Senior Response Engineer

Code, test, debug, and maintain production software for features

Collaborate with cross-functional teams to ensure smooth releases

Architect, build, and optimize payments platform

Collaborate with cross-functional teams

Own and manage Splunk-based observability platform

Automate deployment using Terraform across distributed systems

Leading a team at the product engineering and delivery intersection

Developing tooling and automation for repeatable deployments

Lead and support a high-performing Infrastructure Platforms team

Connect business goals with engineering solutions

Design, build, and operate scalable backend services.

Own core services for reliability and observability.

Design, build, and operate Go microservices

Debug and resolve production issues

Lead and support a high-performing Infrastructure Platforms team

Connect business goals and customer needs with engineering

Design and build Go microservices for seller platform functionalities

Debug and resolve production issues in multi-service workflows

Design, build, and operate scalable backend services in Go

Own core services end-to-end for reliability and efficiency

Lead high-priority incident escalation and containment

Automate monitoring with Python and Go

Deliver secure-by-default protections across various platforms

Lead design reviews and threat modeling

Lead high-leverage Ads API projects

Architect backend services roadmap

Own parts of Contacts stack end-to-end

Evolve architecture to scalable, multi-tenant system

Design, build, and operate Go microservices

Debug and resolve production issues

Lead and support high-performing team

Drive continuous improvement in service operations

Deliver features independently with defined scope

Write well-tested, maintainable code

Design and build scalable build infrastructure

Optimize build environments and dependencies

Collaborate with various teams to ship network observability features

Lead and improve Query services focusing on speed, throughput, and latency

Lead multiple engineering teams in Business Systems

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

Design, build, and operate scalable backend services.

Ensure reliability, observability, and operational ownership.

Design, build, and operate Go microservices

Debug and resolve production issues

Lead and support high-performing Infrastructure Platforms team

Create environment for team members to excel

Lead and mentor a high-performing team

Own the AIOps vision, strategy, and roadmap

Create efficient development to production pipelines with fast feedback and safety.

Partner closely with product engineering teams to enhance engineering standards and release quality.

Design and build backend services for verification and risk evaluation.

Develop rule engines for automation and decisioning.

Design and build Go microservices for seller platform functionalities

Debug and resolve production issues in event-driven systems

Design, build, and operate scalable backend services

Ensure high reliability and observability

Lead and support Infrastructure Platforms team

Connect business goals with engineering

Design and maintain cloud-native infrastructure

Modernize identity infrastructure with Terraform

Build scalable and reliable data systems

Collaborate with cross-functional teams

Build and maintain software products

Design and develop new product ideas

Plan, execute, and deliver security projects with minimal guidance.

Manage and audit Identity Provider solutions (Entra, LDAP).

Lead and support a high-performing team

Connect business goals with engineering

Design, build, and operate scalable backend services in Go

Ensure high reliability and observability in core services

Lead the engineering team and shape new features

Ensure performance and reliability for high request rates

Design and implement cloud-native, distributed systems

Lead cross-functional collaboration for aligning architecture with business strategy

Design and architect scalable infrastructure systems for ML inference platform

Optimize Kubernetes deployments for cost-effective model serving

Maximize cloud value for key business customers

Lead technical engagements and architecture design

Design, implement, and maintain reliable production systems

Lead incident response and perform post mortem analysis

Prototype and iterate on AI-driven insurance products

Deliver end-to-end prototypes and MVPs

Provide technical support for database and cloud infrastructure

Architect enterprise-level DB solutions for large-scale workloads

Secure Autonomous Agent Development

Threat Modeling and Analysis

Design and build scalable backend services in Go

Own and maintain core services end-to-end

Lead and support high-performing teams

Create scalable infrastructure platforms

Design, build, and maintain backend services and features

Contribute to frontend development for user-facing features

Build backend systems for observability data transformation

Develop features for Portfolio Insights and product analytics

Design, build, and operate scalable backend services in Go

Enhance system reliability, observability, and operational ownership

Lead and support a high-performing team

Define and deliver scalable infrastructure platforms

Ensure backward compatibility across evolving schemas

Build scalable data pipelines across various platforms