersecurity solutions aligned with business goals.<br><br>Responsibilities:<br>• Lead cybersecurity operations, including threat detection, incident response, and escalation, ensuring adherence to established protocols and runbooks.<br>• Oversee the design, operation, and optimization of core security platforms and tools, including vulnerability management, firewalls, cloud security, and identity protection systems.<br>• Collaborate with cross-functional teams, such as infrastructure, application, and DevOps, to integrate security measures into workflows and ensure alignment with organizational priorities.<br>• Manage vendor relationships and external service providers to effectively investigate, remediate, and document security incidents.<br>• Analyze incident trends and operational gaps to drive continuous improvement in detection, response, and automation capabilities.<br>• Coordinate vulnerability identification and remediation efforts in partnership with relevant teams to mitigate risks.<br>• Facilitate periodic security exercises, including tabletop simulations and red/blue team evaluations, to strengthen incident response readiness.<br>• Develop and maintain comprehensive documentation of security processes, incidents, and operational standards.<br>• Mentor and guide team members, fostering attention to detail in development and promoting a culture of accountability within the cybersecurity team.<br>• Ensure security systems and processes adapt to emerging threats and evolving business risks.
<p><u>Endpoint Engineer</u></p><p>We are seeking an experienced Endpoint Engineer to support large-scale endpoint environments across multiple client infrastructures. This role focuses on maintaining endpoint security posture, ensuring patch compliance, and managing device security operations across enterprise device fleets. The ideal candidate will have hands-on experience managing thousands of endpoints in complex environments and will work across endpoint management, vulnerability remediation, and security monitoring activities. This position combines technical engineering responsibilities with operational support and client-facing collaboration.</p><p><br></p><p>this is a 5 days onsite position </p><p><u>Key Responsibilities</u></p><ul><li>Plan, test, and deploy operating system and application updates across large endpoint fleets using structured deployment strategies such as pilot groups and phased rollouts.</li><li>Monitor patch compliance and coordinate maintenance windows, approvals, and remediation timelines.</li><li>Troubleshoot patch deployment failures and coordinate rollback or recovery actions when updates introduce system instability or compatibility issues.</li><li>Deploy, configure, and maintain endpoint protection platforms including EDR/XDR solutions.</li><li>Tune security policies, configure alerting and prevention settings, and investigate suspicious endpoint activity.</li><li>Contain or isolate compromised systems when threats are detected.</li></ul><p>Threat Detection and Incident Response</p><ul><li>Investigate security alerts and abnormal endpoint behaviors including malware, ransomware, and unauthorized activity.</li><li>Support incident response activities including investigation, containment, eradication, and recovery.</li><li>Document findings and contribute to post-incident remediation and security improvements.</li><li>Review endpoint vulnerability findings and prioritize remediation based on severity and risk exposure.</li><li>Track remediation progress and ensure endpoint compliance across operating systems and applications.</li><li>Support regular vulnerability scanning validation and endpoint security assessments.</li><li>Implement endpoint security configurations and baseline standards across enterprise devices.</li><li>Support endpoint encryption, firewall policies, privilege controls, and system security settings.</li><li>Develop PowerShell scripts and automation to improve patch deployment, compliance reporting, and endpoint management processes.</li><li>Generate operational reports and security metrics related to patch status, endpoint coverage, and vulnerability remediation.</li><li>Maintain device inventory and asset lifecycle records for enterprise endpoints including desktops, laptops, and associated services.</li><li>Ensure endpoints remain compliant with patching and security requirements throughout their lifecycle.</li><li>Identify and remove outdated, unauthorized, or unsupported tools and applications from endpoint environments.</li><li>Communicate security posture updates, patch compliance status, and incident response activities to internal teams and client stakeholders.</li><li>Participate in operational reviews and security discussions to provide technical insights and recommendations.</li></ul>
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for a skilled Field Support Engineer to join our team in Atlanta, Georgia. In this Contract to permanent role, you will provide hands-on technical support to clients, ensuring infrastructure reliability and addressing both routine and complex IT issues. This opportunity is ideal for professionals who excel in troubleshooting, client interaction, and maintaining high operational standards.<br><br>Responsibilities:<br>• Deliver onsite and remote technical support for client systems, addressing hardware, software, and network-related issues.<br>• Diagnose and resolve problems with network infrastructure, cloud services, servers, and end-user devices.<br>• Handle incident and request management using ServiceNow, ensuring efficient resolution and excellent client communication.<br>• Monitor client environments through tools like LogicMonitor and Datto, proactively addressing alerts and system issues.<br>• Conduct root cause analysis to identify solutions for recurring outages and infrastructure challenges.<br>• Apply patches, remediate system alerts, and maintain the overall health of client environments.<br>• Escalate complex technical problems to senior engineers while ensuring continuity in client communication.<br>• Collaborate effectively with both technical and non-technical stakeholders to deliver a superior customer experience.<br>• Adhere to security protocols and documentation standards to ensure compliance with client and internal policies.
