<p>We are seeking an Integration Engineer to provide technical leadership across the end-to-end development and delivery of new insurance products and capabilities, enabling new business opportunities and operational efficiencies. This role will lead the design, development, and integration of underwriting frameworks and platforms across multiple lines of business using Agile and DevOps methodologies.</p><p>This position requires hands-on development experience, deep integration expertise, and the ability to technically lead globally distributed teams to deliver scalable, secure, and high-quality cloud-native platforms and services aligned with business priorities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Provide hands-on technical leadership for application design, development, and integration of secure and scalable solutions.</p><p>· Lead end-to-end development, implementation, and integration of new insurance products and packages using underwriting frameworks.</p><p>· Design and implement platforms enabling continuous delivery of features and capabilities aligned with business priorities.</p><p>· Partner closely with Product Managers/Owners, Business Analysts, Developers, and enterprise teams to define optimal technical solutions.</p><p>· Lead high-level design efforts, perform code reviews, and guide implementation by development teams.</p><p>· Develop select modules while reviewing and mentoring other engineers’ code.</p><p>· Mentor and coach junior engineers across multiple Scrum teams.</p><p>· Leverage an Agile-based operating model across distributed teams.</p><p>· Prepare technical documentation and deliver sprint and system demonstrations.</p><p>· Manage production workloads and act as an SME for Level 3 production support issues.</p><p>· Perform complex troubleshooting, root cause analysis, and resolution of critical production defects.</p><p>· Communicate status, risks, and dependencies in accordance with agreed communication plans.</p>
We are looking for a skilled Systems Engineer to join our team in Philadelphia, Pennsylvania. In this role, you will leverage your expertise in system architecture and cloud technologies to design, implement, and maintain robust solutions that drive operational efficiency. This is a long-term contract position offering the opportunity to work in a dynamic healthcare environment.<br><br>Responsibilities:<br>• Manage and optimize Active Directory and Azure Active Directory environments to ensure seamless access and security.<br>• Configure and maintain Microsoft Windows Server systems to support business-critical applications.<br>• Implement and support Citrix technologies, enabling efficient virtualization and remote access solutions.<br>• Administer cloud platforms such as AWS to enhance scalability and infrastructure reliability.<br>• Oversee database management tasks for systems using MySQL, MariaDB, and PostgreSQL.<br>• Develop and deploy automation scripts using tools like Ansible, Bash, and Python to streamline processes.<br>• Utilize Docker and Kubernetes for containerization and orchestration of applications.<br>• Collaborate with cross-functional teams to integrate ServiceNow applications and support Agile workflows.<br>• Monitor and troubleshoot network load balancing to ensure optimal performance.<br>• Maintain version control and code repositories using Git Stash.
We are looking for a Network Engineer to support and enhance enterprise network operations in Pennsylvania. This contract-to-permanent opportunity is ideal for a hands-on, detail-oriented individual who can maintain secure, high-performing connectivity across complex environments while partnering with technical teams to resolve infrastructure challenges. The role focuses on routing, firewall administration, and network optimization, with an emphasis on reliability, security, and scalable design.<br><br>Responsibilities:<br>• Manage and support Cisco-based network infrastructure, ensuring stable connectivity and consistent performance across the environment.<br>• Configure, maintain, and troubleshoot Palo Alto and Cisco ASA firewalls to uphold security standards and control network access.<br>• Administer routing protocols, including BGP, to maintain efficient traffic flow and dependable external connectivity.<br>• Investigate network incidents, identify root causes, and implement corrective actions to minimize downtime and recurring issues.<br>• Collaborate with cross-functional teams to plan, test, and deploy network changes that improve availability and operational efficiency.<br>• Monitor network health, analyze performance trends, and recommend enhancements to strengthen resilience and capacity.<br>• Support load balancing and application delivery technologies, including F5 and Citrix, to help maintain dependable access to business systems.<br>• Create and maintain clear technical documentation for configurations, procedures, and support activities.
