220 Gcp Cloud Jobs - Page 3

Required Skills Strong proficiency in Python (3.x) and Django (2.x/3.x/4.x) Hands-on experience with Django REST Framework (DRF) Expertise in relational databases like PostgreSQL or MySQL Proficiency with Git and Bitbucket Solid understanding of RESTful API design and integration Experience in domain pointing and hosting setup on AWS or GCP Deployment knowledge on EC2 , GCP Compute Engine , etc. SSL certificate installation and configuration Familiarity with CI/CD pipelines (GitHub Actions, Bitbucket Pipelines, GitLab CI) Basic usage of Docker for development and containerization Ability to independently troubleshoot server/deployment issues Experience managing cloud resources like S3 , Load Balancers , and IAM roles Preferred Skills Experience with Celery and Redis / RabbitMQ for asynchronous task handling Familiarity with front-end frameworks like React or Vue.js Exposure to Cloudflare or similar CDN/DNS tools Experience with monitoring tools: Prometheus , Grafana , Sentry , or CloudWatch Why Join Us? Work on impactful and modern web solutions Growth opportunities across technologies and cloud platforms Collaborative, inclusive, and innovation-friendly work environment Exposure to challenging and rewarding projects

Role & responsibilities Key Skills: 3 years of experience with building modern applications utilizing GCP services like Cloud Build, Cloud Functions/ Cloud Run, GKE, Logging, GCS, CloudSQL & IAM. Primary proficiency in Python and experience with a secondary language such as Golang or Java. In-depth knowledge and hands-on experience with GKE/K8s. You place a high emphasis on Software Engineering fundamentals such as code and configuration management, CICD/Automation and automated testing. Working with operations, security, compliance and architecture groups to develop secure, scalable and supportable solutions. Working and delivering solution in a complex enterprise environment. Proficiency in designing and developing scalable and decoupled microservices and adeptness in implementing event-driven architecture to ensure seamless and responsive service interactions. Proficiency in designing scalable and robust solutions leveraging cloud-native technologies and architectures. Expertise in managing diverse stakeholder expectations and adept at prioritizing tasks to align with strategic objectives and deliver optimal outcomes. Good to have knowledge, skills and experiences The ‘good to have’ knowledge, skill and experience (KSE) the role requires are: Ability to integrate Kafka to handle real-time data. Proficiency in monitoring tools Experience using Robot Framework for automated UAT is highly desirable.

Job description: Hiring Technical Project Manager's with experience range 9 years & above Mandatory Skills: Project Management->UI->Cloud ->Angular-> React->Node-> Azure Cloud-> Aws Cloud Education: B.Tech ->BCA -> B.sc

Role & responsibilities Skills : Bigdata, Pyspark, Hive, Spark Optimization Good to have : GCP Preferred candidate profile Skills : Bigdata, Pyspark, Hive, Spark Optimization Good to have : GCP Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. Perform integration testing of different created pipeline in GCP. Provide estimates for development, testing & deployments on different env. Participate in code peer reviews to ensure our applications comply with best practices.

