Gruve

About the Role

We are seeking a Level 2 Network Engineer with expertise in Cisco Network Analytics, BAU Operations, and Device Management. The ideal candidate will be responsible for monitoring, troubleshooting, and optimizing Cisco network infrastructure, ensuring high availability, performance, and compliance with operational standards. He should be well versed in the Change and Incident Management process. He should be ready to work in 24 X 7 shift. 

Key Responsibilities

Network Monitoring & Incident Management:

• Monitor Cisco network infrastructure using tools such as Cisco DNA Center, Cisco Prime, ThousandEyes, NetFlow, or SolarWinds.
• Analyze network performance metrics, detect anomalies, and proactively address potential issues.
• Respond to and resolve network incidents, escalating complex issues to L3 teams when necessary.
• Perform Root Cause Analysis (RCA) for recurring network issues and implement corrective actions. 

BAU Operations & Device Management:

• Perform routine health checks, firmware updates, and configuration backups of network devices.
• Manage Cisco routers, switches, and wireless controllers, ensuring optimal configuration and uptime.
• Support device provisioning, decommissioning, and lifecycle management.
• Maintain inventory records for network devices and ensure compliance with security policies. 

Network Troubleshooting & Optimization:

• Diagnose and resolve network latency, packet loss, and connectivity issues.
• Troubleshoot routing protocols (BGP, OSPF, EIGRP) and switching issues (VLANs, STP, HSRP, VRRP).
• Work on QoS, ACLs, NAT, DHCP, and network segmentation to improve performance.
• Assist in capacity planning and network performance tuning. 

Change Management & Documentation:

• Implement network changes as per approved Change Management Process (ITIL framework).
• Document network configurations, changes, and troubleshooting procedures.
• Create and maintain standard operating procedures (SOPs) for network operations. 

Security & Compliance:

• Ensure compliance with network security best practices, including access controls and segmentation.
• Work with security teams to monitor for vulnerabilities and apply necessary patches.
• Assist in firewall policy reviews and VPN configurations, if required. 

Basic Qualifications

• BE / B'Tech / MCA / MSc + 2-5 years' experience. Cisco networking and BAU operations. 
• Hands-on experience with Cisco DNA Center, Cisco Prime Infrastructure, or Cisco ThousandEyes.
• Strong knowledge of routing & switching protocols (BGP, OSPF, EIGRP, VLANs, STP, HSRP, VRRP).
• Familiarity with network monitoring tools and log analysis for troubleshooting.
• Basic knowledge of firewall integrations, VPNs, and network security policies.

Preferred Qualifications 

• ITIL Foundation
• Desired certification from either of the following CCNP Enterprise or CCNP Security (preferred).
• Has a hands-on experience working multiple clients and deployments for the BAU operations and support‍

We are seeking an experienced and highly skilled Technical Lead with a strong background in Java, SaaS architectures, firewalls, and cybersecurity products, including SIEM and SOAR platforms. The ideal candidate will lead technical initiatives, design and implement scalable systems, and drive best practices across the engineering team. This role requires deep technical expertise, leadership abilities, and a passion for building secure and high-performing security solutions.

Key Roles & Responsibilities:

• Lead the design and development of scalable and secure software solutions using Java.
• Architect and build SaaS-based cybersecurity applications, ensuring high availability, performance, and reliability.
• Provide technical leadership, mentoring, and guidance to the development team.
• Ensure best practices in secure coding, threat modeling, and compliance with industry standards.
• Collaborate with cross-functional teams, including Product Management, Security, and DevOps to deliver high-quality security solutions.
• Design and implement security analytics, automation workflows and ITSM integrations.
•  Drive continuous improvements in engineering processes, tools, and technologies.
• Troubleshoot complex technical issues and lead incident response for critical production systems.

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 3-6 years of software development experience, with expertise in Java.
• Strong background in building SaaS applications with cloud-native architectures (AWS, GCP, or Azure).
• In-depth understanding of microservices architecture, APIs, and distributed systems.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of DevSecOps principles, CI/CD pipelines, and infrastructure as code (Terraform, Ansible, etc.).
• Strong problem-solving skills and ability to work in an agile, fast-paced environment.
• Excellent communication and leadership skills, with a track record of mentoring engineers.

Preferred Qualifications:

• Experience with cybersecurity solutions, including SIEM (e.g., Splunk, ELK, IBM QRadar) and SOAR (e.g., Palo Alto XSOAR, Swimlane).
• Knowledge of zero-trust security models and secure API development.
• Hands-on experience with machine learning or AI-driven security analytics.

