We are looking for a DevOps/AWS Platform Engineer to join a long-term contract engagement based in West Des Moines, Iowa. This hands-on platform engineering role focuses on modernizing cloud deployment patterns, strengthening infrastructure decisions, and accelerating delivery through AI-assisted development tools while maintaining high engineering standards. The person in this role will partner closely with DevOps peers to review automated changes critically, validate outcomes through established testing methods, and build reliable, reusable deployment capabilities across the AWS ecosystem.<br><br>Responsibilities:<br>• Redesign container build and publication processes so application images can be delivered through Amazon ECR and GitHub package repositories in alignment with target platform needs.<br>• Rework deployment automation to support containerized workloads on AWS Fargate, including service definitions, networking, permissions, logging, load balancing, and release verification using existing GitHub Actions workflows.<br>• Replace Azure-based identity and access patterns with AWS-native role design and federated access models integrated with organizational authentication groups.<br>• Transition secrets and configuration management to AWS services such as Secrets Manager and Parameter Store to support secure runtime access.<br>• Convert Terraform configurations from Azure-focused implementations to AWS-based infrastructure modules, including updates to providers, reusable components, and remote state management.<br>• Update GitHub Actions pipelines, runners, and reusable workflows to align with the target GitHub organization and AWS account trust relationships.<br>• Create and refine deployment pipelines that enable reusable delivery into AWS Fargate environments for the applications and tools supported by this platform.<br>• Adapt scripts, instructions, and developer tooling so they operate consistently inside Ubuntu-based Coder workspaces, including environment setup, credentials handling, and workflow expectations.<br>• Use AI-assisted coding tools to speed implementation, while independently inspecting, testing, and validating every change before release.<br>• Produce validation evidence for migrated capabilities using the existing evaluation framework and prepare concise handoff documentation for internal engineering teams.
Position: IT Infrastructure Engineer (Network, Systems & DevOps)<br>Location: Cedar Rapids, IA - hybrid<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>We’re seeking a hands-on Network & Systems Engineer to design, automate, and support enterprise infrastructure across on-prem and cloud environments. This role blends networking, systems, and DevOps with strong ownership.<br><br>What You’ll Do<br> • Build infrastructure as code (Ansible, Python)<br> • Develop CI/CD pipelines (GitLab) for infrastructure automation<br> • Manage Docker/container platforms<br> • Administer Linux (Ubuntu) environments<br> • Support network infrastructure (VLANs, firewalls, VPN, SD-WAN)<br> • Lead IAM, secrets, and certificate automation<br> • Maintain Active Directory, Windows Server, and databases (MySQL/MSSQL)<br> • Drive monitoring, patching, and security support<br> • Participate in on-call rotation<br><br>What You Bring<br> • 4–5+ years in infrastructure, systems, or DevOps<br> • Strong Linux administration<br> • Experience with Ansible, Python, PowerShell<br> • Hands-on CI/CD and Docker<br> • Solid networking fundamentals<br> • Experience with Active Directory<br>Nice to Have: AWS/cloud exposure, IAM/PKI, security certifications<br><br>Why Join<br> • Hybrid network + systems + DevOps role<br> • High-impact, hands-on ownership<br> • Opportunity to build modern automation practices<br><br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p>We are seeking an Automation QA Engineer to support the design, development, and execution of automated testing solutions for web applications, APIs, and enterprise systems. This role will work closely with developers, business analysts, and QA team members to ensure applications are reliable, scalable, and production-ready.</p>
<p>Opening for an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation.</p><p>You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.</p><p> </p><p>Primary Responsibilities</p><ul><li>Amazon Connect application development and configuration: </li><li>Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.</li><li>Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.</li><li>Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.</li><li>Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.</li><li>Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.</li><li>AI orchestration and backend services: </li><li>Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.</li><li>Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.</li><li>Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.</li><li>Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.</li><li>Data safety and compliance: </li><li>Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.</li><li>Enforce PII minimization and redaction policies in Amazon Connect conversation logs.</li><li>Participate in threat modeling and support remediation of findings for contact center integrations.</li><li>Web and chat integration: </li><li>Support CloudFront + WAF configurations for secure web chat entry points.</li><li>Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.</li><li>DevSecOps and operations: </li><li>Contribute to Git-based CI/CD pipelines, code reviews, and documentation.</li><li>Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.</li><li>Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.</li></ul>