Job Summary / Purpose The Network Engineer job family has responsibility for infrastructure/technical planning, implementation and support activities for systems owned by the HA IT Operations Team. Specific responsibilities include installing and supporting system hardware and software, performing system upgrades, and evaluating and installing patches and software updates. Responsibilities also include operational support activities such as resolving software and hardware related problems, managing backup and recovery activity, administering technology layers, managing monitoring and alerting functions, performing capacity planning and conducting version management. Network Engineers work closely with architects, infrastructure support, database administrators and application support teams to ensure seamless and quality IT support for HA customers and alignment with HA IT standards, controls and governance. Essential Key Job Responsibilities Provides evaluation, engineering/design and implementation services for new products, technologies and solutions to address corporate business requirements. Provides escalation support to Tier 1 and 2 engineers. Design, implement, and maintain large-scale network infrastructure on Google Cloud Platform (GCP) Demonstrates creativity and takes initiative in problem solving. Resolves or facilitates resolution of complex problems for assigned program Has a thorough and comprehensive mastery of supported platforms/products and environments. Focuses the majority of time on complex engineering, architectural and implementation tasks. Project assignments are large in scope and are highly complex. Provide exceptional customer service to HA end users, Business Stakeholders and other members of HA IT Perform daily production support activities Participate in team on-call rotations. Perform patching and code deployments across all environments Lead projects associated to the enhancement, upgrade/patching, or implementation of new or existing technology solutions. Coordinate implementation and support efforts between IT Operations and other HA IT teams. Conduct performance tuning and troubleshooting Provide oversight and facilitation of the HA IT change management process as it applies to the IT Operations team. Review, recommend and monitor the source code/versioning management function adhering to technical management guidelines Provide technical leadership and ownership of issues across multiple disciplines and technologies Design, implement and maintain a comprehensive monitoring and alerting process across all IT Operations platforms With oversight from the System Engineering Lead and Operations Manager(s), initiate and facilitate strategic planning activities (capacity planning, process improvement, maintenance, upgrade and end-of-life planning, roadmap development) Build new test and production environments on existing or new hardware as required. Identify automation opportunities and implement scripted solutions. Identify technical innovation and process improvement opportunities. Design and implement a comprehensive and ongoing release management and planning program. Utilize standard tools and methodology to develop system and support performance metrics. Demonstrate potential leadership qualities through team motivation, coaching, and mentoring. Demonstrate comprehensive knowledge & expertise with HA business processes and routines. Research and recommend appropriate System Administration best practices, and tools. Perform crisis management during high-severity operational incidents. The job summary and responsibilities listed above are designed to indicate the general nature of the work performed within this job. They are not designed to contain or be interpreted as a comprehensive inventory of all job responsibilities required of employees assigned to this job. Employees may be required to perform other duties as assigned. Minimum Qualifications Required Education and Experience BA or BS in Computer Science, Technology, or Business discipline or equivalent experience is required. 6-10 years of professional experience in an IT technical or infrastructure field is required. 5-7 years of experience in Google cloud large complex project oversight Established understanding of Infrastructure and relative technologies. Established understanding of network connectivity and protocols. Required Licensure and Certifications CCNA or CCNP, Google Cloud Network Engineer Certification Preferred Required Minimum Knowledge, Skills, Abilities and Training 7+ years of experience with Cisco Route Switch and Wireless infrastructure. Experience with datacenter and MDF/IDF closet construction design (cabling, racks, power, cooling) Experience or understanding of Cisco Nexus platform 5-7 years of experience with vendor management Advanced experience with Cisco wireless, and strong understanding of wireless design and coverage Understanding and experience with WAN Design MPLS QoS BGP Metro Optical Ethernet MultiPoint MOE Healthcare industry experience a plus

about the role Prepare projects: participate in the upstream phase of the project, participate in the Architecture, Integration / Deployment strategy, and identify the risks. Strategize and design: evaluate and design the upcoming deliverables and strategize the plan and help DevOps engineers in technical as well as design requirements. Implement (install, develop, automate, document) these new delivery environment and tune existing deliverables and industrialize the components Assist the Dev (development) & Ops (Operations) teams in the implementation and appropriation of the proposed tools and methods. about you Strong working experience of GCP, EKS, K3S and GCP managed services Strong command on containerization using Docker, Kubernetes and Helm charts Good experience on Automation and configuration management tools : Terraform, Crossplane and Gitlab CI Experience in deploying Python, Angular and Node based services Good knowledge of integration techniques (System & network configuration) and scripting (Shell/Perl/Python) Good level knowledge of S3, DBaaS, Keycloak, NATS, Message broker and Hashicorp Vault Good knowledge of Linux, DevOps, CI/CD and Observability Desirable: Working experience of implementing GitOps flows Optional : GCP certifications will be an added advantage

