About UsWe build and operate a fully-automated Speech Analytics SaaS platform running on Kubernetes across AWS and GCP.Our infrastructure processes ~160,000 hours of audio monthly with 99%+ uptime SLA, serving enterprise customers with mission‑critical analytics needs.Our platform is built on modern, cloud‑native technology: Kubernetes, Argo ecosystem, MongoDB, ElasticSearch, and 100% Terraform‑driven Infrastructure as Code.We auto‑scale from dozens to over 1,000 Kubernetes nodes based on demand.Beyond our core SaaS product, we deliver managed solutions (Autopilot and Copilot platforms) and build AI‑based services packaged as containerized, Terraform‑ready modules for seamless integration into customer cloud environments (AWS, GCP, Azure).We’re a team that values strong engineering practices, automation‑first mindset, and operational excellence.About The RoleWe’re looking for a Senior DevOps / Platform Engineer to help design, automate, and operate our cloud‑native platform.You’ll work across AWS and GCP, manage Kubernetes at scale, implement highly‑automated CI/CD workflows, and collaborate with engineering teams to ensure reliable delivery of SaaS features and AI‑driven products.What Makes This Role UniqueReal ownership and autonomy – you’ll be a key technical decision‑makerWork directly with leadership on platform strategyHands‑on with cutting‑edge cloud‑native and AI/ML workloadsOpportunity to lead a major AWS / GCP migration to optimize costs and performanceThis role is ideal for someone who thrives in high‑automation environments, enjoys solving complex platform challenges, and wants visible impact on products used by enterprise customersLocation: Fully remote (Spain‑based)Key ResponsibilitiesInfrastructure & CloudDesign, build, and maintain multi‑cloud infrastructure on AWS and GCPOperate and optimize Kubernetes clusters (GKE, EKS) at scale (up to ~1K nodes)Lead infrastructure modernization and cloud migration initiativesImplement cost optimization strategies across cloud providersManage Argo Workflows and ArgoCD for GitOps‑based deploymentsBuild and maintain end‑to‑end Infrastructure as Code with Terraform (modularized, reusable, multi‑cloud)Develop internal automation tooling and scripts (Python, Bash, Go)Implement zero‑downtime deployment strategiesPlatform ServicesDeploy and manage production MongoDB, ElasticSearch, and other core servicesPackage and deploy workloads using Helm, Docker, and GitOps pipelinesEnsure 99%+ uptime SLA through robust monitoring and incident responseSupport delivery of AI containerized solutions ready for customer environmentsReliability & ObservabilityBuild comprehensive observability across all platform componentsImplement security best practices and compliance requirementsDrive post‑incident reviews and continuous improvementRequirementsMust Have5+ years as a DevOps, SRE, or Platform Engineer in production environmentsStrong hands‑on Kubernetes experience (GKE and/or EKS) managing clusters at scaleExpert‑level Terraform and Infrastructure as Code workflowsMulti‑cloud experience with both AWS and GCPProven experience with CI/CD, GitOps, ArgoCD, Argo WorkflowsSolid Docker and Helm expertise for containerized deploymentsStrong scripting/programming skills in Python and BashExperience running production‑grade, scalable, and secure cloud systemsComfortable with incident response and on‑call responsibilitiesNice to HaveProgramming for tooling development (Python, bash, Go, ...)Experience with observability stacks (Prometheus, Grafana, Elastic, OpenTelemetry)Hands‑on with AI/ML workloads in containerized environmentsMongoDB and ElasticSearch operations at scaleExperience with cost optimization strategies in cloud environmentsContributions to open‑source DevOps/platform projectsAWS/GCP certificationsCompensation & BenefitsCompetitive salary packageFully remote work with flexible hours23 days of vacation + Spanish public holidaysGrowth & ImpactReal ownership – your decisions shape the platform’s futureWork directly with leadership on technical strategyContinuous learning with modern cloud‑native, DevOps, and AI toolingOpportunity to mentor and grow the team as we scaleVisible impact on products used by enterprise customersWork CultureEngineering‑driven culture that values automation and best practicesAsync‑first communication (we respect work‑life balance)Blameless postmortems and learning from incidentsRegular team knowledge‑sharing sessions and open cooperationInterview ProcessInitial call (30 min)Technical interview (60 min)Final interviewTimeline: Typically 2‑3 weeks from application to offerHow to ApplyApply here or send your CV and a brief note about what excites you about this role to ******Seniority levelMid‑Senior levelEmployment typePart‑timeJob functionInformation TechnologyIndustriesLaw EnforcementReferrals increase your chances of interviewing at Strategy Big Data by 2xSign in to set job alerts for “Platform Engineer” roles.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr