Qureos Mentor

Scrumconnect Consulting

<div><div><p>Job Information</p>
<ul><div><p>Date Opened</p>
<div>27/08/2025
</div></div><div><p>Job Type</p>
<div>Permanent
</div></div><div><p>Work Experience</p>
<div>5+ years
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Salary</p>
<div>15-20 LPA
</div></div><div><p>City</p>
<div>Bangalore
</div></div><div><p>Province</p>
<div>Karnataka
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Postal Code</p>
<div>560052
</div></div></ul></div><div><p>Job Description</p>
<div><p>Position Overview</p><p><br>
We are seeking an experienced DevOps Engineer to architect and manage the infrastructure backbone of our revolutionary AI startup. This role offers an exceptional opportunity to build scalable, secure, and efficient systems that power next-generation AI applications. You'll work directly with our founding team to establish DevOps practices that will scale from MVP to enterprise-level solutions.</p><p><br>
Key Responsibilities<br>
</p><p>
Infrastructure &amp; Cloud Management<br>
</p><ul><li>
Design and implement scalable cloud infrastructure on AWS, Azure, or GCP for AI/ML workloads<br>
</li><li>
Architect and manage Kubernetes clusters optimised for ML training and inference<br>
</li><li>
Build and maintain infrastructure as code using Terraform, CloudFormation, or Pulumi<br>
</li><li>
Implement auto-scaling solutions for variable AI compute demands<br>
</li><li>
Manage GPU clusters and specialized hardware for deep learning workloads<br>
</li></ul><p>
MLOps &amp; AI Pipeline Management<br>
</p><ul><li>
Design and implement CI/CD pipelines specifically for machine learning model deployment<br>
</li><li>
Build automated model training, validation, and deployment workflows<br>
</li><li>
Implement model versioning, experiment tracking, and artifact management systems<br>
</li><li>
Set up monitoring and alerting for ML model performance and data drift detection<br>
</li><li>
Create disaster recovery and rollback strategies for AI model deployments<br>
</li></ul><p>
Platform Engineering<br>
</p><ul><li>
Develop internal developer platforms and self-service tools for the engineering team<br>
</li><li>
Implement secure API gateways and microservices architecture for AI applications<br>
</li><li>
Build and maintain data pipelines for real-time and batch processing<br>
</li><li>
Design secrets management and security policies for sensitive AI data and models<br>
</li><li>
Establish logging, monitoring, and observability across all systems<br>
</li></ul><p>
Security &amp; Compliance<br>
</p><ul><li>
Implement security best practices for AI systems and sensitive data handling<br>
</li><li>
Design and maintain network security, firewalls, and VPN configurations<br>
</li><li>
Establish backup and disaster recovery procedures for critical AI infrastructure<br>
</li><li>
Ensure compliance with data protection regulations and industry standards<br>
</li><li>
Conduct regular security audits and vulnerability assessments<br>
</li></ul><p>
Performance Optimization<br>
</p><ul><li>
Monitor and optimize infrastructure costs, especially for expensive GPU resources<br>
</li><li>
Implement caching strategies for AI inference and data processing<br>
</li><li>
Optimize container orchestration for maximum resource utilization<br>
</li><li>
Performance tune databases and storage systems for AI workloads<br>
</li><li>
Establish SLA monitoring and capacity planning procedures<br>
</li></ul><p>
Required Qualifications<br>
</p><p>
Technical Expertise<br>
</p><ul><li><b>
Cloud Platforms</b>: 4+ years hands-on experience with AWS, Azure, or GCP<br>
</li><li><b>
Containerization</b>: Expert-level Docker and Kubernetes skills with production experience<br>
</li><li><b>
Infrastructure as Code</b>: Proficiency with Terraform, Ansible, or similar tools<br>
</li><li><b>
CI/CD</b>: Experience building robust pipelines using Jenkins, GitLab CI, GitHub Actions, or Azure DevOps<br>
</li><li><b>
Programming</b>: Strong scripting skills in Python, Bash, and familiarity with Go or Java<br>
</li></ul><p>
AI/ML Infrastructure Knowledge<br>
</p><ul><li>
Experience deploying and managing ML models in production environments<br>
</li><li>
Understanding of GPU computing, CUDA, and specialized AI hardware<br>
</li><li>
Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their deployment requirements<br>
</li><li>
Knowledge of data engineering tools and big data processing (Spark, Kafka, Airflow)<br>
</li><li>
Experience with ML model serving platforms (MLflow, Kubeflow, Seldon, or TensorFlow Serving)<br>
</li></ul><p>
