AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What were looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc. More ❯
in Infrastructure as Code (IaC) and proven experience in Terraform/Terraform Cloud . Curate and deliver scalable GCP Cloud Products and Infrastructure as code. Build automated workflows using Python scripting . Proficient in Google Kubernetes Engine (GKE), Container, Istio Service Mesh, Cluster Management . Audit and restructure existing Terraform modules and state files. Migrate legacy configurations into unified, reusable … automation pipelines for infrastructure-as-code deployments and CI/CD integration. Skills, Experience, and Abilities Required: Essential: GCP Cloud Engineering, GCP DevOps & Infra Terraform/Terraform Cloud (IaC) Python Scripting Experience with Harness, Jenkins, GitHub Google Kubernetes (GKE), Container, Istio Service Mesh GCP Organisation Policy, Custom Org Policy (Policy as Code) Sentinel/OPA GCP and Terraform Certified Good More ❯
a fast-paced, research-driven environment. Key Responsibilities Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability. Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing. Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and … or multi-agent systems. Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes). Good programming skills, master of at least one language, such as Python, and/or C/C++. Good communication and teamwork skills. Desired: PhD in computer science, distributed systems, machine learning, or a related field. Experience in the full lifecycle of More ❯
templates Data extraction and transformation from structured and unstructured sources Collaborate with clients to define reporting ontologies, workflow requirements, and automation goals. Rapidly prototype and iterate AI solutions using Python, AWS, and containerized environments. Ensure robust testing, performance tuning, and continuous improvement of deployed agents. Essential Skills: Strong proficiency in Python , containerized application development. Proven track record in AI/ More ❯