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
<p>We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.</p><p>• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.</p><p>• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.</p><p>• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.</p><p>• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.</p><p>• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.</p><p>• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.</p><p>• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.</p><p>• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.</p><p>• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.</p>
We are looking for a skilled and dedicated Cyber Security Engineer to join our team in Chesterbrook, Pennsylvania. This contract-to-permanent position involves overseeing information security governance, managing vendor relationships, and mitigating risks to ensure a secure and compliant environment. The ideal candidate will bring hands-on expertise in security practices, coupled with strong analytical and communication skills, to drive the implementation of robust security programs.<br><br>Responsibilities:<br>• Act as the primary liaison with offshore teams to ensure compliance with organizational security policies and standards.<br>• Monitor vendor performance against service level agreements and identify areas for improvement.<br>• Develop and enforce governance practices to align operations with security and compliance requirements.<br>• Collaborate with business units to ensure security measures are integrated into vendor projects.<br>• Conduct assessments to evaluate supplier compliance with confidentiality, integrity, and availability standards.<br>• Provide expert advice on information security, analyzing vulnerabilities and recommending remediation strategies.<br>• Draft and maintain organizational security policies and procedures, ensuring adherence to compliance standards.<br>• Prepare detailed reports on security governance and vulnerabilities for stakeholders and leadership teams.<br>• Facilitate regular risk assessments and vulnerability scans, ensuring timely resolution of findings.<br>• Support special projects and contribute to the continuous improvement of security practices.
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
<p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul><p><br></p>
<p>We are looking for a Site Reliability Engineer to support cloud deployments. This role requires a self-starter who is adept at solving problems, is a collaborative teammate and an effective communicator at all levels within an organization.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Software Development teams, Product Managers, and Business Owners to ensure smooth deployment and operation of systems.</p><p>• Build CI/CD pipeline configurations to orchestrate provisioning and deployment of both large and small-scale systems.</p><p>• Automate tools to monitor system health and reliability to support business process requirements.</p><p>• Troubleshoot and resolve issues in development, test, and production environments.</p><p>• Communicate status and risks to the product teams.</p><p>• Help automate and streamline operations and processes.</p><p>• Build and maintain tools for deployment, monitoring and operations.</p>
<p>Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake’s latest platform features. This is an exceptional opportunity to work at the forefront of data, leveraging Streamlit, Cortex AI, and emerging Snowflake technologies.</p><p><strong>Key Responsibilities:</strong></p><p><strong>Snowflake Native Application Development (30%)</strong></p><ul><li>Design and build interactive data applications using Snowflake Streamlit to enable intuitive, self-service analytics and operational workflows for business users.</li><li>Develop reusable frameworks and component libraries for rapid application delivery.</li><li>Integrate Snowflake Native Apps and third-party marketplace applications to continuously extend platform capabilities.</li><li>Create custom UDFs and stored procedures to support advanced business logic.</li></ul><p><strong>Data Architecture and Modern Platform Design (30%)</strong></p><ul><li>Develop cutting-edge data architecture solutions spanning data warehousing, data lakes, and lakehouse approaches.</li><li>Implement medallion (bronze-silver-gold) patterns to maintain data quality and governance.</li><li>Recommend optimal architecture patterns for structured analytics, semi-structured data, and AI/ML workloads.</li><li>Establish best practices for data organization, storage optimization, and query performance.</li></ul><p><strong>AI & Advanced Analytics Collaboration (15%)</strong></p><ul><li>Partner with AI/data science teams to support and enhance Snowflake-based AI workloads.</li><li>Enable implementation of Snowflake Cortex AI features for practical business cases.</li><li>Guide data access and feature engineering for ML model requirements.</li><li>Contribute platform expertise to AI proof-of-concept initiatives.</li></ul><p><strong>Security, Governance, & Technical Leadership (15%)</strong></p><ul><li>Design and implement RBAC hierarchies, enforcing least privilege principles.</li><li>Define security best practices including network policies and encryption; implement row/column security and data masking.</li><li>Apply tag-based policies for advanced governance.</li><li>Monitor and optimize application performance, cost, and user experience.</li><li>Lead architectural discussions, create technical documentation, and share best practices.</li></ul><p><br></p>