DevOps Engineer

PixieBytez Innovations; Ahmedabad District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PixieBytez Innovations in India is seeking a seasoned DevOps Engineer to bridge infrastructure, software development, and data workflows. The candidate will design scalable cloud architectures, implement robust CI/CD pipelines, and automate deployments using IaC tools.

Key focus areas include ETL/ELT data pipelines, data quality, and security governance. You will work with Docker, Kubernetes, and major cloud providers to ensure reliable, observable systems and seamless collaboration between

Qualifications

• 5+ years of experience in DevOps / Cloud Engineering.
• Proficient in CI/CD tooling and automation.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong understanding of data pipelines and ETL/ELT concepts.
• Knowledge of security best practices and RBAC governance.

Responsibilities

• Design, implement, and manage scalable cloud infrastructure (AWS / Azure / GCP).
• Build and maintain CI/CD pipelines for application and data workflows.
• Automate deployments using Infrastructure as Code (Terraform / CloudFormation).
• Monitor system performance, availability, and reliability using monitoring tools.
• Design and manage ETL/ELT pipelines with Airflow, Glue, Data Factory, or similar.
• Ensure data quality and governance across pipelines.

Skills

DevOps experience

CI/CD expertise

RBAC governance

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions

Jenkins

GitLab CI/CD

Docker

Kubernetes

Terraform

CloudFormation

Job description

Job Description – DevOps Engineer

Certified | 5+ Years Experience | CI/CD | Cloud | ETL/ELT

Role Overview

We are looking for a Certified DevOps Engineer with 5+ years of hands‑on experience who can bridge infrastructure, development, and data engineering workflows. This role requires strong expertise in CI/CD, cloud platforms, and data pipelines (ETL/ELT) to build scalable, reliable, and automated systems.

Key Responsibilities

Infrastructure & DevOps

• Design, implement, and manage scalable cloud infrastructure (AWS / Azure / GCP)
• Build and maintain CI/CD pipelines for application and data workflows
• Automate deployments using Infrastructure as Code (Terraform / CloudFormation)
• Monitor system performance, availability, and reliability using Prometheus, Grafana, or cloud-native services

Data Engineering & ETL Pipelines

• Design and manage ETL/ELT pipelines for data ingestion and transformation
• Build scalable data workflows using Apache Airflow, AWS Glue, Azure Data Factory, or similar
• Ensure data quality, validation, and consistency across pipelines
• Optimize batch and real‑time data processing systems

Security & Governance

• Implement role-based access control (RBAC) and cloud security best practices
• Manage secrets, credentials, and secure configurations
• Ensure compliance with data governance and security policies

Automation & Integration

• Automate infrastructure provisioning and application deployment processes
• Integrate third‑party tools, APIs, and data sources into pipelines
• Enable seamless collaboration between development, QA, and data teams

Required Skills & Experience

Core DevOps Skills

• 5+ years of experience in DevOps / Cloud Engineering
• Strong expertise in CI/CD tools (GitHub Actions, Jenkins, GitLab CI/CD)
• Hands‑on experience with Docker and Kubernetes
• Experience with Infrastructure as Code (Terraform preferred)

Cloud & Systems

• Certification in cloud platforms (AWS / Azure / GCP DevOps)
• Strong experience with cloud services (compute, storage, networking, IAM)
• Knowledge of Linux systems and networking concepts
• Troubleshooting deployments and cloud infrastructure issues

Data Pipeline & ETL

• Experience building and managing ETL/ELT pipelines
• Hands‑on with tools like Airflow, Databricks, Glue, or similar
• Strong SQL knowledge (PostgreSQL, MySQL, BigQuery, Snowflake)
• Understanding of data warehousing (Medallion Architecture, data lakes, etc.)

Preferred Skills

• Experience with streaming systems (Kafka, Kinesis, Pub/Sub)
• Familiarity with MLOps / AI pipelines
• Experience with monitoring & logging tools (ELK Stack, Datadog)
• Knowledge of scripting languages (Python / Bash)

Education

Bachelor’s degree in Computer Science, IT, or related field