<p>We are seeking an innovative <strong>RCM AI Solutions Engineer</strong> to lead the development and implementation of AI-powered solutions that transform revenue cycle operations. This individual will identify automation opportunities, design intelligent workflows, and deploy AI-driven tools that improve efficiency, accuracy, and decision-making across the revenue cycle lifecycle. </p><p><strong> </strong></p><p><strong>What You'll Do:</strong></p><p><strong>AI Solutions Development</strong></p><ul><li>Design, build, test, and deploy AI-powered tools, agents, and workflows.</li><li>Develop custom prompts and automation solutions that streamline operational processes.</li><li>Integrate AI solutions with healthcare and business systems.</li><li>Evaluate new AI capabilities and recommend innovative applications. </li></ul><p><strong>Revenue Cycle Optimization</strong></p><ul><li>Identify opportunities to automate manual tasks and reduce administrative burden.</li><li>Improve workflows related to: </li><li>Prior Authorizations</li><li>Denial Management</li><li>Claims Follow-Up</li><li>Eligibility & Benefits Verification</li><li>Revenue Cycle Operations</li><li>Measure and monitor performance improvements resulting from AI adoption. </li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Partner with operational, technology, compliance, finance, and clinical teams to deliver effective solutions.</li><li>Serve as a subject matter expert on AI tools and best practices.</li><li>Train end users and support organizational adoption of AI-powered workflows. </li></ul><p><strong>Governance & Compliance</strong></p><ul><li>Ensure adherence to healthcare regulatory requirements, privacy standards, and responsible AI practices.</li><li>Implement monitoring, quality assurance, and governance processes for AI solutions.</li><li>Maintain documentation and support ongoing optimization efforts. </li></ul>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
Overview: Our organization is seeking an experienced Senior Security Engineer to join our Information Security team. Reporting to the Manager SecOps, you will play a critical role in designing, implementing, and maintaining robust security architectures that protect our network infrastructure from cyber threats. This position offers the opportunity to work collaboratively across the Information Systems department, assess and mitigate information security risks, and ensure compliance with financial institution regulations. WKey Responsibilities: Design, implement, and manage SPLUNK SIEM solutions for centralized monitoring, threat detection, and effective incident response. Operate intrusion detection and protection systems and respond to suspicious activities. Deploy and maintain network-based Data Loss Prevention (DLP) solutions; develop and manage data privacy policies. Conduct regular vulnerability assessments with tools such as Nessus, and execute remediation plans. Implement zero-day threat protection platforms and develop response strategies. Manage endpoint protection solutions to mitigate malware and advanced threats. Deploy and maintain Identity and Access Management (IAM) technologies including Okta and RSA. Architect and configure secure network solutions including firewalls, NGFWs, and web content filtering tools. Maintain comprehensive security architecture documentation and generate regular security posture reports. Collaborate with IT and compliance teams to ensure adherence to security best practices and regulatory requirements.
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization.<br><br>Responsibilities:<br>• Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance.<br>• Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows.<br>• Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets.<br>• Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards.<br>• Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements.<br>• Participate in coding reviews and testing processes to ensure high-quality deliverables.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards.<br>• Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</p>
We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent applications that strengthen operations, streamline manual work, and support better business decisions. This contract opportunity with permanent potential is based in Oklahoma City, Oklahoma, and offers the chance to partner with technical teams and business leaders on practical AI solutions using machine learning, generative AI, and cloud-based services. The ideal candidate brings strong software engineering fundamentals along with hands-on experience building scalable AI products for real-world use.<br><br>Responsibilities:<br>• Build, test, and launch AI and machine learning solutions that are ready for production use and aligned with business goals.<br>• Develop generative AI applications powered by large language models and adapt them to support enterprise needs.<br>• Create retrieval-based AI experiences that connect language models with internal data sources and business systems.<br>• Design agent-driven architectures and coordinated workflows that automate tasks across platforms and operational processes.<br>• Develop APIs and backend components that enable reliable integration between AI capabilities and existing applications.<br>• Work closely with stakeholders to evaluate opportunities, define priorities, and deliver high-impact AI initiatives.<br>• Implement intelligent automation and decision-support tools that improve efficiency, reduce risk, and enhance day-to-day operations.<br>• Monitor deployed AI solutions for quality, scalability, security, and performance while continuously refining outputs and user value.<br>• Maintain documentation for solution design, implementation standards, and technical practices to support long-term adoption and supportability.<br>• Research emerging AI frameworks, tools, and methods to identify innovations that can provide measurable organizational benefit.
