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9 results for Deployment Engineer in Reading, PA

Forward-Deployed Software Engineer
  • King of Prussia, PA
  • onsite
  • Permanent / Full Time
  • 100000 - 140000 USD / Yearly
  • We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions.<br><br>Responsibilities:<br>• Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams.<br>• Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations.<br>• Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements.<br>• Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions.<br>• Develop and release product enhancements driven by customer needs while maintaining quality and system stability.<br>• Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives.<br>• Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance.<br>• Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.
  • 2026-09-24T00:00:00Z
Automation Engineer
  • Bethlehem, PA
  • onsite
  • Permanent / Full Time
  • 100000 - 110000 USD / Yearly
  • We are looking for an Automation Engineer to drive complex product development efforts from early planning through full production readiness in Bethlehem, Pennsylvania. This role partners with technical and business teams to keep programs on schedule, control project costs, and align deliverables with quality and compliance expectations. The ideal candidate brings strong automation expertise and a practical approach to coordinating work across multiple stakeholders.<br><br>Responsibilities:<br>• Lead automation-focused product development projects from initial concept through launch using a structured phase-based methodology.<br>• Coordinate engineering, operations, quality, and business partners to keep deliverables aligned with scope, timing, and performance targets.<br>• Build and maintain project plans, monitor milestones, and address risks early to reduce delays and cost overruns.<br>• Support development and execution of automated solutions using tools such as Selenium and PowerShell where appropriate.<br>• Collaborate with continuous integration processes to improve testing efficiency, deployment readiness, and overall workflow reliability.<br>• Translate technical objectives and business needs into actionable project activities that support successful production introduction.<br>• Ensure new solutions satisfy functional expectations as well as applicable regulatory, technical, and organizational standards.<br>• Contribute to data center and operational automation initiatives that strengthen system consistency, scalability, and supportability.
  • 2026-10-07T00:00:00Z
Automation Engineer
  • Bethlehem, PA
  • onsite
  • Permanent / Full Time
  • 90000 - 95000 USD / Yearly
  • We are looking for an Automation Engineer to support and advance the technical performance of production and facility systems in Bethlehem, Pennsylvania. This role is responsible for maintaining reliable engineering operations across audio, video, IT-connected infrastructure, and site systems while helping improve overall functionality. The ideal candidate brings strong automation expertise and a hands-on approach to equipment support, system optimization, and live production readiness.<br><br>Responsibilities:<br>• Manage day-to-day technical operations for production and facility infrastructure, ensuring dependable system performance and uptime.<br>• Supervise engineering activities spanning broadcast or production technology, studio environments, integrated IT systems, and building-related technical assets.<br>• Coordinate the configuration and operation of audio and video systems for live events and recorded productions to deliver high-quality output.<br>• Lead the installation, troubleshooting, repair, and preventive maintenance of sound, video, and related control equipment.<br>• Develop and enhance automation solutions that improve workflows, monitoring, and operational efficiency across technical environments.<br>• Support system integration efforts involving data center operations, scripting, and connected production technologies.<br>• Partner with internal stakeholders to maintain compliance with organizational and technical standards across engineering operations.
  • 2026-10-07T00:00:00Z
Network Engineer (Linux & Kubernetes)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 44 - 49 USD / Hourly
  • <p>We are looking for a Network Engineer with strong Linux &amp; Kubernetes experience to support the reliability, deployment, and ongoing improvement of software systems in Philadelphia, Pennsylvania. The Linux/Network Support Engineer will support the design, development, implementation, and operation of technical products and systems. The role will focus heavily on deployment automation, continuous integration, cloud infrastructure, production support, monitoring, and containerized environments.</p><p><br></p><p><strong>Biggest Needs</strong></p><ul><li>Strong networking fundamentals and hands-on network troubleshooting skills.</li><li>Strong command of Linux environments.</li><li>Hands-on Kubernetes experience.</li><li>Willingness to participate in an on-call rotation, including nights, weekends, and holidays.</li></ul><p><strong>Key Responsibilities</strong></p><ul><li>Support vCMTS and RPHY turn-ups across the country.</li><li>Perform vCMTS platform stand-up, software installation, and ongoing system and network maintenance.</li><li>Implement changes, including system upgrades, RMAs, risk management, and automation.</li><li>Develop automation scripts using Python, Bash, and similar technologies.</li><li>Identify service-impacting trends and partner with development teams to implement long-term solutions.</li><li>Troubleshoot server hardware, software, systems, and network issues.</li><li>Handle incident mitigation for virtual Cable Modem Termination Systems.</li><li>Partner with regional engineering teams to identify product reliability improvements and build automation tools.</li><li>Work with Product and Project Management to integrate and operationalize new products.</li><li>Build and replace system hardware as needed.</li><li>Participate in an on-call rotation with the rest of the team.</li></ul>
  • 2026-09-16T00:00:00Z
Cloud Engineer II
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 54 - 57 USD / Hourly
  • <p><strong>Cloud Engineer II</strong></p><p><strong>This Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.</strong></p><p><strong>This position will deploy an open-weight model endpoint in the client&#39;s infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.</strong></p><p><strong>The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase.</strong></p><p><br></p><p><br></p><p>Responsibilities</p><p>• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.</p><p>• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.</p><p>• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.</p><p>• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.</p><p>• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.</p><p>• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.</p><p>• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.</p><p>• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.</p><p>• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.</p><p>• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.</p><p>• Support a lightweight quality comparison between the open-weight model and client&#39;s current coding-assistant experience if time and access allow.</p><p>• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.</p><p>• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.</p><p>• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.</p><p>• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.</p>
  • 2026-10-05T00:00:00Z
Data Engineer
  • Conshohocken, PA
  • remote
  • Permanent / Full Time
  • 100000 - 150000 USD / Yearly
  • We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
  • 2026-10-08T00:00:00Z
AI Engineer
  • Fort Washington, PA
  • onsite
  • Temporary / Contract
  • 55 - 60 USD / Hourly
  • We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
  • 2026-10-01T00:00:00Z
Azure Cloud Engineer AI & Automation
  • Malvern, PA
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for an Azure Cloud Engineer – AI &amp; Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
  • 2026-10-01T00:00:00Z
Software Automation Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 55 - 59 USD / Hourly
  • <p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
  • 2026-10-09T00:00:00Z