Staff Software Engineer (Product + Platform Development)

Red Cell Partners

Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.; Contribute to both the core platform and customer-specific integrations: build reusable capabilities into the product…

Posted 7/24/2026Verified active Jul 25, 2026, 12:33 AMfull-timeSeattle • Oregon, Virginia, Washington • 🇺🇸 United StatesSeniorLead💰 $180,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrated expertise in software engineering with a focus on building and deploying AI-enabled applications and integrations. Proven ability to translate customer needs into technical solutions while ensuring system reliability, scalability, and security in complex environments.

Highest-signal resume keywords

8+ Years of Software Engineering ExperienceAI and ML Techniques ApplicationScalable System DesignBackend Engineering and Distributed SystemsStrong Technical Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI TechniquesML TechniquesLLM-based ApproachesBackend EngineeringAPIsData PipelinesCloud InfrastructureFull Stack DevelopmentDebuggingSystem Design

Soft Skills

Technical CommunicationHigh OwnershipBias for ActionProblem-SolvingJudgment in Sensitive Environments

Tools & Technologies

Cloud InfrastructureIntegration SystemsObservability ToolsDeployment WorkflowsData Sources

Industry Keywords

Production-quality SystemsCustomer IntegrationsOperational ConstraintsWorkflow AutomationSensitive Data Management

Tech Stack

Tools & technologies

AwsAzureCloudDistributed systemsDistributed SystemsDockerKubernetesTerraform

About the role

Key responsibilities & impact

Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.
Contribute to both the core platform and customer-specific integrations: build reusable capabilities into the product, then adapt and deploy them in each customer's environment.
Build and deploy AI-enabled applications, agents, and workflow automation, applying AI/ML and LLM techniques such as RAG, guardrails, and evals to deliver reliable customer solutions.
Translate customer needs into technical requirements, implementation plans, and product feedback for the core engineering team.
Own delivery from prototype through production, including architecture, backend services, APIs, integrations, observability, testing, deployment, and customer acceptance.
Integrate with customer systems, data sources, identity providers, and cloud or on-prem infrastructure.
Partner with product, engineering, security, and customer teams to ensure solutions are secure, reliable, auditable, and operationally useful.
Debug issues in deployed environments and drive fast resolution across application, infrastructure, data, and integration layers.
Operate with strong judgment in environments involving sensitive data and business-critical workflows.

Requirements

What you’ll need

8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems.
Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems.
Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow.
Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems.
Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows.
Ability to operate in ambiguous customer environments and turn unclear requirements into working software.
Strong technical communication skills with engineers, product teams, executives, and customer stakeholders.
High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements.
Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems.
Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer.

Benefits

Comp & perks

Career track opportunity with potential for rapid advancement with strong performance as the firm grows 
100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning.
Optional 401K, FSA, and equity incentives available.
Mental health benefits are available through&nbsp
Tara Mind .