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams.<br><br>Responsibilities:<br>• Design and build AI applications that use Claude large language models to support business-focused automation and decision-making.<br>• Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution.<br>• Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments.<br>• Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data.<br>• Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost.<br>• Build backend services, utilities, and supporting components needed to power scalable AI products in production.<br>• Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions.<br>• Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
<p>We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation.</p><p><br></p><p>Responsibilities:</p><p>• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.</p><p>• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.</p><p>• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.</p><p>• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.</p><p>• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.</p><p>• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.</p><p>• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.</p><p>• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.</p><p>• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.</p>
We are looking for a VoIP Engineer to support a Long-term Contract engagement in Spartanburg, South Carolina. This position is focused on delivering a Salesforce Service Cloud Voice solution in a bring-your-own-telephony environment with RingCentral as the telephony provider. The ideal candidate can take ownership of implementation activities from setup through launch, helping the team establish a reliable voice platform with minimal ramp-up time.<br><br>Responsibilities:<br>• Lead the deployment of Salesforce Service Cloud Voice within a bring-your-own-telephony architecture using RingCentral connectivity.<br>• Configure Omni-Channel voice routing, call handling logic, and agent and supervisor workspaces to support daily operations.<br>• Set up and manage RingCentral administration tasks, including integration components required for seamless connection with Salesforce.<br>• Build and refine queue structures, routing paths, IVR or menu options, and workflow behavior to align with business communication needs.<br>• Establish user access, profiles, permission sets, and role-based capabilities for agents and supervisors within the platform.<br>• Support end-to-end implementation activities, including telephony provisioning, system configuration, testing, and go-live readiness.<br>• Enable reporting and voice insight features such as recordings, transcripts, and conversation analytics within Salesforce.<br>• Collaborate with stakeholders to troubleshoot technical issues, validate configurations, and ensure stable voice operations after deployment.
<p>We are looking for a motivated entry-level Operations Engineer to join our team in Secaucus, NJ . In this role, you will collaborate with experienced engineers to maintain and enhance mission-critical, low-latency trading systems. This position offers an excellent opportunity to develop technical skills in system administration, networking, and automation while contributing to the operational success of our platform.</p><p><br></p><p>Responsibilities:</p><p>• Monitor and maintain the performance of low-latency trading systems to ensure seamless operation.</p><p>• Assist in resolving incidents by troubleshooting issues and minimizing system downtime in collaboration with senior team members.</p><p>• Perform essential operational tasks such as system monitoring, log analysis, and routine maintenance.</p><p>• Develop and implement automation scripts and tools to enhance operational efficiency.</p><p>• Gain hands-on experience with Linux/Unix system administration and networking technologies.</p><p>• Contribute to the creation and upkeep of detailed documentation for systems and processes.</p><p>• Participate in rotational weekend work to ensure system reliability and availability.</p><p>• Travel occasionally to the data center as required for hardware or system maintenance tasks.</p>
We are looking for a DevOps & Release Engineering Manager to lead modern software delivery practices while remaining deeply involved in engineering execution. This role combines team leadership, release oversight, and platform strategy to strengthen CI/CD capabilities across cloud and hybrid environments. Based in Enola, Pennsylvania, this position will guide reliable release delivery, improve automation standards, and help shape the roadmap for DevOps tools and processes.<br><br>Responsibilities:<br>• Lead the direction and day-to-day operation of CI/CD platforms across GitHub Actions, Azure DevOps, Copado for Salesforce, and related hybrid delivery environments.<br>• Design, execute, and resolve issues within complex production releases, using an automation-focused approach to improve speed, consistency, and stability.<br>• Manage and mentor a small team of DevOps professionals, providing technical guidance, coaching, and hands-on support while developing team capability.<br>• Drive enterprise release planning activities by coordinating schedules, evaluating deployment risk, and maintaining strong governance and audit readiness.<br>• Define and prioritize the roadmap, backlog, and overall strategy for DevOps and release engineering capabilities based on business value and operational risk.<br>• Oversee Salesforce deployment practices, including environment planning, release coordination, seasonal platform updates, and pipeline automation.<br>• Support modernization initiatives involving delivery tooling and platform changes, ensuring transitions are implemented with minimal disruption to active releases.<br>• Contribute directly to engineering work through infrastructure automation, deployment optimization, and troubleshooting across cloud-native systems.