<p>Position: Mobile Full-Stack Software Engineer | Multiple Perm Opps | Mid - Senior level</p><p>Location: Remote</p><p>Salary: $150,000 - 173,000 base + bonus + exceptional benefits</p><p><br></p><p>*** 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><p>Mobile Full Stack Software Engineer (Mid–Senior)</p><p>Build a 0→1 Mobile Product. Shape a New Digital Future.</p><p>A well‑funded, nationally recognized enterprise—backed by one of the most respected names in the world—is launching a bold digital transformation initiative. After 20+ years of dominating in their space, the organization is now investing heavily in a brand‑new, mobile‑first digital department built from the ground up.</p><p>This is greenfield, 0→1 product creation on a massive scale—with executive sponsorship, secured funding, and a mission to build a beautifully unified digital experience across dozens of business lines.</p><p>And we’re building the founding engineering team.</p><p>Why This Role Is Special</p><p>• Startup energy, zero startup risk: the pace, innovation, and creativity of a 0→1 build, fully funded by a Fortune‑level parent.</p><p>• Brand‑new digital organization: top‑tier engineers, product leaders, designers, and DevOps experts.</p><p>• Executive level backing: strong support from enterprise leadership and direct guidance</p><p>• High impact: join at the ground floor and influence architecture, product decisions, engineering culture, and scale.</p><p>• A product that is a mobile-first platform that will unify experiences across dozens of companies.</p><p>If you want to build something meaningful, this is the place.</p><p>What You’ll Do</p><p>As a Mobile Full Stack Software Engineer, you’ll be a key contributor in building a brand-new mobile-first platform. You’ll help define the foundation of the MVP, partner closely with product and design, and build high-quality, scalable services in an event-driven, microservices environment.</p><p>You will:</p><p>• Build and iterate on a Flutter/Dart mobile web app for the MVP launch.</p><p>• Develop backend microservices using NestJS, Node.js, Postgres, and modern API patterns.</p><p>• Design and scale cloud-native services in AWS with a strong focus on performance, security, and reliability.</p><p>• Contribute to architecture for a multi-domain, multi-subsidiary enterprise environment.</p><p>• Collaborate with product, UX, DevOps, QA, and business stakeholders to deliver in a fast, iterative, MVP-first culture.</p><p>• Bring both startup scrappiness and enterprise engineering discipline—knowing when to move fast and when to build for scale.</p><p>What You Bring</p><p>We’re looking for builders—engineers who thrive in ambiguity, love solving problems from scratch, and want to influence a product’s DNA from the earliest days.</p><p>Ideal experience includes:</p><p>• 2+ years of modern mobile development (Flutter/Dart preferred).</p><p>• Full stack engineering across mobile and backend ecosystems.</p><p>• Experience with:</p><p>○ Flutter / Dart</p><p>○ NestJS / Node.js</p><p>○ Postgres</p><p>○ Microservices</p><p>Hiring both Mid-Level and Senior-Level Engineers.</p><p><br></p>