Senior DevOps Engineer (6+ Years Experience)

📍 AhmedabadFull-timeEngineering

Job Description

Overview

We are looking for a highly skilled Senior DevOps Engineer with 6+ years of experience, along with exposure to Data Engineering tools and workflows. The ideal candidate will bridge the gap between infrastructure, application deployment, and data pipelines—ensuring scalable, reliable, and automated systems across the organization.

Key Responsibilities

1. Infrastructure & Cloud Management

Design and manage scalable infrastructure on AWS / Azure / GCP.
Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
Manage networking, security, load balancing, and storage services.

2. CI/CD & Automation

Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
Automate build, test, and deployment workflows.
Implement blue-green / canary deployments for zero downtime.

3. Containerization & Orchestration

Containerize applications using Docker.
Deploy and manage workloads on Kubernetes (EKS/AKS/GKE).
Optimize cluster performance, scaling, and resource utilization.

4. Data Engineering & Pipeline Support

Build and maintain data pipelines (ETL/ELT) for ingestion and processing.
Work with data platforms like Snowflake, Redshift, and BigQuery.
Automate data workflows using tools like Apache Airflow / Prefect.
Optimize data queries and pipelines for performance and cost efficiency.
Support real-time and batch processing systems.

5. Monitoring & Observability

Implement monitoring and logging using Prometheus, Grafana, ELK, Datadog, and CloudWatch.
Track pipeline health, system performance, and failures.
Define SLIs/SLOs and ensure high availability.

6. Security & Compliance

Implement DevSecOps practices including secrets management and vulnerability scanning.
Secure data pipelines and cloud infrastructure.
Manage IAM roles, access control, and compliance policies.

7. Performance & Cost Optimization

Optimize infrastructure and data workloads for cost and performance.
Implement auto-scaling strategies and workload tuning.
Improve deployment and data processing efficiency.

8. Collaboration & Documentation

Work with engineering, data, and product teams.
Document architecture, pipelines, and best practices.
Mentor junior engineers and promote DevOps & DataOps culture.

Required Skills & Experience

Core Skills

6+ years of experience in DevOps / Cloud / Platform Engineering.
Strong experience with Linux systems and networking.
Hands-on experience with at least one cloud platform: AWS / Azure / GCP.

DevOps & Cloud

CI/CD: Jenkins, GitHub Actions, GitLab CI/CD
Containerization: Docker
Orchestration: Kubernetes
IaC: Terraform / CloudFormation

Data Engineering Skills

Data Warehousing: Snowflake / Amazon Redshift / BigQuery
ETL/ELT Pipelines & Workflow Orchestration
Tools: Apache Airflow, Prefect
Strong SQL knowledge including query optimization, joins, and indexing
Data processing: Pandas, PySpark (good to have)

Monitoring & Tools

Prometheus, Grafana, ELK Stack, Datadog
Logging, tracing, and alerting systems

Scripting & Development

Python / Bash scripting
API integrations and automation

Good to Have

GitOps (ArgoCD / Flux)
Multi-region deployments & disaster recovery
Kafka / event-driven architecture
Experience with data streaming (Kafka / Kinesis)
Exposure to ML pipelines / data platforms
Cloud cost optimization strategies

Soft Skills

Strong analytical and problem-solving skills
Effective communication and collaboration
Ability to work in agile and fast-paced environments

Why Join Us

Work on modern cloud and data-driven systems
Exposure to DevOps + Data Engineering (DataOps) practices
Opportunity to build scalable, high-performance platforms

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Posted:

March 19, 2026