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>We are seeking a Principal Platform Engineer to help shape the technical direction of our cloud platform capabilities and serve as a senior technical partner across engineering, security, and architecture. This role operates at an organizational level, driving platform strategy, leading cross-team technical initiatives, and strengthening our cloud security posture across an expanding AWS environment.</p><p>You will work closely with our Security team as an embedded partner on key platform security efforts, while also coordinating with another Principal Engineer on the Platform team to align and divide technical ownership. This is a highly cross-functional role, requiring strong collaboration with application teams, security, compliance, and architecture to ensure platform services and infrastructure effectively support the broader organization.</p><p><strong>Responsibilities:</strong></p><ul><li>Lead the design and continuous improvement of secure, scalable platform solutions in AWS environments.</li><li>Partner with engineering teams across the organization to drive broad technical initiatives and influence platform strategy.</li><li>Build and maintain infrastructure as code using Terraform to standardize deployments and improve operational consistency.</li><li>Develop and enhance platform tooling and automation using languages such as Java, Python, Go, or C#.</li><li>Strengthen cloud security controls by implementing and managing services such as Security Hub, GuardDuty, Config, CloudTrail, secrets management, and private networking patterns.</li><li>Support containerized workloads by improving Docker security practices and optimizing deployment patterns for services running on EC2, Fargate, and other managed platforms.</li><li>Advance CI/CD capabilities through orchestration and automation tools including GitHub Actions, Jenkins, CircleCI, or similar technologies.</li><li>Collaborate on secure software delivery practices, including source control standards, vulnerability scanning, and supply chain protection measures.</li><li>Contribute to agile delivery processes and provide technical leadership that helps teams execute complex platform initiatives effectively.</li></ul><p><br></p>
<p>We are looking for a Platform Engineer to support the design, delivery, and ongoing improvement of secure, reliable cloud platforms. This role partners with application, infrastructure, business, and vendor teams to prepare solutions for deployment, strengthen operational readiness, and resolve technical issues across the delivery lifecycle. The ideal candidate brings strong DevOps experience, hands-on cloud engineering skills, and a practical approach to automation, observability, and compliance in a healthcare-focused environment.</p><p><br></p><p>Responsibilities:</p><p>• Partner with application teams early in the delivery process to review architecture, confirm deployment readiness, and clarify technical dependencies, assumptions, and release expectations.</p><p>• Create platform designs that prioritize resilience, maintainability, and operational support, including rollback planning, failure response, measurable outcomes, and defined ownership.</p><p>• Serve as a central technical liaison across development, infrastructure, security, and compliance stakeholders to keep communication aligned throughout implementation and release activities.</p><p>• Detect technical, operational, and security concerns before deployment and coordinate with teams to mitigate risks before they affect production environments.</p><p>• Investigate incidents, perform root cause analysis, and help restore services while driving improvements that reduce recurring issues.</p><p>• Build, enhance, and support CI/CD workflows for code integration, testing, and application deployment using repeatable automation practices.</p><p>• Automate deployment processes and manage cloud-based, containerized workloads, including services running on AWS and AWS Fargate.</p><p>• Provision and manage infrastructure with Terraform and contribute to standards, code review practices, and governance for Infrastructure as Code and delivery pipelines.</p><p>• Implement monitoring, logging, and alerting solutions using tools such as CloudWatch, Datadog, or comparable platforms, while maintaining clear technical documentation.</p><p>• Support the modernization of legacy on-premises applications and assist with compliance activities such as audit logging, vulnerability remediation, and patch management</p>
