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3 results for Rpa Engineer in Reading, PA

DevOps Engineering Manager

Fort Washington, PA
remote
Permanent / Full Time
170000 - 190000 USD / Yearly
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. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-04-21T00:00:00Z

Cyber Security Engineer

Wayne, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
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. Responsibilities: • Act as the primary liaison with offshore teams to ensure compliance with organizational security policies and standards. • Monitor vendor performance against service level agreements and identify areas for improvement. • Develop and enforce governance practices to align operations with security and compliance requirements. • Collaborate with business units to ensure security measures are integrated into vendor projects. • Conduct assessments to evaluate supplier compliance with confidentiality, integrity, and availability standards. • Provide expert advice on information security, analyzing vulnerabilities and recommending remediation strategies. • Draft and maintain organizational security policies and procedures, ensuring adherence to compliance standards. • Prepare detailed reports on security governance and vulnerabilities for stakeholders and leadership teams. • Facilitate regular risk assessments and vulnerability scans, ensuring timely resolution of findings. • Support special projects and contribute to the continuous improvement of security practices.
2026-05-11T00:00:00Z

Machine Learning Engineer II (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
64 - 71.85 USD / Hourly
Job SummaryWe are seeking a Machine Learning Engineer 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. Key Responsibilities<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>
2026-04-16T00:00:00Z