76 to 100 of 176 Permanent Cloud Functions Jobs

success. Role Description : We are seeking an experienced Senior SRE/DevOps Engineer to play a key role in our cloud migration initiative from AWS to Google Cloud Platform (GCP) for our high-traffic social media application. You will be responsible for driving the design, implementation, and operational excellence of our new GCP environment, working collaboratively … address issues and fine-tune system performance. Security & Compliance: Ensure the infrastructure complies with relevant security standards and policies, implementing practices like VPC configuration, IAM best practices, and Cloud … Armor for protection. Required Qualifications : Experience: 5+ years of experience in DevOps, SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker More ❯

success. Role Description : We are seeking an experienced Senior SRE/DevOps Engineer to play a key role in our cloud migration initiative from AWS to Google Cloud Platform (GCP) for our high-traffic social media application. You will be responsible for driving the design, implementation, and operational excellence of our new GCP environment, working collaboratively … address issues and fine-tune system performance. Security & Compliance: Ensure the infrastructure complies with relevant security standards and policies, implementing practices like VPC configuration, IAM best practices, and Cloud … Armor for protection. Required Qualifications : Experience: 5+ years of experience in DevOps, SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker More ❯

success. Role Description : We are seeking an experienced Senior SRE/DevOps Engineer to play a key role in our cloud migration initiative from AWS to Google Cloud Platform (GCP) for our high-traffic social media application. You will be responsible for driving the design, implementation, and operational excellence of our new GCP environment, working collaboratively … address issues and fine-tune system performance. Security & Compliance: Ensure the infrastructure complies with relevant security standards and policies, implementing practices like VPC configuration, IAM best practices, and Cloud … Armor for protection. Required Qualifications : Experience: 5+ years of experience in DevOps, SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker More ❯

data pipelines, ensuring data integrity, and enabling data-driven decision-making. The ideal candidate will have a strong background in data engineering and analytics, with expertise in Google Cloud Platform (GCP) services. This role requires a blend of technical proficiency, analytical thinking, effective project & time management, and communication skills. You will have the opportunity to engage in diverse … documentation, coding best practices. Take initiative to improve and optimise analytics engineering workflows and platforms Key Responsibilities Design, develop, and maintain scalable data pipelines on GCP (Or other cloud services ie. Snowflake) using services such as BigQuery and Cloud Functions. Designing and building data models for analytics, reporting, and data science applications in Looker/Metabase … data warehousing skills demonstrated in data environments Excellent Python & SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Good attention to detail to highlight and address data quality issues Excellent time management and proactive problem-solving skills What More ❯

You’ll play a critical role in maintaining uptime, resolving incidents , and automating infrastructure for Elwood’s EMS and PMS platforms, which are built on AWS and GCP cloud environments. This is a highly visible role that blends deep technical ownership with cross-functional collaboration. In addition to core SRE responsibilities, you will support our Technical Account Managers … GCP). Experience with automation tools like Terraform . Proficient in at least one scripting language (Python, Bash, Go, etc.). Solid understanding of Linux systems, networking, and cloud-based architectures. Experience working with container orchestration platforms like Kubernetes . Proficient with CI/CD pipelines, preferably with cloud-native tools (e.g.,GitHub). Ability to … with client-impact triage , working cross-functionally with account managers or product teams. Proficiency with Datadog or similar observability platforms. Knowledge of serverless architectures (e.g., AWS Lambda, GCP Cloud Functions). Familiarity with RDBMS and NoSQL databases , such as RDS, CloudSQL, DynamoDB. Prior experience in fintech , trading platforms, or 24/7 financial infrastructure. Strong understanding More ❯