Dear Candidate, We are hiring a Cloud Data Scientist to build and scale data science solutions in cloud-native environments. Ideal for candidates who specialize in analytics and machine learning using cloud ecosystems. Key Responsibilities: Design predictive and prescriptive models using cloud ML tools Use BigQuery, SageMaker, or Azure ML Studio for scalable experimentation Collaborate on data sourcing, transformation, and governance in the cloud Visualize insights and present findings to stakeholders Required Skills & Qualifications: Strong Python/R skills and experience with cloud ML stacks (AWS, GCP, or Azure) Familiarity with cloud-native data warehousing and storage (Redshift, BigQuery, Data Lake) Hands-on with model deployment, CI/CD, and A/B testing in the cloud Bonus: Background in NLP, time series, or geospatial analysis Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

- Proficient in GCP, monitoring, Linux & PostgreSQL - Experience in cloud deployment, RCA, and DB management - Handle on-call support, troubleshoot issues - Monitor KPIs via GCP tools - Prepare SLA reports - Collaborate with Dev & Infra teams

Solution Architect: IMMEDIATE HIRING FOR HYDERABAD/NEW DELHI LOCATION!!! Job Summary: We are seeking a highly skilled and experienced Solution Architect to join our dynamic team in Hyderabad. As a Solution Architect, you will be responsible for leading the design, development, and implementation of scalable, high-performance software solutions across diverse technology stacks. You will collaborate with cross-functional teams to understand business needs, define architectural standards, and ensure the delivery of robust and maintainable applications. Key Responsibilities Lead the design, development, and implementation of scalable, high-performance software solutions across multiple technology stacks. Define and enforce architecture standards, best practices, and coding guidelines to ensure consistency and maintainability across applications. Collaborate with cross-functional teams (business stakeholders, product managers, development teams) to gather and prioritize technical and business requirements . Develop and maintain technical roadmaps, architectural blueprints, and system design documents for multi-stack solutions. Conduct architecture reviews, technical assessments, and performance optimizations to enhance system reliability, scalability, and efficiency. Evaluate and recommend modern frameworks, tools, cloud solutions, and DevOps practices to improve development workflows and infrastructure. Provide technical leadership across multiple technology stacks , ensuring the right mix of technologies is used for optimal solutions. Mentor and guide development teams , fostering best practices in coding, testing, and deployment across different platforms. Ensure compliance with security, performance, and regulatory standards , incorporating DevSecOps principles. Stay updated with emerging industry trends in cloud computing, AI, DevOps, and modern software architectures . Preferred Qualifications & Skills Education & Experience * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * 15+ years of experience in software development, with at least 5 years in a Solution Architect role. * Proven expertise in designing and developing large-scale enterprise applications using Java and modern architectural patterns (Microservices, Event-Driven Architecture, etc.). * Strong proficiency in Java (Spring Boot, Java EE), .NET (C#, .NET Core), Node.js, and Python. * Deep understanding of software architecture principles, design patterns (MVC, Microservices, Event-Driven, CQRS, etc.), and best practices. * Expertise in RESTful API design, GraphQL, WebSockets, and service-oriented architectures (SOA). * Experience in building scalable, distributed, and event-driven systems. * Proficiency in React.js, Angular, Vue.js, or other modern UI frameworks. * Strong understanding of frontend architecture, component-based design, and state management libraries. * Hands-on experience with cloud platforms (AWS, Azure, GCP), including cloud-native services, serverless computing, and infrastructure as code (IaC). * Proficiency in containerization (Docker, Kubernetes) and distributed systems. * Strong knowledge of DevOps and CI/CD pipelines, including tools like Jenkins, GitLab CI/CD, Terraform, Ansible, Helm. * Familiarity with messaging systems (Kafka, RabbitMQ, ActiveMQ) and event-driven architectures. * Expertise in SQL databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis). * Understanding of security best practices, including OAuth 2.0, OpenID Connect, SAML, and data encryption techniques. * Experience with identity and access management (IAM) solutions and compliance standards. * Experience working in Agile/Scrum environments and collaborating with globally distributed teams. * Excellent leadership and communication skills, with the ability to articulate technical concepts to non-technical stakeholders. * Strong problem-solving abilities and experience in troubleshooting complex systems and performance tuning. Technical Expertise Strong proficiency in Java (Spring Boot, Java EE), .NET (C#, .NET Core), Node.js, and Python . Deep understanding of software architecture principles , design patterns (MVC, Microservices, Event-Driven, CQRS, etc.), and best practices. Expertise in RESTful API design, GraphQL, WebSockets, and service-oriented architectures (SOA) . Experience in building scalable, distributed, and event-driven systems . Proficiency in React.js, Angular, Vue.js , or other modern UI frameworks. Strong understanding of frontend architecture, component-based design, and state management libraries . Hands-on experience with cloud platforms (AWS, Azure, GCP) , including cloud-native services, serverless computing, and infrastructure as code (IaC). Proficiency in containerization (Docker, Kubernetes) and distributed systems. Strong knowledge of DevOps and CI/CD pipelines , including tools like Jenkins, GitLab CI/CD, Terraform, Ansible, Helm . Familiarity with messaging systems (Kafka, RabbitMQ, ActiveMQ) and event-driven architectures . Expertise in SQL databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis) . Understanding of security best practices , including OAuth 2.0, OpenID Connect, SAML, and data encryption techniques . Experience with identity and access management (IAM) solutions and compliance standards. Additional Skills (Preferred) AI/ML Integration : Experience in incorporating AI/ML models into enterprise applications. Multi-Tenant & SaaS Architectures : Exposure to multi-tenant, cloud-native SaaS solutions . Soft Skills Excellent leadership and communication skills , with the ability to articulate technical concepts to non-technical stakeholders. Strong problem-solving abilities and experience in troubleshooting complex systems and performance tuning . Experience working in Agile/Scrum environments and collaborating with globally distributed teams. Nice to Have Certifications such as AWS Certified Solutions Architect, TOGAF 9 / TOGAF Enterprise Architecture Certification, Microsoft Certified: Azure Solutions Architect Expert and Certified Information Systems Security Professional

