DevOps Engineer
Job Description
We are seeking a mid-level DevOps Engineer to join us.
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