Software Engineering Manager, Core Storage

LinkedIn • Bellevue, WA

18h • Hybrid

About The Position

LinkedIn is hiring a Software Engineering Manager to lead development of its next-generation, public-cloud-grade blob storage platform. The role is based in Bellevue, Washington, and is hybrid, with work performed both from home and from a LinkedIn office on select days as determined by business needs.

The manager will guide a team building a scalable, durable, secure, and cost-effective storage foundation for LinkedIn's online services, offline data, and AI operations. The platform is intended to support workloads including Media, Ads, CTR, tracking events, analytics, AI/ML training, checkpointing, and artifact distribution. The position will help establish the architectural vision and strategic roadmap, foster a high-performing engineering team, and collaborate with internal partners to deliver high-throughput, low-latency services and scalable automated operations.

The work includes developing an S3-compatible storage system, streamlining client adoption through multi-tenancy controls, quota management, and observability, and balancing throughput, latency, availability, durability, and cost through replication and erasure-coding strategies. The team will scale capacity to exabytes while reducing operational overhead through automated capacity management, self-healing recovery, continuous testing, and proactive rebalancing.

Requirements

• BS/BA in Computer Science or a related technical field, or equivalent related experience.
• At least 1 year of management experience, or at least 1 year of staff-level engineering experience with management training.
• At least 5 years of industry experience in software design, development, and algorithm-related solutions.
• At least 3 years of experience in large-scale system design and software development.
• Programming experience in object-oriented and/or functional programming languages such as Rust, Python, C++, or Scala.

Nice To Haves

• MS or PhD in Computer Science or a related technical discipline.
• At least 2 years of hands-on software engineering or technical management and people management experience.
• At least 7 years of industry experience in software design, development, and algorithm-related solutions.
• At least 5 years of programming experience in languages such as Rust, Java, C++, Python, Go, or Scala.
• At least 5 years in technical leadership, with contributions to industry, open-source projects, or academic research in large-data, parallel, or distributed systems.
• Experience with public-cloud object storage, multi-tenant infrastructure, databases, remote disk, or other large-scale distributed storage systems; familiarity with S3-compatible APIs and customer migrations.
• A successful track record of managing engineering teams delivering multiple projects on time and with quality.
• Active involvement in creating and executing technical strategies and roadmaps.
• Suggested skills: distributed systems, storage, and technical leadership.

Responsibilities

• Lead, coach, and manage a core team of engineers building infrastructure.
• Participate with senior management in developing a long-term technology roadmap for the team and company.
• Dive into technical discussions, challenge the status quo, and steer the team toward effective technical directions.
• Communicate and collaborate with stakeholders across engineering and business leadership.
• Set clear expectations, evaluate performance, uphold accountability, and provide challenges that help team members develop their skills.
• Drive a culture of operational excellence.
• Lead the team in defining performance goals and metrics, and building infrastructure and tooling to maintain quality and detect issues in real time.
• Create an inclusive work environment that fosters autonomy, transparency, innovation, and learning while maintaining a high quality bar.
• Provide technical leadership and apply engineering best practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.
• Guide development of a scalable, durable, secure, cost-effective, S3-compatible blob storage platform for LinkedIn workloads.
• Improve client integration through adoption support, multi-tenancy controls, quota management, and observability.
• Optimize performance and cost using appropriate replication and erasure-coding strategies, and scale capacity through automation, recovery, testing, and rebalancing.

Benefits

• Generous health and wellness programs.
• Time away for employees of all levels.
• Annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans may be included in the total compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager