Staff II Software Engineer

Get to Know Us: It’s fun to work in a company where people truly believe in what they’re doing!

At BlackLine, we’re committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

Work, Play and Grow at BlackLine!

Make Your Mark: We are looking for an accomplished, deeply hands-on Senior Staff Engineer with 15+ years of software engineering experience and a focused track record in Agentic AI,Generative AI systems and Software/Data engineering. This is a senior individual contributor role that combines architectural leadership with direct execution — you will drive the design and delivery while simultaneously guiding and unblocking a team of Staff Engineers and Technical Leads.

The ideal candidate has independently driven 3–4 end-to-end AI implementations — from requirements gathering and solution design through to production deployment — and is equally comfortable whiteboarding complex multi-agent architectures and writing production-grade Python. You bring the experience to set the technical direction, the judgment to make critical architecture decisions, and the hands-on depth to get into the code when the team needs unblocking.

This role demands breadth and depth across the stack: you will architect scalable AI systems, build and orchestrate intelligent agents, embed robust agent governance frameworks, and establish the engineering standards that make those agents enterprise-ready for a secure and compliant financial platform.

You’ll Get To:

• Own 3–4 complete AI delivery cycles: discovery, requirements, solution design, build, test, and production deployment on GCP or any cloud.
• Translate ambiguous business problems into concrete solutions with clear success metrics.
• Define and manage delivery milestones across cross-functional stakeholders including Finance, Compliance, and Platform Engineering.

• Lead architecture decision records (ADRs), design reviews, code reviews, and production readiness assessments.

• Set quality bars for the team: performance benchmarks, eval thresholds, observability standards, and security posture.

• This role carries explicit responsibility for the technical growth and day-to-day unblocking of Staff Engineers and Technical Leads working across the Agentic AI platform.

• Architecture Decomposition: Break down the platform into clear workstreams and assign ownership to Staff Engineers with explicit API contracts and interface definitions.
• Hands-on Unblocking: When Staff Engineers or Tech Leads are stuck on system design decisions, integration challenges, or production issues — step in directly with code, design sketches, or paired debugging sessions. This is not a review-only role.
• Design Guidance: Review component-level designs proposed by Staff Engineers, identify gaps in governance, observability, or compliance thinking, and guide them to better solutions without simply overriding.
• Standards Setting: Define and document engineering standards for the agentic AI domain: agent identity patterns, audit trail requirements, HITL design principles, Kafka topic design, and eval harness setup.
• Mentorship: Run architecture working sessions, design clinics, and 1:1 coaching with Staff Engineers and Technical Leads to build their depth in agent governance and FinTech compliance patterns.
• Cross-Team Influence: Align architecture decisions across Engineering, Security, Compliance, and Data Platform teams. Represent the AI Platform in cross-functional technical forums.
• Architect the Agentic AI System: agent registry, policy engine, metrics ingestion pipeline, anomaly detection, and HITL orchestration.
• Design multi-agent pipelines with clear trust …