204 Gcp Services Jobs

Design, develop, and maintain scalable full-stack applications using Java (Spring Boot) and react. Build and integrate event-driven systems using Apache Kafka within a GCP environment. Develop RESTful APIs and work with microservices architecture. Collaborate with cross-functional teams (DevOps, Product, QA) to deliver high-quality solutions. Ensure system responsiveness, performance, and scalability. Participate in code reviews, testing, and debugging. Leverage GCP services (e.g., Pub/Sub, Cloud Functions, BigQuery) to optimize application performance. Write clean, maintainable, and testable code. Experience in Java (Spring Boot) backend development. Hands-on experience with Angular/React.j...

Cloud Associate - CloudOps Experience : 2 to 3 years B.Sc Computers, BE, B.Tech or with equivalent experience Location : Mangalore (Onsite) Skills Required Communication skills: Should be able to communicate effectively with both technical and non-technical audiences. Collaboration skills: work closely with other teams, such as development, operations, and security, so they need to be able to collaborate effectively. Strong hands-on experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Dataproc, Cloud Functions. Programming languages: Python, SQL (must-have). Data orchestration: Apache Airflow / Cloud Composer. Streaming & batch data processing: Pub/Sub, D...

Role Overview: You will be working as a GCP Data Engineer at StatusNeo, where you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures on Google Cloud Platform. Your role will involve collaborating with data scientists, analysts, and other stakeholders to ensure that data systems are optimized for performance, reliability, and scalability. Key Responsibilities: - Design and implement data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Utilize tools like Apache Beam, Apache Spark, and Dataproc for data ingestion, processing, and transformation. - Manage and optimize cloud-based data storage solutions, ...

Role Overview: You will be responsible for providing input, support, and performing full systems life cycle management activities, including analyses, technical requirements, design, coding, testing, and implementation of systems and applications software. You will participate in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. Additionally, you will provide input to applications development project plans and integrations, collaborate with teams, and support emerging technologies to ensure effective communication and achievement of objectives. Key Responsibilities: - Guide and mentor a team o...

Role Overview: You will provide input and support for full systems life cycle management activities, collaborating with teams to ensure effective communication and support the achievement of objectives. Your tasks will include analyses, technical requirements, design, coding, testing, and implementation of systems and applications software. Additionally, you will be responsible for providing knowledge, development, maintenance, and support for applications. Key Responsibilities: - Design, develop, and maintain backend services and APIs using Node.js and frameworks like NestJS, often with TypeScript. - Deploy and manage applications on Google Cloud Platform, utilizing services such as Cloud R...

Role Overview: As a Technical Lead at a Fortune Global 500 organization like UPS, you will provide leadership in full systems life cycle management to ensure timely and budget-conscious delivery. Your role will involve directing component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. You will also be responsible for leading systems analysis and design, developing applications, defining integration builds, monitoring emerging technology trends, and providing maintenance and support. Key Responsibilities: - Guide and mentor a team of developers in leading the design and developme...

MLOps Engineer - Hyderabad Location Job Description: This role is crucial for delivering scalable, reliable, and efficient AI/ML solutions that include traditional ML models, AI Agents (using ADK), LLM-based applications, and Retrieval-Augmented Generation (RAG) systems for our business and customers. You will focus on designing and building data modeling pipelines to enable deployment, monitoring, and governance of our ML models and AI agents on Google Cloud Platform (GCP). Youll collaborate closely with data scientists and ML engineers to bridge model development and production operations, accelerating delivery of innovative and impactful solutions. Key Responsibilities As an MLOps Enginee...

Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Implement data quality checks and validation processes to ensure data integrity. Optimize database performance and troubleshoot issues as needed. Work closely with stakeholders to understand business needs and provide technical solutions. Job Requirements Strong knowledge of Google BigQuery, SQL, Python, Apache Airflow, and Oracle to BigQuery DWH migration and modernization. Experience with data processing technologies such as PySpark and GCS. Familiarity with database management systems like Oracle DB and PL/SQL. Excellent problem-solving skills and attention to detail. Ability ...

As an experienced cloud architect or systems engineer with over 12 years of experience, you will be responsible for leading the architecture and optimization of applications in ERP/CRM systems to ensure scalability. Your role will involve selecting appropriate technical options for development, identifying problem patterns, and optimizing efficiency, cost, and quality. You will interpret application designs, validate results with user representatives, and influence customer satisfaction through code refactoring and process improvements. Key Responsibilities: - Select appropriate technical options for development - Identify problem patterns and improve technical design - Validate results, int...

Title: Devops Engineer Skill- Devops -terraform-GCP Cloud Location- Chennai /Hyderabad/Bangalore Exp:9+ yrs Job Description Devops -Terraform; C1 Demand: Exp :9 +yrs Deliver GCP Cloud Engineering services for the Data, DB and Storage Lab. Curate, provision, Build and Engineer GCP Infra and Product resources via Terraform IaaC. Build automation, policies, guardrails to catalogue ready products on the platform for Business use. Support Incidents, Issues on the platform and product raised by business & CIOs. Proficient expertise on GCP Cloud, GCP DevOps, Terraform (IaaC), Jenkins, CI/CD, GitHub, Harness. Experience using any IDE platform (e.g. Backstage IDP) for Cloud Engineering. Please drop y...

Overall 6-11 Years experience 4-5 Years as an architect- AWS/GCP/Azure Data engineering Python/Pyspark Cloud services

Job Description: We are looking for a GCP Data Engineer with strong experience in building scalable data pipelines and data platforms on Google Cloud. The role involves developing ETL/ELT workflows, managing BigQuery data models, and handling real-time/batch data processing at scale. Key Responsibilities: Design and develop ETL/ELT pipelines using Dataflow, Dataproc, Cloud Functions, Composer . Build and manage data warehouses/lakes with BigQuery and Cloud Storage . Work with streaming systems using Pub/Sub + Dataflow . Optimize BigQuery performance and cost. Implement data quality, security, and IAM best practices. Collaborate with analytics and ML teams for data availability. Required Skil...