DevOps Fundamentals<br>
</p><ul><li>
5-8 years of DevOps/SRE experience with demonstrated expertise in production systems<br>
</li><li>
Strong Linux administration skills and system performance optimization<br>
</li><li>
Experience with monitoring tools (Prometheus, Grafana, ELK/EFK stack, Datadog)<br>
</li><li>
Database management experience (PostgreSQL, MongoDB, Redis) with backup/recovery<br>
</li><li>
Network engineering knowledge including load balancers, CDNs, and service meshes<br>
</li></ul><p>
Preferred Qualifications<br>
</p><ul><li>
Previous experience in AI/ML startups or high-growth technology companies<br>
</li><li>
Certifications in cloud platforms (AWS Solutions Architect, Azure DevOps Engineer, etc.)<br>
</li><li>
Experience with edge computing and distributed AI inference systems<br>
</li><li>
Knowledge of data privacy frameworks and federated learning infrastructure<br>
</li><li>
Familiarity with FinOps practices for cloud cost optimization<br>
</li><li>
Experience with service mesh technologies (Istio, Linkerd, Consul Connect)<br>
</li></ul><p>
What We Offer<br>
</p><p>
Compensation &amp; Benefits<br>
</p><ul><li>
Competitive salary up to &#8377;20,00,000 per annum<br>
</li><li>
Comprehensive health insurance with family coverage and wellness benefits<br>
</li></ul><p>
Technical Growth<br>
</p><ul><li>
Access to cutting-edge AI infrastructure and latest cloud technologies<br>
</li><li>
Opportunity to shape the technical architecture of a groundbreaking AI product<br>
</li><li>
Direct collaboration with world-class AI researchers and engineers<br>
</li><li>
Mentorship from experienced startup founders and tech leaders<br>
</li></ul><p>
Work Environment<br>
</p><ul><li>
Flexible working arrangements with hybrid and remote options<br>
</li><li>
Modern office in Bengaluru with high-end development workstations<br>
</li><li>
Unlimited learning resources and access to cloud credits for experimentation<br>
</li><li>
Fast-paced, innovation-driven culture with direct impact on product success<br>
</li><li>
Regular tech talks, hackathons, and team building activities<br>
</li></ul><p>
Career Impact<br>
</p><ul><li>
Ground-floor opportunity in a stealth-mode AI company with massive potential<br>
</li><li>
Chance to build infrastructure that will serve millions of users<br>
</li><li>
Direct reporting to CTO/Founders with significant decision-making authority<br>
</li><li>
Opportunity to lead and build the DevOps team as the company scales<br>
</li><li>
Potential for international expansion and technology leadership roles<br>
</li></ul><p>
About This Opportunity</p><p><br>
Join us at the most exciting phase of our journey. As one of our first DevOps hires, you'll have unprecedented influence over our technical infrastructure and engineering culture. This role is perfect for someone who wants to combine deep technical expertise with entrepreneurial impact in the rapidly evolving AI landscape.</p><p><br>
You'll work on challenging problems like:</p><br>
<ul><li>
Scaling AI training from single GPUs to multi-node clusters<br>
</li><li>
Implementing real-time AI inference at global scale<br>
</li><li>
Building secure, compliant infrastructure for sensitive AI applications<br>
</li><li>
Optimizing costs while maintaining high performance for variable AI workloads<br>
</li></ul><p>
Required Mindset<br>
</p><ul><li>
Strong problem-solving skills with ability to debug complex distributed systems<br>
</li><li>
Excellent communication skills for cross-functional collaboration<br>
</li><li>
Passion for automation, efficiency, and engineering excellence<br>
</li><li>
Interest in AI/ML technology and its infrastructure challenges</li></ul><p><b><br>
Note</b>: Due to our stealth mode status, specific product and technology details will be shared during the interview process with qualified candidates who execute appropriate NDAs.</p><p><br>
Application Requirements</p><p><br>
Please submit:</p><br>
<ul><li>
Detailed resume highlighting relevant DevOps and AI infrastructure experience<br>
</li><li>
GitHub/GitLab profile showcasing infrastructure code and automation projects<br>
</li><li>
Brief cover letter explaining your interest in AI DevOps and startup environments<br>
</li><li>
Any relevant cloud certifications, case studies, or technical blog posts</li></ul><p></p><p><i><br>
We are committed to building a diverse and inclusive team. All qualified applicants will receive equal consideration regardless of race, gender, age, religion, sexual orientation, disability status, or veteran status.</i></p></div></div></div><p></p>

