[LOX660G6] DevOps + QA Engineer

Greetings from ZettaMine Labs!

DevOps / SRE & Quality Engineering Engineer

Experience: 5+ Years

Location: Delhi

Employment Type: Full-Time

About ZettaMine Labs

ZettaMine Labs is building DigiCatalog, a next-generation digital product catalog and product identity platform designed to support national-scale marketplaces, AI-powered product onboarding, verifiable credentials, and regulatory compliance frameworks. We are looking for a highly motivated DevOps, SRE, and Quality Engineering professional to ensure platform reliability, security, scalability, and AI system quality.

About the Role

As a DevOps / SRE & Quality Engineering Engineer, you will own the reliability, security, observability, and quality engineering functions across DigiCatalog's infrastructure, microservices, and AI/ML pipelines. You will be responsible for cloud-agnostic infrastructure automation, Kubernetes operations, CI/CD pipelines, platform security, AI validation frameworks, and large-scale performance testing.

The ideal candidate combines expertise in Site Reliability Engineering with automation, testing, and modern cloud-native practices.

Key Responsibilities

Infrastructure & Platform Engineering

• Design, implement, and manage cloud-agnostic infrastructure using Terraform and Infrastructure-as-Code (IaC) practices.
• Build and operate highly available Kubernetes environments for application and AI workloads.
• Develop and maintain CI/CD pipelines for microservices, APIs, and machine learning pipelines.
• Automate deployment, rollback, and release management processes.
• Support platform scalability and resilience for national-scale marketplace operations.

Observability & Reliability

• Implement comprehensive observability using OpenTelemetry, metrics, tracing, logging, and alerting frameworks.
• Build dashboards and proactive monitoring solutions to improve operational visibility.
• Lead incident response, root cause analysis, and reliability improvements.
• Define and track SLOs, SLIs, and platform availability metrics.

Security & Compliance

• Manage PKI infrastructure and secrets management for digital identity and verifiable credential ecosystems.
• Implement Software Bill of Materials (SBOM) generation and supply-chain security controls.
• Conduct vulnerability assessment, dependency tracking, and remediation.
• Support compliance validation for:
• FSSAI
• BIS
• Legal Metrology
• Product Certification Standards

Quality Engineering & AI Validation

• Build automated regression testing frameworks for product catalog correctness and data integrity.
• Develop golden-set evaluation harnesses to measure AI extraction quality and model performance.
• Implement automated API, integration, and end-to-end testing strategies.
• Design and execute performance, load, stress, and chaos testing at marketplace scale.
• Create compliance validation test suites for regulated product attributes and certification data.
• Collaborate with engineering and AI teams to improve data quality and model reliability.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in:
• Site Reliability Engineering (SRE)
• DevOps Engineering
• Infrastructure Engineering
• Strong hands-on experience with:
• Terraform
• Kubernetes
• Docker
• Infrastructure as Code (IaC)
• Experience with modern CI/CD platforms such as:
• GitHub Actions
• GitLab CI
• Jenkins
• Experience implementing observability solutions using:
• OpenTelemetry
• Prometheus
• Grafana
• ELK/OpenSearch
• Strong understanding of cloud security, PKI, secrets management, and software supply-chain security.
• Proficiency in Python and/or Bash scripting.

Preferred Qualifications

• Experience in QA for AI/ML systems, model evaluation, or data quality engineering.
• Hands-on experience with AI model validation and golden dataset testing.
• Experience with chaos engineering and large-scale performance testing.
• Knowledge of SBOM frameworks and software supply-chain security practices.
• Familiarity with Verifiable Credentials (VC) and Decentralized Identity (DID) ecosystems.
• Experience supporting cloud-agnostic or hybrid-cloud architectures.

Technical Skills

Infrastructure & Automation

• Terraform
• Kubernetes
• Docker
• GitOps
• Helm

CI/CD

• Jenkins
• GitHub Actions
• GitLab CI/CD

Observability

• OpenTelemetry
• Prometheus
• Grafana
• ELK Stack
• OpenSearch

Testing & Quality Engineering

• Regression Testing
• Performance Testing
• Load Testing
• Chaos Engineering
• API Testing
• Data Quality Validation
• AI Model Evaluation

Security

• PKI
• Secrets Management
• SBOM
• Vulnerability Management
• Supply Chain Security

Apply Now

📧 [email protected]