support Netsuite instance that’s use by one of the BU. This person will also help with migrating two other inactive instances data into GCP cloud

Role & responsibilities Must have excellent knowledge in Apache Spark and Python programming experience Deep experience in developing data processing tasks using PySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code, knowledge of scheduling tools like Airflow, Control-M etc. is preferred Working experience on Cloud technology architecture like AWS ecosystem, Google Cloud, BigQuery etc. is an added advantage Understanding of Unix/Linux + Shell Scripting Data modelling experience using advanced statistical analysis,unstructured data processing Experience with building APIs for provisioning data to downstream systems by leveraging different frameworks. Hands on project experience on Jupyter notebook/ Zeppelin/ PyCharm etc. IDEs Hands on experience with AWS S3 Filesystem operations Good knowledge of Hadoop, Hive and Cloudera/ Hortonworks Data Platform Experience handling CDC operations for huge volume of data Should understand and have operating experience with Agile delivery methodologies Should have hands-on experience in the following: data validation, writing unit test cases Should have experience in integrating PySpark with downstream and upstream applications through a batch/real-time interface Should have experience in fine tuning process and troubleshooting performance issues Should have demonstrated expertise in development of design documents like HLD, LLD etc. Should have experience in leading requirements gathering and developing solution architecture for Data migration/integration initiatives Should have experience in handling client interactions at different phases of the projects Should have experience in leading a team in a project or a module Should be well versed with onsite/offshore model and its challenges.

