DevOps Engineer

About Kapiva

Kapiva (Series-C funded) is on a journey of transformation — from being one of India's leading modern Ayurvedic nutrition brands to becoming a health-tech company that leverages technology to drive better health outcomes for millions of people across India and internationally.We believe the next wave of innovation in health will be driven by AI-first solutions — from personalized recommendations and intelligent coaching, to automated platforms that scale care and wellness delivery. At Kapiva, you'll be part of building this future.

Role Summary

We are looking for a
DevOps Engineer (Level 3)
to lead the design, automation, and optimization of Kapiva's infrastructure supporting our
Ecommerce and Health Tech platforms
. This is a senior, hands-on role that blends
deep technical expertise in cloud infrastructure, CI/CD, observability, and DevSecOps
with
strategic ownership of cost, performance, and reliability
.You will also lead the adoption of
AI-driven automation and monitoring
, helping improve developer productivity and system efficiency across multiple environments.

Key Responsibilities

• Design, implement, and manage
  scalable, secure, and reliable infrastructure
  across AWS and GCP.
• Architect and maintain
  CI/CD pipelines
  for multi-service, multi-environment deployments.
• Implement and maintain
  infrastructure as code (Terraform, Helm, Ansible)
  for consistent and automated provisioning.
• Lead
  observability, monitoring, and incident response
  initiatives using Prometheus, Grafana, ELK, or Datadog.
• Own
  infrastructure cost optimization
  , identifying waste, optimizing compute/storage usage, and implementing right-sizing strategies to ensure efficient resource utilization.
• Collaborate with engineering teams to
  design cost-aware and scalable architectures
  .
• Champion
  DevSecOps practices
  , embedding security, compliance (like PCI-DSS, HIPAA), and governance into pipelines.
• Drive
  performance optimization
  across build, deploy, and runtime workflows.
• Automate operational workflows and log analysis using
  Python/Bash scripts or AI-based tooling
  .
• Evaluate and integrate
  AI-powered DevOps solutions
  (e.g., AI log analysis, anomaly detection, predictive scaling).
• Define and maintain
  SRE best practices
  — SLIs, SLOs, and error budgets.
• Mentor junior DevOps engineers and conduct design, code, and post-incident reviews.

Required Skills and Qualifications

• 4–6 years of experience in
  DevOps, SRE, or Infrastructure Engineering
  roles.
• Hands-on expertise with
  GCP and/or AWS cloud infrastructure
  .
• Deep understanding of
  Kubernetes, Docker, and container orchestration
  .
• Proficiency in
  CI/CD tools
  (GitHub Actions, Jenkins, GitLab CI, ArgoCD).
• Strong command over
  infrastructure as code
  (Terraform, Helm, Ansible).
• Experience with
  monitoring and logging frameworks
  (Prometheus, Grafana, ELK, Datadog).
• Practical experience in
  infrastructure performance tuning and cost optimization
  .
• Understanding of
  networking concepts
  (VPC, load balancing, DNS, firewalls).
• Scripting proficiency in
  Python, Bash, or Go
  .
• Strong troubleshooting and problem-solving skills.

Bonus Points

• Experience in
  Ecommerce or Health Tech platforms
  with high reliability requirements.
• Exposure to
  security practices
  (IAM, secrets management, vulnerability scanning).
• Knowledge of
  cost optimization strategies
  on AWS/GCP.
• Familiarity with
  incident management and on-call practices
  .

What We Offer

• Ownership of
  infrastructure scalability, reliability, and cost efficiency
  across all product lines.
• Opportunity to lead
  AI-driven automation and monitoring initiatives
  .
• Collaborative culture focused on
  engineering excellence, optimization, and continuous learning
  .
• Competitive compensation and clear growth path to
  DevOps Architect or Platform Engineering Lead
  .
• Work on
  distributed systems
  powering real-world Ecommerce and Health Tech applications.