Software Engineer - Identity and Verifications Team

• Full-time
• Workplace Type:
  Hybrid

Linked In is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At Linked In, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, as determined by the business needs of the team.

Team

Description:

Linked In’s Trust Verifications team is building the identity and trust infrastructure that helps make Linked In a safer and more authentic professional network.

Our systems power verification experiences and trusted identity signals across Linked In, supporting use cases spanning member identity, employment and workplace verification, trusted hiring experiences, and portable professional identity across partner ecosystems.

The technical problems we solve sit at the intersection of digital identity, trust and abuse prevention, distributed systems, high-scale serving infrastructure, partner APIs, and member-facing product experiences. We build platforms that integrate with multiple identity providers and verification methods, process signals across real-time, nearline, and offline systems, and make trustworthy verification data available safely and reliably across Linked In products and external integrations.

About the role:

We are looking for a Staff Software Engineer to serve as a system architect and technical anchor for our Trust and Verifications organization.

This role sits at the intersection of large-scale distributed systems, identity and trust infrastructure, product architecture, reliability, data, and business strategy. You will partner closely with engineering and product leadership to translate ambiguous product and business opportunities into scalable technical strategies and durable platform capabilities.

You will be expected to see beyond an individual service or project: understand how systems interact across organizational boundaries, identify where common abstractions and platform investments are needed, and make architectural decisions that allow the organization to move faster over time.

The ideal candidate combines deep backend and distributed-systems expertise with strong product judgment. You can move fluidly between business goals, product requirements, APIs, data models, storage systems, distributed workflows, operational characteristics, and measurable outcomes.

You bring a high technical bar, meticulous attention to detail, strong ownership, intellectual curiosity, and a solutions-oriented mindset. You proactively identify risks, failure modes, and edge cases; communicate clearly when trade-offs exist; and help teams converge on pragmatic architectures that are scalable, reliable, secure, and evolvable.

Responsibilities

Own Technical Strategy & Architecture:
Define the technical strategy and architecture for a major product or platform area. Make long-term architectural decisions around system boundaries, APIs, data models, modularity, scalability, extensibility, security, and reliability.

Translate Product Strategy into Systems:
Work closely with product and engineering leadership to understand business goals and translate them into scalable technical capabilities. Recognize when an individual product requirement should become a reusable platform primitive rather than a one-off implementation.

Design Large-Scale Distributed Systems:
Architect complex distributed systems spanning synchronous APIs, asynchronous workflows, messaging and event-driven architectures, caching, relational and non-relational storage, and distributed state management.

Build for Trust & Integrity:
Design systems where correctness, data integrity, security, privacy, and abuse resistance are first-class architectural considerations. Think deeply about state transitions, data provenance, consistency, authorization, failure handling, and edge cases.

Design for…