Software Engineer (Python, Tableau, Django, React/Redux)

Job Title: Software Engineer (Python, Tableau, Django, React/Redux)

Location: New York City, NY (Onsite)

Type: Contract

Duration: Long Term

Job Description:

Software Engineer III (Associate) - Full-Stack Automation & AuthE (External User Login, Build + Run)

About the role:

We are seeking a full-stack software engineer to design, build, and scale enterprise automation platforms that streamline business intelligence and analytics workflows across the firm.

You ll combine deep Python/Django backend development with modern frontend engineering (React/Redux), building resilient cloud-native services and integrations with platforms like Tableau, ThoughtSpot, Cognos, Qlik, and Alteryx.

A core part of this role is enabling non-workforce (external) users to securely log in to internally built web reporting applications through Authentication Everywhere (AuthE), the strategic authentication & authorization platform for non-workforce users. You ll work in a build + run model, owning features end-to-end and partnering with infrastructure and security teams to keep services reliable in production.

What you ll do:

External user login + AuthE

• Use firm-approved AI coding assistants (e.g., GitHub Copilot; Claude Sonnet/Opus) to accelerate development of full-stack features, automation, and integrations while maintaining code quality and review standards.
• Rapidly prototype and iterate on automation and integration approaches using AI-assisted workflows (e.g., scaffolding services, generating tests, drafting technical documentation) to shorten delivery timelines and increase throughput.
• Implement and support AuthE-based login for non-workforce users accessing internally built web reporting applications (human interactive authentication).
• Configure and troubleshoot AuthE-supported authentication patterns and flows used by the application (e.g., OAuth 2.0 / OIDC and/or SAML federation, depending on the chosen pattern).
• Support access and entitlement management workflows and user access issue resolution tied to external reporting access.
• Own production support for external user access, including logging configuration/management, monitoring/alerting, and incident management across the external platform.
• Coordinate periodic AuthE operational activities (e.g., certificate renewals) to maintain uninterrupted authentication services.

Automation

• Build operational automation around external user onboarding/offboarding, group configuration, and synchronization to AuthE where required.
• Design and develop scalable full-stack applications using Python, Django, Django REST Framework, and React.
• Maintain automation systems that reduce manual BI workflows across multiple lines of business.
• Develop microservices to interact with distributed cloud clusters and internal infrastructure tools.
• Partner with cloud and infrastructure teams to provision and manage data source connections.
• Ensure high reliability, observability, and operational excellence in production systems (monitoring, alerting, incident response).
• Author comprehensive technical and user documentation for developers, users, and executive stakeholders.

Required qualifications:

• 3 5+ years of software engineering experience.
• Strong backend development experience with Python and Django.
• Experience building REST APIs using Django REST Framework.
• Frontend experience with React.
• Experience with asynchronous task processing (Celery or equivalent).
• Experience with CI/CD pipelines (Jenkins or similar).
• Cloud experience (AWS, Cloud Foundry, or similar).
• Strong understanding of Git workflows and PR best practices.
• Experience operating in Agile delivery environments.

Preferred qualifications:

• Familiarity with AuthE capabilities used for external login (e.g., username/password + OTP, federated SSO via SAML, OAuth 2.0 authorization code flow).
• Experience automating BI platforms (Tableau, ThoughtSpot, Cognos, Qlik).
• Experience building internal enterprise tools.
• Familiarity with MySQL.
• Experience integrating with infrastructure automation tools (e.g., Gaia, Jenkins).
• Demonstrated ability to reduce manual operational effort through engineering solutions.
• Experience supporting production systems with SLAs, monitoring/alerting, and incident management (L1/L2/L3).