Senior Software Engineer

SoCode US; Denver (CO); Hybrid; USD 108,000 - 180,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k) with employer contributions

Health Savings and Flexible Spending

Job summary

SoCode US in Denver, CO is seeking a Senior Software Engineer to build the core of a large-scale, S3-compatible object storage platform. This hands-on role focuses on the storage engine, not integrations, and is based in a hybrid Denver environment.

You will design data pipelines, optimize performance, and contribute to durability and data protection across a distributed cluster. A strong background in C/C++/Rust and Linux performance is required for success.

Qualifications

• 10+ years of systems software engineering in C, C++ or Rust.
• Deep, hands-on experience building object, file or block storage systems at scale.
• Strong grasp of distributed systems fundamentals: consistency, replication, durability and failure handling.
• Solid Linux systems knowledge and an instinct for performance.
• Familiarity with the S3 API and object-storage concepts (metadata, erasure coding, request pipelines).

Responsibilities

• Design and build the object request pipeline (PUT/GET/DELETE) that serves data at scale with predictable low latency.
• Write and optimise performance-critical code paths - zero-copy data handling, distributed caching and request coalescing, and efficient metadata handling.
• Work on durability and data-protection internals, including erasure coding and the mechanisms that keep data safe across a distributed cluster.
• Own features end to end, from design through implementation, testing and production hardening.

Skills

C/C++/Rust

Distributed systems

Linux performance

S3 API

Tools

NVMe-oF

RDMA

Job description

Senior Software Engineer – Object Storage

Denver, CO (Hybrid) | Up to $180,000 base (can go higher for exceptional candidates) + benefits | Full-time

An established leader in enterprise data storage is hiring a Senior Software Engineer to build the core of a large-scale, S3-compatible object storage platform used to store and protect petabytes of unstructured data for demanding, mission-critical workloads. This is a hands-on engineering role at the heart of the storage engine, not a wrapper or integration role.

What you'll do

• Design and build the object request pipeline (PUT/GET/DELETE) that serves data at scale with predictable low latency.
• Write and optimise performance-critical code paths - zero-copy data handling, distributed caching and request coalescing, and efficient metadata handling.
• Work on durability and data-protection internals, including erasure coding and the mechanisms that keep data safe across a distributed cluster.
• Own features end to end, from design through implementation, testing and production hardening.

What we're looking for

• 10+ years of systems software engineering in C, C++ or Rust.
• Deep, hands-on experience building object, file or block storage systems at scale - not just consuming them.
• Strong grasp of distributed systems fundamentals: consistency, replication, durability and failure handling.
• Solid Linux systems knowledge and an instinct for performance (latency, throughput, memory and I/O).
• Familiarity with the S3 API and object-storage concepts (metadata, erasure coding, request pipelines).

Nice to have

• Experience with zero-copy techniques, lock-free concurrency, or low-latency network data paths (NVMe-oF, RDMA).
• Exposure to hybrid-cloud data workflows or large-scale AI/ML data pipelines.

What's on offer

• Base salary up to $180,000, depending on experience.
• Medical, dental and vision coverage.
• Health Savings and Flexible Spending Accounts.
• Company-paid life, AD&D and disability insurance.
• 401(k) retirement plan with employer contribution.
• Employee Assistance Program and wellness benefits.
• Hybrid working (3 Days) , Denver, CO.
• Must have full working rights in the United States.

This role is live and interviews will be happening imminently, the interview process is 3 stages and average time from Recruiter Screening call (Human, Not AI), to Offer/ Decision is around 2 - 3 weeks.