DevOps Engineer
Job summary
We are seeking a mid-level DevOps Engineer to join us.
Job descriptions & requirements
Responsibilities:
Infrastructure & Cloud Operations:
- Manage and maintain cloud infrastructure across environments (development, staging, production)
- Configure and optimize servers, networking, storage, DNS, SSL, and load balancing
- Improve system reliability, uptime, scalability, and fault tolerance
- Monitor infrastructure health and proactively resolve issues before outages occur CI/CD & Deployment Automation
- Design and maintain CI/CD pipelines for mobile, backend, and frontend deployments
- Reduce deployment failures and deployment time
- Automate repetitive engineering and infrastructure workflows
- Improve rollback and release management processes
Monitoring, Logging & Incident Response:
- Implement centralized logging, monitoring, and alerting systems
- Improve visibility into crashes, regressions, API failures, and infrastructure bottlenecks
- Support root-cause analysis and postmortem processes
- Help establish operational best practices and reliability standards
Security & Reliability:
- Implement infrastructure security best practices
- Manage secrets, credentials, access controls, backups, and recovery processes
- Assist with hardening production systems and environments
- Identify infrastructure risks and reliability gaps
Engineering Enablement:
- Collaborate with software engineers to improve deployment quality
- Help standardize environments and reduce “works on my machine” issues
- Support software stabilization and release-readiness initiatives
- Improve developer productivity through tooling and automation
Requirements:
- Minimum 3 years of DevOps, Cloud Engineering, or Infrastructure experience
- Strong experience with Linux server administration
- Experience with AWS or GCP
- Experience designing CI/CD pipelines
- Experience with Docker and containerized environments
- Familiarity with reverse proxies, networking, DNS, SSL, and web servers
- Strong scripting skills (Bash, Python, or similar)
- Experience with monitoring/logging tools
- Strong debugging and problem-solving ability
- Comfortable working in fast-paced startup environments
- Highly organized and process-oriented
- Strong ownership mentality
- Proactive problem solver
- Calm under pressure during production incidents
- Able to balance speed with stability
- Strong systems thinking mindset
- Comfortable working across multiple products simultaneously
Preferred Qualifications:
- Experience supporting mobile app release pipelines
- Experience with Kubernetes or orchestration tools
- Experience with Firebase, Supabase, or serverless architectures
- Familiarity with infrastructure-as-code tools
- Experience handling scaling or production reliability challenges
- Exposure to security hardening and compliance best practices
- Experience supporting AI/ML infrastructure or data pipelines is a plus
Success Metrics:
- Reduced production incidents and regressions
- Improved deployment reliability and release velocity
- Faster issue detection and resolution times
- Improved uptime and system performance
- Improved infrastructure security and observability
- Reduced manual operational workload for engineering teams
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