22 of 22 Cloud Functions Jobs

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion for building scalable, cloud-deployed products that solve real-world communication challenges. The Role We’re looking for a QA & Support Engineer to ensure our products are robust and our users are supported. … to drive improvements. You’ll Work With WebRTC UC clients AI speech-to-text & sentiment software SaaS platforms built on PHP (Laravel), Node.js and React/React Native Google Cloud Platform (Cloud Run, Cloud Functions, Cloud SQL etc.) GitLab CI/CD Requirements Essential: Experience in QA/test automation … Ability to communicate clearly with technical and non-technical users. Comfortable documenting and managing bugs and support tickets. Desirable: Experience maintaining servers and understanding deployment environments. Familiarity with Google Cloud Run or similar serverless/container-based platforms. Knowledge of WebRTC, VoIP or UC systems. Understanding of CI/CD pipelines. Experience with REST APIs and JSON. Interest More ❯

a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and … Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure More ❯

Title: Data Quality Engineer Work Location: Cardiff, UK (Twice a month) The Role: Data Quality Engineer Responsibilities: As part of a multi-discipline team challenged with building a cloud data platform, you will be responsible for ensuring the quality of the services and applications we are developing. This will include: Defining tools and frameworks to develop and maintain … framework. Experience in Azure DevOps, integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner. Good knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Functions (any Cloud). Hands-on experience with one or more programming languages (Java/JavaScript). Experience with non-functional testing using JMeter or … of QA's role in agile ceremonies. Knowledge of Jira, Zephyr for Test Management. Proficient testing experience. Desirable Skills/Knowledge/Experience: Experience with automating tests within Cloud Platforms. Programming knowledge in Java. Enthusiastic mentor for the team, encouraging automation as a definition of done. Leading test automation strategy and mentoring testers on automation testing processes. Experience More ❯

in supporting business and analytics teams in Financial Services industry by designing, developing, and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server. … facilitate timely and accurate financial status reporting Skills and Attributes for Success To qualify for the role, you must have: Experience in one or more of the following Cloud Platforms: Core Azure SQL and MSSQL server Deep understanding of Azure-native services for data engineering. Experience with Azure Key Vault, Azure Monitor, and RBAC. AWS: Experience with S3 … Glue, Redshift, and Lambda. Familiarity with IAM, CloudWatch, and Athena. Experience with BigQuery, Cloud Storage, and Dataflow. Familiarity with Cloud Functions, IAM, and Vertex AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL More ❯

execute the integration of our current infrastructure into TransUnion's group-wide cloud platform while minimising disruptions. Participate in the migration of infrastructure from AWS to Google Cloud Platform (GCP), ensuring a smooth transition and leveraging GCP services effectively. DevOps & Security: Maintain robust CI/CD pipelines, collaborating closely with development teams to streamline deployment processes. … configuration (Apache, Nginx). Database management (MySQL, MongoDB), including high availability and backup solutions. Hands-on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation … highly organised, and capable of driving initiatives from concept to delivery. Excellent communication and stakeholder management skills. Desirable Skills: Experience with serverless infrastructure (e.g., AWS Fargate, Lambda, GCP Cloud Functions). Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as More ❯

the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that … day working from home. What You’ll Do Build and maintain performant, reliable web applications using React, TypeScript, and Next.js Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces Write clean, testable, and maintainable code following best practices … We’re Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and More ❯

the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that … day working from home. What You’ll Do Build and maintain performant, reliable web applications using React, TypeScript, and Next.js Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces Write clean, testable, and maintainable code following best practices … We’re Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and More ❯

the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that … day working from home. What You’ll Do Build and maintain performant, reliable web applications using React, TypeScript, and Next.js Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces Write clean, testable, and maintainable code following best practices … We’re Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and More ❯

the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that … day working from home. What You’ll Do Build and maintain performant, reliable web applications using React, TypeScript, and Next.js Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces Write clean, testable, and maintainable code following best practices … We’re Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and More ❯

the web applications and APIs that power our ecosystem — everything from client dashboards and integration tooling to our own internal products. Our stack includes React, TypeScript, Next.js, and Google Cloud Platform (GCP). You’ll collaborate closely with designers to create exceptional user experiences, and with platform engineers to design and implement serverless APIs and background services that … day working from home. What You’ll Do Build and maintain performant, reliable web applications using React, TypeScript, and Next.js Contribute to our serverless GCP architecture — including Cloud Functions, Firestore, and Cloud Run Collaborate with designers and product managers to deliver beautiful, intuitive user interfaces Write clean, testable, and maintainable code following best practices … We’re Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and More ❯

experience with data engineering principles and practices, including data extraction, transformation, and loading (ETL). Solid SQL/BQ skills for data querying and manipulation. Extensive experience with Google Cloud Platform (GCP) AI/ML services is highly desirable (e.g. Vertex AI, Cloud Functions, BigQuery). Deep understanding of machine learning algorithms and techniques More ❯

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP). This is a opportunity to work with a forward-thinking consultancy delivering real-world AI solutions to public and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong … hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently and collaboratively in fast-paced environments Role More ❯

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP). This is a opportunity to work with a forward-thinking consultancy delivering real-world AI solutions to public and private sector clients. Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning … Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently and collaboratively in fast-paced environments More ❯

growth, covering frontend, backend, storage, CI/CD, security, and monitoring. Strong coding skills in TypeScript and Node.js, plus modern SPA frameworks (preferably Angular). Deep knowledge of cloud native architecture on GCP or similar Proven experience with high scale data systems: document DBs, hot paths vs. cold paths, indexing, and cost/perf trade offs. Solid grasp … data protection, multi tenant design, auditability. Clear written and verbal communication with distributed and non native English speaking teams. Bonus if you have: Firebase/Firestore at scale, Cloud Functions, Pub/Sub, Redis. NX monorepo workflows, trunk based development, feature flags. Image heavy or real time systems, computer vision pipelines, or human in the loop More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯

to development best practices. Collaborate with cross-functional teams to gather requirements and implement scalable software systems and applications. Contribute to the design and optimization of microservices and cloud-based system architectures. Prototype and implement new features to enhance our financial technology platform. Participate in on-call rotations as level 1 support engineer for our data platform services. … required 3+ years of professional development experience with a multi-person engineering team, leveraging modern practices like code reviews, CI/CD, and trunk-based development. Experience in cloud ecosystems, particularly Google Cloud Platform services like BigQuery, Pub/Sub, or Cloud Functions. Required Skills/Abilities Proficiency in software development using modern programming More ❯