Job Title: Data Engineer
Location: Remote
Experience: 2–7 years
Employment Type: Full-time
About NexgAI
NexgAI is a technology and AI-focused company at the forefront of innovation,
leveraging data and intelligent technologies to transform industries. We build AI Growth
Engines for small, medium, and large enterprises by unifying data, uncovering
actionable insights, and enabling data-driven decision-making that powers business
growth.
Contact on: hr@nexgai.com
Role Overview
We are seeking an experienced Data Engineer to design, develop, and manage scalable
data pipelines and data infrastructure. The ideal candidate will have strong hands-on
experience in building robust ETL/ELT processes, working with structured and
unstructured data, and supporting analytics and AI workloads. This role will work closely
with AI engineers, product teams, and analysts to ensure clean, reliable, and accessible
data.
Key Responsibilities
• Design, build and maintain scalable data pipelines (ETL/ELT) for processing large
datasets to be consumed by AI agents downstream.
• Work with databases and data warehouses such as PostgreSQL, MySQL, Snowflake
or similar.
• Use Python, SQL, and relevant data frameworks (PySpark, Pandas, etc.) for data
processing.
• Deep expertise in building large-scale data processing and Ingestion pipelines using
Apache Kafka, Python Prefect/Celery or similar industry standard tools.
• Implement data governance, security, and compliance best practices
Minimum Qualifications
• 2+ years of hands-on experience as a Data Engineer or in a similar role.
• Strong proficiency in Python and SQL.
• Experience with relational and NoSQL databases.
• Experience Designing, building and maintaining ETL/ELT pipelines at scale.
• Active Certification with at least one cloud platform (AWS, Azure, or GCP).
• Ability and drive to quickly adapt and learn new frameworks and technologies to
implement them at production-scaleLorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Job Title: DevOps Engineer
Location: Remote Experience: 2–7 years
Employment Type: Full-time
About NexgAI NexgAI is a technology and AI-focused company at the forefront of innovation, leveraging the power of advanced technologies and intelligent platforms to transform industries. We build AI Growth Engines for small, medium, and large enterprises by unifying data, uncovering actionable insights, and enabling scalable, secure, and reliable digital systems that drive business growth. Role Overview We are seeking an experienced DevOps Engineer to design, implement, and maintain scalable, secure, and highly available infrastructure and CI/CD systems. The ideal candidate will have strong hands-on experience in automating deployment workflows, managing cloud infrastructure, and supporting production-grade environments. Key Responsibilities • Design, implement and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI or similar. • Deep knowledge in deploying LLMs for at-scale, mission-critical inference through vLLM (or similar) using load-balanced multi-GPU, multi-node configurations. • Automate infrastructure provisioning using Terraform or other Infrastructure-as-Code (IaC) tools. • Manage containerized applications using Docker and Kubernetes. • Monitor and maintain tools like Prometheus, Grafana, ELK / EFK stack. • Deploy, manage, and optimize applications on at least one cloud provider: AWS, Azure, or GCP. • Implement security best practices and contribute to DevSecOps initiatives. • Configure and manage Nginx / Apache web servers and load balancers. Minimum Requirements • 2+ years of hands-on experience in DevOps or Site Reliability Engineering. • Strong experience with Linux / Unix administration and Shell scripting. • Strong sense of ownership with the ability to design, implement and maintain end-toend production-level AI stack using appropriate tools • Willingness and ability to consistently adapt and learn new technologies and apply best practices • Certified in DevOps with atleast 1 cloud provider (AWS, GCP or Azure
