Full Stack Software Engineer

Salute Inc.•United States, US,

4h•$100,000 - $150,000•Remote

About The Position

Salute is a leading provider of cutting-edge Data Center Infrastructure Services, dedicated to serving data center clients worldwide. We pride ourselves on delivering sustainable solutions, unparalleled reliability, and outstanding customer service. As we continue to grow, we are seeking a dynamic and experienced Full Stack Software Engineer to join our team and drive our relationships with hyperscale clients to new heights. We are seeking a Full-Stack Software Engineer who combines deep platform engineering expertise with a track record of translating novel technical work into protected intellectual property. In this role you will own the design and delivery of enterprise-grade software systems - from intuitive user interfaces through distributed backend services and cloud infrastructure - while actively participating in the invention pipeline: identifying patentable innovations, drafting disclosures, and working alongside patent counsel through prosecution. You will set technical direction and shape the software architecture of platforms that automate complex mission-critical operations at scale.

Requirements

8+ years of professional full-stack software engineering with at least 3 years at a equivalent senior IC level.
Proven experience architecting and shipping production-grade distributed platforms in cloud environments (Azure, AWS, or GCP).
Strong proficiency across the stack: modern JavaScript/TypeScript (React or equivalent), Python or Go backends, relational and NoSQL databases, containerization (Kubernetes / Docker).
Demonstrated experience with intellectual property: invention disclosures, prior art analysis, or direct involvement in patent application drafting.
Ability to communicate novel technical concepts precisely in writing - a prerequisite for effective patent documentation.
Strong system design skills: API design, microservices decomposition, event-driven architecture, data modeling, and performance optimization at scale.
Experience owning technical roadmaps and influencing engineering direction without formal authority.

Nice To Haves

Active patent portfolio or named inventor on issued or pending patents.
Experience building platforms in data center, industrial IoT, infrastructure management, or other operations-heavy domains.
Familiarity with AI/ML integration patterns: embedding model-powered features into product surfaces, working with inference APIs, or building human-in-the-loop workflows.
Experience with xAPI / Learning Record Store (LRS) standards, workflow orchestration engines (Temporal, Prefect, Airflow), or BMS / SCADA integration.
Background in open-source strategy, defensive publication, or IP portfolio management.
Experience designing federated service architectures, API mesh patterns, or event-driven integration layers that decouple siloed applications and enable cross-domain interoperability at enterprise scale.
Graduate degree in Computer Science, Software Engineering, or a related field.

Responsibilities

Architect and build full-stack systems spanning modern frontend frameworks (React / TypeScript), distributed backend services (Python, Go, Node.js), cloud-native infrastructure (Azure, AWS, GCP), and API layers (REST, GraphQL, gRPC).
Own end-to-end technical design for platform capabilities including workflow engines, multi-tenant SaaS services, event-driven pipelines, and operator-facing applications.
Identify patentable inventions arising from platform architecture - including novel data flow patterns, system interaction models, and process automation methods - and document them rigorously.
Author invention disclosures, support prior art research, and collaborate with in-house and outside patent counsel through application drafting and prosecution.
Establish and enforce engineering standards: code quality, system observability, security posture, CI/CD practices, and API design conventions across the engineering organization.
Lead cross-functional technical reviews, align with product and data science teams on integration points, and translate business requirements into scalable system designs.
Drive build-vs-buy-vs-partner decisions for platform components; evaluate third-party technologies against long-term IP and architectural strategy.
Deliver systems meeting enterprise SLA requirements: high availability, disaster recovery, role-based access control, audit logging, and regulatory compliance.
Lead the architectural evolution from siloed applications to a decentralized, federated service model - designing unified API gateway and access layers that allow cross-system queries and interoperability without requiring monolithic data consolidation; establish patterns for progressive decomposition of legacy silo systems into composable, independently deployable platform services