Hire DevOps Engineers — CI/CD, Cloud & Infrastructure

Our DevOps team has deep experience with AWS (our primary platform), GCP, and Azure. On AWS, we work extensively with EKS, RDS, S3, CloudFront, Lambda, and the broader managed services ecosystem. We help you choose the right cloud platform based on your team's existing skills, compliance requirements, and cost targets.

We design pipelines with clear stages — build, test, security scan, and deploy — using branch-based deployment strategies (feature branches to staging, main to production). We implement blue-green or canary deployments for zero-downtime releases and add automated rollback triggers based on health checks.

Yes. Our engineers manage Kubernetes clusters including provisioning, node group scaling, namespace organization, network policies, RBAC, persistent storage, and upgrade planning. We also write Helm charts for your applications and implement GitOps workflows with Argo CD or Flux.

We use dedicated secrets management tools — AWS Secrets Manager, HashiCorp Vault, or GCP Secret Manager depending on your environment. Secrets never live in environment files, application configs, or Git repositories. Rotation policies and audit logging are configured from the start.

We configure application metrics with Datadog or Prometheus, set SLO-based alerting thresholds (not just CPU/memory), implement distributed tracing with OpenTelemetry, aggregate logs in a searchable store, and create on-call runbooks for every critical alert. Your team should know what to do before the 3am page.

Yes — cost optimization is a common early deliverable. We audit resource utilization with AWS Cost Explorer and CloudWatch, identify over-provisioned instances, implement auto-scaling, migrate workloads to spot instances where appropriate, and set up budget alerts. Typical engagements reduce cloud spend by 20–40% without performance impact.

We start with a security audit — open ports, IAM overpermissioning, unencrypted storage, and missing logging. We then apply least-privilege IAM policies, enable CloudTrail and Config, implement container image scanning in CI, and configure network security groups. For SOC 2 or HIPAA requirements, we map controls to infrastructure configuration explicitly.

Yes. All Kultrix DevOps work is codified in Terraform or Pulumi — no ClickOps. We write modular, reviewable infrastructure code stored in version control, with remote state, environment separation, and CI-based plan and apply workflows. Your infrastructure becomes an auditable codebase rather than a collection of manual changes.

A solid CI/CD pipeline with automated testing, container builds, and staging/production deployments typically takes two to three weeks to design, implement, and validate. Adding Kubernetes, monitoring, and full observability extends that to four to six weeks. We deliver incrementally so you see working deployments quickly.

Yes. Brownfield DevOps work is common — we audit your existing setup, identify the highest risks (no backups, manual deployments, missing monitoring), and address them in priority order. We document everything we change so your team understands and can maintain the infrastructure after the engagement.

Docker is our container standard — we write multi-stage Dockerfiles optimized for image size and build caching. For orchestration we use Kubernetes with Helm. For simpler workloads, ECS Fargate or Railway eliminates cluster management overhead. We choose the right tool for your team's operational complexity.

You own all Terraform, Helm charts, pipeline configurations, and documentation entirely. We sign an IP assignment agreement before work begins, commit to your repositories, and provide full handoff documentation. Kultrix engineers often stay on retainer for ongoing support, but there is no lock-in.