Software Engineer

About the position

As a Software Engineer at Lansweeper, you will play a key role in designing and developing innovative solutions that enhance our IT asset management platform. You'll work within a collaborative, cross-functional team to build scalable, secure, and high-performing features that deliver value to our global customer base. Your contributions will help drive Lansweeper's mission to provide actionable insights through powerful asset discovery and data intelligence. This role is ideal for someone who is curious, adaptable, and excited about working on impactful technology in a fast-paced environment.

Responsibilities

• Gather input from customers and create a deployment process that allows customers to install our software on their environment
• Implement new functionalities and fixes for a cloud-based system
• Continuously optimize and strive for an efficient functioning of the software
• Advise on advanced technical challenges
• Work in an agile team
• Participate in code reviews and support new releases
• Progress in your career by continuously learning and expanding your skillset

Requirements

• Has a user-centred mindset
• Is familiar with Agile methodologies
• Is dynamic, committed, hands-on and passionate
• Has an eye for quality and structure
• Is able to work autonomously and balances this with great cross-team collaboration
• Is located in Austin or Montréal
• Has a Computer engineering degree or higher and/or +5 years of relevant experience
• Proven track record of frontend and backend software development
• Strong grasp of the English language
• Profound knowledge of Rust & Shell scripting

Nice-to-haves

• Exposure to Go, Spark, TypeScript, GraphQL
• Knowledge of networks and the underlying hardware infrastructure
• Experience in web services and/or API development for cloud native deployments
• Skilled in some of the tools we use (GitHub, CircleCI, Jira, Confluence)
• Familiar with Kubernetes, Terraform, AWS, Kafka, Hadoop, Spark
• Familiar with Parquet, Hive, ClickHouse, DuckDB
• Experienced in high-quality, testable code (such as: Mockito, Testcontainers, Localstack, Jacoco, Pytest)
• Knowledge about Google protocol buffers, gRPC, AVRO, JSON
• Knowledge of MLOps practices and/or LLM architectures