13+ Google Cloud Platform (GCP) Jobs in Ahmedabad | Google Cloud Platform (GCP) Job openings in Ahmedabad

As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.

You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.

Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.

What you’ll do

• Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
• Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
• Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
• Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
• Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
• Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
• Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
• Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
• Ability to understand Conceptual/Logical/Physical Data Modelling.
• Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
• Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.

What you will Bring 

• 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
• Certifications in data engineering, analytics, cloud, AI will be a certain advantage
• Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
• Prior experience of working as a solution architect during presales cycle will be an advantage

Soft Skills

• Communication Skills
• Presentation Skills
• Flexible and Hard-working

Technical Skills

• Knowledge of Presales Processes
• Basic understanding of business analytics and AI
• High IQ and EQ

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Job Profile : Python Developer

Job Location : Ahmedabad, Gujarat - On site

Job Type : Full time

Experience - 1-3 Years

Key Responsibilities:

Design, develop, and maintain Python-based applications and services.

Collaborate with cross-functional teams to define, design, and ship new features.

Write clean, maintainable, and efficient code following best practices.

Optimize applications for maximum speed and scalability.

Troubleshoot, debug, and upgrade existing systems.

Integrate user-facing elements with server-side logic.

Implement security and data protection measures.

Work with databases (SQL/NoSQL) and integrate data storage solutions.

Participate in code reviews to ensure code quality and share knowledge with the team.

Stay up-to-date with emerging technologies and industry trends.

Requirements:

1-3 years of professional experience in Python development.

Strong knowledge of Python frameworks such as Django, Flask, or FastAPI.

Experience with RESTful APIs and web services.

Proficiency in working with databases (e.g., PostgreSQL, MySQL, MongoDB).

Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.

Experience with version control systems (e.g., Git).

Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Understanding of containerization tools like Docker and orchestration tools like Kubernetes is good to have

Strong problem-solving skills and attention to detail.

Excellent communication and teamwork skills.

Good to Have:

Experience with data analysis and visualization libraries (e.g., Pandas, NumPy, Matplotlib).

Knowledge of asynchronous programming and event-driven architecture.

Familiarity with CI/CD pipelines and DevOps practices.

Experience with microservices architecture.

Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.

Hands on experience in RAG and LLM model intergration would be surplus.

• Required Minimum 3 years of Experience as a Data Engineer
• Database Knowledge: Experience with Timeseries and Graph Database is must along with SQL, PostgreSQL, MySQL, or NoSQL databases like FireStore, MongoDB,
• Data Pipelines: Understanding data Pipeline process like ETL, ELT, Streaming Pipelines with tools like AWS Glue, Google Dataflow, Apache Airflow, Apache NiFi.
• Data Modeling: Knowledge of Snowflake Schema, Fact & Dimension Tables.
• Data Warehousing Tools: Experience with Google BigQuery, Snowflake, Databricks
• Performance Optimization: Indexing, partitioning, caching, query optimization techniques.
• Python or SQL Scripting: Ability to write scripts for data processing and automation

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

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About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

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Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

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Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

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Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Company Name: Petpooja!

Location: Ahmedabad

Designation: DevOps Engineer

Experience: Between 2 to 7 Years

Candidates from Ahmedabad will be preferred

Job Location: Ahmedabad

Job Responsibilities: - -

• Planned, implement, and maintain the software development infrastructure.
• Introduce and oversee software development automation across cloud providers like AWS and Azure
• Help develop, manage, and monitor continuous integration and delivery systems
• Collaborate with software developers, QA specialists, and other team members to ensure the timely and successful delivery of new software releases
• Contribute to software design and development, including code review and feedback
• Assist with troubleshooting and problem-solving when issues arise
• Keep up with the latest industry trends and best practices while ensuring the company meets configuration requirements
• Participate in team improvement initiatives
• Help create and maintain internal documentation using Git or other similar applications
• Provide on-call support as needed

Qualification Required:

1. You should have Experience handling various services on the AWS cloud.

2. Previous experience as a Site reliability engineer would be an advantage.

3. You will be well versed with various commands and hands-on with Linux, Ubuntu administration, and other aspects of the Software development team requirement.

4. At least 2 to 7 years of experience with managing AWS Services such as Auto Scaling, Route 53, and various other internal networks.

5. Would recommend if having an AWS Certification.

Position Summary

Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.

Job Description

• Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
• Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
• Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
• Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
• Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
• Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
• Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
• Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
• Drive clients meetings & communication during reviews

Requirement:

• Degree in computer science or a similar field.
• At least 2 year of experience in the field of cloud computing.
• Experience with CI/CD systems.
• Strong in Cloud services
• Exposure to AWS/GCP and other cloud-based infrastructure platforms
• Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
• Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
• Proficient in the use and administration of all versions of MS Windows Server
• Experience with Linux and Windows system administration and web server configuration and monitoring
• Solid programming skills in Python, Java, Perl
• Good understanding of software design principles and best practices
• Good knowledge of REST APIs
• Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
• Experience with Docker, Kubernetes, and Helm charts
• Hands on experience in Ansible and Git repositories
• Knowledge in Maven / Gradle
• Azure, AWS, and GCP certifications are preferred.
• Troubleshooting and analytical skills.
• Good communication and collaboration skills.

What you’ll be doing at Novo:

● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues

● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code

SUMMARY:-

• Implement integrations requested by customers
• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code

Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening

Ability to understand business requirements and translate them into technical requirements

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.