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]

📌 DevOps + QA Engineer (Delhi)
🏢 ZettaMine Labs
📍 Delhi