3 дня назад
Senior Software Engineer (AI)
135 400 - 201 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI/Data Pipelines): Building scalable cloud-hosted asset discovery, ingestion, transformation, and normalization pipelines plus low-code/no-code integrations for Universal Asset Insights with an accent on network visibility, extensibility, and reliability. Focus on designing platform components, productizing MCP servers and agents, and applying agentic AI across software development and product capabilities.
Location: Hybrid role in Tacoma, Washington, United States
Base salary: $135,400–$201,850 annually, plus annual bonus.
Company
develops cloud-first networking and security solutions, including Universal Asset Insights for discovering and analyzing assets across public clouds, on-premises networks, IoT/OT devices, and third-party applications.
What you will do
- Design and develop scalable, reliable cloud-hosted data ingestion, transformation, normalization, and persistence pipelines.
- Build extensible low-code/no-code integration frameworks for customer and partner asset sources.
- Lead cross-functional and global engineering collaboration on reusable platform components.
- Apply agentic and AI platforms across design, development, QA, automation, deployment, observability, maintenance, and troubleshooting.
- Build and productize MCP servers, agents, sub-agents, and skills for core product capabilities.
- Provide technical leadership for scalable software architecture and collaborate with Product Management and Marketing on roadmap and documentation.
Requirements
- 8+ years of software development experience with Go, Java, C++, or C.
- 8+ years building large-scale SaaS network management, ETL, asset management, or data-pipeline systems.
- Experience with microservices, Docker, Kubernetes, Kafka, APIs, data modeling, and system architecture.
- Understanding of relational, time-series, NoSQL, and graph databases, plus performance engineering and production incident resolution.
- Hands-on experience with agentic and AI-driven frameworks, including agents, sub-agents, MCP servers, and skills.
- Bachelor’s degree in computer science, computer engineering, or electrical engineering required; a master’s degree is preferred.
Nice to have
- Knowledge of switching, routing, security, DNS, DHCP, IPAM, CTEM, CAASM, or ITSM.
- Experience with no-code/low-code remediation, data transformation, ETL, or asset insights.
- Master’s degree in a relevant engineering or computer science field.
Culture & Benefits
- Flexible work options, comprehensive health coverage, and generous paid time off.
- Learning opportunities, career-mobility programs, leadership workshops, and employee resource groups.
- Sixteen paid volunteer hours annually and a charitable giving program with company match.
- Modern offices with EV charging, snacks, hackathons, game nights, and culture celebrations.
- Inclusive workplace with pay transparency and performance-based rewards.
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