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BlackLine

Cloud-based SaaS for financial close

Staff 2 Software Engineer - C#, Python

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in computer science or a related field.
  • At least 15 years of software engineering experience with broad distributed-systems depth across enterprise platforms.
  • A proven track record of guiding and unblocking Staff Engineers and Technical Leads, setting architecture direction, reviewing designs, and stepping in hands-on when needed.
  • Demonstrated experience architecting and deploying complex, production-grade systems at scale, ideally in regulated industries such as FinTech, Financial Services, or Healthcare.
  • Hands-on expertise with .NET, C#, Python, SQL Server, and Snowflake.
  • Comfort operating at 90% or more hands-on design and implementation.
  • Proficiency leveraging AI-powered coding assistants such as Claude and Cursor to accelerate development, generate optimized code, and troubleshoot complex challenges.
  • Strong grounding in observability and production monitoring, including metrics, logging, distributed tracing, and dashboarding.

Responsibilities

  • Own end-to-end architecture and build highly extensible, modular applications; drive the long-term evolution of the platform.
  • Architect the agentic AI system end to end, including agent registry, policy engine, metrics ingestion pipeline, anomaly detection, and human-in-the-loop orchestration.
  • Stay deeply hands-on by stepping in with code, design sketches, or paired debugging when Staff Engineers or Technical Leads are blocked on system design, integration challenges, or production issues.
  • Fine-tune, prompt-engineer, and evaluate foundation models such as Gemini, GPT, and Claude for accounting-domain tasks such as variance explanation.
  • Run architecture working sessions, design clinics, and one-to-one coaching with Staff Engineers and Technical Leads to build their depth in agent governance and FinTech compliance patterns.
  • Set architecture direction and raise engineering standards through design reviews and hands-on mentorship.
  • Align architecture decisions across Engineering, Security, Compliance, and Data Platform teams, and represent the AI Platform in cross-functional technical forums.
  • Present technical proposals, architecture trade-offs, and risk assessments to senior leadership and key stakeholders.
  • Establish first-class observability across the product platform, including structured logging, distributed tracing, metrics, and dashboards.
  • Own the platform release strategy, including CI/CD pipelines, progressive delivery with feature flags, canary and blue-green releases, automated quality gates, and safe rollback paths for agent and model deployments.
  • Drive production readiness and operational excellence through runbooks, incident response, on-call practices, and post-incident reviews that reduce MTTR and harden the platform.

Desired Qualifications

  • FinTech or Financial Services domain background.
  • Experience with Google Vertex AI Agent Builder or similar managed agent platforms.
  • Working knowledge of Python.
  • Experience building, orchestrating, or governing AI agents and/or GenAI systems, including prompt engineering, model evaluation, and safety/guardrail patterns.
  • Familiarity with DORA metrics and data-driven delivery improvement, and experience instrumenting release/deployment pipelines for measurable impact.

About the Company

BlackLine

Cloud-based SaaS for financial close

BlackLine provides cloud-based financial automation tools for finance and accounting teams to automate and streamline the financial close process. It uses a SaaS platform that customers access via a subscription, with pricing based on users or transaction volumes, plus optional professional services for implementation and optimization. The product helps organizations automate tasks, enforce internal controls, and standardize close activities across multinational enterprises. Its goal is to improve efficiency, accuracy, and compliance in financial operations while generating steady recurring revenue through subscriptions and services.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
2001

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