Role Description As a Cloud DevOps Engineer, you will be a critical member in building, automating, securing, and operating the cloud platforms that power OneStream’s global SaaS offerings. The Cloud Engineering team is focused on delivering scalable, reliable, and highly automated infrastructure solutions that improve platform resiliency, operational excellence, and engineering velocity across the organization. Your primary function will involve: - Designing, implementing, and supporting cloud infrastructure, Infrastructure-as-Code solutions, CI/CD automation, and cloud-native services across Azure and Kubernetes environments. - Collaborating closely with cross-functional teams including Engineering, Security, Compliance, and Cloud Operations. - Driving modernization, operational improvements, and platform standardization while contributing to a culture of continuous learning, innovation, and engineering excellence. Qualifications - BS/BA in computer science, engineering, or technology-related field (or equivalent work experience). - 4+ years of cloud infrastructure experience primarily with Azure. - Understanding of Infrastructure-As-Code concepts and tooling (Terraform, Bicep, ARM or CloudFormation templates) on Microsoft Azure. - Experience with observability tooling such as Dynatrace, Azure Monitor, OpenTelemetry, Prometheus, Grafana. - Experience with cloud architecture concepts including scalability, resiliency, security, and identity management. - Familiar with Agile Development methodologies utilizing Jira, Confluence and Azure DevOps Boards. - Experience using modern AI-assisted development tooling such as GitHub Copilot, Cursor, Claude Code, or equivalent. - 4+ years of hands-on experience with the following technologies, tools, and concepts: - Automating processes using Bash, CLI, PowerShell, REST APIs, ARM Templates, or other scripting languages. - Proficiency with source control platforms such as Git and GitHub. - Knowledge of container orchestration platforms such as Kubernetes, OpenShift, AKS, GKE. - Microsoft Azure, Amazon Web Services (AWS), or Google Cloud (GCP). - Windows Server, IIS, Microsoft SQL Server. Requirements - 4+ years of relevant Azure experience deploying and managing leveraging Infrastructure-as-Code (IAC) concepts. - Experience working for a cloud service provider (CSP), managed service provider (MSP), or SaaS provider. - Experience supporting cloud-native applications and containerized workloads on Kubernetes platforms such as AKS, OpenShift, GKE, or EKS. - Microsoft Windows Server, Ubuntu and enterprise Linux distributions, IIS, and Kestrel. - Experience supporting highly available and scalable Azure SQL platforms including Azure SQL Database, Hyperscale, and SQL Managed Instance. - Microsoft Certifications: (AZ-104 - Azure Administrator Associate, AI-900 / AI-901 - Azure AI Fundamentals, Azure AI Engineer Associate, Azure Network Engineer Associate). - Microsoft Cloud Adoption Framework (CAF). Benefits - Excellent Medical Plan. - Dental & Vision Insurance. - Life Insurance. - Short & Long Term Disability. - Vacation Time. - Paid Holidays. - Professional Development. - Retirement Plan. Company Description OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy.

• Fleet Orchestration & Scaling: Architect, provision, and scale the core user agent fleet across a hybrid Railway and AWS ecosystem, ensuring each user retains an isolated, secure, and predictable containerized process with optimized cost tracking and precise lifecycle hooks. • Secure Network Engineering: Establish, manage, and continuously harden private overlay networks using Tailscale in production, linking disparate user agents securely with core Model Context Protocol (MCP) servers and the underlying live trading runtimes. • Automated User Provisioning: Design and construct an end-to-end, zero-touch deployment pipeline utilizing advanced infrastructure-as-code and CI/CD best practices, enabling seamless, single-click automated provisioning of containers, secrets management, and environmental configurations for new users. • Operational Resilience & SRE: Define, build, and maintain comprehensive monitoring, telemetry, alerting, and automated incident response frameworks to guarantee graceful state retention, preserving live in-flight transaction states across sudden host restarts, scheduled key rotations, or regional cloud outages. • Incident Management: Oversee system health and participate in direct real-incident response and on-call rotations to maintain strict operational continuity for the live global fleet.

