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Mission
This role is responsible for designing, building, and evolving highly automated CI/CD pipelines and secure software delivery platforms that enable teams to ship frequently, safely, and at scale.
You will operate as a hands‑on technical leader, shaping DevSecOps strategy through code, automation, and architecture, while influencing standards and practices across multiple engineering teams. The core mission is to make secure, compliant, and reliable software delivery the default — not the exception.
Key Responsibilities
CI/CD & Delivery Platform Engineering
- Design and build highly automated, scalable CI/CD pipelines for:
- Microservices, APIs, and platform services
- Infrastructure-as-Code
- AI/ML and Agentic AI workloads
- Establish pipeline blueprints that are:
- Secure by default
- Reusable and self‑service
- Cloud‑agnostic where appropriate
- Enable progressive delivery strategies:
- Blue‑green and canary deployments
- Feature flags and controlled rollouts
DevSecOps & Supply Chain Security
- Embed security controls directly into pipelines, including:
- SAST, DAST, and SCA
- Container and image scanning
- IaC security and policy checks
- SBOM generation and verification
- Design and enforce secure software supply chain practices:
- Provenance and artifact signing
- Dependency governance
- Secrets management and rotation
- Partner with Security teams to translate policies into automated, enforceable controls.
Cloud, Infrastructure & Automation
- Engineer platform automation using:
- Kubernetes and container platforms
- Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.)
- GitOps patterns for infrastructure and application delivery
- Build secure, repeatable environment provisioning for:
- Dev, test, staging, and production
- Multi‑tenant and regulated workloads
- Optimize pipelines and infrastructure for cost, speed, and reliability.
Observability, Reliability & Resilience
- Integrate observability into delivery pipelines:
- Metrics, logs, and traces (e.g., OpenTelemetry)
- Deployment health and rollback signals
- Define and support SRE‑aligned practices:
- Error budgets
- Deployment reliability metrics
- Enable fast detection and recovery from pipeline or production failure.
Technical Leadership & Influence
- Act as a principal‑level technical advisor across engineering teams.
- Set standards and reference implementations for:
- CI/CD
- Secure delivery
- Platform automation
- Review designs and code for high‑risk or high‑impact areas.
- Mentor senior engineers in DevSecOps and platform engineering practices.
- Drive adoption of best practices through enablement, not mandates.
Required Experience & Skill
DevSecOps & Platform Engineering
- 12+ years of software engineering experience, with deep focus on DevSecOps, CI/CD, and platform automation.
- Proven track record of building and operating enterprise‑scale automated delivery platforms.
- Strong understanding of software supply chain security.
CI/CD Tooling & Automation
- Extensive hands‑on experience with:
- CI/CD systems (e.g., GitHub Actions, GitLab CI, Azure DevOps, Jenkins)
- Artifact repositories and registries
- Pipeline‑as‑code and reusable templates
- Experience designing self‑service developer platforms.
Cloud & Infrastructure
- Strong experience with one or more cloud platforms (AWS, Azure, GCP).
- Deep knowledge of:
- Kubernetes and container orchestration
- Infrastructure‑as‑Code
- Networking, identity, and secrets management
- Understanding of cloud‑agnostic delivery patterns.
Security & Compliance
- Hands‑on experience implementing:
- SAST, DAST, SCA
- Container and IaC security scanning
- Policy‑as‑code (OPA, similar)
- Familiarity with compliance frameworks (SOC 2, ISO 27001, PCI, etc.).
- Experience translating security requirements into automated controls.
Engineering Mindset
- Strong coding skills in one or more languages (e.g., Python, Go, Java, Shell).
- Comfortable debugging complex pipeline and infrastructure issues.
- Pragmatic, outcome‑driven approach to security and automation.
- Strong written and verbal communication skills.
Nice to Have
- Experience supporting AI/ML or Agentic AI pipelines.
- Familiarity with GitOps tooling (Argo CD, Flux).
- Exposure to regulated or highly audited environments.
- Experience contributing to internal developer platforms or golden paths.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.
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