Senior Software Engineer

About the role

BlackLine SaaS is the system of interaction for finance and accounting teams, integrating with ERPs, CRMs, payment systems and point-of-sale systems. As a Senior Software Engineer in Mexico City, you will design, develop, troubleshoot, maintain, optimize and scale BlackLine's cloud-based backend services, collaborate with other teams to define and build new features, and communicate with people at all levels.

Key responsibilities

• Design, develop and deliver product features on time, following coding standards, requirements and quality.
• Implement and enforce software development techniques so features meet integration, performance, security and maintainability expectations.
• Maintain high standards of quality by establishing good practices and writing clean, testable, maintainable and secure code.
• Mentor and coach junior team members and act as an agent of change for a quality-first culture.
• Identify issues, bottlenecks and opportunities and advocate for change with peers and leadership.
• Perform maintenance, deployment and release support, including occasional off-hours support.

Required profile

• Bachelor's degree in Computer Science, Software Engineering or a related field; Master's degree is a plus.
• 6+ years of experience designing and operating distributed systems or high-availability, high-throughput production systems.
• Experience with microservices architectures, RESTful APIs and backend services.
• Proficiency in one or more backend languages.NET (C#), Java or Python.
• Deep understanding of event-driven design and domain-driven design.
• Ability to mentor junior engineers through design and code reviews.

Required skills

• GCP services (Cloud Storage, GKE, Cloud Functions, Pub/Sub) and Terraform as infrastructure-as-code.
• Terraform integrated with CI/CD pipelines (GitHub Actions, Cloud Build) following GitOps.
• Docker and Kubernetes.
• SQL Server, PostgreSQL, Snowflake and NoSQL databases; Apache Kafka or similar event streaming platforms.
• CI/CD pipelines, Git workflows and automated testing (unit, integration, end-to-end); TDD or BDD is a plus.
• Knowledge of secure coding, performance optimization and system resiliency.
• Use of AI coding assistants (GitHub Copilot, Cursor, Claude) and ability to design agentic AI features.

Preferred: Google Professional Cloud Developer or AWS Certified Solutions Architect certification, familiarity with generative/Agentic AI on GCP, React, multi-cloud or hybrid cloud, RAG pipelines, LangChain/LlamaIndex or vector databases. Candidates living within a reasonable commute work at least 3 days a week in the office.