DevOps Engineer III

Architect AWS cloud infra for global scale

Implement AI-powered automation tooling

Execute joint marketing plans

Collaborate with various teams

Design, build, deploy, and monitor production-ready ML services.

Collaborate with AI scientists to package and deploy ML models.

Ship features across full stack

Work on retention, automation, and new product initiatives

Lead design and sales of AI solutions on AWS

Engage C-level executives with AI demos

Lead critical infrastructure initiatives across engineering

Design and own technical quality bar

Design and build GRC automation processes

Integrate multiple technologies/APIs for control checks

Design, build, and maintain scalable distributed backend systems.

Work closely with product and engineering peers to shape product decisions.

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

Lead design and development of Java backend services

Architect and optimize platform components

Lead and shape the Security Incident Response Team

Develop runbooks, playbooks, and response capabilities

Participate in security investigations and offensive security

Automate security processes for operational efficiency

Lead automation build-out for datacenter servers

Manage end-to-end machine lifecycle

Lead application security direction and design frameworks

Architect and automate security controls at scale

Set technical strategy and collaborate with cross-functional teams

Define technical solutions and operational processes

Set technical vision and strategy

Lead engineering team

Design, build, and maintain backend services powering GoDaddy’s backup infra

Develop RESTful APIs integrating across hosting platforms

Serve as primary security representative in customer engagements

Drive technical security discussions during pre-procurement stages

Design, build, and maintain scalable distributed backend systems for a Web3 platform.

Collaborate with product and engineering teams to shape product decisions.

Lead design and development of core Java-based backend services

Optimize platform components for high-throughput workflows

Lead advanced penetration testing projects

Define security roadmap for offensive strategies

Analyze threat actor behavior and abuse patterns

Design and implement abuse detection techniques

Develop and maintain backend systems using Python.

Utilize cloud services like GCP, AWS, and Azure.

Lead and manage engineering team

Own platform tech direction

Lead Service team in microservices development

Drive architecture decisions and strategies

Develop vision and roadmap for compute frameworks and validation pipelines

Collaborate with AI teams for dataset automation

Provide technical leadership

Ensure software reliability and availability

Develop state-of-the-art voice cloning and text-to-speech solutions

Implement low latency and cost-effective systems

Design, build, and maintain distributed backend systems

Shape product decisions and contribute to technical discussions

Representing the company in security discussions with customers and prospects.

Driving technical security discussions during pre-procurement stages.

Lead and conduct advanced penetration testing projects

Exploit security vulnerabilities in Cloud Infrastructure

Analyze threat actor behavior and abuse patterns

Research and implement abuse detection techniques

Design and implement security solutions using AI technologies

Ensure compliance with infrastructure as code (IAC) standards

Lead architecture for integrating features with LLMs and diffusion models

Maintain high quality AI features while delivering value incrementally

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