Senior Software Engineer: Platform

About Big Geo
Big Geo is redefining geospatial intelligence with an AI‑ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission‑critical decisions across sectors where location intelligence drives outcomes—from large‑scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.

Backed by Vivid Theory, a venture studio dedicated to building transformative technologies, we’re a multidisciplinary, entrepreneurial team built for impact. We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.

The Opportunity
We’re seeking a Senior Platform Engineer focusing on high‑performance backend systems using modern statically compiled languages. This role emphasizes building reliable, secure, and performant infrastructure that powers our product offerings. If you’re a developer who thrives on creating high‑performance, observable systems and isn’t afraid to dive deep into low‑level optimizations while building reliable platform services, we want to hear from you!

Primary Responsibilities

Design and implement efficient, reliable, secure, and observable backend systems

Optimize code for performance and resource utilization

Contribute to architectural decisions for distributed systems and big‑data processing

Write and maintain observable, instrumented code that enables effective system monitoring

Lead the development of complex platform features

Design and implement scalable data architectures

Conduct thorough performance testing and optimization

Mentor junior developers, promote and enforce best practices

Lead initiatives to align platform development with business objectives, ensuring that all platform functionalities contribute positively to key outcomes and KPIs

Facilitate a smooth transition of platform features to product teams, supporting seamless integration and effective use within product pipelines

Continuously evaluate and optimize the platform to enhance user experience and deliver measurable business value, supporting overall company growth objectives

Assume full ownership and accountability for strategic technology domains, with the ability to articulate their business value and organizational impact

Drive Dev Ops practices and automation initiatives

Monitor and analyze technical performance of internal systems

Leverage existing CI/CD pipelines and tooling for efficient deployment workflows

Support deployment and operational excellence

Contribute to infrastructure‑as‑code initiatives

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience)

Proven track record in high‑performance backend development

Proficiency in modern statically compiled languages

Strong understanding of immutability principles and their application

Expertise in writing efficient, reliable, and secure code

Proficient with both manual memory management and automatic lifetime management techniques

Strong understanding of computer architecture and efficient utilization of available resources

Strong knowledge of fundamental data structures and algorithms

Understanding of performance trade‑offs between algorithmic efficiency, distributed systems coordination, and I/O minimization in big data contexts

Experience with modern observability patterns and practices

Backend Technology Stack Requirements

Core Languages & Frameworks

Experience with modern statically compiled languages (Go, Rust, C++, or similar)

Familiarity with testing frameworks and benchmarking tools

Understanding of dependency management and build systems

Databases & Data Storage

Strong experience with relational databases (Postgre

SQL, MySQL)

Proficiency with No

SQL databases (Mongo

DB, Redis, Cassandra)

Experience with time‑series databases (Influx

DB, Timescale

DB, or Prometheus)

Knowledge of database optimization, indexing strategies, and query performance tuning

Experience with connection pooling and database driver optimization

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