We are looking for a Platform Engineer to advance the reliability, security, and scalability of our engineering platform in Kalamazoo, Michigan. This position focuses on building a consistent developer experience by strengthening automation, deployment practices, infrastructure standards, and operational visibility. The ideal candidate will shape platform capabilities with a product mindset, enabling internal teams to deliver software more safely and efficiently while supporting enterprise growth and modern AI-enabled services.<br><br>Responsibilities:<br>• Define and evolve a platform strategy that improves consistency, resilience, and ease of use for internal engineering teams.<br>• Build and maintain CI/CD frameworks that support dependable delivery, stronger release controls, and reduced operational risk.<br>• Create and manage infrastructure as code solutions, including reusable Terraform components that promote standardization across environments.<br>• Embed security into platform workflows through automated guardrails such as secrets management, policy enforcement, encryption controls, and secure configuration practices.<br>• Develop release automation and progressive delivery approaches that improve deployment safety and accelerate recovery when issues arise.<br>• Establish observability capabilities across distributed services to enhance monitoring, troubleshooting, and service performance insights.<br>• Partner with engineering leaders, developers, and external vendors to implement platform standards and communicate technical tradeoffs clearly.<br>• Improve cloud operations by strengthening identity and access controls, governance practices, and runtime visibility across AWS-based environments.
<p>We are looking for an experienced Platform Engineer to help strengthen and scale cloud infrastructure. This role focuses on building secure, resilient platform capabilities that support engineering teams and critical services across the organization. The ideal candidate brings deep technical leadership, strong software engineering foundations, and a track record of improving cloud environments through automation, security, and thoughtful architecture.</p><p><br></p><p>Responsibilities:</p><p>• Lead platform engineering efforts that improve the reliability, scalability, and security of cloud-based systems and shared services.</p><p>• Design and implement secure cloud architectures using managed services, networking controls, audit capabilities, and secrets management best practices.</p><p>• Build and maintain infrastructure as code solutions with Terraform to standardize deployments and reduce operational risk.</p><p>• Develop internal tooling and automation in languages such as Java, Python, Go, or C# to streamline platform operations and engineer productivity.</p><p>• Strengthen containerized workloads by applying Docker security practices and supporting services running on platforms such as AWS Fargate.</p><p>• Guide cross-functional technical initiatives, aligning multiple teams on engineering standards, platform direction, and security expectations.</p><p>• Improve delivery pipelines by integrating orchestration and automation tools such as GitHub Actions, Jenkins, CircleCI, or similar technologies.</p><p>• Partner with engineering and security teams to embed secure development practices, code management discipline, and supply-chain protections into daily workflows.</p><p>• Support the use and optimization of cloud platform services, including compute, databases, and other managed offerings, to meet performance and availability goals.</p>
<p>We are seeking a <strong>Business Intelligence (BI) Engineer</strong> with strong experience in <strong>Power BI, SQL, and Microsoft Fabric</strong> to help design, build, and optimize enterprise reporting and analytics solutions. This role will partner with business stakeholders, data engineers, and leadership teams to transform data into actionable insights that drive decision-making.</p><p>The ideal candidate has a passion for data visualization, data modeling, and creating scalable BI solutions within the Microsoft ecosystem.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain interactive dashboards and reports using <strong>Power BI</strong></li><li>Build and optimize complex <strong>SQL queries</strong>, stored procedures, and data pipelines</li><li>Develop and manage semantic models, datasets, and KPIs</li><li>Leverage <strong>Microsoft Fabric</strong> components including Lakehouse, Warehouse, Data Factory, and Power BI</li><li>Gather requirements from stakeholders and translate business needs into analytics solutions</li><li>Ensure data quality, accuracy, security, and governance across reporting environments</li><li>Monitor and improve report performance and data refresh processes</li><li>Create documentation, data dictionaries, and reporting standards</li><li>Collaborate with cross-functional teams to deliver scalable data and analytics solutions</li></ul><p><br></p>