Noventiq is hiring! Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions. Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company's growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is sup...

You will play a critical role as a GCP Architect at EY, leading a migration project to seamlessly transition workloads, applications, and services to Google Cloud Platform (GCP) while integrating with other cloud environments like AWS and Azure. Your deep expertise in cloud architecture, security, networking, and automation will be essential for the successful execution of this project. **Key Responsibilities:** - **Cloud Strategy & Architecture:** Design and implement scalable, secure, and cost-effective GCP architectures for a multi-cloud environment. - **Migration Planning:** Develop and execute migration strategies for applications, data, and infrastructure from on-premise or other cloud...

Role Overview: As a Backend Developer & Lead with 6 to 12 years of experience in backend development with Python, you will be responsible for building scalable REST APIs and microservices. You will work with frameworks like FastAPI and demonstrate strong API design and integration skills. Additionally, you will have hands-on experience with GCP services, BigQuery, and data orchestration between systems. Your familiarity with SQL / NoSQL databases, asynchronous programming, CI/CD pipelines, unit/integration testing, and containerization will be crucial for the role. Moreover, you will need to understand API security, OAuth2, and token-based authentication flows. Key Responsibilities: - Build ...

As a Senior Voice AI Developer / Voice AI Architect at our company located in Sector-142, Noida, you will play a crucial role in spearheading our AI initiatives. Your primary responsibility will involve designing AI systems, collaborating with multidisciplinary teams, and ensuring scalable and sustainable AI solutions are integrated across various aspects of our business. Key Responsibilities: - Design, develop, and oversee the implementation of end-to-end AI solutions. - Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization. - Create architectural approaches for AI software and hardware integration. - Define AI solution objectives and ensur...

You will be responsible for designing and implementing scalable, reliable, and efficient data pipelines and architectures across Google products and services. Your role will involve developing and maintaining data models, schemas, and ontologies to support various data sources and use cases. You will evaluate and recommend new data technologies and tools to enhance infrastructure and capabilities. Collaboration with product managers, engineers, and researchers to define data requirements and deliver technical solutions will be a key aspect of your responsibilities. Building and optimizing batch and real-time data pipelines using Google Cloud Platform (GCP) services like Dataflow, Dataproc, P...

You have expertise in handling large scale structured and unstructured data efficiently. You are familiar with the use of Docker tools, pipenv/conda/poetry env, and comfortable following Python project management best practices. You have a high familiarity with DL theory/practices in NLP applications and can code in various frameworks such as Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, and Pandas. Additionally, you are comfortable using open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others. Your knowledge includes fundamental text data processing, such as regex, token/word analysis, spelling correction, noise reduction in text, ...

5+ years of QA experience with a focus on automation and cloud-native environments. Hands-on expertise in automation tools such as Selenium, Cypress, or Playwright. Experience with ETL/data pipeline testing, including validating source-to-target data mapping, transformations, and aggregation logic. Proficient in writing and executing complex SQL queries for data validation. Working knowledge of GCP services such as BigQuery, Pub/Sub, Cloud Functions, Cloud Storage, etc. Familiarity with API testing using Postman, RestAssured, or similar tools. Scripting knowledge in Python, JavaScript, or Java for test automation. Experience working in CI/CD pipelines and version control (Git).

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Location: Pune/Hyderabad/Bengaluru/Chennai/Coimbatore Work Mode: Hybrid (2-3 days office in a week) Full time Job Description: 5-14 Years of in Big Data & Data related technology experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Experience with building stream-processing systems, using technologies such as Apache Storm or Sp...

As a Full-Stack AI App Developer at EMO Energy, you will play a key role in reimagining urban mobility, energy, and fleet operations through our AI-driven super app. You will have the opportunity to take full ownership of building and deploying a cutting-edge energy infrastructure startup in India. **Key Responsibilities:** - Architecting and developing a full-stack AI-enabled application - Designing modular frontend views using React.js or React Native - Creating intelligent agent interfaces - Building secure backend APIs for managing energy and fleet operations - Integrating real-time data workflows - Implementing fleet tracking dashboards - Optimizing performance across various platforms ...

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best p...

Role Overview: As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, an...

About the Role We are seeking GCP AI Cloud Engineers / Architects to design, deploy, and manage AI/LLM infrastructure at scale. You will work with cutting-edge tools such as Vertex AI, LangChain, and vector databases (Pinecone, Chroma, FAISS), integrating with APIs and multi-cloud environments. This is a highly visible role where your work will directly impact AI product capabilities and delivery. Key Responsibilities Build and maintain AI/ML pipelines and cloud infrastructure in GCP. Integrate with GenAI services, APIs, and LLM frameworks. Experiment with and analyze new LLM models and AI features as they become available. Implement security, IAM, and compliance policies for AI models and d...

As an experienced Big Data Engineer, you will be responsible for the following: - Designing, developing, and optimizing scalable Big Data pipelines. - Working closely with cross-functional teams on data acquisition, transformation, and processing. - Performing ETL workflows, data ingestion, and data processing using the Hadoop ecosystem. - Building and maintaining data solutions ensuring performance, scalability, and reliability. - Monitoring, troubleshooting, and tuning data pipelines to ensure optimal performance. Mandatory Skills: - Big Data / Hadoop Technologies: Hive, HQL, HDFS - Programming: Python, PySpark, SQL (Strong query writing) - Schedulers: Control-M or equivalent scheduler - D...