AI SDLC Engineer (Senior / Principal)

What does success look like in this role?

• Design and build self-service developer platforms that enable secure, policy-driven software delivery across enterprise environments.
• Develop automated delivery pipelines that integrate version control, CI/CD, Infrastructure as Code, identity, secrets management, artifact repositories, and observability.
• Design secure operating models for AI coding agents, including controlled access to repositories, tools, execution environments, permissions, context, approvals, and audit trails.
• Strengthen the software supply chain through automated security practices including SAST, SCA, secrets detection, SBOM generation, artifact signing, provenance, dependency governance, and controlled promotion.
• Automate governance requirements such as separation of duties, approvals, traceability, retention, evidence collection, and compliance reporting without slowing delivery.
• Build risk-based deployment strategies including progressive delivery, release approvals, rollback capabilities, and automated release evidence for both deterministic and AI-assisted development workflows.
• Create reusable platform templates, paved roads, documentation, and engineering standards that make secure software delivery the easiest path for development teams.
• Lead architecture discussions, mentor engineers, and contribute reusable platform capabilities that strengthen both client delivery and RAVL's engineering practice.
• Collaborate with engineering, security, risk, audit, and operations teams to balance delivery velocity with enterprise governance requirements.

• Sounds great, do my skills fit?
• We're looking for engineers who combine deep platform engineering expertise with modern DevSecOps practices and a passion for improving the software development lifecycle.

Required

• Strong experience building and operating modern DevSecOps platforms including CI/CD pipelines, Infrastructure as Code, identity and access management, secrets management, secure execution environments, and observability platforms.
• Practical experience implementing software supply chain security, including SAST, SCA, secrets scanning, SBOM generation, artifact signing, provenance, dependency governance, and secure artifact promotion.
• Experience implementing policy-as-code and designing secure authorization models for automated development workflows and AI-assisted engineering tools.
• Strong understanding of enterprise change management, release management, auditability, and traceability across the full software delivery lifecycle.
• Experience building reliable engineering platforms that emphasize automation, developer experience, operational resilience, and governance.
• Strong understanding of cloud-native architecture, container platforms, and modern infrastructure automation.
• Experience collaborating with engineering, security, compliance, and risk stakeholders to implement practical governance in regulated environments.
• For Senior and Principal candidates, demonstrated experience leading platform architecture, mentoring engineers, influencing engineering strategy, and driving adoption across multiple delivery teams.

Nice to Have

• Experience working within banking, insurance, wealth management, or other highly regulated industries.
• Experience with GitHub Enterprise, GitLab, Azure DevOps, Backstage, Harness, Argo CD, Tekton, or similar enterprise developer platforms.
• Experience with HashiCorp Vault, Open Policy Agent (OPA), Conftest, SonarQube, Snyk, Checkmarx, Veracode, JFrog Artifactory, or equivalent security tooling.
• Experience implementing SBOM generation, Sigstore/cosign signing, OpenTelemetry, or enterprise observability platforms.
• Experience supporting AI-assisted software development or enterprise coding agent platforms.
• Cloud, security, or DevSecOps certifications.

Mindset Traits

• You enjoy solving complex platform and governance challenges through thoughtful automation.
• You balance engineering velocity with operational discipline and regulatory requirements.
• You communicate effectively across engineering, security, operations, and executive stakeholders.
• You think in systems and build solutions that scale beyond a single project.
• You enjoy mentoring others and creating reusable capabilities that elevate entire engineering organizations.
• You're curious about the future of AI-enabled software development and excited to shape how modern engineering teams work.

Why join RAVL?

• Work alongside experienced consultants solving meaningful, enterprise-scale challenges.
• Help define how AI transforms software engineering and platform delivery within highly regulated industries.
• Flexible, client-aligned hybrid work model—autonomy with accountability, adapting to client delivery needs.
• Variable bonus & RRSP contributions tied to performance and delivery impact.
• 4 weeks paid time off (plus public holidays).
• Paid professional development days and continuous learning opportunities.
• Comprehensive health & dental coverage, including mental health support.
• Commitment to lifelong learning through mentorship, certifications, and continuous improvement.