founded in 2006 and consists of qualified software and data specialists who help organizations innovate and grow their business by building data-driven solutions. We are a Premier Google Cloud partner. We believe that the foundation for a successful solution lies in three dimensions: people, processes, and technology. At Crystalloids, we always consider all three when building solutions … KNVB, Body & Fit, FD Mediagroep, and ACSI. What Will You Do as a DevOps/FinOps Developer? Building on Crystalloids' expertise in scalable and maintainable software solutions on Google Cloud, you will work on projects that leverage serverless technologies. Your role involves embedding high-quality software engineering practices into data-driven processes while maintaining the operational health and … cloud environments. You will also gain hands-on experience in managing, monitoring, and reporting on production incidents and problems, and you will deepen your knowledge of Google Cloud solutions. If you are a beginner developer with a passion for efficient, secure, and cost-conscious solutions, and you value collaboration, innovation, and quality, we'd love to More ❯

founded in 2006 and consists of qualified software and data specialists who help organizations innovate and grow their business by building data-driven solutions. We are a Premier Google Cloud partner. We believe that the foundation for a successful solution lies in three dimensions: people, processes, and technology. At Crystalloids, we always consider all three when building solutions … KNVB, Body & Fit, FD Mediagroep, and ACSI. What Will You Do as a DevOps/FinOps Developer? Building on Crystalloids' expertise in scalable and maintainable software solutions on Google Cloud, you will work on projects that leverage serverless technologies. Your role involves embedding high-quality software engineering practices into data-driven processes while maintaining the operational health and … cloud environments. You will also gain hands-on experience in managing, monitoring, and reporting on production incidents and problems, and you will deepen your knowledge of Google Cloud solutions. If you are a beginner developer with a passion for efficient, secure, and cost-conscious solutions, and you value collaboration, innovation, and quality, we'd love to More ❯

and mobile platforms Experience deploying applications in Kubernetes environments Solid understanding of CI/CD pipelines and DevOps practices Familiarity with Firebase services such as authentication, analytics, and cloud functions Strong problem-solving skills and attention to detail Excellent communication and teamwork abilities Preferred Skills Prior experience working with federal clients Active CBP BI Experience working … in Agile teams Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) Contribution to open-source or personal GitHub projects Local to DMV area 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 ❯

Engineer, you’ll be responsible for building and maintaining scalable, efficient, and reliable data pipelines. You’ll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain robust data pipelines. Work with … Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools like Terraform. Ensure data quality and compliance with governance standards. More ❯

to assess, manage, and improve software quality. More specifically, you will contribute to systems that enable customers to drive quality for native mobile iOS and Android applications. These cloud-hosted systems, built on modern frameworks and generative AI, use a combination of mobile testing tools and mabl's sophisticated test automation intelligence to support low-code test creation … parallelized test executions. You will have a direct impact on mabl's business, customers, and culture. What you will do Design, build, and maintain the features, services, and cloud infrastructure to support mabl's testing platform for native mobile apps Work as part of a small, self-directed team to define, implement, test, and support solutions to high … are a skilled in multiple software development disciplines. You are comfortable writing code used in end-user products; and you have devops skills to work with tooling and cloud infrastructure to support the product. You are excited to grow your experience developing cloud-native web applications in a challenging problem space You are conversant in modern More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

Development: 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 into Google Cloud environments Data Transformation: Implement data transformation processes including 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 on Google Cloud platforms Data Integration: Integrate data from multiple sources (on-prem and cloud-based) using Cloud Composer or other tools Data Lakes: Build data lakes using Google Cloud services such as BigQuery Performance Optimization: Optimize data pipelines and queries for improved performance and scalability … Experience Experience with data analytics and Big Data technologies Knowledge of cloud security best practices and compliance standards Experience with agile development methodologies GCP Certifications (e.g., Google Cloud Certified Professional Cloud Developer) Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Information Technology Industries Software Development Referrals More ❯

range Direct message the job poster from 83zero Building Technical Support Engineering teams in EMEA & US Our client is seeking a skilled Platform Engineer to join their innovative Cloud Engineering team. This role is crucial in utilizing AWS services to monitor, maintain, and improve the infrastructure supporting their SaaS platform. The ideal candidate will be a self-starter … CD pipelines, as well as broader monitoring and automation efforts to support high-quality code development. KEY RESPONSIBILITIES Monitoring existing cross-platform environments in AWS and Azure. Optimizing cloud resource usage and managing associated costs. Designing, building, and maintaining scalable and secure AWS cloud environments. Automating repetitive, manual tasks to enhance efficiency and reduce errors, freeing … technologies and best practices, and sharing insights with the wider engineering department. CORE COMPETENCIES AND SKILLS Experience with serverless computing services (e.g., AWS Lambda, Azure Functions, Google Cloud Functions). Strong knowledge of Infrastructure as Code (IaC) tools, preferably Terraform or CloudFormation. Ability to analyze issues using CloudWatch logs. Deep understanding of cloud More ❯

