51 to 75 of 80 Permanent Cloud Run Jobs

leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.****We’ve been recognized with:*** **17x Google Cloud Partner of the Year awards in the last … Advanced Python coding skills, including data structures, algorithms, and software design.*** **Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD.*** **Google Cloud Professional ML Engineer certification.**### ****Technical Skills***** **GCP Stack (Mandatory):** + **AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE)** + ...

days in the office each week. You will design, build, and deliver high-quality solutions across the full technology stack in a cloud-native environment, collaborating with Product, Delivery, and Platform teams to enable secure, scalable, and user-focused applications. Responsibilities Design, develop, and maintain scalable full-stack … back-end development experience using C# and .NET frameworks. Strong understanding of RESTful APIs, API design best practices, and microservices architecture. Experience with Google Cloud Platform (GCP) or another major cloud provider, including managed services and database integrations. Strong knowledge of CI/CD pipelines, source ...

What You’ll Bring Hands-On Engineering: Strong software engineering capabilities (e.g. Python, TypeScript/Node.js) with experience building and maintaining production systems. Cloud & Data Experience: Practical experience with cloud infrastructure (preferably GCP: Cloud Run, BigQuery, Secret Manager) and building API-driven ...

tenant Data Integration Platform (GCP/Airflow) Lead the engineering delivery and technical direction for a scalable, multi-tenant data integration platform on Google Cloud Platform (GCP). The platform uses Apache Airflow to orchestrate ETL pipelines and enables reliable movement of data from source systems through … environments. Strong hands‐on experience building production‐grade ETL/ELT pipelines and orchestration with Apache Airflow . Solid experience on Google Cloud Platform , such as: Data services (e.g., BigQuery, Cloud Storage, Pub/Sub, Dataflow) and/or container platforms (e.g., GKE, Cloud ...

Elasticsearch models & queries Integrate AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user value. 25% Scale & operate Ship and run services on AWS and/or GCP (ECS/EKS/Lambda or Cloud Run/GKE), containerized with Docker. … Pydantic schemas, pagination, auth (OAuth2/OIDC), rate‐limits, background jobs. Elasticsearch fluency: mappings/analyzers (ngrams, synonyms), aggregations, filters, sorting, performance tuning. Cloud & DevOps : solid experience on AWS and/or GCP , Docker, Terraform, GitHub Actions, monitoring/alerts. Datastores : Postgres (SQL, migrations), Redis (caching/queues ...

Langgraph, Microsoft Agent Framework, Llamaindex and other Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding … scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks. The ability to demonstrate the potential that scaling AI unlocks business ...

similar modern AI frameworks Experience developing and deploying AI solutions on Azure AI Foundry, Azure AI Studio, AKS, Google Vertex AI, Cloud Run, Snowflake Cortex AI, or Snowpark Strong software engineering skills including Python, CI/CD pipelines, GitHub Actions, Azure DevOps, Docker, and Kubernetes Experience ...

SAIRATM (Sensiwise AI Readiness Assessment) platform helps businesses benchmark their AI maturity, identify gaps, and build actionable roadmaps. Alongside our consulting work, we run the Sensiwise AI Academy, sharing knowledge across technical and non‐technical audiences in multiple languages. At Sensiwise AI, we believe the best … deployed models and pipelines for drift, degradation, data issues, and cost, and iterate to improve them Containerise and deploy workloads with Docker on cloud platforms (AWS, GCP, and/or Azure), using CI/CD where appropriate Write clean, well‐documented, testable code, and participate in code reviews ...

environments. Strong hands-on experience building production-grade ETL/ELT pipelines and orchestration with Apache Airflow . Solid experience on Google Cloud Platform , such as: Data services (e.g., BigQuery, Cloud Storage, Pub/Sub, Dataflow) and/or container platforms (e.g., GKE, Cloud Run) IAM, networking, secrets management, and environment separation Strong software engineering foundations: Python, APIs, configuration management, testing strategy, and performance tuning. CI/CD expertise (pipeline tooling, release controls, automated quality gates) and Infrastructure-as-Code experience (e.g., Terraform). Experience designing for reliability: retries, idempotency ...

Langgraph, Microsoft Agent Framework, Llamaindex and other* Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars* Leading multi-disciplinary teams to execute complex requirements* Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large … scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks.* The ability to demonstrate the potential that scaling AI unlocks business ...

flat-structure organization. Your responsibilities are to contribute to the delivery of end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the delivery and implementation … Collaborative, curious, and comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation … Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies ...

writing production code in Golang or another strict typed language Experience using cloud based serverless services (such as AWS Lamba, Google Cloud Run or Azure Functions) Must have a demonstrable knowledge building and maintaining CI/CD pipelines Experience designing, setting up databases ...

engineering and writing production code in Golang or another strict typed languageExperience using cloud based serverless services (such as AWS Lamba, Google Cloud Run or Azure Functions)Must have a demonstrable knowledge building and maintaining CI/CD pipelinesExperience designing, setting up databases ...

writing production code in Golang or another strict typed language Experience using cloud based serverless services (such as AWS Lamba, Google Cloud Run or Azure Functions) Must have a demonstrable knowledge building and maintaining CI/CD pipelines Experience designing, setting up databases ...

flat-structure organization. Your responsibilities are to contribute to the delivery of end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the delivery and implementation … experience on AWS and/or GCP, with AWS preferred.Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub.Experience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge, guardrails ...

work, Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You’re not expected to be an expert in all of these, but we would ...

Turborepo monorepo, React 19 with TanStack Start, Router and Query, Tailwind CSS, Prisma and PostgreSQL (Supabase), Better-Auth and Stripe, deployed to Google Cloud Run via GitHub Actions with Terraform-managed infrastructure. Comfort with AI-assisted development and experience using tools like Cursor or Claude sensibly ...

keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks ...

looking for a Senior Java developerYou will need Java experience with data applications and working with large amounts of data, SDLC, REST APIs, cloud experience – Dataflow, Cloud Run, Composer.This will be a hybrid solution and you will be expected to be in the office ...

Proactively identify data discrepancies, performance bottlenecks, and architectural improvements to keep our data platform resilient and scalable. Requirements: Strong hands-on experience with Google Cloud Platform (GCP), in particular BigQuery, Cloud Run, DataSteam. Proficiency in dbt (data build tool), including testing, documentation, and dimensional ...

businesses that have outgrown spreadsheets and generic trade software. We give them tools designed for their world, so they can win more work, run more efficiently, and scale. Clean energy is being installed faster than ever, and the installers doing that work are at the centre of it. … patterns and the bar, through review and through the work itself Frontend React, React Native/Expo, TypeScript, Tailwind, Figma Infrastructure Google Cloud Run, Firebase Hosting, Terraform, CircleCI Monorepo, pnpm, MacBook Pro AI tools Claude Code, Claude Agent SDK, Paperclip, Wispr Flow, GitHub Copilot What ...

software engineering experience• Shipped a real LLM-backed product to production users, demos and POCs don't count• Hands-on GCP + Kubernetes (Cloud Run, IAM, Secret Manager)• Strong production Python• Strong production Java with Spring Boot, designs, builds, tests, reviews REST services independently• Practical fluency ...

enabled dev practices across the team. The role requires strong production Python and Java with Spring Boot, along with hands-on Kubernetes and Cloud Run. You’ll work on REST APIs and modernize legacy Java systems. #J-18808-Ljbffr ...

join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.The role:Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This … symptoms.Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams.Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling.The interview process:Screening call with Chess ...