Role Description We are hiring on behalf of our client who is seeking an exceptional, production-proven Infrastructure & DevOps Engineer to take absolute ownership of the deployment, secure networking, architectural lifecycle, and overall reliability of this distributed agent fleet from day one. The client is engineering a sophisticated infrastructure designed to launch a highly distributed fleet of managed, single-tenant personal artificial intelligence (AI) trading agents. Operating non-stop, these isolated processes execute high-frequency, complex financial workflows natively on blockchain infrastructure, dedicated exclusively to individual user portfolios. Key Responsibilities - Fleet Orchestration & Scaling: Architect, provision, and scale the core user agent fleet across a hybrid Railway and AWS ecosystem, ensuring each user retains an isolated, secure, and predictable containerized process with optimized cost tracking and precise lifecycle hooks. - Secure Network Engineering: Establish, manage, and continuously harden private overlay networks using Tailscale in production, linking disparate user agents securely with core Model Context Protocol (MCP) servers and the underlying live trading runtimes. - Automated User Provisioning: Design and construct an end-to-end, zero-touch deployment pipeline utilizing advanced infrastructure-as-code and CI/CD best practices, enabling seamless, single-click automated provisioning of containers, secrets management, and environmental configurations for new users. - Operational Resilience & SRE: Define, build, and maintain comprehensive monitoring, telemetry, alerting, and automated incident response frameworks to guarantee graceful state retention, preserving live in-flight transaction states across sudden host restarts, scheduled key rotations, or regional cloud outages. - Incident Management: Oversee system health and participate in direct real-incident response and on-call rotations to maintain strict operational continuity for the live global fleet. - Container PaaS Orchestration: Proven professional experience deploying, monitoring, and scaling complex architectures in production utilizing Railway, or equivalent containerized platform-as-a-service frameworks (such as Fly.io, Render, or Northflank). - Advanced AWS Proficiency: In-depth technical mastery of Amazon Web Services (AWS), with practical expertise spanning Virtual Private Clouds (VPC), Identity & Access Management (IAM), Secrets Manager, and elastic scaling frameworks (ECS / AWS Lambda). - Production-Grade Tailscale Networking: Demonstrated experience implementing Tailscale within a high-security production environment, with distinct competence configuring Access Control Lists (ACLs), complex subnet routing, and ephemeral node lifecycles. - Modern Infrastructure & CI/CD: Mastery of Docker containerization, comprehensive CI/CD deployment pipelines, and modern Infrastructure-as-Code (IaC) paradigms. - Blockchain & Onchain Context: Technical familiarity with blockchain mechanics, smart contract interactions, or web3 infrastructure paradigms to support decentralized application layers. - High-Availability / Financial SRE Background: A proven professional history managing environments where system stability impacts critical financial outcomes, paired with total comfort managing on-call duties and live incident response. Qualifications - Direct experience deploying, managing, and monitoring Large Language Model (LLM) or autonomous AI agent fleets at multi-tenant scale. - Prior exposure to quantitative trading systems, high-frequency execution runtimes, or deep integrations with platforms such as Hyperliquid. Benefits - Highly competitive compensation package. - The flexibility of a fully remote operating environment with an immediate start timeline. - The opportunity to shape the architectural foundation of a cutting-edge technical ecosystem intersecting Artificial Intelligence and decentralized financial infrastructure. - Access to top-tier modern tooling, modern infrastructure frameworks, and a highly streamlined, zero-red-tape development culture. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Role Description We are seeking a highly skilled and self-driven Senior Software Engineer – Azure DevOps Engineer with deep expertise in Azure DevOps, Infrastructure as Code, and cloud automation. The ideal candidate will take full ownership of tasks from requirement gathering to development, handover, and troubleshooting, ensuring seamless delivery and minimal downtime across environments. Strong troubleshooting skills in Azure Cloud, excellent knowledge of Azure administration, and a solid understanding of networking concepts are essential. The candidate will leverage GitHub Copilot—including MCP-based context integrations—to accelerate specification-driven development, improve code quality, and automate test and deployment workflows. The candidate should have excellent communication skills, interpersonal skills, ownership and commitment. Experience in the healthcare domain is a plus. Job Responsibilities - Design, develop, and maintain advanced Azure DevOps YAML pipelines for CI/CD automation. - Write and maintain robust PowerShell scripts for automation, monitoring, and deployment tasks. - Develop and manage infrastructure as code (IaC) using Bicep for Azure resource provisioning. - Operationalize GitHub Copilot to ground code generation, improving speed and accuracy of feature delivery. - Take complete ownership of assigned tasks, including requirement analysis, implementation, documentation, and support. - Collaborate with cross-functional teams to understand deployment needs and deliver scalable DevOps solutions. - Proactively monitor and support development, testing, and production environments, ensuring high availability and minimal downtime. - Troubleshoot and resolve issues across the DevOps lifecycle, including build failures, deployment errors, and infrastructure problems. - Continuously improve DevOps practices, tools, and processes to enhance team productivity and system reliability. - Monitor and optimize infrastructure performance, cost, and security. - Mentor junior engineers and contribute to knowledge sharing within the team. Qualifications - 6–9 years of hands-on experience in Azure DevOps. - Proven expertise in Infrastructure as Code (IaC) using Bicep and ARM templates. - Strong experience in building and maintaining Azure DevOps (ADO) YAML pipelines for CI/CD. - Advanced scripting skills in PowerShell and YAML; familiarity with Unix Shell scripting is a plus. - In-depth knowledge of Azure Cloud services, including compute, storage, networking, and security. - Proven experience using GitHub Copilot in day-to-day development and demonstrable expertise configuring and using Copilot with MCP. - Strong troubleshooting and diagnostic skills for Azure deployments and infrastructure issues. - Solid understanding of Application Gateway, Azure networking, including Hub-Spoke architecture, NSGs, VNets, and routing. - Proficiency in Git and source control workflows. - Experience with .NET and RDBMS is a plus. Educational Requirements - UG: B. Tech / B.E. - Any Specialization, Computers, Electronics/Telecommunication - PG: MS/M.Sc. (Science) – Any Specialization, M.Tech – Any Specialization, MCA – Computers Benefits - Flexible working hours to create a work-life balance. - Opportunity to work on advanced tools and technologies. - Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships. - Highly encouraged for any innovative ideas & thoughts and we support in executing the same. - Periodical and on-spot rewards and recognitions on your performance. - Provides a better platform for enhancing skills via many different L&D programs. - Enabling and empowering atmosphere to work along.