Strong Middle DevOps
to $2000
We're looking for a Strong Middle DevOps Engineer to design, build, and maintain cloud infrastructure for microservice-based products used in international markets.
Requirements
- 3+ years in production DevOps / Infrastructure / Platform Engineering roles
- Hands-on experience designing and maintaining infrastructure for microservice-based applications
- Strong working knowledge of at least one major cloud platform (AWS, GCP, or Azure): compute, container orchestration, managed databases, object storage, IAM, networking, serverless, load balancing, secrets management
- Ability to design infrastructure from scratch
- Networking: VPC/VNet design, subnets, security groups, NAT gateways, firewall rules
- Kubernetes โ production experience with managed clusters (EKS, GKE, or AKS): Deployments, Services, Ingress, RBAC, Namespaces, ConfigMaps, Secrets, HPA
- Troubleshooting pods, nodes, networking, and storage in production
- Helm โ creating and maintaining charts for microservice deployments
- Docker & Docker Compose
- Terraform โ designing and maintaining multi-environment infrastructure
- GitHub Actions โ building complete pipelines
- At least one additional CI/CD platform: GitLab CI, BitBucket Pipelines, or Azure DevOps
- ArgoCD / GitOps โ hands-on implementation experience
- Understanding of deployment strategies: blue-green, canary, rolling updates
- Prometheus, Grafana, Loki, AlertManager
- Bash โ confident scripting for automation, deployments, and maintenance
- Python โ automation scripts, deployment tooling, API integrations
- DNS management: Route53, CloudFlare, or GoDaddy
- Load balancers, reverse proxies, TLS/SSL certificate management
- Ability to work as a sole DevOps engineer embedded in a dev team, or lead a small team
- Proactive approach: not just executing tasks, but proposing improvements and optimizations
- Clear incident communication and post-mortem documentation skills
- English โ B2 or higher (working-level communication with international clients)
We expect engineers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.
You should be comfortable using AI for:
- writing and refactoring Terraform modules, Helm charts, and automation scripts;
- debugging infrastructure and pipeline issues;
- log analysis and incident investigation;
- writing tests, policies, and documentation;
- improving delivery speed and infrastructure quality.
Nice to have
- Track record of cloud migrations, zero-downtime deployments, or cost-optimization initiatives
- Experience as a sole DevOps engineer or a small-team lead
- Working-level familiarity with a second cloud โ enough to support migrations or maintain existing environments; experience working across two clouds on the same project
- Terragrunt
- Custom Kubernetes Operators or CRDs
- Service mesh (Istio, Linkerd)
- Multi-cluster management, Karpenter for node autoscaling
- Pipeline optimization: parallelization, caching, ephemeral environments
- Experience improving deployment frequency from weekly to multiple times per day
- CloudWatch, Datadog
- SLO/SLI definition and tracking, incident response frameworks, on-call processes
- Secrets management: AWS Secrets Manager, Azure Key Vault, or HashiCorp Vault
- IAM policies, least-privilege access, VPC hardening
- Security scanning in CI/CD: SonarQube, Trivy, Snyk, or similar
- Supply chain security basics (image signing, SBOM)
- Compliance-driven infrastructure experience (finance, healthcare)
- Production experience administering and migrating PostgreSQL, MySQL, or MongoDB
- Managed DB services: RDS, Cloud SQL, or Atlas; database migration planning
- VPN / site-to-site connectivity
- Certifications: CKA, AWS Solutions Architect Associate/Professional, AWS DevOps Professional, CKAD, Azure Administrator, GCP ACE
What you'll do
- Design and build cloud infrastructure from scratch for microservice-based applications
- Maintain multi-environment infrastructure with Terraform
- Run and troubleshoot production Kubernetes clusters, maintain Helm charts
- Build and optimize CI/CD pipelines, implement GitOps workflows with ArgoCD
- Implement zero-downtime deployment strategies: blue-green, canary, rolling updates
- Own the observability stack โ metrics, logs, dashboards, alerting
- Lead cost-optimization and cloud migration initiatives
- Manage networking, DNS, certificates, and secure access
- Handle incidents, run post-mortems, and improve reliability processes
- Propose improvements rather than waiting for tasks
- Mentor junior engineers and document what you build
- Use AI-assisted tools as part of your daily workflow
What we offer
- Competitive compensation
- Ownership of the infrastructure and real influence on architectural decisions
- Flexible working hours
- Modern cloud-native stack and development workflow
- Opportunity to work on products used in international markets
- Small team with quick decision-making and minimal bureaucracy
Required languages
English
B1 - Intermediate
Published 21 August
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8 applications
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