Senior Software Engineer, Analytics Platform

Define architecture for large-scale lab automation systems

Lead architectural direction from concept to production

Provide technical leadership on automation-first customer problems

Bridge customer operations, AI, and platform teams for scalable solutions

Build and evolve managed services for scalable, reliable systems

Improve incident response with SLOs, alerts, and dashboards

Lead data platform product requirements

Define data substrate vision and strategy

Own critical infrastructure supporting engineering teams

Design, deploy, and operate Kubernetes platforms

Drive backend engineering

Lead design and implementation of new features

Design and optimize APIs and data pipelines for real-time analytics at scale.

Build and enhance distributed systems for large-scale indexing, search, and data processing.

Build and manage AI tooling stack and system infra for Field Engineering

Set standards for AI-driven development and scale capabilities

Build and maintain data infrastructure processing petabytes of data

Write clean, well-tested code for data ingestion, transformation, and serving

Lead development and support of applications

Build scalable solutions for clients

Shape next-gen International Payments Risk architecture

Define long-term technical direction for platform scaling

Drive end-to-end delivery of large-scale technical initiatives.

Translate business goals into detailed technical requirements.

Design and build frontend systems for a new consumer credit experience

Develop scalable, distributed services with event-driven architectures

Empower developers through technical communication and content creation

Engage with technical communities to promote DataHub

Design scalable API first architecture

Lead transition to Cloud-native architecture

Designing and developing cloud-native API first platform

Ensuring high reliability and scalability

Provide technical leadership in defining and evolving cloud-native architecture standards.

Drive the organization-wide transition to cloud-native and service-oriented architectures.

Work on impactful customer technical Big Data projects

Guide strategic customers in implementing big data projects

Work on impactful customer technical Big Data projects

Guide strategic customers in implementing transformational big data projects

Design and develop a cloud native API first platform for a Security Knowledge Platform™

Drive modernization efforts towards a reliable platform

Design and develop a cloud-native API-first platform for a Security Knowledge Platform™

Lead and own the transition to cloud-native architecture

Scope, design, and deploy ML systems into the real world

Understand customer needs and build data products at a global scale

Transform education and productivity using the latest AI technologies

Develop tools for Goodnotes AI and foundational technologies

Seeking a Senior Software Engineer in Test with 5+ years of experience

Proficiency in Python for automation and framework code

Deploy and manage OpenStack, Kubernetes, and open source applications in a DevOps environment

Identify and address incidents, monitor applications, and enable product refinement

Empowering developers through technical content and engagement

Promoting DataHub and metadata management ecosystem through events

Work with clients on big data challenges using Databricks platform.

Provide data engineering, data science, and cloud technology projects.

Work on impactful customer technical Big Data projects

Guide strategic customers in implementing transformational big data projects

Developing a cloud native API first platform

Ensuring high reliability and scalability of the platform

Design and develop a cloud-native API first platform

Drive modernization efforts for a reliable service-oriented platform

Transform education and productivity through AI technology

Build and maintain infrastructure for running end-to-end AI technology

Build and enhance MetaMask's backend blockchain routing services

Collaborate with client teams to meet requirements

Design, build, and maintain scalable backend services and APIs

Collaborate with cross-functional teams to deliver end-to-end solutions

Implement data ingestion routines

Develop a workflow orchestration platform

Help key partners understand and utilize Canonical's open source platform

Architect cloud infrastructure solutions using various technologies

Advance AI coding capabilities

Collaborate on remote, flexible projects

Enhance reliability of open source infrastructure

Automate operations for scalability

Architect scalable data pipelines and infrastructure.

Enable real-time, reliable, and high-quality data access.

Design and implement scalable data architectures

Lead and mentor engineering teams

Deliver impactful big data solutions for clients

Lead and manage technical data teams

Design and optimize scalable AI/ML models

Integrate AI solutions across business units

Deliver technical big data solutions for clients

Guide customers through cloud migrations and AI adoption

Develop scalable data frameworks and tooling

Ensure data integrity and safety across deployments

Architect and implement scalable data solutions

Lead and mentor engineering teams

Architect and deliver scalable data solutions

Lead and mentor engineering teams

Deliver enterprise data platform solutions

Administer and optimize distributed systems

Design and deliver scalable financial solutions

Guide technical decisions and team collaboration

Automate and optimize infrastructure operations

Ensure reliability and scalability of cloud platforms

Build and deploy real-time ML models for personalization and recommendations

Integrate machine learning outputs into mobile and backend user-facing features

Design scalable data infrastructure

Build and maintain high-quality data pipelines