Dear Candidate, We are hiring a Cloud Application Architect to design cloud-native applications that are scalable, secure, and resilient. Ideal for professionals experienced in modern architectures and distributed systems. Key Responsibilities: Architect cloud-based applications using microservices and serverless patterns Guide teams on best practices in scalability, observability, and fault tolerance Ensure integration with cloud services, APIs, and third-party systems Collaborate with stakeholders on application modernization and cloud-native transitions Required Skills & Qualifications: Proficiency with AWS, Azure, or GCP services for application development Experience in containerized and serverless architectures (Kubernetes, Lambda, Functions) Strong background in backend development (Java, Go, Node.js, or Python) Bonus: Familiarity with API gateways, service mesh, and CI/CD pipelines Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

KEY ACCOUNTABILITIES Partner with business SMEs and D&T peers to learn the Supply Chain data needed to drive Data & Analytics for Supply Chain Understand the DnA Cloud technology and how it connects current Data Foundation capabilities and shapes future capabilities. Serve as the technical Data SME for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Maintain and enhance our Supply Chain GCP Data Foundations Gather data requirements from internal business clients Translate requirements into technical documents and specifications Partner with data engineers, analytic engineers, and architects to build new data pipelines Understand, document, and communicate timelines and priorities to business partners Ensure our code follows latest coding practices and industry standards Understand and follow Agile methodologies Understand the end-to-end supply chain business processes, data, and DnA technology Effective verbal and written communication and influencing skills Actively contribute in team building , capability building. Proactive learning mindset with a passion to increase your skill on DnA capabilities MINIMUM QUALIFICATIONS 10+ years of total IT/ITES experience with 7+ years of relevant experience in a Data Analytics Intermediate to Advanced proficiency with reading and writing SQL language. Working proficiency with data analysis software / tools for ETL, Data Modelling Strong problem-solving abilities and attention to detail Can do, positive attitude and commitment to a team delivery approach Preferred: Experience working with supply chain data will be advantage Ability to work in a global, multicultural work environment and leverage virtual teams Excellent communication skills- verbal and written Excellent analytical skills Bachelor s/Master s Degree in from Tier 1 institute Bachelors degree in Information Systems, Computer Science, Software Engineering, or equivalent relevant discipline PREFERRED QUALIFICATIONS Broad FMCG Business and Technology expertise Good knowledge on SAP R/3 or SAP S/4 HANA, SAP BW, SAP ETL / foundational data model/Reporting Experience Agile / SCRUM Delivery experience Strong relationship management skills Excellent stakeholder management skills Excellent academics Results-oriented, high energy, self-motivated High level understanding of GCP Cloud architecture

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing cloud or on-prem application pipelines, and ensuring production-ready quality. You will also work with deep learning, neural networks, chatbots, and image processing. Key Responsibilities : A: Demonstrate various Google specific Designs using effective POCs, as per client requirements. B: Identifying applicability of Google Cloud AI services to use cases with ability to project both the business and tech benefits. C: Design, build and productionizes ML models to solve business challenges using Google Cloud technologies D: Lead and guide team of data scientists E: Coordinating and collaborating with cross-functional teams Technical Experience : A: Min 3 + years of experience on GCP AWS ML B: Exposure to Google Gen AI Services C: Exposure to GCP and its Compute, Storage, Data, Network, Security services D: Expert programming skills in any one of Java, Python, Spark E: Knowledge of GKE, Kubeflow on GCP would be good to have G: Experience in Vertex AI for building and managing the ML models H: Experience in implementing MLOps Location: Pan India

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Architecture Summary: As a Cloud Platform Architect, you will be responsible for overseeing application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your typical day will involve designing cloud adoption plans, managing and monitoring cloud applications, and ensuring cloud application design meets business requirements. Roles & Responsibilities: - Design and implement cloud adoption plans, including public cloud, private cloud, and hybrid cloud environments. - Oversee cloud application design, ensuring it meets business requirements and aligns with industry best practices. - Manage and monitor cloud applications, ensuring they are secure, scalable, and highly available. - Collaborate with cross-functional teams to ensure cloud applications are integrated with other systems and services. - Stay up-to-date with the latest advancements in cloud technology, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience with other cloud platforms such as AWS or Azure. - Experience in designing and implementing cloud adoption plans. - Strong understanding of cloud application design and architecture. - Experience in managing and monitoring cloud applications. - Solid grasp of cloud security, scalability, and availability best practices.

