Aledade2mo ago

Senior Software Engineer II - CI Pipeline Engineer

United StatesRemoteFull Timesenior

OtherSoftware EngineerEngineerSoftware Engineering

5 views0 saves0 applied

Apply Now

Quick Summary

Overview

Technical Tools

awsdockergithub-actionsgokubernetespulumipythonterraformagileci-cd

As a Senior II Engineer on the CI Pipeline team, you will serve as a primary architect of our CI/CD vision, helping to ensure that as Aledade scales, our delivery speed and compliance posture accelerate together. You will initially lead the evolution of a "Universal Pipeline" – the initiative to make the "Right Way" the "Easy Way" by building automation and guardrails to ensure every deployment is HIPAA-compliant by default.

Beyond the initial pipeline framework, you will be involved in the long-term strategy for our internal developer experience, moving into the test tooling infrastructure (interwoven into the CI pipeline), self-service tooling, and ephemeral environments to leverage those technologies. Your goal is to foster a high-velocity engineering culture where security, compliance, and audit evidence are seamless side-effects of a delivery lifecycle, not manual tasks.

Develop and implement scalable and performant solutions.

Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.

Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.

BS/BTech (or higher) in Computer Science, Engineering or a related field.

6+ years experience as an engineer building and managing highly automated CI/CD infrastructure and developer tooling as part of a cross-functional team.

3+ years of experience working with infrastructure-as-code and automation scripting (e.g., Python, Bash, or Go) to manage complex delivery pipelines.

3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.

3+ years of experience coaching other engineers on testing strategies and pipeline integration.

Engineering & Custom Tooling

Systems Programming: Proficiency in a high-level language (Python, Go, etc) to build custom CLI tools, internal providers, or API integrations that extend the capabilities of off-the-shelf CI/CD products.

Developer Experience (DX) Tooling: Experience building internal abstractions or "Golden Path" templates that simplify complex cloud interactions for product engineers.

Infrastructure as Code (IaC): Expert-level Terraform or Pulumi skills used to treat the entire delivery platform as a version-controlled, testable software product.

Test Infrastructure & Orchestration

Ephemeral Test Environments: Expertise in architecting "on-demand" testing environments (using Kubernetes/Namespaces or Docker) that allow developers to run full-stack integration tests within the pipeline.

Test Tooling Integration: Experience building or integrating frameworks for Contract Testing (e.g., Pact), Synthetic Testing, and Automated Regression at scale.

Mocking & Service Virtualization: Ability to provide engineers with the infrastructure needed to mock healthcare-specific dependencies (e.g., EHR simulators) within the CI flow.

Compliance & Security as Code

Automated Governance: Experience building "Compliance as Code" into pipelines, ensuring that SOC2, SOX, and HIPAA audit evidence (the "Triple-Lock" of Author, Approver, and Scan results) is captured automatically.

Secure Supply Chain: Proficiency in integrating security gates—including SAST, DAST, Secret Detection, and automated SBOM generation—into the automated delivery flow.

Identity & Secrets Management: Deep understanding of managing sensitive credentials and least-privilege access for CI/CD runners in a cloud environment (AWS preferred).

Pipeline Architecture & Reliability

Universal Pipeline Design: Expertise in building modular, reusable CI/CD templates (e.g., GitHub Actions) that standardize deployment patterns across diverse stacks (ECS, EKS, Databricks).

Build Optimization: Proven ability to optimize monorepo build performance through intelligent caching, change-detection, and parallelization.

Observability & DORA Metrics: Ability to instrument the delivery platform to track and improve core metrics like Deployment Frequency and Lead Time for Changes.

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.