Design, build, and ship the core product experiences our customers rely on, while helping the team push boundaries on what great communication tools can do.
Compensation
Starting salary for this role is $150,000 - $250,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
Responsibilities
Build fullstack features in Go, React, and Ember that power key customer workflows
Collaborate with others to turn ideas into shipped customer value
Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Help evolve our systems to scale with more customers, messages, and use cases
Develop the underlying infrastructure for all of Meta's products and services, ensuring services are reliable, performant, and capable of supporting billions of users.
Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of Meta’s underlying infrastructure and network
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world
Share an on-call rotation and be an escalation contact for live service incidents
Partner with engineers across the organization on high-impact production systems
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Nice to have: AI tool integration for workflow optimization
The Data Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that enable data-driven decision-making across the organization.
Responsibilities
Design, develop, and maintain enterprise reporting, analytics, and business intelligence solutions using Microsoft Power BI
Gather, analyze, document, and validate business and technical reporting requirements
Develop and maintain data models, semantic models, datasets, dashboards, reports, and visualizations
Design, build, and optimize ETL/ELT processes, automated data pipelines, and data integration workflows
Integrate and transform data from multiple enterprise systems and data sources to support reporting and analytics needs
Requirements
Bachelor's Degree in Information Technology, Computer Science, other relevant field
Software Engineer contributing to design, development, deployment, and support of enterprise-grade applications and data solutions.
Responsibilities
Design, develop, test, and maintain scalable data-driven applications, APIs, and integration solutions using modern software engineering practices.
Build and support applications utilizing relational, NoSQL, and graph databases while ensuring high performance, reliability, and scalability.
Develop and deploy cloud-based solutions using platforms such as Azure and AWS, implementing containerization and distributed builds.
Collaborate with multi-functional teams to develop and implement Generative AI, Agent, and AI-Enabled applications applying concepts such as RAG and Agentic AI solutions.
Participate in software lifecycle activities including version control, code reviews, deployment automation, troubleshooting, and continuous improvement.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
Nice to have: Generative AI
Nice to have: Large Language Models (LLMs)
Nice to have: Retrieval-Augmented Generation (RAG)
Participating in daily scrum meetings, troubleshooting complex application and system issues, and using Python and automation to enhance and streamline client applications, while also leading network architecture initiatives and supporting network infrastructure.
Responsibilities
Participate in daily scrum meetings
Troubleshoot complex application and system issues
Use Python and automation to enhance and streamline client applications
Lead network architecture initiatives to support technology modernization
Configure and support routers, switches, firewalls, load balancers, and VPN solutions
Responsible for the fiscal management of a department or significant business unit, overseeing budgets, financial planning, and cost analysis for the Basic Science Consortium.
As Full-Stack Software Engineer II in Guidewire’s Product Development & Operations (PDO) organization, you will build and evolve core Application Platform capabilities that power the world’s leading P&C insurers.
Compensation
The US base salary range for this full-time position is $109,000 - $186,000.
Responsibilities
Design, implement, and maintain complex features across the full stack (backend services and frontend applications) for Guidewire’s core Application Platform and configuration tooling.
Apply agentic coding tools and support Guidewire's effort to dramatically accelerate development.
Engineer for quality, scalability, availability, and security in every aspect of the platform.
Collaborate with cross-functional teams to deliver secure, scalable, and efficient platform capabilities that end-users love.
Support and mentor junior engineers, contributing to a culture of continuous improvement and technical excellence.
Requirements
Nice to have: Agentic coding environments (Claude Code, Codex)
Principal Software Engineer – Tech Lead - Contact Center Platform Engineering. Provide technical and engineering leadership for the design, development, and delivery of enterprise-scale Workforce Management applications that power Fidelity's contact center operations.
Responsibilities
Define and drive the technical vision and engineering strategy for Workforce Management platforms.
Partner with Architects to evaluate solution options and establish long-term technical direction.
Lead architecture and design reviews, ensuring solutions meet scalability, reliability, security, and operational requirements.
Drive engineering standards, development practices, and quality expectations across the team.
Champion modernization efforts, reduce technical debt, and simplify platform complexity.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent experience
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