• Support distributed environments on Azure and AWS, working directly on the advancement of corporate observability using tools such as Grafana, Prometheus, OpenTelemetry, Loki, Tempo and Zabbix; • Troubleshoot critical environments, perform incident analysis, and define dashboards, alerts and operational metrics; • Work closely with development, architecture and infrastructure teams to ensure application quality, availability and performance; • Drive the evolution of automation practices, GitOps, monitoring of Kubernetes environments (AKS/EKS) and continuous platform improvement.

• Build and operate scalable observability and telemetry platforms that process logs, metrics, traces, and events across production environments • Support monitoring, alerting, and instrumentation strategies that improve service visibility and operational insight • Partner with engineering teams to strengthen telemetry collection and overall observability • Design resilient, automated infrastructure and platform services that improve reliability, scalability, and efficiency • Develop Infrastructure as Code and automation solutions that reduce toil and improve consistency • Lead technical initiatives from architecture through implementation with attention to performance, reliability, security, and maintainability • Troubleshoot complex production issues involving distributed systems, Linux infrastructure, networking, cloud services, and telemetry pipelines • Participate in incident response and on-call processes • Help drive operational excellence, root cause analysis, and continuous improvement • Mentor engineers on SRE best practices, observability strategy, and scalable systems design • Contribute to long-term platform strategy and reliability improvements.

Role Description - Evaluate AI-generated artifacts against domain-specific quality rubrics. - Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks. - Provide clear, structured written feedback to improve AI model outputs. - Apply deep subject-matter expertise to grade outputs for accuracy and rigor. - Work independently and asynchronously to meet deadlines. Qualifications - Must-Have: 5+ years of relevant professional experience in Software / AI / IT / data. - Native or professional fluency in English. - Highly proficient in Microsoft Office and Google Workspace, especially Slides. - Preferred: Advanced degree (Master's or higher) from a reputable institution. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Description The DevSecOps Engineer is responsible for architecting, implementing, and maintaining secure, automated, and resilient DevSecOps pipelines and cybersecurity controls across the software development lifecycle. This role is critical to ensuring that all client components—including cloud, IoT, edge, and data systems—are developed, deployed, and operated in compliance with cybersecurity, privacy, and risk management requirements. The engineer works closely with software, infrastructure, and security teams to integrate security best practices into CI/CD pipelines, automate compliance checks, and support continuous monitoring, vulnerability management, and incident response. The DevSecOps Engineer is responsible for implementing and maintaining infrastructure as code (IaC), automated testing, secure configuration baselines, and security gates for all client environments, including AWS GovCloud and edge gateways. The position requires hands-on experience with DevSecOps toolchains (e.g., Terraform, Kubernetes, Inspector, Security Hub), secure SDLC, and DoD RMF/IL4 controls. The engineer maintains comprehensive documentation, supports audits and ATO processes, and ensures that all client solutions are auditable, secure, and optimized for operational readiness and regulatory compliance. - Design, implement, and maintain secure CI/CD pipelines and DevSecOps automation for cloud, edge, and data environments - Integrate security controls, automated compliance checks, and vulnerability scanning into all stages of the software development lifecycle - Develop and maintain infrastructure as code (IaC) for AWS GovCloud, IoT gateways, and supporting systems - Implement and enforce secure configuration baselines, access controls, and monitoring for all client components - Support continuous monitoring, incident response, and vulnerability management in compliance with DoD RMF, IL4, and FedRAMP requirements - Collaborate with software, infrastructure, and security teams to ensure secure deployment and operation of solutions - Maintain comprehensive documentation for DevSecOps processes, security controls, and compliance artifacts - Support audit, ATO, and risk management processes, including evidence collection and remediation of findings - Provide technical support for user acceptance testing, deployment, and ongoing operations of client environments - Participate in security assessments, code reviews, and compliance audits as required by contract and SOW Qualifications - Bachelor’s degree in Cybersecurity, Computer, Electrical, or Electronics Engineering, or Mathematics with a concentration in computer science or equivalent - Minimum 3 years of experience with cybersecurity engineering - Must be US citizen with the ability to obtain a Secret Clearance Requirements - Proficiency with DevSecOps toolchains (e.g., Terraform, Kubernetes, AWS Inspector, Security Hub, SOAR platforms) - Experience with secure SDLC, vulnerability management, and continuous monitoring in DoD or federal environments - Familiarity with AWS GovCloud, cloud security, and infrastructure as code (IaC) - Knowledge of DoD RMF, IL4/IL5, and FedRAMP requirements for cybersecurity and compliance - Strong documentation and communication skills, including the ability to produce compliance artifacts and technical guides - Experience supporting audit, ATO, and risk management processes for federal systems - Information Assurance Management (IAM) or Information Assurance Technical (IAT) or Information Assurance System Architect and Engineer (IASAE) Level I (position-based) per DoD 8570.1M3 Benefits - Medical, dental, and vision insurance with an employer contribution - Flexible spending or health savings account - Life and AD&D insurance - Short and long term disability coverage - Paid time off - Employee assistance - Participation in a 401k program with company match - Additional voluntary or legally-required benefits