DevOps Engineer - AI/ML Infrastructure

<div><div><p>Job Information</p>
<ul><div><p>Date Opened</p>
<div>27/08/2025
</div></div><div><p>Job Type</p>
<div>Permanent
</div></div><div><p>Work Experience</p>
<div>5+ years
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Salary</p>
<div>10-15 LPA
</div></div><div><p>City</p>
<div>Bangalore North
</div></div><div><p>Province</p>
<div>Karnataka
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Postal Code</p>
<div>560052
</div></div></ul></div><div><p>Job Description</p>
<div><p>Position Overview</p><p><br>
We are seeking a passionate AI Automation Test Engineer to join our innovative UK based stealth startup, in Bengaluru. This role offers an exciting opportunity to shape the testing strategy for cutting-edge AI products while working in a fast-paced, dynamic environment. You'll be instrumental in ensuring the quality and reliability of our AI-driven solutions through comprehensive automated testing frameworks.</p><p><br>
Key Responsibilities<br>
</p><p>
AI/ML Testing<br>
</p><ul><li>
Design and implement automated testing frameworks specifically for AI/ML models and systems<br>
</li><li>
Develop test strategies for model performance, accuracy, bias detection, and robustness<br>
</li><li>
Create automated pipelines for data validation, model training verification, and inference testing<br>
</li><li>
Implement A/B testing frameworks for AI model comparison and evaluation<br>
</li></ul><p>
Test Automation Development<br>
</p><ul><li>
Build and maintain end-to-end test automation suites using modern testing frameworks<br>
</li><li>
Develop API testing automation for microservices and ML model endpoints<br>
</li><li>
Create performance and load testing automation for AI inference systems<br>
</li><li>
Design automated regression testing for continuous integration/deployment pipelines<br>
</li></ul><p>
Quality Assurance<br>
</p><ul><li>
Collaborate with AI/ML engineers to define testing requirements and acceptance criteria<br>
</li><li>
Establish quality gates and metrics for AI model deployment<br>
</li><li>
Conduct exploratory testing of AI features and user experiences<br>
</li><li>
Monitor and analyse test results, providing actionable insights to development teams<br>
</li></ul><p>
Infrastructure &amp; DevOps<br>
</p><ul><li>
Set up and maintain testing environments and test data management systems<br>
</li><li>
Integrate automated tests with CI/CD pipelines using tools like Jenkins, ArgoCD, or GitHub Actions<br>
</li><li>
Implement monitoring and alerting for test execution and system health<br>
</li><li>
Manage test data pipelines and synthetic data generation for AI model testing<br>
</li></ul><p>
Required Qualifications<br>
</p><p>
Technical Skills<br>
</p><ul><li><b>
Programming</b>: Proficiency in Python, with experience in testing frameworks (pytest, unittest, Robot Framework)<br>
</li><li><b>
AI/ML Testing</b>: Understanding of machine learning concepts, model evaluation metrics, and testing methodologies<br>
</li><li><b>
Automation Tools</b>: Hands-on experience with Selenium, Appium, or similar web/mobile automation tools<br>
</li><li><b>
API Testing</b>: Experience with REST/GraphQL API testing using tools like Postman, Newman, or requests library<br>
</li><li><b>
Version Control</b>: Proficient with Git and collaborative development workflows<br>
</li></ul><p>
Experience Requirements<br>
</p><ul><li>
3-6 years of experience in test automation and quality assurance<br>
</li><li>
1-2 years of experience testing AI/ML systems or data-driven applications<br>
</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)<br>
</li><li>
Familiarity with databases (SQL and NoSQL) and data validation techniques<br>
</li></ul><p>
Preferred Qualifications<br>
</p><ul><li>
Experience with MLOps tools and practices (MLflow, Kubeflow, or similar)<br>
</li><li>
Knowledge of performance testing tools (JMeter, Locust, or K6)<br>
</li><li>
Understanding of data science workflows and model lifecycle management<br>
</li><li>
Experience with monitoring tools (Prometheus, Grafana, ELK stack)<br>
</li><li>
Background in statistics or data analysis<br>
</li></ul><p>
What We Offer<br>
</p><p>
Compensation &amp; Benefits<br>
</p><ul><li>
Competitive salary up to &#8377;15,00,000 per annum<br>
</li><li>
Performance-based bonuses and annual increments<br>
</li><li>
Comprehensive health insurance for you and your family<br>
</li></ul><p>
Professional Growth<br>
</p><ul><li>
Opportunity to work with cutting-edge AI technology in stealth mode<br>
</li><li>
Direct impact on product development and company direction<br>
</li><li>
Mentorship from experienced AI and engineering leaders<br>
</li><li>
Learning budget for courses, conferences, and certifications<br>
</li></ul><p>
Work Environment<br>
</p><ul><li>
Modern office space in Bengaluru with all necessary amenities<br>
</li><li>
Collaborative, innovation-driven culture<br>
</li><li>
Regular team events and knowledge-sharing sessions<br>
</li></ul><p>
About the Role</p><p><br>
As an early-stage team member, you'll have the unique opportunity to build testing practices from the ground up, directly influence product quality, and grow with the company. This position is ideal for someone who thrives in ambiguous environments, enjoys solving complex technical challenges, and wants to be part of building something revolutionary in the AI space.</p><p><b><br>
Note</b>: Due to our stealth mode status, specific product details will be shared during the interview process with qualified candidates who sign appropriate confidentiality agreements.</p><p><br>
Application Process</p><p><br>
Interested candidates should submit their resume along with:</p><br>
<ul><li>
Brief cover letter explaining interest in AI testing and startup environments<br>
</li><li>
Any relevant certifications or achievements in testing or AI/ML domains</li></ul><p></p><p><i><br>
We are an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration regardless of race, gender, age, religion, sexual orientation, or disability status.</i></p></div></div></div><p></p>

AI Automation Test Engineer

Join Scrumconnect Consulting and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Scrumconnect Consulting

ABOUT_COMPANY

DevOps Engineer - AI/ML Infrastructure

AI Automation Test Engineer