Staff Solutions Engineer

Searchstratos; Palo Alto (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Searchstratos in Palo Alto is seeking a Staff Solutions Engineer to design and deploy production solutions on the Archetype AI platform, spanning edge devices to the cloud. You will own end-to-end implementation, building apps, integrations, and data pipelines while partnering with Sales and Product to translate requirements into working solutions.

You will write code, deploy the system, and ensure production readiness with scalable APIs, streaming data processing, and reliable deployments using

Qualifications

• 5+ years professional software engineering experience across client and server environments.
• Strong proficiency in TypeScript and Python, with Rust or C++ experience.
• Experience designing and implementing scalable APIs, services, and integrations.
• Experience with modular, plugin-based architectures with clear separation of concerns.
• Experience with real-time or streaming data processing under latency and throughput constraints.
• Experience with Kafka or other messaging protocols and building data processing pipelines.
• Experience with REST APIs, IoT (MQTT, OPC-UA, Modbus), and video streaming (RTSP).
• Experience with CI/CD pipelines, Kubernetes/Docker deployments, and infrastructure-as-code.

Responsibilities

• Partner directly with customers to understand requirements, scope solutions, and deliver production deployments across use cases.
• Lead technical discovery, architecture discussions, demos, and proof-of-concept builds with customers.
• Design and build full-stack applications and integrations that solve real customer problems, from prototype through production hand-off.
• Build and maintain backend services, APIs, and data flows powering real-time visualization and analytics.
• Extend our plugin architecture with frontend contributions as needed.
• Contribute to edge-side software where needed: sensor ingestion, buffering, on-device processing, and reliable transmission to the cloud.
• Develop and manage data processing pipelines with messaging systems (Kafka, RabbitMQ...).
• Support reliable delivery into customer environments through CI/CD, Kubernetes/Docker deployments, and infrastructure-as-code.
• Produce customer-facing technical documentation, runbooks, and internal templates for repeatable deployments.

Skills

TypeScript

Python

Rust

C++

API design

Kafka

MQTT

OPC-UA

Modbus

REST APIs

Streaming data

CI/CD

Kubernetes

Docker

Tools

Kubernetes

Docker

Infrastructure as Code

Job description

# Staff Solutions EngineerWe're looking for a highly motivated Solutions Engineer to join our Solutions organization, reporting to the Head of Solutions Engineering. This is a customer-facing, hands-on builder role: you'll work directly with customers to scope, design, and deliver production solutions on top of the Archetype AI platform — from initial discovery through deployment.You'll partner with Sales and Product on early customer engagements, then own the technical execution: building applications, integrations, and pipelines in real customer environments. This is a generalist role spanning the full stack, and we're especially interested in engineers who have shipped solutions end-to-end from edge devices to the cloud. Breadth and strong fundamentals matter more than any single specialty.You should be comfortable in front of customers — translating requirements, walking through architectures, and presenting results — while also being the person who writes the code, deploys the system, and makes it work in production. You communicate clearly, document effectively, and take ownership from concept through deployment.**Core Responsibilities**Partner directly with customers to understand requirements, scope solutions, and deliver production deployments across predictive maintenance, safety, and industrial IoT use cases.Lead technical discovery, architecture discussions, demos, and proof-of-concept builds with customers and prospects.Design and build full-stack applications and integrations that solve real customer problems, from prototype through production hand-off.Build and maintain backend services, APIs, and data flows that power real-time visualization and analytics in customer environments.Extend our plugin architecture (primarily backend, with frontend contributions as needed) following established design patterns.Implement protocol-level integrations: REST APIs, IoT connectivity (MQTT, OPC-UA, Modbus), streaming video (RTSP), and multi-sensor data flows.Contribute to edge-side software where needed: sensor ingestion, buffering, on-device processing, and reliable transmission to the cloud.Develop and manage data processing pipelines with messaging systems (Kafka, RabbitMQ, or similar).Support reliable delivery into customer environments through CI/CD, Kubernetes/Docker deployments, and infrastructure-as-code.Apply best engineering practices: testing, observability, versioning, and maintainability.Produce customer-facing technical documentation, runbooks, and internal templates that make successful deployments repeatable.**Required Qualifications**5+ years professional software engineering experience across client and server environments.Strong proficiency in TypeScript and Python, plus working proficiency in Rust or C++.Demonstrated experience designing and implementing scalable APIs, services, and integrations used by other engineers or applications.Experience developing within modular, plugin-based architectures with clear separation of concerns and well-defined interfaces.Experience with real-time or streaming data processing under latency and throughput constraints.Experience with Kafka or other messaging protocols and building data processing pipelines.Experience with communication protocols: REST APIs, IoT (MQTT, OPC-UA, Modbus), and video streaming (RTSP).**Preferred Qualifications**Experience developing and deploying software on resource-constrained Linux devices, with familiarity with system-level concerns such as resource usage, process management, and I/O.Experience taking solutions end-to-end, all the way to edge device deployments and launching cloud services in production.Startup or consulting experienceExperience with CI/CD pipelines, Kubernetes/Docker deployments, and infrastructure-as-code.Familiarity with front-end frameworks (Svelte, React, Tailwind) and data visualization libraries (e.g., D3.js, Recharts, Plotly) for building customer-facing demos.Experience building frameworks, SDKs, or internal developer tools that scale across teams.Background in industrial IoT, predictive maintenance, or safety/security applications.Familiarity with real-time data visualization and applied AI/ML.**Travel Expectation:**Open to stints of 1+ months of travel.We are partnering with Stratos Search on a specialist search for a senior engineer. The role is based in Palo Alto and offered as hybrid full-time work. Compensation is Competitive.Apply today.