We’re looking for a Software Engineer with experience in cloud infrastructure and a strong interest in big data systems. You will be a member of our Data Platform Infrastructure team in Warsaw, responsible for systems that move, store, and govern Asana’s data.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

• Our employees in Poland are employed under a contract of employment.
• The Role & Tech Stack
• The Data Infrastructure teams build and own the entire lifecycle of data - from Asana’s product surfaces to the analytical warehouse and back:
• Provisioning and scaling AWS and Databricks environments
• Building and maintaining ingestion systems that sync data from Asana’s product surfaces into our data lake
• Developing orchestration frameworks to simplify pipeline development and testing for other engineering teams
• Creating attribution and reporting systems to provide visibility into platform spend and resource usage
• What you'll achieve:
• Write production code for backend and infrastructure services that support data reliability and timeliness
• Build internal CLI tools or APIs that allow Data Consumers to self-serve infrastructure without needing deep AWS knowledge
• Lead end-to-end projects, from scoping and design through to rollout, working across multiple data infrastructure teams
• About you:

Software Engineering or Data Engineering background - you’re comfortable writing production code, designing systems or working with Data stack. We use AWS, Databricks, Spark, Python, Scala, but care more about engineering fundamentals than specific domain experience.

• 4+ years of experience designing and implementing production code for backend, infrastructure, data systems.
• Experience with major cloud platforms (AWS, GCP, or Azure), Terraform, and monitoring tooling like Datadog, Grafana or similar.
• Familiarity with distributed data processing systems (e.g. Databricks, Spark, Snowflake or similar systems).
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

• What we’ll offer :
• Generous, transparent and fair compensation system
• Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles)
• Health insurance with dental and travel coverage (Lux Med)
• Meals reimbursement on the days that you work from the office
• Career growth budget
• Home office setup budget
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 23,667 PLN - 32,917 PLN gross per month (subject to all taxes and necessary deductions) . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. #LI-Hybrid #LI-KM2 About us

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

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