AI Solutions Engineer, Post Sales

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

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

Architect, build, and deploy ML models for AI products.

Collaborate with product and design teams for fast AI feature productionization.

Lead design and development of Java-based backend services.

Architect and optimize platform components for high-throughput.

Analyze threat actor behavior and abuse patterns

Implement abuse detection techniques

Design, build, and maintain scalable backend systems

Collaborate with product and engineering teams

Develop and deploy AI models for voice cloning

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

Evaluate, design, and improve cloud security postures for multiple clients.

Provide security leadership across complex cloud environments.

Drive SRE practices across services

Design end-to-end observability solutions

Build fast, scalable cloud-based accounting engine

Provide technical leadership for evolving architecture

Own end-to-end delivery for programs

Build program structures and roadmaps

Driving SRE practices across services

Designing and maintaining end-to-end observability

Lead strategy for serverless onboarding

Design instant workspace spin-up flows

Provide L1/L2 support during live events and tradeshows

Analyze and troubleshoot data discrepancies using PostgreSQL

Contribute design and engineering expertise in a cross-functional team

Develop automation for scalable, high-quality apps

Drive and refine SRE practices across services

Design and maintain end-to-end observability

Develop cutting-edge voice cloning technology

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

Analyze threat actor behavior and abuse patterns

Implement abuse detection techniques