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
• Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
• Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
• API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
• Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
• Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 5-8 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications  

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and implement software solutions that power machine learning models, particularly in LLMs 
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects 
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges 
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility 
• Design and implement a scale infrastructure for developing and deploying GenAI solutions 
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 3-5 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly 

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 a 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 looking for a Senior Software Development Engineer with 5-8 years of experience specializing in infrastructure deployment automation and VMware workload migration. The ideal candidate will have expertise in Infrastructure-as-Code (IaC), VMware vSphere, vMotion, HCX, Terraform, Kubernetes, and AI POD managed services. You will be responsible for automating infrastructure provisioning, migrating workloads from VMware environments to cloud and hybrid infrastructures, and optimizing AI/ML deployments.

Key Roles & Responsibilities

• Automate infrastructure deployment using Terraform, Ansible, and Helm for VMware and cloud environments.
• Develop and implement VMware workload migration strategies, including vMotion, HCX, SRM (Site Recovery Manager), and lift-and-shift migrations.
• Migrate VMware-based workloads to public cloud (AWS, Azure, GCP) or hybrid cloud environments.
• Optimize and manage AI POD workloads on VMware and Kubernetes-based environments.
• Leverage VMware HCX for live and bulk workload migrations, ensuring minimal downtime and optimal performance.
• Automate virtual machine provisioning and lifecycle management using VMware vSphere APIs, PowerCLI, or vRealize Automation.
• Integrate VMware workloads with Kubernetes for containerized AI/ML workflows.
• Ensure workload high availability and disaster recovery post-migration using VMware SRM, vSAN, and backup strategies.
• Monitor and troubleshoot migration performance using vRealize Operations, Prometheus, Grafana, and ELK.
• Develop and optimize CI/CD pipelines to automate workload migration, deployment, and validation.
• Ensure security and compliance for workloads before, during, and after migration.
• Collaborate with cloud architects to design hybrid cloud solutions supporting AI/ML workloads.

Basic Qualifications

• 5–8 years of experience in infrastructure automation, VMware workload migration, and cloud integration.
• Expertise in VMware vSphere, ESXi, vMotion, HCX, SRM, vSAN, and NSX-T.
• Hands-on experience with workload migration tools such as VMware HCX, CloudEndure, AWS Application Migration Service, and Azure Migrate.
• Proficiency in Infrastructure-as-Code using Terraform, Ansible, PowerCLI, and vRealize Automation.
• Strong experience with Kubernetes (EKS, AKS, GKE) and containerized AI/ML workloads.
• Experience in public cloud migration (AWS, Azure, GCP) for VMware-based workloads.
• Hands-on knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
• Strong scripting and automation skills in Python, Bash, or PowerShell.
• Familiarity with disaster recovery, backup, and business continuity planning in VMware environments.
• Experience in performance tuning and troubleshooting for VMware-based workloads.

Preferred Qualifications

• Experience with NVIDIA GPU orchestration (e.g., KubeFlow, Triton, RAPIDS).
• Familiarity with Packer for automated VM image creation.
• Exposure to Edge AI deployments, federated learning, and AI inferencing at scale.
• Contributions to open-source infrastructure automation projects.

We are seeking an experienced WordPress Developer with expertise in both frontend and backend development. The ideal candidate will have a deep understanding of headless WordPress architecture, where the backend is managed with WordPress, and the frontend is built using React.js (or Next.js). The developer should follow best coding practices to ensure the website is secure, high-performing, scalable, and fully responsive. 

Key Responsibilities: 

Backend Development (WordPress): 

• Develop and maintain a headless WordPress CMS to serve content via REST API / GraphQL. 
• Create custom WordPress plugins and themes to optimize content delivery. 
• Ensure secure authentication and role-based access for API endpoints. 
• Optimize WordPress database queries for better performance. 

Frontend Development (React.js / Next.js): 

• Build a decoupled frontend using React.js (or Next.js) that fetches content from WordPress. 
• Experience with Figma for translating UI/UX designs to code. 
• Ensure seamless integration of frontend with WordPress APIs. 
• Implement modern UI/UX principles to create responsive, fast-loading web pages. 

Code quality, Performance & Security Optimization: 

• Optimize website speed using caching, lazy loading, and CDN integration. 
• Ensure the website follows SEO best practices and is mobile-friendly. 
• Implement security best practices to prevent vulnerabilities such as SQL injection, XSS, and CSRF. 
• Write clean, maintainable, and well-documented code following industry standards. 
• Implement version control using Git/GitHub/GitLab. 
• Conduct regular code reviews and debugging to ensure a high-quality product. 

Collaboration & Deployment: 

• Work closely with designers, content teams, and project managers. 
• Deploy and manage WordPress and frontend code in staging and production environments. 
• Monitor website performance and implement improvements. 

Required Skills & Qualifications: 

• B.E/B. Tech Degree, Master’s Degree required
• Experience: 6 – 8 Years
• Strong experience in React.js / Next.js for building frontend applications. 
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3, and TailwindCSS.
• Familiarity with SSR (Server Side Rendering) and SSG (Static Site Generation). 
• Experience in WordPress development (PHP, MySQL, WP REST API, GraphQL). 
• Experience with ACF (Advanced Custom Fields), Custom Post Types, WP Headless CMS. 
• Strong knowledge of WordPress security, database optimization, and caching techniques. 

