Senior Software Engineer - Python/GO

BlackLine SaaS is the system of interaction for finance and accounting teams and it integrates with numerous ERPs, CRMs, Payment systems, Point of Sale systems and other applications.

As a Senior Software Engineer, you will play a crucial role in building the next generation of BlackLine application. You will be driving innovation into our product suite by designing, developing, troubleshooting, maintaining, optimizing and scaling cloud-based applications and services. In addition to being a hands-on engineer, you will also lead and mentor other engineers in the team.

If you have a passion for delivering products that make a difference, are driven to make things better in all that you do and are eager to work in a collaborative agile environment where developers are dedicated to solving customer problems and innovating, we would love to talk to you.

Responsibilities

Provide deep technical expertise in requirements analysis, system design, effort estimation, development, testing, and delivery of highly scalable, secure, and resilient distributed backend services.

Work closely with product managers, architects, and partner engineering teams to translate both explicit and implicit product needs into robust functional and technical specifications.

Maintain a strong sense of business value and ROI while making engineering decisions and proposing design or architectural approaches.

Lead and influence architecture discussions, driving technical decisions and trade-offs across technology choices, performance, extensibility, reliability, and modernization goals.

Estimate work scope accurately and deliver consistently against commitments.

Implement, refine, and enforce engineering best practices to ensure that services meet high standards for performance, security, observability, reliability, and maintainability.

Research, prototype, benchmark, and adopt emerging technologies—particularly in Go and Python—to evolve the backend platform and support the organization's modernization roadmap.

Write clean, idiomatic, testable, and maintainable code primarily in Go and Python, with an emphasis on concurrency, performance optimization, and production-readiness.

Contribute to the migration and modernization of existing .NET/C# services into Go/Python-based microservices or cloud-native platforms.

Mentor and coach engineers by providing guidance on design patterns, code quality, observability, performance optimization, and system-level thinking.

Identify system bottlenecks, technical debt, reliability gaps, or operational inefficiencies, and drive or advocate for continuous improvements.

Support release management, deployments, observability improvements, and production operations, including occasional off-hours support as needed.

Qualifications

Technical / Specialized Knowledge, Skills & Abilities

Strong hands-on experience with Go and Python, including:

Building concurrent, performant, production-grade Go services using goroutines, channels, and Go’s native concurrency model.

Designing Python-based microservices, automation frameworks, backend workflows, or platform tools with emphasis on robustness and maintainability.

Experience with Go module management, Python packaging, virtual environments, dependency management, and application structuring.

Developing RESTful or gRPC APIs and distributed service components using Go or Python.

Experience building web-scale, highly available, multi-tenant SaaS platforms with strong emphasis on backend architecture, distributed systems, and microservices.

Experience with C# and .NET Framework / .NET Core is a plus, especially in:

Maintaining, extending, or refactoring existing codebases.

Supporting modernization efforts for legacy .NET/C# services transitioning into Go/Python-based systems.

Cloud & Data Skills

Experience with a major public cloud (AWS, Azure, or GCP) and strong understanding of cloud-native architectures, IAM, networking, and managed services.

In-depth experience with SQL, relational database schema design, transactional flows, and query/profile optimization.

Systems & Architecture

Strong foundation in computer science fundamentals: data structures, algorithms, design patterns, concurrency models, and distributed systems concepts.

Experience with one or more supporting ecosystem components:

API gateways

Identity and access management (OAuth2, OIDC)

Messaging systems (Kafka, RabbitMQ)

Workflow orchestration / job scheduling engines

Distributed caching or search systems, etc.

Excellent analytical, problem-solving, and system-level thinking capabilities.

Strong written and verbal communication skills, able to articulate designs and trade-offs clearly.

Collaborative team player with a focus on delivering value and outcomes.

Experience working in Agile/Scrum environments.

Passion for engineering excellence through automation, CI/CD, unit testing, and continuous improvement.

Salary Range

-

Employee Referral Bonus Amount

$1,000

Regular