Job Summary

We are looking for an experienced

Senior DevOps Engineer with a robust background in implementing DevOps tools and methodologies, cloud-native architectures, and cross-functional team leadership. This role requires hands-on expertise in managing and delivering robust, scalable, and compliant solutions in collaboration with development, AI, and data engineering teams.

Key Responsibilities

- Lead end-to-end implementation of DevOps practices, CI/CD pipelines, and infrastructure automation.

- Act as Technical Project Manager and Tech Lead across multiple projects, ensuring timely delivery and architectural integrity.

- Collaborate with AI and Data Engineering teams to develop and maintain scalable AI and ETL data pipelines using tools like Kestra, Azure Data Factory, AWS Glue, Google Cloud Dataflow, and AWS Bedrock.

- Design and implement cloud-native solutions across

AWS, Azure, and GCP

.

- Drive compliance efforts for HIPAA, SOC, and other regulatory standards through secure architecture and DevOps best practices.

- Architect and support message-driven and event-driven systems for real-time and asynchronous processing.

- Guide DevOps and development teams in selecting the right tools, technologies, and patterns for resilient software design.

- Monitor, troubleshoot,



and optimize infrastructure and application performance in production environments.

- Ensure documentation, process standardization, and knowledge sharing within cross-functional teams.

Required Skills & Qualifications

- Bachelor’s degree in Computer Science, Engineering, or related field.

- 4+ years of experience in DevOps, Cloud Engineering, or Technical Project Management.

- Strong experience with CI/CD tools, IaC (Terraform, CloudFormation), and containerization (Docker, Kubernetes).

- Proficiency with

AWS, Azure, and GCP cloud services including

GCP

Compute, GCP Dataflow, BigQuery, and related services.

- Experience with Azure Data Factory, AWS Glue, AWS Bedrock, and GCP data-engineering services.

- Knowledge of data pipeline orchestration tools (e.g., Kestra, Apache Airflow).

- Familiarity with AI/ML workflows and experience working with AI teams.

- Experience implementing HIPAA and SOC compliance measures.

- Strong understanding of event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.).

- Proven leadership and project management skills with the ability to mentor and lead engineering teams.

Share your updated CV on -

[email protected]

📌 Sr DevOps Engineer (Ahmedabad)
🏢 BrainerHub Solutions
📍 Ahmedabad