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Senior DevOps Engineer

Posted November 11, 2025
fulltime_fixed_term mid_level

Job Overview

Location: Remote

Department: Engineering / Infrastructure

Reports to: CTO

About the Role:

We are seeking a highly skilled Senior DevOps Engineer to design, build, and maintain our cloud infrastructure across AWS and Azure. You will take ownership of our Kubernetes-based deployments (EKS & AKS), ensure system reliability, and drive automation and observability across environments.

The ideal candidate is a problem-solver with deep technical knowledge, strong scripting skills, and a passion for building scalable, secure, and efficient systems. You will collaborate closely with engineering, QA, and product teams to improve deployment workflows and support continuous delivery at scale.

Key Responsibilities:

  • Design, deploy, and maintain Kubernetes clusters (EKS, AKS) and cloud-native applications.

  • Implement and manage Vault for secrets management and automated configuration workflows.

  • Develop and maintain CI/CD pipelines using Jenkins, ArgoCD, and GitHub Actions.

  • Implement Infrastructure as Code (IaC) using Terraform or CloudFormation, with policy-as-code enforcement (OPA, Terraform Cloud).

  • Establish and maintain monitoring, logging, and observability stacks (Prometheus, Grafana, Loki, CloudWatch, OpenTelemetry).

  • Set and track SLOs/SLIs, manage error budgets, and drive a culture of reliability (SRE).

  • Manage runtime environments for PHP-FPM, Go, and Python applications.

  • Configure and optimize databases (MySQL, NoSQL) and caching (Redis) for performance and reliability.

  • Maintain search and queueing systems (Elasticsearch, RabbitMQ, Amazon SQS).

  • Ensure security and compliance by applying DevSecOps best practices (IAM, VPC, vulnerability scanning, SOC2/ISO27001 alignment).

  • Respond to production incidents quickly, lead root cause analysis (RCA), and implement preventive measures.

  • Develop and test Disaster Recovery (DR) and business continuity plans.

  • Collaborate across teams to optimize cost, performance, and delivery pipelines.

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