Principal Platform Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $250,000-$300,000 Base + Bonus Potential<br>For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page.<br>Build the Engineering Platform That Powers Scale, Security, and AI Innovation<br>We are seeking a Principal Platform Engineer to lead the architecture, automation, and standardization of a modern cloud platform supporting enterprise-scale software delivery, cloud operations, and emerging AI capabilities.<br>This is a newly created, high-impact leadership role for a hands-on platform engineering expert who thrives at the intersection of cloud architecture, DevSecOps, developer experience, automation, and reliability engineering. You'll help define how engineering teams build, deploy, secure, and operate software across the organization.<br>What You'll Own<br> • Define and execute a platform engineering strategy that improves developer productivity, consistency, and operational resilience<br> • Architect and scale enterprise-grade CI/CD platforms that accelerate delivery while reducing operational risk<br> • Design and implement Infrastructure as Code using Terraform with reusable, standardized modules<br> • Embed security throughout the engineering lifecycle through automated guardrails, policy-as-code, secrets management, and governance controls<br> • Advance deployment automation, progressive delivery practices, and rapid recovery capabilities<br> • Build observability strategies across distributed applications, microservices, and cloud-native environments<br> • Strengthen AWS cloud operations through improved IAM, networking, governance, and runtime visibility<br> • Establish engineering standards and platform best practices across multiple development teams and external partners<br>What You'll Bring<br> • 10+ years of Platform Engineering, DevOps, Cloud Infrastructure, or Site Reliability Engineering experience<br> • Proven success operating and scaling complex production CI/CD ecosystems<br> • Deep hands-on expertise with Terraform and modern Infrastructure as Code practices<br> • Strong background in DevSecOps, security automation, compliance, policy enforcement, and vulnerability management<br> • Experience implementing observability, monitoring, logging, and operational excellence across distributed systems<br> • Advanced knowledge of AWS, Kubernetes, IAM, networking, cloud architecture, and platform operations<br> • Strong understanding of software delivery, developer tooling, release management, and operational metrics such as reliability and MTTR<br> • Ability to influence technical direction, establish enterprise standards, and communicate effectively with engineering leadership and executive stakeholders<br>Why This Opportunity<br> • Strategic new role with significant influence on platform and engineering strategy<br> • Opportunity to build and mature a modern, AI-ready cloud platform<br> • Highly visible position partnering with senior engineering and business leaders<br> • Blend of architecture, hands-on engineering, and enterprise-wide technical leadership<br> • Direct impact on scalability, security, developer experience, and operational excellence<br> • Remote opportunity with exceptional compensation and bonus potential<br>If you're a platform engineering leader who enjoys building standardized, scalable, and secure cloud environments while shaping the future of engineering delivery, we'd love to connect.
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>We are looking for an experienced Identity Governance Engineer. This role is focused on strengthening identity governance and privileged access capabilities by partnering with business stakeholders and building secure, scalable solutions across the user access lifecycle. The ideal candidate will bring deep expertise in modern identity platforms and scripting, along with the ability to translate governance needs into effective technical designs.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing enhancement of identity governance and privileged access processes for employee accounts and technical identities.</p><p>• Build and maintain lifecycle-driven access controls that support onboarding, role changes, and offboarding across enterprise systems.</p><p>• Partner with business and technology teams to define identity policies, align governance standards, and implement supporting controls.</p><p>• Develop and configure integrations and connectors between identity platforms and business applications to enforce access rules consistently.</p><p>• Architect and support core security capabilities spanning identity governance, privileged access management, multifactor authentication, and single sign-on services.</p><p>• Troubleshoot platform issues across identity and access technologies and deliver technical solutions that meet operational and security requirements.</p><p>• Evaluate and incorporate tools such as SailPoint Identity Security Cloud, Microsoft Entra ID, CyberArk, BeyondTrust, and Clutch Security into the broader access management framework.</p>
<p>We are seeking a <strong>QA Automation Engineer</strong> to help ensure the quality, reliability, and performance of software applications through automated and manual testing. This role will work closely with developers, business analysts, and other technology teams to identify issues early, improve testing processes, and build scalable automated testing solutions.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain automated test scripts and frameworks for web and software applications.</li><li>Create and execute automated, functional, regression, integration, and API tests.</li><li>Develop detailed test plans, test cases, and test scenarios based on business and technical requirements.</li><li>Perform manual testing when needed to validate functionality and investigate issues.</li><li>Identify, document, and track software defects through resolution.</li><li>Analyze test results and work with development teams to troubleshoot and resolve issues.</li><li>Participate in requirements and design reviews to identify potential quality issues early in the development process.</li><li>Build and maintain reusable automated testing components and frameworks.</li><li>Integrate automated testing into CI/CD pipelines and support continuous testing practices.</li><li>Test application integrations, data flows, APIs, and system interfaces.</li><li>Perform database validation and use SQL to verify data accuracy and integrity.</li><li>Help improve overall QA processes, standards, documentation, and testing methodologies.</li><li>Collaborate with cross-functional teams in an Agile/Scrum environment.</li><li>Monitor test coverage and identify opportunities to expand automation and improve efficiency.</li><li>Support production issue investigations and regression testing following application changes or releases.</li></ul><p><br></p>