Job Summary

BOL7 Technologies is looking for an experienced and hands-on DevOps Engineer to manage, monitor, secure and improve the production infrastructure of our SaaS application. Our platform includes a React frontend, Python Django backend, APIs, databases, background workers, third-party integrations and Kubernetes-based production deployments. The selected candidate will be responsible for Kubernetes cluster management, Docker containers, Linux servers, application deployments, CI/CD pipelines, monitoring, security, backups, scaling and production troubleshooting. This is a practical, production-focused position. The candidate should have experience managing real infrastructure and should be capable of independently resolving deployment, server, networking and application availability issues.

Responsibilities

Kubernetes and Container Management

• Manage and maintain the existing production Kubernetes environment.

• Deploy frontend, backend, APIs, workers and supporting application services.
• Manage Deployments, Services, ConfigMaps, Secrets, Ingress, Jobs and CronJobs.
• Monitor Pods, Nodes, namespaces, cluster resources and workload health.
• Troubleshoot Pod crashes, failed deployments, networking issues and image-pull errors.
• Configure resource requests, limits, autoscaling, readiness and liveness probes.
• Perform rolling deployments, rollbacks and controlled production updates.
• Maintain Kubernetes manifests and Helm charts.
• Create, maintain and optimise Dockerfiles for Django, React and worker services.
• Manage Docker image builds, versioning, registries and vulnerability scanning.

Django and React Deployment

• Deploy and maintain Python Django applications in production.

• Configure Gunicorn, Uvicorn, ASGI, WSGI and related application services.
• Manage environment variables, static files, media files, dependencies and database migrations.
• Support Celery, Redis, RabbitMQ and scheduled background services.
• Build and deploy React applications through Docker and Kubernetes.
• Configure Nginx, frontend routing, caching, compression and environment-specific builds.
• Troubleshoot CORS, API connectivity, build failures and configuration issues.

CI/CD and Automation

• Design, maintain and improve CI/CD pipelines.

• Automate code builds, testing, Docker image creation, security scanning and deployments.
• Work with GitHub Actions, GitLab CI/CD, Jenkins, Bitbucket Pipelines or similar tools.
• Maintain separate workflows for development, staging and production environments.
• Implement deployment approvals, rollback processes and release logs.
• Automate operational tasks using Bash, Python, Terraform, Ansible or similar tools.
• Maintain infrastructure configurations and deployment templates in version control.

Cloud and Server Administration

• Manage Linux-based cloud, virtual and dedicated servers.

• Configure users, SSH access, permissions, packages, services and system resources.
• Apply operating-system patches and security updates.
• Configure firewalls, DNS records, ports, load balancers and network rules.
• Manage infrastructure on AWS, Google Cloud, Azure, DigitalOcean, Hetzner or similar platforms.
• Monitor CPU, memory, disk, network and application utilisation.
• Troubleshoot server-level, network-level and application-level problems.

Monitoring, Security and Backups

• Implement monitoring and logging for clusters, servers, APIs, applications and databases.

• Use tools such as Prometheus, Grafana, Loki, ELK Stack, OpenSearch, Datadog or New Relic.
• Configure alerts for downtime, Pod failures, high resource usage, storage limitations and certificate expiry.
• Maintain automated database, configuration and application backups.
• Test restoration procedures and maintain disaster-recovery documentation.
• Manage credentials, API keys, passwords, certificates and access tokens securely.
• Implement Kubernetes RBAC, SSH key-based access and restricted production permissions.
• Scan containers and dependencies for security vulnerabilities.
• Respond to production incidents and implement preventive corrective actions.

Required Technical Skills

Candidates should have practical experience with most of the following:

• Kubernetes
• Docker and Docker Compose
• Linux server administration
• Python and Django deployment
• React build and deployment
• Nginx or similar reverse-proxy servers
• CI/CD pipelines
• Git and source-control workflows
• Cloud or dedicated-server management
• DNS and SSL/TLS configuration
• Kubernetes Ingress and load balancing
• Bash or Python scripting
• Monitoring, logging and alerting
• Database backups and recovery
• Secrets and access management
• Networking fundamentals
• Production troubleshooting

Kubernetes Knowledge Required

The candidate should understand:

• Pods, Deployments and StatefulSets
• Services and Namespaces
• ConfigMaps and Secrets
• Ingress Controllers
• Jobs and CronJobs
• Persistent Volumes and Persistent Volume Claims
• Resource requests and limits
• Readiness and liveness probes
• Horizontal Pod Autoscaling
• Role-Based Access Control
• Rolling deployments and rollbacks
• Helm
• Cluster monitoring and workload troubleshooting

Preferred Tools and Technologies

Experience with the following will be preferred:

Container and Orchestration

• Docker
• Kubernetes
• Helm
• Argo CD
• Rancher
• OpenShift

CI/CD and Source Control

• GitHub Actions
• GitLab CI/CD
• Jenkins
• Bitbucket Pipelines
• Azure DevOps
• Flux CD

Cloud Platforms

• AWS
• Google Cloud Platform
• Microsoft Azure
• DigitalOcean
• Hetzner
• Oracle Cloud

Monitoring and Logging

• Prometheus
• Grafana
• Loki
• ELK Stack
• OpenSearch
• Sentry
• Datadog
• New Relic

Infrastructure Automation

• Terraform
• Ansible
• Pulumi
• Bash scripting
• Python scripting

Databases and Supporting

• Services
• PostgreSQL
• MySQL
• MongoDB
• Redis
• RabbitMQ
• Celery
• Elasticsearch or OpenSearch

Knowledge of every listed tool is not mandatory. Strong hands-on knowledge of Kubernetes, Docker, Linux, CI/CD, monitoring and production troubleshooting is essential.

Required Experience

• Minimum 2 years of professional DevOps experience.
• Practical experience managing a production Kubernetes environment.
• Experience deploying containerised web applications.
• Experience deploying Python Django backend applications.
• Experience building and deploying React frontend applications.
• Experience creating or maintaining CI/CD pipelines.
• Experience managing Linux servers and cloud infrastructure.
• Experience handling production incidents and service outages.
• Experience with monitoring, alerting, backups and disaster recovery.
• Experience working on a live SaaS, enterprise, e-commerce or high-traffic web application.

Preferred Experience

• Experience managing multi-service or microservices-based SaaS applications.
• Experience with GitOps and infrastructure as code.
• Experience with Kubernetes upgrades and migrations.
• Experience managing persistent storage and production databases.
• Experience with WebSockets, task queues, workers and scheduled jobs.
• Experience with zero-downtime deployments.
• Experience with security scanning and compliance requirements.
• Experience improving application uptime and infrastructure costs.
• Experience supporting high-availability or multi-region infrastructure.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Engineering or a related discipline will be preferred.
• Candidates with strong practical DevOps experience may be considered without a specialised degree.
• Kubernetes, AWS, Azure, Google Cloud, Docker or Linux certifications will be an advantage.
• Certifications cannot replace practical production experience.