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About the Company:
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve:
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position summary:
We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance.
Key Roles & Responsibilities:
- Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
- Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
- Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
- Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
- Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
- Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
- Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
- Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
- Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability.
Basic Qualifications:
- A bachelor’s or master’s degree in computer science, electronics engineering or a related field
- 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
- Strong expertise in CI/CD pipelines, version control (Git), and release automation.
- Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
- Proficiency in Terraform, Ansible for infrastructure automation.
- Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
- Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
- Strong scripting and automation skills in Python, Bash, or Go.
Preferred Qualifications
- Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
- Exposure to serverless architectures and event-driven workflows.
- Contributions to open-source DevOps projects.
ob Description:
We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.
Key Responsibilities:
- Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
- Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
- Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
- Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
- Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
- Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
- Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.
Key Requirements:
- Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
- At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
- Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
- Expertise in Spark, SQL, and data transformation techniques within Azure environments.
- Strong understanding of data governance, security, and compliance in cloud environments.
- Experience with migrating data architectures and optimizing workflows on cloud platforms.
- Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
- Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.
Key requirements:
- The person should have at least 6 months of work experience in Data Fabric. Make sure the experience is not less than 6 months
- Solid technical skills: data bricks, data fabric and data factory
- Polished, good communication and interpersonal skills
- The Person should have at least 6 years of experience in Databricks, Datafactory.
We are seeking a creative and detail-oriented Graphic Designer to join our digital marketing team. The ideal candidate will have a passion for design, a strong understanding of branding, and a talent for creating visually compelling digital content that engages and converts audiences. You will work closely with our marketing, content, and social media teams to create graphics for web, social media, ads, emails, and other digital platforms.Someone who has the ability to understand what a brand requires and has good skills in video editing too.

Senior Full-Stack Engineer
To be successful in your role, it is important that you have…
• Bachelor’s Degree or equivalent in Computer Science or related field
• 5+ years of using .NET/.NET Core, C#, Angular, JavaScript, HTML
• 5+ years of experience with databases preferably SQL Server and T-SQL
• C# development with multi-threading principles, good knowledge of .Net data structure and objects.
• Experience with working with/ troubleshooting large volume SQL Server databases
• Experience with REST (XML, JSON), SOAP Web Services development using ASP.NET, Web API
• Experience and belief in CI/CD/DevOps
• Strong software product development/engineering with complete understanding of SDLC
• Strong full stack developer and good knowledge of frameworks
• Ability to independently deliver on stories
• Experience mentoring junior developers
• Ability to juggle multiple tasks and prioritize time as per the need
• Effective communication and collaboration and problem-solving skills.
In this role, you will have the opportunity to…
• Develop code for complex problems using .NET/.NET Core, C#, JavaScript, HTML, Angular primarily
• Create REST based API for data driven solutions
• Develop unit test cases to confidently ship your feature.
• Work with Product Owners to understand requirements and help design solutions
• Work in an agile environment
• Work in CI/CD environment using Azure DevOps
• Document design and code development for modules using Confluence
• Help mentor junior resources to implement industry best practices
Key Responsibilities:
- Excellent verbal & written communication skills.
- Manage Voice/Non voice Process- Payment, Refunds etc.
- Ensures metrics, monitor process, provide regular coaching & mentoring to team.
- Knowledge of payments and fintech.
- Respond to requests through emails or chats for information in a timely, professional and positive manner to develop strong customer relations.
- Providing information about a product or service.
Desired Candidate Profile:
- Excellent verbal and written communication skills.
- Technical bent of mind to isolate a problem quickly.
- Have proven experience in the same domain.
Education- Any Graduate
Preferred Skills:
- Good communication skills in English (Written and Oral)
- Strong knowledge of RDBMS concepts
- Strong analytical and problem-solving skills
- Experience in performance tuning
- Experience in interaction with the customer
- Mandatory technical skills Java, Spring boot , Microservices , Hibernate
- Preferred Tools (SVN, GIT, Maven, Jenkins Jira Confluence)
- Ability to explore the application by himself/herself from the training provided.
Responsibilities:
- New feature development or enhancement or change request activities (Requirement analysis, Requirement documentation, Design, Coding, Review, Testing and Release process)
- Defect Fixing (Defect analysis, route cause identification, Code change, testing, obtaining user confirmation and release process)
- Support tasks (Ticket analysis, data uploading, performance tuning, job monitoring, any analysis task, ReportGeneration and etc.,)
- Level 2 and Level 3 support (Support process adherence)
- Functional and technical or solution documentation preparation
- Execution will either be Waterfall or Agile
- The process needs to be followed as defined by RBEI or RBEI’s Customer
- Preparation & participation in the project status and review meeting
Client: Sony Corporation
Position: 3
Exp: 5-8Years
DevOps Engineer
Location: Bangalore
Budget: 16.5 LPA Max
Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK



- Creating C#.NET windows Desktop (WPF) applications to meet project specifications
- Must have experience in windows UI
- Co-ordinating design, development, testing, debugging and implementation of .NET projects
- Database Interaction (MongoDB Server)
- Looking for professional who have experience with C#
- .Net, web Api & knowledge of web-based framework will be preferred.
- Good understanding on requirements gathering and detail orientation.
- Strong understanding on UI best practice and usability concepts.
- Hands on experience on user control and custom controls.
Mandatory Key Skills: C# , windows UI, Windows application development (WPF), strong windows UI development skills with usability understanding.
Required Experience, Skills and Qualifications
- 1+ years of experience using C#, windows UI
- Experience with Custom Windows UI component library will be preferred.
- Candidate with knowledge of, web-based framework will be preferred (plus point)
- Implementation of typical User-Interface module and business logic component in the project using C#
- Good communication skills are needed.
Keypoints to be noted:
Must have knowledge/experience of below:
C#
- Background worker and task(for running any process/task backend without interruoting/hanging UI)
- Utilize common/globalmethods
- Async/sync methods
WPF
- Create custom/user control(MUST)


We are looking for an ML engineer (Neuroscience) and would like them to
- Build ML algorithms on MRI/ Medical data sets
- Design and build intelligent agents using continual learning and deep reinforcement learning techniques
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tune using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Collaborate on technical proposals to grow and define artificial intelligence research for intelligent systems
Must have:
- Knowledge of MRI image processing and inferencing
- Hands-on machine learning expertise with an intensive knowledge of hyperparameter optimization, statistical assumption, and implications
- Experience in deep learning models
- Excellent Python programming skills for ML coding
- Understanding of ML integration with our software
- Good understanding of neuroscience/ clinical data
Bonus if you:
- Are enthusiastic about all things brain science and/or mental well-being
- We are a company that highly values the ability to communicate well. We all take turns at the blog roster, so writing experience and/or enthusiasm is appreciated
- Our core values encourage empathy and innovation, you are gold if you share these

