AI Support Engineer Tier I

Design, build, and maintain scalable distributed backend systems

Shape product decisions with product and engineering peers

Lead design and scalability of Java-based backend services.

Optimize platform components for high-throughput workflows.

Contribute to cutting-edge voice cloning and text-to-speech technologies

Develop efficient and high-performance backend solutions

Analyze threat actor behavior and abuse patterns

Implement state-of-the-art LLM-driven techniques

Lead high-priority incident escalation and containment

Automate monitoring with Python and Go

Drive data velocity and production efficiency

Ensure end-to-end ownership of data lifecycle

Build and maintain AWS data infrastructure using Spark and Scala

Scale core pipelines to support growth

Design and build production-grade AI internal tools

Develop full-stack systems with modern frontend and cloud backends

Build and deploy LLM-powered apps

Partner with stakeholders for automation opportunities

Define AI/ML roadmap with cross-functional leaders

Lead AI/ML org and end-to-end product delivery

Lead CRM/MarTech integration enhancements

Collaborate with various teams

Review opportunities and ensure order compliance

Coordinate resolution of Order Form discrepancies

Develop state-of-the-art voice cloning solutions

Implement efficient text-to-speech systems

Serve as the primary security representative in customer engagements

Articulate security architecture, controls, and risk management approach

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers to shape product decisions

Lead design, development, and optimization of Java backend services for AI Platform

Architect and integrate core data systems with high-performance requirements

Analyze threat actor behavior and abuse patterns

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

Deliver features independently with defined scope

Write well-tested, maintainable code

Lead multiple engineering teams in Business Systems

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

Analyze threat actor behavior and abuse patterns.

Implement advanced techniques for abuse detection and prevention.

Serve as the primary security representative in customer and prospect engagements.

Articulate security architecture, threat model, controls, and risk management approach.

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers

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.

Lead pre-sales technical strategy for strategic accounts

Advise on customer value and alignment with Docker

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

Take ownership of assigned problems and drive to completion

Participate in all SDLC phases

Design, implement, and optimize backend and infrastructure

Collaborate with various teams for feature delivery and system health monitoring

Design, build & maintain data infrastructure.

Enhance data monitoring & alerting.

Build customer-facing self-serve products

Implement growth initiatives

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

Prioritize tasks based on urgency and impact

Analyze threat actor behavior and abuse patterns.

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

Lead and conduct advanced penetration testing

Define offensive security roadmap

Lead design and development of Java-based backend services

Optimize platform components for high-throughput and low-latency

Design, build, and maintain distributed backend systems.

Collaborate with product and engineering teams to shape product decisions.

Design complex systems with teams

Build and manage backend services in AWS

Lead and scale engineering organization for fundraising tools and payments

Drive PHP/React fundraising platform and .NET Core payments on 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

Lead design and development of internal tools

Implement and maintain build systems and CI/CD pipelines

Lead end-to-end design and delivery of scalable data products.

Identify automation and integration opportunities.

Designing complex software systems

Leveraging AI tools for efficiency

Lead and conduct advanced white-box penetration testing

Perform security assessments on Cloud Infrastructure

Analyze threat actor behavior and abuse patterns.

Implement new techniques for abuse detection.

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering peers to shape product decisions

Develop backend solutions using Python

Deploy applications on GCP and other cloud providers

Lead design and development of Java-based backend services

Optimize platform components for high throughput and low latency

Design and implement cloud-native, distributed systems

Lead cross-functional collaboration for aligning architecture with business strategy