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Build and maintain secure CI/CD pipelines and infrastructure-as-code to automate builds, tests, and deployments for defense tech, using tools like GitLab CI, Terraform, Kubernetes, and Python.
Senior DevOps engineer building and operating Kubernetes-based platforms, streaming systems, and observability stacks that power DoubleVerify's real-time ad-verification infrastructure at massive scale.
DevOps Engineer at BetterMe, a health & wellness app company, managing and optimizing AWS cloud infrastructure (EKS/Kubernetes, Terraform/Terragrunt, RDS Aurora), improving CI/CD with GitHub Actions and Helm, and running monitoring/alerting with Prometheus, Grafana and Thanos; includes a 1-week-per-month on-call rotation.
A Cloud DevOps engineer in Bordeaux supporting the Région Nouvelle-Aquitaine's cloud modernization projects: day to day you maintain and optimize cloud infrastructures (AWS, Azure, GCP), administer Kubernetes clusters and Docker containers, run monitoring (Prometheus, Grafana, ELK, Datadog), and keep CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) reliable.
Junior DevOps/SRE engineer at consulting firm Maestria (Sophia Antipolis) who keeps a data platform reliable, secure and industrialized: administering Kubernetes and data infrastructure (PostgreSQL, Kafka/Debezium, Airflow, S3), monitoring with Grafana/Prometheus, automating with Terraform, Ansible and ArgoCD, and handling production incidents and CI/CD.
DevOps engineer at a quantitative trading firm, joining a 4-person team that builds and runs the group's critical infrastructure and platforms (compute, network, storage, data platforms, CI/CD, observability, security) on-premise and on cloud. Core stack: AWS, Linux, Kubernetes, Terraform, Ansible, FluxCD, Python/Bash, IAM/PKI.
Principal Platform Engineer who designs, provisions, and operates Kubernetes- and cloud-based (AWS/Azure) infrastructure for national security and cyber operations missions, using IaC, CI/CD GitOps, service mesh, and DevSecOps practices. Requires 8+ years platform engineering experience, strong Go/Python skills, and an active Top Secret clearance, working hybrid from Herndon, VA.
Lead the engineering team at Betstamp, a Toronto sports-betting pricing data company: set technical direction, manage and mentor engineers, and stay hands-on shipping code for a Go-based real-time odds pipeline (Redis Streams, ClickHouse, Kubernetes), with heavy use of AI coding tools.
Smart Capital Center is an AI-powered platform transforming Commercial Real Estate (CRE) investment and financial management. Our platform combines real-time market data, financial modeling, workflow automation, and…
Full-stack engineer building customer-facing web applications for C&A's e-commerce division using React, TypeScript, Node.js and Cloudflare Workers, covering the full lifecycle from UI to backend services, CI/CD, AWS/Docker and observability (Grafana, Loki, Prometheus). Work is based from the Málaga office or from home.
Senior DevOps Engineer at Mitiga Solutions in Barcelona, bridging software development and IT operations to strengthen infrastructure behind mission-critical catastrophe models and hazard-alert systems. Day to day involves designing resilient pipelines with Terraform, Kubernetes, Azure, Prometheus/Grafana and Jenkins.
Senior DevOps engineer at UST España Latam who designs and runs scalable, secure, automated infrastructure across cloud (Azure) and on-prem environments. Day-to-day work centers on Kubernetes, Docker and CI/CD pipelines, plus IaC with Terraform/CloudFormation, Prometheus/Grafana monitoring and DevSecOps practices.
Senior DevOps engineer at Mitiga Solutions in Barcelona (hybrid, office twice a week) building and running the infrastructure behind natural-hazard risk products like wildfire alerting and aviation hazard data. Core stack: Azure, Terraform, Kubernetes, Prometheus/Grafana observability, Jenkins CI, Python/Bash.
hiberus is hiring a mid-level Java Backend Developer in Galicia, Spain, to build and maintain backend solutions, design REST APIs, and migrate systems toward microservices with Kafka and CI/CD pipelines. Core stack is Java with Spring Boot/Cloud; valued extras include cloud platforms, Kubernetes/OpenShift, ELK/Grafana/Prometheus, and Linux.
Betstamp is hiring a Market Data Engineer in Toronto to build its real-time odds infrastructure: ingesting data from 100+ sportsbooks, exchanges, and prediction markets into a Redis Streams/ClickHouse pipeline and serving sub-second line-movement, best-price, and edge APIs, using Go, PostgreSQL, Kubernetes, and Prometheus/Grafana.
A hands-on senior backend engineer who designs, builds, and owns production-grade Python microservices and AWS cloud-native infrastructure powering Earnix's GenAI products, including an agents platform and AI assistants. Work spans LLM orchestration, knowledge bases, embeddings, and agent frameworks alongside Kubernetes, Helm, and data/messaging tech like PostgreSQL, Redis, and Kafka.
Data engineer at Betstamp, a sports betting pricing company, maintaining real-time odds ingestion: 100+ sportsbook scrapers, a Redis Streams/ClickHouse pipeline, and Go REST APIs. Day to day you fix broken feeds, optimize Postgres/ClickHouse queries, add Prometheus/Grafana monitoring, and use AI coding tools heavily.
Betstamp is hiring a backend engineer to maintain and improve its real-time sports betting odds infrastructure: Go services for 100+ sportsbook scrapers, a Redis Streams/ClickHouse data pipeline, and the REST API powering its pro odds screen. The role is AI-native, expecting heavy use of coding agents, and is based in Toronto.
RxSense is hiring a hands-on Principal Platform Engineer to lead its greenfield cloud platform end to end: building the Terraform and Helm foundations, running production EKS, shaping CI/CD, security, observability, and cloud cost, embedded with the AI Engineering team.
Senior Software Engineer on Microsoft's Azure Monitor team (within Azure Data/Microsoft Fabric) in Vancouver, building and operating hyperscale backend telemetry/observability services - designing distributed systems, APIs for telemetry collection/routing/storage, improving reliability and security, and applying AI-assisted capabilities to infrastructure operations.
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