Advisor Product Developer
Advisor Product Developer
Posted today
SENIORITY
Lead
SALARY
$65hr
About the role
- Lead application design and implementation standards across React/TypeScript, .NET 10/C#, APIs, data, integrations and AWS workloads.
- Review complex designs, code, test evidence and technical specifications; resolve defects, performance issues and production risks.
- Guide multi-tenant architecture, configuration-driven behavior, feature flags, versioning and compatibility with required legacy interfaces.
- Guide PostgreSQL modeling, conversion/reconciliation, REST and event-driven integrations, Glue/Spark batch workloads and Kafka/MSK patterns.
- Establish Terraform, CI/CD, automated quality gates, observability, secure logging, vulnerability remediation and release controls.
- Mentor engineers and communicate technical decisions, risks, tradeoffs and recommendations across product and DDI teams. Modernized DDI Technical Skills
- Engineering: Advanced .NET 10/ASP.NET Core, React/TypeScript, microservices, serverless, DDD, SOLID and distributed systems. Cloud and data: AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, conversion and reconciliation.
- Platform delivery: Terraform, Git, containers, Azure DevOps/GitHub Actions, CI/CD, quality gates and release controls.
- Security: OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, threat modeling and HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps.
- Reliability: Automated testing, structured logging, metrics, tracing, alerting and production support. AI-Driven Delivery Skills
- Champion approved AI coding assistants such as GitHub Copilot, Codex or comparable tools for implementation, refactoring, tests, code explanation, documentation and modernization analysis.
- Define team prompting patterns, repository-context practices and acceptance criteria for AI-generated code.
- Review generated code for architecture fit, correctness, security, performance, accessibility, licensing/provenance risk and maintainability.
- Require automated testing, static analysis, security scans and peer review before AI-generated changes are merged.
- Use AI-assisted analysis for legacy-code decomposition, dependency discovery, impact assessment, defect investigation and functional-parity planning.
- Mentor engineers on responsible use, data protection, hallucination detection and maintaining human ownership of technical decisions. Professional Capabilities
- Strong technical leadership, mentoring and cross-team influence.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