web and mobile development. The ideal candidate has intermediate-level knowledge of Python or JavaScript, SQL (PostgreSQL, MySQL, Oracle), understands Data Warehouse fundamentals, and is comfortable working with cloud deployment and automation tools. Your Journey Design, implement, and maintain secure network architectures (VPNs, firewalls, IDS/IPS). Monitor network traffic and detect potential vulnerabilities or threats. Open … and reporting. Help document security policies, procedures, and technical guidelines. Understand the basics of Data Warehousing: analytic structures, data transformation, hierarchies. Knowledge in CLoud platforms (AWS, Google Cloud, Azure) Deploy applications or cloud functions using Cloud Functions, Cloud Run, or similar platforms. Integrate cyber security measures … into DevOps workflows (desirable). What do you bring to your trip Networking: TCP/IP, DNS, VPNs, firewalls, network security protocols. Cloud: serverless deployment with Cloud Functions/Cloud Run. Version control & CI/CD: Git, basic continuous integration/delivery pipelines. Analytical and problem-solving mindset. Ability to work in More ❯

Engineer, you'll be responsible for building and maintaining scalable, efficient, and reliable data pipelines. You'll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain robust data pipelines. Work with … Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools like Terraform. Ensure data quality and More ❯

pair or mob programming, participating in regular workshops and planning sessions, primarily over Zoom, with occasional in-person collaboration. We embrace modern development practices: All our services are cloud-hosted on AWS, using serverless and event-driven architectures for scalability and resilience. We use a fully automated deployment pipeline, allowing you to ship code to production within minutes … improvement. Your responsibilities Build services that meet customer and stakeholder needs Translate abstract problems into clear, well-defined technical solutions. Write clean, maintainable code using Python and AWS cloud tooling. Ensure quality through test driven development and continuous integration. Define and monitor performance expectations using observability tooling. Build secure solutions by following data protection best practices and incorporating … databases. Proficiency in one or more scripting languages such as JavaScript, TypeScript, or Python. Experience working within the Software Development Life Cycle (SDLC). Hands-on experience with Cloud platforms like AWS, Azure, or Google Cloud, including services like AWS Lambda, Azure Functions, or Google Cloud Functions. Familiarity with DevOps principles and More ❯

of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain More ❯

to clients' first-party data, we create innovative solutions and unlock the power of AI, delivering tangible ROIs for our clients. Our expert consultants orchestrate Google Marketing and Google Cloud technologies to unlock ultimate AI-powered performance within our client’s organisation. About the Role As one of our Data Engineers, you will be part of a team … automation solutions and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure … and clients to uncover their unique marketing challenges, business objectives, and current architectures. You will translate their needs into actionable product roadmaps that leverage Google Marketing Platform and Google Cloud solutions. Responsibilities Lead the design, development, and optimization of scalable data pipelines using Python and GCP. Configure and manage complex integrations between Google Marketing Platform tools, Google Cloud More ❯

to clients' first-party data, we create innovative solutions and unlock the power of AI, delivering tangible ROIs for our clients. Our expert consultants orchestrate Google Marketing and Google Cloud technologies to unlock ultimate AI-powered performance within our client’s organisation. About the Role As one of our Data Engineers, you will be part of a team … automation solutions and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure … and clients to uncover their unique marketing challenges, business objectives, and current architectures. You will translate their needs into actionable product roadmaps that leverage Google Marketing Platform and Google Cloud solutions. Responsibilities Lead the design, development, and optimization of scalable data pipelines using Python and GCP. Configure and manage complex integrations between Google Marketing Platform tools, Google Cloud More ❯

of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain More ❯