Senior Python Engineer, Customer Value Track

Design and build analytics data platform foundation

Develop scalable data models

Developing scalable internal software and integrations

Collaborating with cross-functional teams

Deliver features independently with defined scope

Write well-tested, maintainable code

Design, build, and maintain data pipelines

Develop, evaluate, and iterate ML models

Drive growth and increase marketing impact

Ensure accurate marketing measurement data

Design, build, and maintain Boomi EDI integrations

Lead EDI standard implementations: ANSI X12 and EDIFACT

Design and build scalable build infrastructure

Optimize build environments and dependencies

Own marketing analytics process

Define and track key metrics

Lead multiple engineering teams in Business Systems

Define strategy and roadmap with product, operations, and technology leaders

Hiring experienced software engineers for AI research collaborations

Improving AI systems through code validation and algorithmic evaluation

Analyze threat actor behavior and abuse patterns.

Implement advanced techniques for abuse detection and prevention.

Guide customers through product journey

Build custom demos and prototypes

Develop state-of-the-art voice cloning and low latency text-to-speech solutions.

Implement backend solutions using Python.

Lead Digital Forensics and Incident Response

Establish core forensics workflows and evolve SIEM

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Drive cross-functional security practices

Lead security design reviews

Work with telemetry and geospatial data sets

Collaborate with engineers on geospatial data needs

Provide technical leadership for adopting Databricks.

Consult on big data architecture and POCs for projects.

Aligning use-case demand for priority customers

Driving adoption and onboarding of Databricks products

Design and build tooling for Elasticsearch performance benchmarks

Lead team engagements and initiatives

Lead and mentor a high-performing team

Own the AIOps vision, strategy, and roadmap

Develop and maintain ML systems for health feature analysis

Collaborate with Data Engineers to enhance ML data pipelines

Develop and manage Anti-Financial Crimes program

Design monitoring frameworks for transactions

Develop and optimize software for Falcon and Dragon ground systems

Own full software lifecycle and provide end-user support

Own high-impact customer pipelines and make impactful decisions.

Design data taxonomy to improve model performance based on customer needs.

Plan and execute test strategies for design validation

Create detailed test plans and ensure timely execution

Design, build & maintain data infrastructure.

Enhance data monitoring & alerting.

Build customer-facing self-serve products

Implement growth initiatives

Design and build backend services for verification and risk evaluation.

Develop rule engines for automation and decisioning.

Improve AI systems through code validation and refinement

Validate algorithms and software concepts for accuracy

Develop and deploy AI models for voice cloning and text-to-speech

Prioritize tasks based on urgency and impact

Design and implement mobile UI automation tests.

Lead mobile test automation projects.

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Analyze threat actor behavior and abuse patterns.

Implement state-of-the-art techniques for abuse detection.

Lead and own digital forensics and incident response at Dave

Establish core forensics workflows and evolve SIEM

Guide customers through product journey

Build custom demos and prototypes

Design complex systems with teams

Build and manage backend services in AWS

Design and maintain cloud-native infrastructure

Modernize identity infrastructure with Terraform

Design complex backend systems

Build and extend features for fleet ops

Architect, deploy, and maintain a scalable multi-tenant SaaS environment in AWS

Optimize AWS services for cost, performance, and reliability

Deliver technical and business value to clients

Engage clients through demos and integrations

Design and develop large-scale data pipelines

Improve and automate internal processes

Research customer problems and craft solutions

Own the technical win and drive the deal

Lead design and development of internal tools

Implement and maintain build systems and CI/CD pipelines

Build scalable and reliable data systems

Collaborate with cross-functional teams

Apply ML techniques effectively

Define strategic roadmaps

Implementing defenses against abuse

Collaborating with data scientists

Architect and develop external-facing APIs for developers.

Build and enhance a no-code platform for non-technical users.

Build financial software using AI technology

Work on impactful products with a mentor and team

Build and maintain software products

Design and develop new product ideas