Sun King

Software Engineer, Infrastructure

Sun King

full-time

Posted on:

Location: 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSCloudDistributed SystemsDNSDockerElasticSearchFirewallsGrafanaKubernetesLinuxMongoDBNGINXPrometheusPythonTCP/IP

About the role

  • Job location: Gurugram (Hybrid).
  • Improve current Infrastructure-as-Code, observability stack, and incident response processes.
  • Work with data science, analytics, and engineering teams to build optimized CI/CD pipelines, scalable AWS infrastructure, and Kubernetes deployments.
  • Work with engineering, automation, and data teams to address various infrastructure requirements.
  • Design modular and efficient GitOps CI/CD pipelines, agnostic to the underlying platform.
  • Manage AWS services for multiple teams.
  • Manage custom data store deployments like sharded MongoDB clusters and Elasticsearch clusters.
  • Deploy and manage Kubernetes resources.
  • Deploy and manage custom metrics exporters, trace data, and custom application metrics; design dashboards and query metrics as an end-to-end observability solution.
  • Set up incident response services and design effective processes.
  • Deploy and manage critical platform services like OPA and Keycloak for IAM.
  • Advocate best practices for high availability and scalability when designing AWS infrastructure, observability dashboards, implementing IAC, deploying to Kubernetes, and designing GitOps CI/CD pipelines.

Requirements

  • Hands-on experience with Docker or any other container runtime environment and Linux with the ability to perform basic administrative tasks.
  • Experience working with web servers (nginx, apache) and cloud providers (preferably AWS).
  • Hands-on scripting and automation experience (Python, Bash), experience debugging and troubleshooting Linux environments and cloud-native deployments.
  • Experience building CI/CD pipelines, with familiarity with monitoring & alerting systems (Grafana, Prometheus, and exporters).
  • Knowledge of web architecture, distributed systems, and single points of failure.
  • Familiarity with cloud-native deployments and concepts like high availability, scalability, and bottleneck.
  • Good networking fundamentals — SSH, DNS, TCP/IP, HTTP, SSL, load balancing, reverse proxies, and firewalls.
  • Experience with backend development and setting up databases and performance tuning using parameter groups.
  • Working experience in Kubernetes cluster administration and Kubernetes deployments.
  • Experience working alongside sec ops engineers.
  • Basic knowledge of Envoy, service mesh (Istio), and SRE concepts like distributed tracing.
  • Setup and usage of open telemetry, central logging, and monitoring systems.
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