Software Development Engineer 4

Lead security-by-design and compliance-by-design practices, including threat modeling, API security, authorization standards, PCI DSS considerations, data protection, and auditability across multiple teams.

Define common SLIs, SLOs, operational readiness expectations, and observability standards; drive chaos testing and resilience improvements across critical services.

Identify recurring classes of defects, reliability issues, and operational toil across services, then drive systemic fixes rather than isolated patches.

Create reusable CI/CD and infrastructure-as-code patterns, such as standardized Helm charts, Argo workflows, Terraform modules, and secure cloud resource templates, to improve delivery speed and consistency.

Set organizational expectations for code quality, testing strategy, maintainability, and production behavior. Select or influence testing frameworks and promote effective unit, integration, contract, end-to-end, concurrency, and performance testing.

Code selectively in foundational, high-risk, or technically challenging components; use prototypes and technical spikes to validate architecture before broad adoption.

Debug complex issues across service boundaries, lead technical resolution during major incidents, and drive completion of Corrective of Errors (COE) actions and lasting reliability improvements.

Build self-service tools, dashboards, and automation that enable engineers, support teams, and operational partners to diagnose and resolve issues without manual intervention.

Shape cross-team roadmaps by identifying dependencies, critical-path risks, architectural constraints, and opportunities to reduce technical debt before they affect delivery.

Translate architectural risks and technology investments into business language, connecting decisions to customer experience, revenue, retention, operational efficiency, and risk reduction.

Mentor senior engineers, advocate for the growth and visibility of engineers across the organization, and build a culture of thoughtful technical decision-making and inclusive collaboration.

Evaluate emerging technologies through cost-benefit analysis; build safe adoption paths for high-value technologies and coach teams through technical transitions.

Leverage AI-enabled development tools and design responsible AI solutions, including multi-agent workflows, orchestration, state and memory management, evaluation, safety controls, and production integrations where they create measurable value.

Maintain durable documentation, including architecture decision records, design documents, reference implementations, runbooks, COE documents, change-management plans, and operational-readiness plans.