Role 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. Position: Software Engineer Type: Freelance Compensation: $75–$80/hour Location: Remote Duration: 1–2 weeks Commitment: 15–40 hours/week Role Responsibilities - Evaluate and compare the performance of AI-powered CLI coding agents on real-world infrastructure debugging tasks. - Solve TerminalBench tasks using AI CLI agents to diagnose and fix failing systems. - Write bash scripts to address root causes and ensure they survive service restarts. - Diagnose broken systems inside Docker containers involving databases, TLS, pipelines, and more. - Compare and rank agents' approaches after each task to inform product decisions. - Work independently and asynchronously with flexible hours. Qualifications - 3+ years of experience in software engineering with hands-on debugging of systems and infrastructure. - Strong bash/shell scripting proficiency. - Experience with Docker and containerization. - Skills in infrastructure and systems debugging with PostgreSQL, MySQL, Redis, nginx, TLS, systemd, and log analysis. - Familiarity with version control workflows (Git, PRs, issue tracking). Requirements - Experience with AI coding tools like Copilot, Cursor, or Claude. - Immediate start date. Application Process - Upload resume. - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role. - Follow-up communication within a few days with next steps and onboarding details. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .

Role Description We are looking for an Infrastructure Engineer to support and evolve the core systems that power identity, access, and platform reliability across cloud and enterprise environments. This role combines Infrastructure Engineering, Platform Engineering, and SRE practices with a strong focus on Okta, Active Directory, and operational excellence. What You'll Do - Administer and operate Okta, Active Directory, and identity systems including SSO, MFA, and lifecycle management - Design secure authentication and authorization solutions across enterprise and cloud platforms - Operate AWS infrastructure and support migrations from hosted/on-prem systems to AWS - Build and maintain Infrastructure as Code (Terraform or similar) - Enhance CI/CD pipelines and deployment workflows - Implement reusable infrastructure patterns and automation - Monitor system health using observability tools - Troubleshoot incidents and perform root cause analysis - Develop automation scripts using Python, Bash, or similar - Collaborate with engineering, security, and product teams to deliver scalable solutions - Document systems and promote best practices across teams Qualifications - 4–8+ years of experience in Infrastructure, Systems, or SRE roles - Hands-on experience with Okta, Active Directory, or similar identity platforms - Experience migrating infrastructure from hosted/on-prem environments to AWS - Strong AWS knowledge and cloud infrastructure experience - Experience with Infrastructure as Code (Terraform preferred) - Solid Linux, networking, and security fundamentals - Experience with CI/CD pipelines - Scripting experience (Python, Bash, etc.) - Familiarity with containers (Docker, Kubernetes, ECS) - Experience supporting production systems and incident response - Strong communication and collaboration skills Requirements - Bonus points for identity federation (SAML, OIDC, Zero Trust) - GitOps or ArgoCD experience - Observability tools (Datadog) - Compliance frameworks (SOC2, GDPR) - AWS certifications - Experience with AI/ML or AI-assisted tooling Benefits - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence.

• Build and maintain robust cloud infrastructure on Oracle Cloud Infrastructure (OCI) as the backbone for AI/ML model testing and edge emulation environments. • Build open source-based solutions that enable the collection of performance metrics, including CPU, GPU, and LLM metrics, into an Oracle Autonomous Database. • Benchmark models engineered for edge deployment, with simulated size/weight/power (SWaP) configurations. • Implement MLOps pipelines enabling testing of models against multiple simulated edge devices. • Operationalize the parameterization of designated edge systems to characterize compute, storage, SWaP, networking, and mission constraints. • Design, stand up, and maintain a full edge-system emulation environment on OCI, enabling model testing, profiling, and automated deployment optimization. • Define performance benchmarks and evaluate model behavior under contested and low-bandwidth edge conditions. • Implement integration of Git to check out models for testing. • Enhance and manage an emulated edge system, parameters, and performance metrics from testing for external system query and model tuning. • Support secure data ingest, cross-cloud orchestration, and API-based interoperability across Oracle Cloud, AWS, and Army systems. • Apply working knowledge of DoD security frameworks, enclave boundaries, and cross-domain workflows to ensure compliant, secure architectures. • Coordinate with industry partners to ensure alignment with mission objectives, technical baselines, and security requirements. • Provide technical mentorship to other team members, system developers, data engineers, and system integrators supporting the program.

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing. This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong. We are currently searching for a Cloud Infrastructure Engineer: Responsibilities: - Design, develop, and maintain automation frameworks and scripts to streamline security processes. - Deploy and manage AWS resources using Terraform, ensuring secure and scalable infrastructure. - Implement innovative security solutions to reduce mean time to detect and respond (MTTR). - Optimize AWS Step Functions and Lambda for serverless automation workflows. - Leverage AWS security services (IAM, Control Tower, KMS, Macie, GuardDuty, CloudTrail, EventBridge) to enhance cloud security. - Integrate security automation into CI/CD pipelines in collaboration with cross-functional teams. - Monitor and troubleshoot AWS infrastructure to ensure high availability, performance, and compliance. - Provide hands-on support for security technologies including Docker, Kubernetes, SIEM, CSPM, and vulnerability scanners. Requirements: - Bachelor’s degree in Computer Science, IT, or equivalent work experience. - 3+ years of professional experience in Python or Go development, with a focus on automation. - 3+ years of hands-on experience with AWS security-centric services (IAM, KMS, Control Tower, GuardDuty, etc.). - Proficiency in Infrastructure as Code (IaC) using Terraform. - Working knowledge of AWS Step Functions and AWS Lambda for serverless architectures. - Hands-on experience with SIEM, IPS, and vulnerability scanners. - Strong understanding of cloud security best practices and compliance frameworks. Desired: - AWS Certifications (e.g., AWS Certified Security – Specialty or Solutions Architect). - Experience with CI/CD tools (Scalr, Harness, Jenkins) and containerization (Docker, Kubernetes). - Familiarity with DevSecOps methodologies and secure coding practices. - Knowledge of other cloud platforms like GCP or Alibaba Cloud. Languages - Advanced Oral English. - Advanced Spanish. Note: - Fully remote. If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/ Requirements Requirements: - Bachelor’s degree in Computer Science, IT, or equivalent work experience. - 3+ years of professional experience in Python or Go development, with a focus on automation. - 3+ years of hands-on experience with AWS security-centric services (IAM, KMS, Control Tower, GuardDuty, etc.). - Proficiency in Infrastructure as Code (IaC) using Terraform. - Working knowledge of AWS Step Functions and AWS Lambda for serverless architectures. - Hands-on experience with SIEM, IPS, and vulnerability scanners. - Strong understanding of cloud security best practices and compliance frameworks.