AI Back-End Developer Role

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

Develop and maintain backend systems for Foodsmart web app

Collaborate with front-end engineers for API design and implementation

Analyze threat actor behavior and abuse patterns

Research and implement LLM-driven techniques for abuse detection and prevention

Lead in-depth penetration testing

Define offensive security roadmap

Develop and maintain state of the art voice cloning systems.

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

Design and develop scalable automation frameworks

Collaborate with QA, developers, and stakeholders

Lead design and development of core Java services for a multi-tenant platform

Optimize platform components for high-performance and fault tolerance

Lead advanced penetration testing activities on various technologies

Define and implement offensive security strategies

Develop low latency, cost-effective text-to-speech solutions

Prioritize tasks based on urgency and impact

Analyze threat actor behavior for policy decisions

Implement state-of-the-art techniques for abuse prevention

Designing and building scalable backend systems

Collaborating with product and engineering teams

Analyze threat actor behavior and abuse patterns.

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

Develop backend applications using Python

Utilize cloud services like GCP, AWS, and Azure

Lead and conduct advanced penetration testing

Perform security assessments on Cloud Infrastructure

Design, build, and maintain scalable backend systems

Collaborate with product and engineering teams

Lead end-to-end programs for satellite constellation and radar production.

Drive integrated plans for spacecraft, payload, production, launches.

Build and maintain data-heavy integrations with databases and data stores

Handle edge cases in production: DB upgrades, failovers, large transactions

Drive and refine SRE practices

Design and implement observability solutions

Drive technical success post-sale

Implement and scale ML pipelines and GenAI workflows

Build and support high-performance data solutions

Tackle complex technical challenges in data engineering

Design tooling for researchers to deploy and evaluate models

Build and maintain high-performance, cost-efficient inference pipelines

Understand cloud environments and goals

Design scalable cost allocation and tagging

Drive SRE practices across services

Design/maintain end-to-end observability

Fix performance issues and debug production problems

Develop new features for improved user experience

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

Develop cutting-edge voice cloning technology

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

Analyze threat actor behavior and evolving abuse patterns.

Research, prototype, and implement state-of-the-art techniques for abuse detection.

Contribute to roadmap and architecture based on tech and business needs

Write well-crafted, well-tested, readable, maintainable code

Contribute to legacy PHP/LAMP and modern microservice platforms

Stabilize, refactor, and enhance legacy code with clear docs

Develop AI model serving solutions using Python.

Work on backend development and deployment on cloud platforms like GCP and Kubernetes.

Analyze threat actor behavior and abuse patterns.

Research, prototype, and implement abuse detection techniques.

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers

Lead and conduct advanced penetration testing activities

Define and implement offensive security strategies

Develop and maintain backend systems

Collaborate with front-end engineers

Architect and scale a multi-tenant hybrid-cloud Kubernetes platform

Develop custom Kubernetes operators and self-service abstractions

Lead technical projects and manage deliverables effectively

Architect scalable systems linked to data science platforms

Build foundational platforms and tools for rapid, secure, and cost-effective service provisioning.

Exemplify cloud-native site reliability best practices.

Own the full sales cycle to close deals effectively

Build and manage a pipeline for new business growth

Managing complex deployments across multiple cloud platforms

Partnering with customer engineers for service provisioning and monitoring

Design and maintain cloud-native security services

Improve infrastructure's availability, scalability, and security

Analyze threat actor behavior and evolving abuse patterns

Implement state-of-the-art LLM-driven techniques for abuse detection

Contribute to voice cloning and text-to-speech projects

Develop and deploy high availability applications

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers to shape product decisions

Lead advanced penetration testing activities

Define and drive offensive security roadmap

Lead design and development of core Java backend services

Optimize platform components for high-throughput workflows

Architect, build, and maintain data models, pipelines, and infrastructure

Own end-to-end analytics engineering; report to the CTO

Build and maintain Tanium's servers and client with an agile team

Design, develop, test, and deploy platform services

Architectural leadership in designing large-scale distributed systems

Defining technical strategies for boosting velocity and reliability

Design and implement scalable API services

Improve data consumption/storage for routing data

Build optimized dashboards and KPIs

Create enterprise-grade visuals for Sales and customers