Data Pipeline Engineer

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

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

Develop and implement advanced ML algorithms

Design and refine ML models

Enterprise ownership and governance of modeling ecosystem

Leading model development for financial aspects

Design backend services for intelligent agent workflows

Develop APIs and orchestration layers in Python and TypeScript

Plan, execute, and deliver security projects with minimal guidance.

Manage and audit Identity Provider solutions (Entra, LDAP).

Conduct advanced data analysis and modeling

Design and monitor metrics

Designing complex software systems

Leveraging AI tools for efficiency

Lead and develop recommendation algorithms

Collaborate with cross-functional teams

Hiring a remote Data Analyst for full-time position.

No geographical restrictions for remote work.

Collaborate with cross-functional teams to refine testing processes for mobile applications

Lead mobile test automation projects focusing on UI automation

Lead Digital Forensics and Incident Response team at Dave

Establish core forensics workflows and evolve SIEM

Analyze threat actor behavior and abuse patterns.

Implement new techniques for abuse detection.

Architect and build next-generation AI products

Lead and mentor engineering teams

Develop backend solutions using Python

Deploy applications on GCP and other cloud providers

Improve AI systems through code validation and refinement

Validate algorithms and software concepts for accuracy

Contribute to software development on the Airship project

Design and develop software in collaboration with other systems

Design and implement cloud-native, distributed systems

Lead cross-functional collaboration for aligning architecture with business strategy

Design and architect scalable infrastructure systems for ML inference platform

Optimize Kubernetes deployments for cost-effective model serving

Design, verify, and transition electronics to production

Own robotics stages, motor drives, and controls

Maximize cloud value for key business customers

Lead technical engagements and architecture design

Define success metrics for marketing systems

Design measurement frameworks for always-on marketing systems

Design and build security infrastructure for Starshield

Develop security features for various systems

Develop and maintain automated test strategies

Build scalable and maintainable automation frameworks

Develop and maintain Python code for data analysis, model evaluation, and AI workflow automation.

Design and refine prompts for LLMs to optimize conversational performance.

Design and optimize ETL/ELT pipelines

Build and maintain data transformation infrastructure

Lead and mentor team members in quality engineering

Implement AI-powered automation strategy

Lead and build Battle Road's data platform

Architect AWS-based data solutions

Develop card network transactions at scale

Create Digital Wallet Tokens via Apple Pay and Google Pay

Design and implement skills-based assessment solutions

Lead job analyses and validation studies

Design, implement, and maintain reliable production systems

Lead incident response and perform post mortem analysis

Develop and implement automated test strategies for web applications

Design and execute various automated tests

Architect multi-cloud systems for Scale AI's platform.

Collaborate with platform, product teams, and customers to scale infra.

Design and implement DB-driven workflows

Translate designs into production systems

Lead complex technical projects

Design and build scalable features

Lead projects for R&D and analytics

Collaborate with cross-functional teams

Prototype and iterate on AI-driven insurance products

Deliver end-to-end prototypes and MVPs

Provide technical support for database and cloud infrastructure

Architect enterprise-level DB solutions for large-scale workloads

Secure Autonomous Agent Development

Threat Modeling and Analysis