We are looking for an experienced Firmware Engineer to support the design and delivery of advanced embedded products in Wisconsin. This Long-term Contract position is ideal for a senior-level candidate who enjoys building robust firmware, shaping technical direction, and partnering closely with multidisciplinary teams throughout development and release. The role offers hands-on involvement across architecture, implementation, testing, and product improvement in an onsite engineering environment.<br><br>Responsibilities:<br>• Architect, build, and enhance embedded firmware for sophisticated electronic devices across the full product lifecycle.<br>• Guide software development activities from early design through production launch, sustainment, and continuous improvement.<br>• Produce efficient, dependable code in C and C++ for embedded platforms with limited memory and processing resources.<br>• Create and verify embedded software solutions using MATLAB and Simulink to support model-based development efforts.<br>• Partner with electrical, mechanical, manufacturing, test, and product stakeholders to deliver cohesive system-level results.<br>• Implement and support embedded communication interfaces, including wireless and peripheral protocols used in connected devices.<br>• Diagnose firmware and hardware integration issues through structured debugging, verification, and root-cause investigation.<br>• Develop internal tools, automation scripts, and test utilities using Python and C++ to improve engineering efficiency and product quality.<br>• Contribute to manufacturing validation and end-of-line test approaches that strengthen reliability, consistency, and performance.<br>• Help define software engineering best practices, technical documentation expectations, and effective validation methods.
<p><strong>Overview</strong></p><p>Our client is seeking a <strong>Senior Cloud & Infrastructure Engineer</strong> to support and enhance enterprise cloud and infrastructure platforms across Microsoft Azure, Linux, Kubernetes/OpenShift, and disaster recovery environments. This role will focus on cloud modernization, infrastructure automation, container platform administration, and operational support for highly available business-critical systems.</p><p><br></p><p><strong>Responsibilities:</strong></p><p><strong>Azure & Cloud Infrastructure</strong></p><ul><li>Design, implement, and support secure, scalable, and highly available Azure solutions.</li><li>Manage Azure infrastructure, networking, and platform services.</li><li>Support cloud modernization efforts and migration of on-premises workloads to Azure.</li><li>Implement identity management, network security, and data protection controls in partnership with security teams.</li><li>Monitor and optimize cloud performance, availability, and cost using Azure Monitor, Log Analytics, and related tools.</li><li>Develop Infrastructure-as-Code and automation solutions using Terraform, Azure CLI, and similar technologies.</li><li>Support integrations with enterprise applications and operational platforms.</li><li>Maintain technical documentation, standards, and operational runbooks.</li></ul><p><strong>Linux & Container Platforms</strong></p><ul><li>Administer and support an enterprise environment of 200+ Linux servers across production, QA, and development environments.</li><li>Perform OS upgrades, patching, performance tuning, and system maintenance.</li><li>Deploy, administer, and support Kubernetes and OpenShift environments.</li><li>Manage cluster lifecycle activities including installation, upgrades, patching, scaling, and maintenance.</li><li>Configure and support RBAC, namespaces, networking, ingress controllers, and persistent storage.</li><li>Partner with application teams on containerized workloads and production deployments.</li><li>Monitor platform health, performance, capacity, and availability.</li><li>Troubleshoot issues across Linux, containers, networking, and storage environments.</li></ul><p><strong>Infrastructure Operations & Disaster Recovery</strong></p><ul><li>Support enterprise backup, disaster recovery, and business continuity initiatives.</li><li>Assist with backup validation, recovery testing, and disaster recovery planning.</li><li>Support Rubrik and Zerto environments.</li><li>Participate in incident response, root cause analysis, and infrastructure reliability efforts.</li><li>Participate in an on-call rotation supporting critical systems and services.</li></ul><p><strong>*Please note: This is a fully onsite role in Johns Creek, GA. Please don't apply to this posting if you're not already local to Metro ATL and willing to work onsite.</strong></p>