Job Role You'll be responsible for Hands on experience on Data warehousing tools and methodologies. Design and manage scalable infrastructure on Google Cloud Platform (GCP) to support various application and data workloads. Implement and manage IAM policies, roles, and permissions to ensure secure access across GCP services. Build and optimize workflows using Cloud Composer (Airflow) and manage data processing pipelines via Dataproc. Provision and maintain Compute Engine VMs and integrate them into broader system architectures. Set up and query data in BigQuery, and manage data flows securely and efficiently. Develop and maintain CI/CD pipelines using Argo CD, Jenkins, or GitOps methodologies. Administer Kubernetes clusters (GKE) including node scaling, workload deployments, and Helm chart management. Create and maintain YAML files for defining infrastructure as a code. Monitor system health and performance using tools like Prometheus, Grafana, and GCPs native monitoring stack. Troubleshoot infrastructure issues, perform root cause analysis, and implement preventative measures. Collaborate with development teams to integrate infrastructure best practices and support application delivery. Document infrastructure standards, deployment processes, and operational procedures. Participate in Agile ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives

• Familiarity with End-2-End Machine Learning model development life cycle. • Experience in creating data processing pipelines and API development (Fast API). • Experience with SQL and NoSQL, MLflow, GitHub, docker, Kubernetes, ELK, or similar stack.

Role & responsibilities : Need nodeJS candidates who can write basic database queries and deploy in GKE basically, Nodejs development with SQl and kubernetes Technical Skills Containers & Orchestration: Practical experience deploying and managing applications on Kubernetes. Programming: Proficiency in Node.js development, including building and maintaining RESTful APIs or backend services. Messaging: Familiarity with Apache Kafka for producing and consuming messages. Databases: Experience with PostgreSQL or similar relational databases (writing queries, basic schema design). Version Control: Proficient with Git and GitHub workflows (branching, pull requests, code reviews). Development Tools: Comfortable using Visual Studio Code (VSCode) or similar IDEs. Additional Requirements Communication: Ability to communicate clearly in English (written and verbal). Collaboration: Experience working in distributed or remote teams. Problem Solving: Demonstrated ability to troubleshoot and debug issues independently. Learning: Willingness to learn new technologies and adapt to changing requirements. ______Preferred but not required: Experience with CI/CD pipelines. Familiarity with Agile methodologies. Exposure to monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Preferred candidate profile

Role & responsibilities Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Preferred candidate profile Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills.

We're hiring a Data Architect (10+ yrs exp) in Mumbai/Pune for a leading EDD firm serving PwC, KPMG & more. Expertise in PostgreSQL, MongoDB, Graph DB, Elasticsearch needed. Apply now to join a global, innovation-driven team!

Role & responsibilities Top Skills and Required: Required Top Skills- Java, Springboot, Microservices. Desing, Planning, Develop, test, and deploy projects Technical expertise in software development Problem-solving and analytical thinking Key Responsibilities: Design, implement, and maintain organizational databases Provide strategic guidance to database users and client groups Automate and support the database environment Monitor system performance and assist with capacity planning Administer and troubleshoot database environments regularly Optimize system and query performance for efficiency Coordinate upgrades and migrations with vendors

UI/UX Architect (10+ Years) PAN India N.P: 30 days GCP , node.js ,react.js UI/UX Architect with 10+ years of experience in designing and leading frontend architecture across web and mobile platforms(mobile platforms is nice to have). Will define the UI/UX vision, architect scalable and secure solutions using React.js, React Native, and Node.js, and ensure seamless integration with GCP Cloud Monitoring and observability tools.Need to authenticate with the GCP services using SSO. Key Skills: Frontend architecture (React.js), Design Systems, Node.js UI/UX strategy and leadership Integration with GCP services (Cloud Monitoring, API Gateway, IAM) Design governance, performance optimization, accessibility (WCAG) Stakeholder collaboration, mentoring, code quality enforcement Nice to have skills:- React Native. Mobile app development.

