Secure & Scale
A DevSecOps and platform engineering engagement that builds security, compliance, and automation into the foundation — so teams can scale on AWS without turning every release into a risk discussion.
Secure & Scale is about turning security from “the team that says no” into an integrated part of how software ships: policy-as-code, automated checks, and clear guardrails that help engineers move faster with less risk.
Role
DevSecOps Engineer · Platform Architect
Tech Stack
AWS (IAM, KMS, Security Hub, Config), CI/CD pipelines, containers, IaC (Terraform/CloudFormation), policy-as-code, observability stack
Highlights
Security baked into pipelines · Standardized environments · Compliance-ready evidence · Scale without chaos
Overview
As products grow, security and compliance usually show up as late reviews and emergency fixes. In Secure & Scale, I work with teams to redesign that experience: security controls live inside the platform and CI/CD pipeline, not just in a PDF or ticket queue.
The result is a path where new services, environments, and regions can be added quickly — while identity, encryption, logging, and compliance evidence stay consistent by default.
Security foundation & guardrails
The work starts by getting the basics right, then turning them into reusable patterns:
- Identity & access: clean IAM roles, least-privilege policies, SSO integration, and clear separation between workload, platform, and human access.
- Encryption & secrets: default-at-rest encryption, KMS key strategy, and managed secrets (for example, Secrets Manager or parameter store) wired into apps and pipelines.
- Network & boundaries: VPC patterns, private subnets, controlled ingress/egress, and secure paths for admin access and observability tools.
- Guardrails: AWS Config rules, Security Hub, and organization policies that flag or block risky changes instead of silently accepting them.
DevSecOps pipeline design
Security checks belong in the delivery pipeline, right next to tests and quality gates. Typical capabilities include:
- Static & dependency scanning: code, container images, and third-party libraries scanned on every change with clear, actionable reports.
- Infrastructure validation: IaC templates and Kubernetes manifests checked for misconfigurations before they ever reach production.
- Policy-as-code: rules around who can deploy where, which environments require approvals, and what must be true (tests, coverage, scans) before a release can proceed.
- Release visibility: every deployment leaves a trace: who triggered it, what changed, and where to go for logs and metrics.
Compliance & audit readiness
For teams working under frameworks like SOC 2, ISO 27001, HIPAA, or PCI, the same automation that keeps systems safe can also produce audit-ready evidence:
- Change history: Git, CI/CD, and ticketing data stitched together to show who changed what, when, and under which approval.
- Access reviews: patterns and reports that make quarterly / annual reviews routine instead of a scramble.
- Control mapping: explaining how technical controls in AWS and the pipeline map back to high-level policies and compliance requirements.
Impact
After a Secure & Scale engagement, organizations typically:
- Ship changes through pipelines that automatically enforce security and compliance expectations.
- Have clear, reusable patterns for new services and environments, instead of bespoke one-off builds.
- See fewer security surprises in production, and faster, more confident incident response when issues do appear.
- Can talk to auditors and leadership using concrete, repeatable evidence instead of “best effort” explanations.
Most importantly, engineers feel empowered: the platform gives them a paved road that is both safe and fast, so security is no longer the blocker — it’s the enabler for growth.