Firmware Validation Manager

Architect scalable automated test frameworks using Python and Bash

Build dynamic test environments on cloud platforms with Ansible and Terraform

Improve AI systems through code validation and algorithmic evaluation

Provide feedback on solution quality and clarity

Lead and execute digital forensics and incident response at Dave

Establish core forensics workflows and evolve SIEM

Guide customers through product journey

Build custom demos and prototypes

Architect and build Conversational AI products

Lead and mentor engineering teams

Analyze threat actor behavior and abuse patterns.

Research, prototype, and implement abuse detection techniques.

Conduct analysis and summarize findings

Support financial planning and performance management

Lead mobile test automation projects

Design and implement mobile UI automation tests

Develop AI model serving infrastructure

Collaborate for successful deployment

Manage projects and problems of larger scope

Formulate efficient game plans for feature delivery

Develop secure, scalable data systems

Build and operate data pipelines

Translate ideas into engineering solutions

Own end-to-end project delivery

Identify AI opportunities and challenges for use cases

Apply GenAI techniques and build AI agents, copilots, and workflows

Architect and maintain evaluation suites

Build scalable pipelines for model training

Automate risk workflows using Go and AI tools.

Prototype and turn experiments into production.

Analyze and solve business problems with data

Implement model and system changes

Collaborate with cross-functional teams to solve pricing and rider engagement problems

Write production-quality code and deploy machine learning models

Build data and AI-powered internal tools for evaluating companies

Develop Meeting Prep Automation and Portfolio Benchmarking tools

Act as a customer's technical advocate and extend their team.

Implement Fastly products post-sales and document configurations.

Data collection and management

Analysis to identify trends

Define architecture for large-scale lab automation systems

Lead architectural direction from concept to production

Design and architect Accounting Platform systems

Mentor engineers and ensure quality standards

Design and build scalable data pipelines for clinical RWD

Implement Python/SQL ETL/ELT with AWS services

Design and develop data pipelines using Python, Spark, Databricks, SQL, and SSIS.

Implement ETL/ELT workflows with Apache Airflow and SSIS.

Expand EAP to deliver data efficiently and reliably

Architect and automate services for scaling under demand

Define and own ML platform roadmap aligned with business goals

Lead team to design, develop, and optimize ML systems

Design, develop, and maintain scalable vehicle data systems

Implement and scale log data storage on AWS S3 and distributed systems

Be the technical expert during sales cycles

Partner with AEs for deep technical discovery

Define infrastructure architecture and address technical challenges.

Lead complex initiatives across multiple teams.

Contribute to production with senior engineers

Apply software engineering principles

Guide customers through the product journey

Lead technical discovery sessions

Collaborate with cross-functional teams to refine testing processes.

Design and implement resilient mobile UI automation tests.

Analyze threat actor behavior and abuse patterns

Research, prototype, and implement abuse detection techniques

Improve AI systems through code validation and algorithmic evaluation

Provide feedback on solution quality and clarity

Lead Digital Forensics and Incident Response efforts

Evolve the company's Security Information and Event Management

Manage projects of larger scopes efficiently

Deliver stable features on time

Conduct cross-functional financial analysis

Support annual financial planning process

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Develop state-of-the-art voice cloning techniques

Implement low latency and cost-effective text-to-speech solutions

Design and build scalable backend systems and APIs

Enable audience creation, segmentation, and activation on Twilio's data platform

Design and implement data governance policies and procedures.

Build pipelines and warehouses for financial data reporting.

Design and execute test cases efficiently

Collaborate with developers and product managers

Lead shift-left methodologies

Develop full-stack automation frameworks

Design and implement frontend and backend systems for managing and processing logs.

Write robust, maintainable, and well-tested code.

Define technical strategy and roadmap

Design and build scalable infrastructure

Deliver DoD software using Agile methodology

Build applications with Python, FastAPI, and React

Serve as a technical advisor to startups

Develop prototypes and documentation for AI scaling

Design and implement IAM policies, audit logging, and scalable access for data governance.

Build and ensure data integrity for financial data infrastructure.

Design and build scalable distributed infrastructure and shared libraries

Own and evolve build environments, package management, and dependencies

Build and embed security checks into CI/CD pipelines

Design secure-by-default architectures