Senior Platform Engineer responsible for building and modernizing toolchains for engineers at Capital Group. Leading hands-on adoption of AI-assisted software development practices.
Responsibilities
As a senior individual contributor within the Banzai SDLC / DevOps team, you are first and foremost a software developer and technologist who builds, optimizes, and modernizes the toolchains that engineering teams depend on every day.
You will design and deliver enterprise‑grade developer tooling—treating the SDLC as a product and developers as your primary consumers—while operating at the intersection of developer experience, platform engineering, and build automation.
You will help evolve the core SDLC toolchain end‑to‑end: CI/CD pipeline orchestration, code‑quality and static‑analysis, artifact and package management, and the build‑automation frameworks that tie them together.
You approach these systems as a solutions expert—architecting quality gates, artifact promotion strategies, dependency governance, and pipeline patterns that are fast, reliable, and self‑service.
A core responsibility of this role is hands‑on adoption and enterprise enablement of AI‑assisted software development.
You will actively use, evaluate, and push the boundaries of tools such as Claude Code, GitHub Copilot, and similar AI development environments—integrating them into your own daily workflow first—and then harden and operationalize them as first‑class engineering capabilities.
This includes building the enterprise controls, guardrails, and usage patterns required to safely adopt these tools at scale, while demonstrating fundamentally new ways of working that improve productivity, quality, and onboarding efficiency.
You will lead through technical authority, working software, and solution design, partnering across Platform Engineering, Architecture, Security, and application teams to ensure solutions are intuitive, scalable, and aligned with enterprise standards.
Requirements
10+ years of experience in software engineering, platform engineering, or DevOps roles
Developer tooling and SDLC platforms, including shared services, pipelines, and self-service automation
AI-assisted development tools and practices (Claude Code, GitHub Copilot, or similar) — as a daily practitioner, not only an evaluator
Building controls and guardrails into developer platforms rather than relying on manual process or policy
Cloud platforms and container orchestration (AWS preferred; Kubernetes and Docker)
Infrastructure as Code and automation (Terraform or equivalent)
Software development in TypeScript, Python, Java, or Go — you write production code, not just pipeline YAML
API and microservice design in distributed systems
DevOps and DevSecOps practices across the full SDLC
CI/CD pipeline design and orchestration (Harness.io preferred; GitHub Actions, or similar also valued)
Code quality and static analysis platforms (SonarQube, SonarCloud, or equivalent)
Artifact and package management (Sonatype Nexus, Artifactory, or cloud-native registries; dependency governance and promotion strategies)
Build automation and tooling (Gradle, Maven, npm/yarn, MSBuild, or similar; reproducibility, and performance optimization)
Observability concepts including metrics, logs, traces, and open standards such as OpenTelemetry
Technical documentation, including platform standards, architectural designs, and developer-facing guidance
A track record of modernizing and optimizing SDLC toolchains — replacing manual friction with automation, raising quality bars through better tooling, and institutionalizing new ways of working through well-designed solutions.
Benefits
Enjoy generous time-away and health benefits from day one
Opportunity for flexible work options
Receive 2-for-1 matching gifts for charitable contributions
Access on-demand professional development resources
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