Play a pivotal role in our mission to design, build, and deliver a cutting-edge foundation for our product teams in a dynamic, cloud-based environment. Collaborate closely with our talented product developers to craft and maintain the optimal cloud infrastructure, finding the balance between performance, resilience, and cost-effectiveness. You'll be at the forefront of emerging technologies overseeing our production environment.
Remote Devops Jobs · Datadog
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This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. The company values continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.
You will play a crucial role in building and managing our AWS cloud infrastructure and supporting services. You will oversee application deployment pipelines, maintain multiple environments, and help shape the best solutions for recurring challenges. This role is technical and hands-on, requiring a deep understanding of cloud platforms, networking, software design, operations, automation, and containerization.
We are seeking a senior DevOps engineer to join our team and support both internal teams and customers. The ideal candidate will be a curious individual open to new ideas; a thoughtful communicator; detail-oriented; and willing to pick work up off the floor without being asked. This role requires collaboration with people across the organization along with customers of Atropos Health.
Role - DevOps Engineer Working Model - Remote Canada Employment Type - Fulltime Employee Job Overview: Minimum 4-6 years of experience in DevOps. Design and develop Terraform modules and Python-based automation to deploy Datadog integrations, monitors, dashboards, and data pipelines. Collaborate with Cloud Engineering, Product, and Operations teams to codify observability patterns and build reusable frameworks that accelerate delivery.
Own and evolve Aircall’s monitoring, alerting, and observability stack. You’ll work cross-functionally with backend, front end and infrastructure and teams to ensure our systems are transparent, measurable, and continuously improving in reliability and performance. This role is ideal for someone passionate about observability-as-code, metric design, and helping engineering teams gain meaningful visibility into their systems.
This role is part of our Central Platform Engineering Team at saas.group and blends architecture, enablement, and practical engineering. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. You’ll own outcomes for a set of brands: assess where they are, recommend what “good” looks like, and implement the plan.
As an Observability Engineer, you’ll be at the forefront of building and evolving the systems that power deep, actionable visibility across our entire stack. Your work will enable hundreds of engineers to proactively detect, diagnose, and resolve issues before they reach our customers. You’ll define and execute observability strategy using modern tools like Datadog, OpenTelemetry, and CloudTrail within an AWS-native ecosystem.
You'll be the owner of the Machine Learning Inference Infrastructure at PhotoRoom, processing millions of requests on GPU every day. You’ll be responsible for the infrastructure deploying and running containers provided by the ML team. The team values knowledge sharing and humility.