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Devops Senior

Work from home Full-time role Hiring

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀 Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We’re looking for a DevOps to help take our expertise to the next level. We need someone with a strong hands-on mindset, focused on understanding how platforms work "under the hood" to ensure scalability and operational excellence. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀 \n 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. 🌟 Our Partnerships Amazon Web Services Astronomer Databricks 🌟 Our Values 📊 We are Data Nerds 🤗 We are Open Team Players 🚀 We Take Ownership 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓 Infrastructure & Platform Design and manage cloud infrastructure across AWS, GCP, or Azure. Maintain infrastructure as code using Terraform or similar tools. Operate Kubernetes clusters and containerized workloads. Maintain CI/CD pipelines and support deployment automation. Manage core data platform infrastructure (e.g., Databricks environments). Security & Compliance Implement security best practices across cloud environments (IAM, encryption, secrets management). Support compliance initiatives such as ISO 27001, SOC 2, or GDPR. Perform vulnerability management and access reviews. Automation & Internal Systems Automate infrastructure and internal processes using scripting and workflow tools. Improve self-service capabilities for engineering teams. Client & Team Support Provision and manage infrastructure within client cloud environments when needed. Support engineering teams with environment setup and infrastructure troubleshooting. Required Skills 💻 5+ years of experience in DevOps, SRE, or Platform Engineering roles within enterprise environments. Strong experience with AWS (EKS, IAM, Networking) and operating production-grade platforms. Proficiency with Infrastructure as Code (IaC) specifically using Terraform. Advanced experience running Kubernetes / EKS in production (administration, operation, and troubleshooting). Solid understanding of CI/CD automation using GitHub Actions. Expertise in Secrets Management and integration with tools like HashiCorp Vault and HCP. Deep focus on Observability, scalability, and proactive operational improvements. Background in infrastructure and production operations with a clear SRE mindset. Nice to have Proficiency in Python for advanced automation and scripting. Experience with Data & AI infrastructure (working with Redis, ClickHouse, or similar). Familiarity with Observability stacks such as Prometheus and Grafana. Experience in regulated environments or enterprise-scale security patterns. Exposure to DataOps or high-traffic data platform architectures. 🎁 Perks Remote-first culture – work from anywhere! 🌍 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered In-Company English Lessons. Birthday off + an extra vacation week (Mutt Week! 🏖️) Referral bonuses – help us grow the team & get rewarded! Maslow: Monthly credits to spend in our benefits marketplace. ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team! \n Apply To This Job

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