Cloud Engineer

Aambience Services is an innovative company, providing workflow automation solutions and information technology services. What makes us different is our strong desire to challenge the status quo, inspire and create ground-breaking solutions. We build relationships of trust with our clients, on solid foundations of quality and know-how, while creating great experiences, through great customer service. Our team consists of experienced professionals with a passion for their work. They are the cornerstone of our company’s dynamic culture and stand as strong and reliable partners towards our customers’ concerns and needs. This is why we have built a diverse environment that maximizes employee engagement and performance, based on our key value to invest on and develop our people and teams. We are looking for a Cloud Engineer who can help the company move to the next level as we are undergoing a transition into more cloud-based solutions. What you should bring to the table is your experience in setting up projects from scratch and your enthusiasm to transform an organisation and to bring value through the latest best practices and tools on the cloud! What you’ll do (and enjoy!): Set up and evolve cloud-based environments for SaaS products (multi-environment setups, security, scalability, cost awareness)Design and implement CI/CD pipelines for applications and infrastructure (build/test/release automation, branching strategies, release confidence)Infrastructure as Code (IaC): create reusable modules, version-controlled environments, and automated provisioning (e.g., Terraform/CloudFormation/Bicep)Support the transition from Azure to AWS by delivering hands-on implementations on AWS, while maintaining and improving existing Azure workloads (migration waves, risk management, service continuity)Implement and operate multi-cloud foundations and shared services (landing zones, identity & access, networking, secrets, tagging/FinOps) together with the teamSupport Data Engineering workloads by provisioning and operating data platforms and pipelines (batch/streaming), ensuring reliability and performanceImplement and operate observability for services and pipelines using Prometheus and Grafana (dashboards, alerting, SLO-oriented monitoring)Collaborate with engineers to improve deployment patterns (containers/Kubernetes when applicable), troubleshooting and incident responseIntroduce DevOps practices (automation, documentation, runbooks) and share knowledge with the team to improve day-to-day deliveryWork with the security officer to apply security best practices (least privilege, secrets management, vulnerability scanning) and support compliance requirements Requirements What we want from you: BSc/MSc in Computer Science, Engineering, or any other relevant degree3-5+ years of experience as a Cloud Engineer (or DevOps/Platform Engineer) supporting production environmentsHands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps) and release processesStrong Infrastructure as Code mindset and tooling experience (Terraform/CloudFormation/Bicep), with code reviews and modular designStrong hands-on experience with AWS (IAM, VPC, compute, storage, monitoring) and the ability to support existing Azure workloads with familiarity in key Azure building blocks (Entra ID, networking, Azure DevOps, Bicep/ARM)Solid understanding of cloud networking and security fundamentals (IAM/RBAC, VPC/VNet, security groups/firewalls, TLS, secrets)Observability experience with Prometheus & Grafana (metrics, dashboards, alert rules) and ability to troubleshoot using logs/metricsExposure to Data Engineering architectures and tools (data lakes/warehouses, ETL/ELT, orchestration like Airflow/dbt, streaming concepts)Comfortable with containers (Docker) and container-based deployment patternsGood communication skills, ownership mindset, and ability to collaborate across engineering, product, and security What is nice to have: Hands-on AWS migration experience (workload assessments, migration strategies, cutover planning)Hybrid connectivity and identity federation between clouds (VPN/peering, SSO, centralized IAM patterns)Containers at scale and orchestration experience (Kubernetes/EKS/AKS)Deeper Data Engineering ecosystem experience (e.g., Databricks, Spark, Airflow/dbt in production, streaming platforms)Security and compliance automation (policy-as-code, vulnerability management, audit readiness) Benefits 💸 Competitive renumeration package🏥 Private medical insurance🎯 Performance based bonus📚 Training & development opportunities🤝 A team that loves innovation, quality, and having fun at work⚖️ Work-life balance If you want to actively contribute to shaping a culture of continuous learning and improvement, send us your resume and become part of our exciting journey!