DevSecOps Engineering
Secure CI/CD pipelines, containerised workloads, and cloud-native observability — security built in from the first commit.
Security that ships with every deploy
Most security testing happens too late. Code is written, reviewed, merged, deployed — and then someone runs a scanner and finds a critical vulnerability that blocks the release. DevSecOps shifts those checks left without slowing down development. Cynteri integrates security gates directly into your CI/CD pipelines so that every commit is scanned for secrets, dependencies are checked against known vulnerabilities, containers are inspected before they reach a registry, and infrastructure code is validated against compliance policies before it touches production. AI-assisted code review layers on top of static analysis, catching logic-level flaws and business-rule violations that pattern-based scanners are not designed to find.
What a secure pipeline looks like
We design and implement automation from the commit hook through to production deployment. Each stage enforces specific controls: static analysis catches code-level issues, dependency scanning flags libraries with known CVEs, container scanning validates base images and runtime layers, and IaC scanning ensures infrastructure definitions meet security standards. Observability is built in from the start with monitoring stacks that provide visibility into application performance, infrastructure health, and security events through unified dashboards.
- CI/CD pipeline design and automation from commit to production deployment
- SAST, DAST, dependency scanning, and secret detection in every pipeline gate
- Container image scanning, registry hardening, and runtime security monitoring
- Kubernetes security with RBAC, admission controllers, pod policies, and service mesh
- Infrastructure-as-Code scanning for Terraform, CloudFormation, and K8s manifests
- Monitoring and observability stack deployment — Prometheus, Grafana, Loki, ELK, or Splunk
- AI-assisted pipeline failure analysis with suggested remediation
- Application feature development
- Machine learning pipeline engineering
Tell us what needs protection.
Thirty minutes. No slide deck.
You will talk to a senior engineer on the team that would actually defend your stack — not a sales development rep.
- No NDA required for the first call
- We will send a written summary within 24h
- If we are not a fit, we will tell you who is