DevOps Engineer

Styli

Bengaluru

On-site

INR 2,800,000 - 5,000,000

Full time

14 days+

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Job summary

Styli Marketplace seeks a skilled DevOps Engineer to design, build, and operate our cloud infrastructure across AWS and GCP. You will own production Kubernetes clusters, implement IaC with Terraform, and drive automated delivery pipelines with GitHub Actions, GitLab CI, or Jenkins.

You will focus on reliability, security, and cost efficiency while collaborating with product engineering to enable fast, secure shipping of features for Styli’s fashion marketplace.

Qualifications

  • 5–8 years of hands-on DevOps / Platform / Infrastructure Engineering experience.
  • Strong working knowledge of GCP — GKE, Cloud Run, Cloud SQL, Pub/Sub.
  • Expert-level Kubernetes operations: cluster lifecycle management, RBAC, networking.
  • Proficiency in Terraform for multi-cloud IaC — state management & CI/CD integration.
  • Hands-on experience with CI/CD tooling: GitHub Actions, GitLab CI, Jenkins, or equivalent.
  • Strong scripting skills in Python and/or Bash.
  • Solid understanding of Linux systems administration, networking, and distributed systems.
  • Experience designing for high availability and scale.

Responsibilities

  • Design, provision, and maintain production-grade infrastructure across AWS and GCP.
  • Architect multi-region, highly available environments with fault tolerance and cost efficiency.
  • Own IAM strategy, VPC design, security groups, and service mesh configurations.
  • Drive cloud cost optimization through right-sizing, reservations, and tagging governance.
  • Build and operate production Kubernetes clusters on GKE with reliability and security focus.
  • Design workload scheduling strategies including autoscaling (HPA, VPA, KEDA).
  • Implement and maintain Helm charts, Kustomize overlays, and GitOps workflows (ArgoCD/Flux).
  • Enforce cluster security: RBAC, policies, image signing, and secrets management.

Skills

DevOps experience
GCP knowledge
Kubernetes ops
Terraform IaC
CI/CD tooling
Python/Bash
Linux fundamentals
High availability

Tools

GKE
AWS
Terraform
GitHub Actions
GitLab CI
Jenkins
ArgoCD
Istio/Linkerd

Job description

Experience: 5–8 Years

About Styli Marketplace

Launched in 2019 by Landmark Group, Styli Marketplace is the first e-commerce venture of the group, quickly becoming a leading online destination for fashion and lifestyle across the GCC, including Saudi Arabia, the UAE, Kuwait, Bahrain, and beyond. Styli connects global sellers and creators with millions of fashion-forward customers, offering the latest trends, exceptional value, and convenient services like same-day to 48-hour delivery and flexible payment options. Our mission is to make style accessible, aspirational, and exciting for all, backed by a passionate team fostering a culture of creativity and innovation. At Styli, we aim to revolutionize fashion retail and bring unique experiences to our customers.

Role Overview

We are looking for a skilled and ownership-driven DevOps Engineer to join our Engineering team. You will design, build, and operate the cloud infrastructure, container orchestration, and delivery pipelines that power Styli's commerce platform on GCP. This is a hands-on role with high autonomy — you will own critical systems, drive automation, and work closely with product engineering teams to ensure we ship fast and stay reliable.

What You'll Do
  • Design, provision, and maintain production-grade infrastructure across AWS (primary) and GCP, including compute, networking, storage, and managed services.
  • Architect and manage multi-region, highly available environments with a focus on fault tolerance and cost efficiency.
  • Own IAM strategy, VPC design, security groups, service mesh configurations, and cross-cloud networking (VPN / Interconnect / Transit Gateway).
  • Drive cloud cost optimization through right-sizing, reserved instance planning, Spot/preemptible workload strategies, and tagging governance.
  • Manage cloud-native services: EKS, GKE, RDS/Aurora, ElastiCache, Cloud Spanner, Pub/Sub, SQS/SNS, CloudFront, and more.
  • Build and operate production Kubernetes clusters on GKE with a strong focus on reliability, security, and operational efficiency.
  • Design workload scheduling strategies including autoscaling (HPA, VPA, KEDA), node pool management, and pod disruption budgets.
  • Implement and maintain Helm charts, Kustomize overlays, and GitOps-based delivery workflows (ArgoCD / Flux).
  • Enforce cluster security: RBAC, network policies, OPA/Kyverno admission control, image signing, and secrets management (Vault / AWS Secrets Manager / GCP Secret Manager).
  • Manage service mesh (Istio / Linkerd) for traffic management, observability, and mTLS between services.
Scaling & Performance Engineering
  • Design and implement horizontal and vertical scaling strategies to handle traffic spikes — including sale events, campaign launches, and seasonal peaks.
  • Build and tune auto-scaling pipelines across cloud instances, Kubernetes workloads, and managed services to ensure zero downtime under surge conditions.
  • Profile infrastructure bottlenecks in collaboration with backend engineering; drive resolutions across compute, network, and storage layers.
  • Establish and monitor capacity plans with defined headroom SLOs for all critical services.
  • Design and maintain robust, fast CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins — supporting microservices, containerised builds, and multi-environment promotion.
  • Build internal developer platforms and golden paths that enable engineering teams to deploy with confidence and speed.
  • Implement progressive delivery patterns: blue-green deployments, canary releases, and feature flags with automated rollback.
  • Own build optimisation — caching strategies, parallelisation, and pipeline observability to reduce feedback cycle times.
Infrastructure as Code & Automation
  • Author and maintain all infrastructure using Terraform (primary) and Pulumi/CDK where appropriate — with state management, module registries, and policy-as-code.
  • Automate operational tasks and toil elimination using Python, Bash, or Go.
  • Maintain configuration management and environment consistency across dev, staging, and production environments.
What We're Looking For
Required
  • 5–8 years of hands-on DevOps / Platform / Infrastructure Engineering experience.
  • Strong working knowledge of GCP — GKE, Cloud Run, Cloud SQL, Pub/Sub, and GCP networking fundamentals.
  • Expert-level Kubernetes operations: cluster lifecycle management, workload scheduling, autoscaling, RBAC, and networking (CNI, Ingress, Service Mesh).
  • Proficiency in Terraform for multi-cloud IaC — module design, state management, and CI/CD-integrated plan/apply workflows.
  • Hands‑on experience with CI/CD tooling: GitHub Actions, GitLab CI, Jenkins, or equivalent.
  • Strong scripting skills in Python and/or Bash
  • Solid understanding of Linux systems administration, networking (DNS, TLS, TCP/IP, HTTP/2), and distributed systems fundamentals.
  • Experience designing for high availability and scale — load balancing, stateless service design, caching layers, and database connection management.
Good to Have
  • Experience running infrastructure for high-traffic e-commerce events (flash sales, product launches, or festive season scaling).
  • Familiarity with FinOps practices and cloud cost attribution models.
  • Experience with service mesh (Istio or Linkerd) in production.
  • Knowledge of container security hardening: image scanning, runtime protection (Falco), admission controllers.
  • Experience with data platform infrastructure: Kafka, Spark, Airflow, or dbt on cloud.
  • Relevant certifications: AWS Solutions Architect / DevOps Professional, Google Professional Cloud DevOps Engineer, CKA/CKAD.
The Scale You'll Work At
  • Millions of active users across multiple countries in the Middle East such as Saudi Arabia, UAE, Kuwait, Qatar, Bahrain, and Oman.
  • High-concurrency commerce events — flash sales and campaign launches driving 10x–20x baseline traffic.
  • Cloud architecture hosted in GCP (primary) and with a focus on regional proximity to end users.
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