Senior DevOps Engineer
Indexed description
Location: Remote — Candidates must be based in Lagos or Abuja, Nigeria
Employment Type: Full-time
Experience: 4+ years
BlueOcean Tech Services is hiring an experienced Senior DevOps Engineer to support fast-moving technology and AI products for international clients.
We are looking for someone who is genuinely hands-on with cloud infrastructure, CI/CD, deployments, monitoring, security and production reliability. You should be comfortable working closely with engineering teams, troubleshooting production issues and building infrastructure that allows teams to ship quickly without compromising stability or security.
- Design, configure and maintain cloud infrastructure for client products.
- Build and manage CI/CD pipelines for frontend, backend, mobile and AI services.
- Manage deployments, rollbacks, environments and release processes.
- Work with AWS, Azure, GCP, DigitalOcean or similar cloud platforms.
- Configure and maintain Docker, Kubernetes, serverless services, databases, networking, storage and secrets.
- Implement monitoring, alerting, logging, backups and incident-response processes.
- Improve infrastructure reliability, security, performance and cost efficiency.
- Troubleshoot infrastructure and production issues alongside engineering teams.
- Create and maintain infrastructure documentation, runbooks and deployment procedures.
- 4+ years of professional DevOps, cloud infrastructure or SRE experience.
- Strong Linux, networking, Docker and CI/CD knowledge.
- Hands-on experience with AWS, Azure and/or GCP.
- Experience with GitHub Actions, GitLab CI, Jenkins, CircleCI or similar.
- Experience with infrastructure-as-code tools such as Terraform, Pulumi, CloudFormation or Ansible.
- Experience with monitoring/logging tools such as Datadog, Grafana, Prometheus, CloudWatch, Sentry or ELK.
- Good understanding of security, access controls, secrets management, backups, availability and incident response.
- Strong production troubleshooting skills.
- Excellent written and spoken English.
- Experience supporting AI/ML workloads, GPUs, vector databases, LLM applications or high-scale SaaS products is an advantage.
- Take ownership and communicate proactively.
- Stay calm and structured during production incidents.
- Can build clean, repeatable and secure infrastructure.
- Understand how to improve developer velocity without introducing unnecessary operational risk.
- Work effectively with international and US-based teams.
- Are comfortable working in a fast-paced startup environment and overlapping with US working hours when required.
- Have reliable internet, power backup and a suitable remote-work setup.
- Are willing to complete practical assessments as part of the hiring process.
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