Why Join Us:

• Competitive salary and benefits package.
• Work in a dynamic, collaborative, and creative environment.
• Opportunity to lead and influence design decisions across various platforms.
• Professional development opportunities and career growth potential.

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 a 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 an experienced Staff Engineer with expertise in SONiC (Software for Open Networking in the Cloud), Networking, Security, and Linux. The ideal candidate will have a deep understanding of data plane and control plane networking, security mechanisms, and open-source networking stacks. You will play a crucial role in designing, developing, and optimizing high-performance networking solutions based on SONiC, working on switch OS internals, and ensuring security at all levels.

Key Roles & Responsibilities

• Design, develop, and optimize SONiC-based networking solutions for data center and cloud environments.
• Contribute to SONiC’s Control Plane, Data Plane, SAI (Switch Abstraction Interface), and integration with ASICs.
• Develop and enhance network security mechanisms, including ACLs, firewall rules, and secure communication protocols.
• Work with Linux kernel networking stack, DPDK, eBPF, and other high-performance packet processing frameworks.
• Integrate and optimize FRR (Free Range Routing), BGP, OSPF, and other routing protocols within SONiC.
• Collaborate with ASIC vendors to integrate new chipsets with SONiC through SAI API development.
• Drive software development using C, C++, Python, and Go for various networking and security features.
• Optimize Netfilter, iptables, nftables, and XDP/eBPF for security and performance enhancements.
• Design and implement Zero Trust Security models for networking and cloud infrastructure.
• Work on containerized networking (CNI), Kubernetes networking, and SDN solutions.
• Debug and troubleshoot networking and security issues using tcpdump, Wireshark, gdb, strace, and perf tools.
• Contribute to open-source networking projects and work with the SONiC community.

Basic Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or a related field.
• 8–12 years of experience in networking software development, security, and Linux systems programming.
• Strong expertise in SONiC architecture, SAI, and open networking platforms.
• Proficiency in L2/L3 networking protocols (BGP, OSPF, MPLS, VXLAN, EVPN, etc.).
• Strong knowledge of network security concepts, including firewalling, VPNs, and DDoS mitigation.
• Experience with Linux networking internals, Netfilter, iptables, nftables, XDP, and eBPF.
• Proficiency in C, C++, Python, and Go for networking software development.
• Strong debugging skills using tcpdump, Wireshark, gdb, strace, perf, and ASAN.
• Experience working with network ASICs (Broadcom, Mellanox, Marvell, or Intel-based chipsets).
• Good understanding of container networking, Kubernetes CNI, and SDN concepts.
• Hands-on experience with CI/CD, Git, Jenkins, and automated testing frameworks.

Preferred Qualifications

• Experience in DPDK, P4 programming, and FPGA-based networking solutions.
• Contributions to open-source networking projects (SONiC, FRR, Linux kernel, etc.).
• Knowledge of TLS, IPSec, MACsec, and secure boot mechanisms.
• Experience working with public cloud networking (AWS, Azure, GCP).

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 a 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 Senior Software Development Engineer – Data Engineering with 5-8 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. 

Key Roles & Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and Snowflake.
• Implement real-time and batch data processing workflows in cloud environments (AWS, Azure, GCP).
• Develop high-performance, scalable data pipelines for structured, semi-structured, and unstructured data.
• Work with Delta Lake and Lakehouse architectures to improve data reliability and efficiency.
• Optimize Snowflake and Databricks performance, including query tuning, caching, partitioning, and cost optimization.
• Implement data governance, security, and compliance best practices.
• Build and maintain data models, transformations, and data marts for analytics and reporting.
• Collaborate with data scientists, analysts, and business teams to define data engineering requirements.
• Automate infrastructure and deployments using Terraform, Airflow, or dbt.
• Monitor and troubleshoot data pipeline failures, performance issues, and bottlenecks.
• Develop and enforce data quality and observability frameworks using Great Expectations, Monte Carlo, or similar tools.

Basic Qualifications:

• Bachelor’s or Master’s Degree in Computer Science or Data Science.
• 5–8 years of experience in data engineering, big data processing, and cloud-based data platforms.
• Hands-on expertise in Apache Spark, PySpark, and distributed computing frameworks.
• Strong experience with Snowflake (Warehouses, Streams, Tasks, Snowpipe, Query Optimization).
• Experience in Databricks (Delta Lake, MLflow, SQL Analytics, Photon Engine).
• Proficiency in SQL, Python, or Scala for data transformation and analytics.
• Experience working with data lake architectures and storage formats (Parquet, Avro, ORC, Iceberg).
• Hands-on experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
• Experience in workflow orchestration tools like Apache Airflow, Prefect, or Dagster.
• Strong understanding of data governance, access control, and encryption strategies.
• Experience with CI/CD for data pipelines using GitOps, Terraform, dbt, or similar technologies.

