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10 results for Software Engineer in Reading, PA

Sr. Software Engineer

Fort Washington, PA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an experienced Senior Software Engineer to join our team in Fort Washington, Pennsylvania. In this role, you will design, implement, and maintain robust software solutions while ensuring high-quality performance and scalability. This position offers an opportunity to work on cutting-edge technologies and collaborate with a dynamic team to drive innovation in the paper and packaging industry. Responsibilities: • Develop and maintain enterprise-level software solutions using C#, .NET, and ASP.NET. • Design and implement front-end interfaces with React.js and JavaScript for seamless user experiences. • Manage and optimize endpoint systems at scale using Microsoft Intune/Endpoint Manager, including workflows for compliance, configuration, and patching. • Troubleshoot and resolve complex issues related to identity, network, endpoint, and service layers. • Collaborate with cross-functional teams to ensure systems meet operational and security standards. • Create and maintain detailed technical documentation and runbooks for operational processes. • Apply networking expertise to diagnose and troubleshoot connectivity issues, including Wi-Fi and firewall configurations. • Support hybrid environments with on-premises and cloud services integrations. • Monitor system performance using tools like Datadog, Splunk, or New Relic. • Stay updated on modern security controls, Zero Trust principles, and Conditional Access patterns.
2026-04-16T00:00:00Z

Sr. Software Engineer

Exton, PA
onsite
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team. Responsibilities: • Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy. • Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time. • Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps. • Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives. • Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards. • Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current. • Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions. • Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.
2026-04-30T00:00:00Z

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

Data Engineer

West Chester, PA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
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. Responsibilities: • Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making. • Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL. • Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems. • Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs. • Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency. • Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions. • Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption. • Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
2026-04-22T00:00:00Z

Linux Support Engineer

Philadelphia, PA
onsite
Temporary / Contract
45 - 49 USD / Hourly
Linux Support EngineerLocation: Hybrid in Philadelphia, PA (4x/week)Duration: Through 12/31/26, extensions likely This role supports a large-scale distributed access and virtualization-based cable client in a 24/7 operations environment. The engineer will focus on platform stand-up, network and system maintenance, automation, and incident mitigation for virtualized cable technologies deployed nationwide. This is a hands-on operations role requiring strong networking, Linux, and scripting expertise, with participation in an on-call rotation. Responsibilities:<ul><li>Support vCMTS platform stand-up, including software installation, system configuration, and ongoing maintenance</li><li>Execute change implementations such as system upgrades, hardware replacements, and automation initiatives</li><li>Perform network troubleshooting and configuration across virtualized and physical environments</li><li>Identify service-impacting trends and collaborate with development teams on long-term remediation</li><li>Participate in incident mitigation and on-call rotation within a 24/7 operations environment</li><li>Support nationwide VCMTS and RPHY turn-ups while following established operational processes</li><li>Partner with regional engineering teams to improve product reliability and develop automation tools</li><li>Work cross-functionally with Product and Project Management to operationalize new technologies</li></ul>
2026-04-30T00:00:00Z

Snowflake Solutions Engineer

Easton, PA
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
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.Key Responsibilities:Snowflake Native Application Development (30%)<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>Data Architecture and Modern Platform Design (30%)<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>AI & Advanced Analytics Collaboration (15%)<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>Security, Governance, & Technical Leadership (15%)<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>
2026-04-21T00:00:00Z

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

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

Site Reliability Engineer (SRE)

Philadelphia, PA
onsite
Temporary / Contract
62 - 67 USD / Hourly
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. Responsibilities:• Collaborate with Software Development teams, Product Managers, and Business Owners to ensure smooth deployment and operation of systems.• Build CI/CD pipeline configurations to orchestrate provisioning and deployment of both large and small-scale systems.• Automate tools to monitor system health and reliability to support business process requirements.• Troubleshoot and resolve issues in development, test, and production environments.• Communicate status and risks to the product teams.• Help automate and streamline operations and processes.• Build and maintain tools for deployment, monitoring and operations.
2026-04-28T00:00:00Z

Machine Learning Consultant I (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: Available on W2 BasisConsultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x OnsiteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-04-29T00:00:00Z