Title: Senior DevOps Engineer – On-Premise & Hybrid Cloud

Location: Bangalore

Experience: 8–10+ years

Type: Full-time

Role Overview

We are seeking a highly skilled Senior DevOps Engineer to lead infrastructure and deployment efforts for our next-generation data and AI platform. This role focuses on building resilient, scalable systems for on-premises and hybrid environments, supporting microservices, real-time data streaming, and batch processing.

You will work closely with architects and engineering teams to design, automate, and scale infrastructure for mission-critical applications involving Kafka, Spark, and distributed storage systems.

Key Responsibilities

Infrastructure Design & Automation

Architect and maintain hybrid and on-premises environments for compute and storage workloads.

Deploy and manage containerized microservices using Kubernetes (on-prem and cloud).

Automate infrastructure provisioning using Terraform, Ansible, or similar tools.

Configure and scale distributed data streaming and storage platforms (eg: Kafka clusters, Apache Spark, and data lake/warehouse).

Scalability & Performance

Design for elastic scaling, load balancing, and resource isolation for data services and APIs.

Security & Governance

Secure hybrid deployments with VPNs, firewalls, and identity management.

Implement data access controls, audit trails, and encryption across services and storage layers.

Manage secrets securely across environments.

Monitoring,



Logging & Resilience

Set up observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) for real-time insight.

CI/CD & Operations

Build pipelines to deploy services, data jobs, and configuration changes to hybrid infra.

Maintain and enhance CI/CD pipelines for zero-downtime deployments and rollbacks.

Support SRE practices including incident management, post-mortems, and runbook creation.

Required Skills

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

8+ years in DevOps and SRE roles.

Strong experience with hybrid and on-prem Kubernetes deployments.

Proficiency in infrastructure automation (Terraform, Ansible, Helm).

Experience with data processing and microservices orchestration, supporting real-time data platforms in hybrid or on-premises environments.

Solid understanding of networking, storage, firewalls, and security for hybrid deployments.

Programming/scripting experience with Bash, Python, or Go.

Strong grasp of DevOps best practices, observability, and system reliability engineering.

Valuable to Have

Experience with data lake/warehouse platforms (HDFS, S3-compatible storage, Redshift, Snowflake).

Knowledge of event-driven architectures, ETL/ELT pipelines, and data mesh concepts.

Exposure to machine learning operations (MLOps) or data science workflows.

Certifications in Kubernetes, cloud platforms, or security are a plus.

📌 DevOps Consultant (Karnataka)
🏢 Waisl
📍 Karnataka