DevOps + QA Engineer | Kubernetes | Terraform | CI/CD | AI/ML QA | ArcLogiq Software's Pvt Ltd

DevOps + QA Engineer

Company: ArcLogiq Softwares Pvt Ltd

Location: Delhi
Experience: 4–6 Years
Salary: Up to ₹10 LPA
Work Timing: IST

About the Role

ArcLogiq Softwares Pvt Ltd is hiring a DevOps + QA Engineer to own reliability, security, scalability, and quality across DigiCatalog’s infrastructure and AI/ML pipelines. This role combines modern DevOps practices with automated QA engineering for AI-powered catalogue and data systems.

You will work on cloud-agnostic infrastructure, Kubernetes orchestration, observability, CI/CD pipelines, compliance automation, and large-scale reliability testing.

What You’ll Do

DevOps & Platform Engineering

• Build and manage cloud-agnostic infrastructure using Terraform (IaC).
• Deploy and orchestrate services using Kubernetes.
• Create and maintain CI/CD pipelines for backend services and ML workflows.
• Implement observability and monitoring using OpenTelemetry.
• Manage secrets, PKI infrastructure, and secure credential systems.
• Improve platform reliability, scalability, and deployment automation.
• Drive software supply-chain security and SBOM compliance practices.

QA & Reliability Engineering

• Build automated regression testing for catalogue and data correctness.
• Develop golden-set evaluation frameworks for AI extraction quality.
• Perform load, stress, and chaos testing at marketplace scale.
• Create compliance test suites for:
  • FSSAI
  • BIS
  • Legal Metrology

* Ensure release quality through automation and reliability engineering practices.

Requirements

• 4–6 years of experience in DevOps / SRE Engineering.
• Strong hands-on expertise with:
  • Terraform
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • Monitoring & observability tools
• Experience with AWS, Azure, or GCP.
• Strong scripting skills in Python, Bash, or similar.
• Knowledge of DevSecOps, secrets management, and infrastructure security.
• Experience with QA automation, performance testing, or reliability engineering.
• Exposure to AI/ML pipeline QA or data-quality workflows is a strong plus.

Nice to Have

• Experience with AI/ML systems and evaluation pipelines.
• Familiarity with chaos engineering.
• Knowledge of compliance-driven testing environments.

* Understanding of SBOM and software supply-chain security.

Why Join Us

• Work on modern AI and scalable infrastructure systems.
• Ownership-driven engineering culture.
• Opportunity to solve high-scale reliability and quality challenges.
• Collaborative and fast-growing team environment.

Hiring Process

• Screening Round 1: Online assessment on Chaideep AI
• Screening Round 2:Technical Interview
• Screening Round 3: Final Discussion Managerial Round