Job Description

About Quantique Minds

Quantique Minds is a Bengaluru-based AI consultancy founded by Fortune 500 alumni, on a bold mission to digitally transform 10,000 Indian enterprises by 2030. We specialize in revenue-first solutions that deliver measurable impact from Day 1, combining deep expertise in AI, digital transformation, and custom software development. Our team brings over 100 years of combined experience across BFSI, product engineering, and global business strategy. At Quantique Minds, speed of execution, customer success, and sustainable growth are core to everything we do.

As part of our

Engineering team

, you'll work alongside passionate developers, product strategists, and designers who thrive on crafting scalable, high-quality solutions that power our customers' success.

About the Role

We're looking for a DevOps Engineer who will architect, build, and maintain robust cloud infrastructure and CI/CD systems that drive our SaaS products. You'll ensure that our applications are highly available, secure, and scalable, while constantly optimizing performance, automation, and developer productivity.

This role is a blend of operations engineering, automation craftsmanship, and systems design thinking -- perfect for someone who enjoys solving complex infrastructure problems and making deployment pipelines faster, smarter, and safer.

Key Responsibilities1. Infrastructure Automation & Cloud Management

Design, build, and maintain scalable cloud infrastructure on

AWS, Azure, or GCP.

Implement Infrastructure as Code (IaC) using Terraform,

AWS CloudFormation, or Pulumi.

Manage environments across staging, production, and sandbox setups. Continuously optimize costs, performance, and reliability of cloud systems.

2. CI/CD Pipeline Ownership

Build and maintain automated CI/CD pipelines for multiple SaaS products using Jenkins, GitHub Actions, GitLab CI, or CircleCI. Integrate testing, code analysis, and deployment workflows to ensure zero-downtime releases. Collaborate with developers and QA teams to automate deployment and rollback mechanisms.

3. Monitoring, Logging & Reliability

Set up end-to-end monitoring and alerting systems using Prometheus, Grafana, New Relic, or Datadog. Manage centralized logging through ELK, Graylog, or CloudWatch. Track uptime, latency, and incident metrics -- ensuring SLA compliance and rapid response to issues

4. Security & Compliance

Implement security best practices in cloud architecture, identity management, and networking. Manage firewalls, SSL, IAM policies, secret management, and VPC configurations. Conduct infrastructure vulnerability assessments and coordinate with the security team for patching.

5. Automation & tooling

Create scripts and tools to automate routine DevOps and sysadmin tasks. Maintain containerized environments using Docker and Kubernetes. Streamline build, deployment, and rollback processes through smart automation and versioning strategies.

6. Collaboration & Documentation

Work closely with Engineering, QA, and Product teams to ensure deployment readiness. Document processes, architecture, and incident reports for transparency and continuity. Participate in sprint planning, release reviews, and infrastructure retrospectives.

Key RequirementsEducation & Experience

Bachelor's degree in Computer Science, Information Technology, or equivalent. 1-3 years of hands-on experience as a

DevOps Engineer, Site Reliability Engineer (SRE), or Infrastructure Engineer

, ideally in a SaaS or Cloud-native company..

Technical Skills

Cloud Platforms:

Strong experience with

AWS

,

GCP

, or

Azure

.

CI/CD:

Expertise in tools like

Jenkins

,

GitHub Actions

, or

GitLab CI

.

IaC:

Proficiency with

Terraform

,

Ansible

, or

CloudFormation

.

Containers:

Deep understanding of

Docker

,

Kubernetes

, and

Helm charts

.

Scripting:

Ability to write automation scripts using

Python

,

Bash

, or

Go

.

Monitoring:

Familiarity with

Prometheus

,

Grafana

,

New Relic

, or

ELK

stack.

Version Control:

Experience with

Git

,

GitOps

, and

branching strategies

.

Networking:

Knowledge of

DNS, load balancing, VPNs, firewalls, and reverse proxies

.

Bonus Skills

Familiarity with

microservices

,

service mesh architectures

(e.g., Istio or Linkerd). Experience in

serverless deployments

(AWS Lambda, Google Cloud Functions). Exposure to

FinOps

(cloud cost optimization) and

observability engineering

. Basic knowledge of

security hardening

,

compliance (ISO/SOC)

, or

incident response

.

Soft Skills & Attributes

Ability to work independently with deep attention to detail with a structured approach. Systematic thinker with an automation-first mindset. Strong communication skills to collaborate across engineering teams. Calm and analytical during production incidents or outages. Curious, detail-oriented, and passionate about continuous improvement. Ability to balance

speed and stability

in a fast-paced release environment.

Join Us

If you're passionate about automation, reliability, and performance at scale, and want to shape how cloud infrastructure powers next-generation SaaS -- Quantique Minds is where your expertise will have real impact.

Apply Now

and help us build systems that never sleep.

Job Types: Full-time, Permanent

Pay: Up to ₹700,000.00 per year

Benefits:

Health insurance Paid time off Provident Fund
Ability to commute/relocate:

Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):

What is your Current CTC (Eg, 5 LPA)? What is your Expected CTC (Eg, 6 LPA)?
Experience:

DevOps: 1 year (Preferred)
Work Location: In person