Seeking a motivated and skilled DevOps Engineer (II), Security to join our infrastructure team. The ideal candidate will be a collaborative individual with a strong sense of ownership and a passion for building and maintaining robust, secure, and scalable systems. This role is integral to enhancing security of our data, reliability of our systems and developer experiences.
Job listings
You will play a pivotal part in designing, implementing, and maintaining our Internal Developer Platform, CI/CD pipelines, and Infrastructure as Code (IaC) solutions, all while ensuring the reliability, scalability, and performance of our cloud-based systems. By working closely with development, QA, and IT teams, you will drive improvements in our workflows, streamline the overall development lifecycle, and help us deliver high-quality, scalable solutions faster and more efficiently.
Join Simple Technology Solutions as a Software Developer with deep experience in cloud infrastructure, API performance, and large-scale data systems. Youβll work on a highly visible, cloud-native API that powers data discovery and access for users ranging from scientists to studentsβhelping transform and improve data quality across diverse environmental and socio-economic domains. This role involves maintaining, optimizing, and scaling a high-availability, AWS-hosted API system.
As a Staff Engineer, you will be a technical leader and individual contributor within our production operations function, responsible for designing, building, and maintaining highly reliable, scalable, and performant cloud infrastructure and systems, playing a critical role in driving technical excellence, mentoring junior engineers, and solving complex scalability and reliability challenges.
This role involves leading and scaling Greenlight's Site Reliability Engineering (SRE) and Cloud Engineering functions, playing a critical role in ensuring platform reliability, scalability, and performance, as well as driving the adoption of cloud-native best practices and fostering a culture of operational excellence.
As a Senior Cloud Operations and Support Engineer, youβll help manage the operational health of the Docebo learning platform, solving critical customer-facing issues by orchestrating the broader response of the Docebo product organization. You will be part of a globally deployed team that is highly skilled in handling urgent customer issues, quickly diagnosing technical, operational, and/or product issues, and orchestrating the right response to mitigate and resolve problems.
Create reusable infrastructure components using infrastructure-as-code technologies to allow teams to manage their own infrastructure needs. Mature the CI/CD pipeline to enable teams to scale in a self-service way to help reduce deployment cost and time. Collaborate with product engineering teams to design scalable infrastructure and deployment patterns for customer facing solutions.
The Senior Platform Engineer will be an expert in infrastructure and developer tooling initiatives across Gametimeβs platform. This person will be responsible for designing, implementing, and maintaining core platform systems that support Gametimeβs high-scale, cloud-native architecture. This role requires deep fluency in Infrastructure as Code (IaC), container orchestration, CI/CD principles, and developer experience optimization.
Take ownership of Aztecβs custom CI system and internal build tools. Enhance and build CI dashboards to improve observability of engineering workflows. Harden CI infrastructure using least privilege principles and robust sandboxing. Implement productivity enhancements across C++, Rust, Solidity, and TypeScript build systems. Investigate and resolve low-level bugs related to Linux processes, signals, memory, and IPC.
Train large-language models (LLMs) to write production-grade infrastructure and DevOps code. Help teach AI how to write, debug, and optimize infrastructure code like a top-tier DevOps engineer. Compare and rank Terraform or IaC code snippets, explaining which is more reliable, efficient, or scalable. Refactor or repair AI-generated infrastructure setups for correctness, security, and clarity.