Staff DevOps Engineer

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

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.