UI/UX Architect (10+ Years) PAN India N.P: 30 days GCP , node.js ,react.js UI/UX Architect with 10+ years of experience in designing and leading frontend architecture across web and mobile platforms(mobile platforms is nice to have). Will define the UI/UX vision, architect scalable and secure solutions using React.js, React Native, and Node.js, and ensure seamless integration with GCP Cloud Monitoring and observability tools.Need to authenticate with the GCP services using SSO. Key Skills: Frontend architecture (React.js), Design Systems, Node.js UI/UX strategy and leadership Integration with GCP services (Cloud Monitoring, API Gateway, IAM) Design governance, performance optimization, accessibility (WCAG) Stakeholder collaboration, mentoring, code quality enforcement Nice to have skills:- React Native. Mobile app development.

Hi everyone. Open Positions in the Cloud Engineer Role Greetings from Tekaccel! This is an excellent opportunity with us. If you have that unique and unlimited passion for building world-class enterprise software products that turn into actionable intelligence, then we have the right opportunity for you and your career. What are we looking for? Job Title: Cloud Engineer Location: Gurgaon (Hybrid)Minimum once a month onsite (may increase as per project needs like deployments) Experience Required: 4-6 years Hire type: Contract Job Description: We are seeking a cloud engineer with strong hands-on experience in operationalizing AI/ML workloads in a GCP cloud environment. The ideal candidate will be skilled in deploying, monitoring, and scaling ML models, with deep knowledge of Google Cloud’s ML services and CI/CD pipelines for ML systems. Key Responsibilities: Implement and operationalize AI/ML pipelines using GCP services Develop and manage CI/CD pipelines for ML workflows (Cloud Build, GitHub Actions, Tekton) Containerize ML workloads using Docker, deploy and orchestrate on GKE/Kubernetes Use Infrastructure as Code tools (Terraform or Deployment Manager) for provisioning Implement model deployment and monitoring frameworks Integrate DevOps practices into the ML lifecycle Collaborate with Data Scientists and Engineers to productionize ML models Skills Required: GCP Vertex AI, Data Fusion, Dataplex CI/CD for ML (Cloud Build, GitHub Actions, Tekton) Containerization: Docker, GKE/Kubernetes Infrastructure as Code: Terraform or Deployment Manager Experience with model deployment & monitoring Strong understanding of DevOps integration into ML lifecycle Medium to high hands-on expertise is mandatory Role Summary: You will be responsible for enabling, deploying, and managing ML workloads in production environments using GCP’s AI/ML stack. You will play a key role in scaling ML systems and ensuring robust, automated ML pipelines. If interested, candidates, please share your updated resume at naveen@tekaccel.com or WhatsApp at +91 7997763537 Tekaccel Software Services India

Minimum 7+ years in data engineering with 5+ years of hands-on experience on GCP. Proven track record with tools and services like BigQuery, Cloud Composer (Apache Airflow), Cloud Functions, Pub/Sub, Cloud Storage, Dataflow, and IAM/VPC. Demonstrated expertise in Apache Spark (batch and streaming), PySpark, and building scalable API integrations. Advanced Airflow skills including custom operators, dynamic DAGs, and workflow performance tuning. Certifications Google Cloud Professional Data Engineer certification preferred. Mandatory Technical Skills Advanced Python (PySpark, Pandas, pytest) for automation and data pipelines. Strong SQL with experience in window functions, CTEs, partitioning, and optimization. Proficiency in GCP services including BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Cloud Storage. Hands-on with Apache Airflow, including dynamic DAGs, retries, and SLA enforcement. Expertise in API data ingestion, Postman collections, and REST/GraphQL integration workflows. Familiarity with CI/CD workflows using Git, Jenkins, or Bitbucket. Experience with infrastructure security and governance using IAM and VPC.