Senior Staff Software Engineer - Remote Role with High Impact

About the Role

We are seeking a Senior Staff Software Engineer to join our dynamic team in a remote capacity. This role offers the opportunity to work with a well-capitalized, global business that is building a lean, startup-style engineering function. You will own, modernize, and scale critical internal platforms, operating with real autonomy and minimal red tape.

What You'll Do

• Design, write, and optimize complex SQL Server queries and data models.
• Build high-throughput systems capable of processing millions of events per minute with sub-second latency.
• Develop production-grade backend systems in Python, with experience in Go, Rust, or Java being advantageous.
• Architect and scale microservices and event-driven systems.
• Build and maintain real-time and batch data pipelines using technologies like Kafka, Spark, and Flink.
• Design and develop scalable APIs (REST, GraphQL, gRPC).
• Implement caching and search layers using Redis, Memcached, and Elasticsearch/OpenSearch.
• Work with distributed databases such as PostgreSQL and ClickHouse.
• Contribute to AI-adjacent initiatives including vector databases and embedding systems.
• Rapidly prototype and ship internal tools and dashboards.
• Own systems end-to-end rather than handing work off to vendors.
• Support and improve live, business-critical platforms.
• Optimize application, database, and system performance.
• Collaborate directly with internal stakeholders to turn urgent needs into working software.
• Operate in a fast-moving environment where priorities shift and delivery matters.

Requirements

• Must haves: Expert-level Microsoft SQL Server and deep understanding of performance optimization and complex querying.
• Expert-level Python, Go, or Java in production environments.
• Proven experience building and scaling high-throughput, low-latency systems.
• Strong knowledge of distributed systems, microservices, and event-driven architecture.
• Hands-on experience with data pipeline and streaming technologies (Kafka, Spark, Flink).
• Experience with caching technologies and search platforms.
• Genuine full-stack capability across database and data pipelines, application/business logic, and APIs.

Nice to Have

• Exposure to ERP or financial systems.
• Experience with analytics, automation, or AI/ML infrastructure.
• Knowledge of cloud data services across AWS and Azure.
• Background in cybersecurity data processing or SIEM platforms.
• Familiarity with compliance frameworks (GDPR, SOC2).
• Advanced degree in Computer Science, Data Engineering, or related field.

What We Offer

• Ownership of high-impact, business-critical systems.
• Greenfield work alongside modernization of existing platforms.
• Direct access to senior stakeholders.
• Exposure to advanced data, AI, and large-scale distributed systems initiatives.
• Competitive compensation, flexible for exceptional profiles.