Strong Middle DevOps

commonsaltx

Location
Remote
Employment
Full-time
Level
Mid-level
Category
DevOps & SRE
Posted

Description

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 — 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 — creating and maintaining charts for microservice deployments

Docker & Docker Compose

Terraform — designing and maintaining multi-environment infrastructure

GitHub Actions — building complete pipelines

At least one additional CI/CD platform: GitLab CI, BitBucket Pipelines, or Azure DevOps

ArgoCD / GitOps — hands-on implementation experience

Understanding of deployment strategies: blue-green, canary, rolling updates

Prometheus, Grafana, Loki, AlertManager

Bash — confident scripting for automation, deployments, and maintenance

Python — 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 — 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 — 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 — 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

Apply at the source

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