Senior Solution Engineer

Stack

Responsibilities

• ▹Lead pre-sales opportunities: partner with the sales team to lead technical discovery, understand prospect requirements and position Kestra Enterprise effectively
• ▹Enterprise evaluations: own the Proof of Concept (POC) process and the POC success plan, advising on architecture, success criteria and flow design so prospects realise the value of Kestra in record time
• ▹Technical evangelism: demonstrate the technical advantages of a declarative, universal orchestrator and how it outshines legacy orchestrators
• ▹Full 360 ownership: support existing customers throughout their entire lifecycle, from initial onboarding and training to quarterly architectural reviews
• ▹Elite technical support: own escalations for Enterprise accounts; partner with the engineering team to diagnose complex issues and drive them to resolution, communicating clearly with customers, documenting learnings and building processes or automations to avoid these in future
• ▹Continuous product feedback: translate real-world customer friction into product requirements, acting as the Voice of the Customer to help prioritise the roadmap based on actual field data
• ▹Unblock and optimise: identify technical bottlenecks in customer environments and provide best-practice guidance on scaling, managing resources and securely running the platform
• ▹Expansion and use-cases: proactively find new internal use-cases for customers, helping them expand their Kestra footprint from data engineering to infrastructure automation, Agentic AI orchestration and more
• ▹Be an active member of the open-source community: advise users on Slack/GitHub and turn their feedback into product improvements
• ▹Represent Kestra at meetups, conferences and webinars; create technical content such as blogs, how-to videos and blueprints to help the ecosystem grow
• ▹Work closely with the core engineering team to prioritise features and resolve critical support issues in a timely fashion

Requirements

• ▹The hybrid skillset: an engineer's mind with a consultant's heart; you can code, but you also love talking to people
• ▹Deep experience in at least one of the following: Data Engineering (production-grade pipelines using tools like dbt, Spark, Snowflake or DuckDB); Infrastructure-as-Code / Platform Engineering (Terraform/OpenTofu, Kubernetes and CI/CD patterns); AI/MLOps (the lifecycle of LLMs, vector databases and the orchestration required to move models from notebook to production)
• ▹Problem solving: you don't just report bugs, you find workarounds and suggest long-term architectural fixes
• ▹Communication: ability to explain complex infrastructure concepts to both a CTO and a Junior Data Analyst

Nice to have

• ▹Experience with data/orchestration tools like Airflow, Prefect or Dagster is a huge plus; you understand the pain of orchestration

Soft skills

What we offer

• ▹Remote-first: work from anywhere with a flexible schedule
• ▹High impact: one of the first hires in the department, helping define the Field Engineering playbook
• ▹Open source: your work is visible and impactful to thousands of users globally
• ▹Modern stack: the latest in cloud-native technologies, AI agents and high-performance orchestration

About the company

Kestra is an open-source declarative orchestration platform that simplifies complex data workflows and business processes. In March 2026 the company closed a $25M Series A led by RTP Global, backed by founders from Datadog, dbt Labs and Hugging Face.