Preferred Qualifications:

• Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
• Experience in BI and analytics tools (Tableau, Power BI, Looker).
• Familiarity with data observability tools (Monte Carlo, Great Expectations).
• Experience with machine learning feature engineering pipelines in Databricks.
• Contributions to open-source data engineering projects.

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 a 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 building an advanced Cybersecurity AI Platform designed for high-stakes security environments, including Fortune 500 enterprises, government agencies, and defense organizations. As a UI Engineer, you will be responsible for developing a high-performance, secure, and responsive user interface that enables security teams to visualize real-time threat intelligence and interact with large-scale security datasets while adhering to the highest security and compliance standards. 

You will work with React.js, TypeScript, APIs, WebSockets, and a hybrid JavaScript SDK to build enterprise-grade security applications and dashboards that are fast, scalable, and trusted by organizations where security is critical. 

Key Roles & Responsibilities:

• Develop responsive applications that efficiently manage large-scale cybersecurity systems
• Build scalable UIs that render large volumes of security data efficiently
• Create real-time security dashboards using React.js, TypeScript, and data visualization libraries (Recharts, ECharts, or Chart.js)
• Integrate WebSockets, REST APIs, and a JavaScript SDK to ensure real-time security event tracking
• Implement role-based access control (RBAC/ABAC), multi-factor authentication (MFA), and secure session management
• Follow secure UI development practices to prevent XSS, CSRF, Clickjacking, and data leaks
• Optimize UI performance using React Profiler, Lighthouse, lazy loading, and memoization
• Write and maintain comprehensive end-to-end tests using Playwright to ensure cross-browser compatibility and security validation
• Work in an agile startup environment, balancing speed and precision to deliver high-impact features

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 5+ years of experience in building modern web applications using React.js and TypeScript
• Strong experience in Playwright for automated UI testing, network interception, and security debugging
• Deep understanding of secure frontend development, including Content Security Policy (CSP), input validation, and secure authentication flows
• Experience handling real-time data via WebSockets and REST APIs
• Proficiency in state management using Zustand or React Query
• Knowledge of accessibility best practices (WCAG, Section 508)
• Familiarity with frontend performance tuning and handling large-scale datasets
• Strong grasp of Git, CI/CD pipelines, and cloud-based frontend deployment (Vercel, AWS, or similar platforms)

Preferred Qualifications:

• Experience in cybersecurity, threat intelligence, or network security platforms
• Prior work on real-time data dashboards for security monitoring
• Familiarity with geospatial JavaScript tools for tracking and visualizing security threats
• Experience with Storybook for UI documentation and component testing

About the Company – Gruve

Gruve is an innovative software services startup dedicated to empowering enterprise customers in managing their Data Life Cycle. We specialize in Cybersecurity, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence.

As a well-funded early-stage startup, we offer a dynamic environment, backed by strong customer and partner networks. Our mission is to help customers make smarter decisions through data-driven business strategies.

Why Gruve

At Gruve, we foster a culture of:

• Innovation, collaboration, and continuous learning
• Diversity and inclusivity, where everyone is encouraged to thrive
• Impact-focused work — your ideas will shape the products we build

We’re an equal opportunity employer and encourage applicants from all backgrounds. We appreciate all applications, but only shortlisted candidates will be contacted.

Position Summary

We are seeking a highly skilled Software Engineer to lead the development of an Infrastructure Asset Management Platform. This platform will assist infrastructure teams in efficiently managing and tracking assets for regulatory audit purposes.

You will play a key role in building a comprehensive automation solution to maintain a real-time inventory of critical infrastructure assets.

Key Responsibilities

• Design and develop an Infrastructure Asset Management Platform for tracking a wide range of assets across multiple environments.
• Build and maintain automation to track:
• Physical Assets: Servers, power strips, racks, DC rooms & buildings, security cameras, network infrastructure.
• Virtual Assets: Load balancers (LTM), communication equipment, IPs, virtual networks, VMs, containers.
• Cloud Assets: Public cloud services, process registry, database resources.
• Collaborate with infrastructure teams to understand asset-tracking requirements and convert them into technical implementations.
• Optimize performance and scalability to handle large-scale asset data in real-time.
• Document system architecture, implementation, and usage.
• Generate reports for compliance and auditing.
• Ensure integration with existing systems for streamlined asset management.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field
• 3–6 years of experience in software development
• Strong proficiency in Golang and Python
• Hands-on experience with public cloud infrastructure (AWS, GCP, Azure)
• Deep understanding of automation solutions and parallel computing principles

Preferred Qualifications

• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork skills