--- title: 'QA Engineer at Kestra Technologies' canonical: 'https://feeny.ai/job/qa-engineer-kestra-technologies-europe-3md2107t81e9' type: 'job' last_seen: '2026-09-11' --- # QA Engineer at Kestra Technologies - **Company:** Kestra Technologies - **Location:** Europe - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-06 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/kestra/ab3944cd-1cdd-43ea-a757-a52646bb7a7b ## Job description ## About Kestra [Kestra](http://www.kestra.io/) is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission critical workloads at scale. The [open source project](https://github.com/kestra-io/kestra) has close to 30,000 GitHub stars, hundreds of contributors, and a rapidly growing global community. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo, backed by founders from Datadog, dbt Labs, and Hugging Face. ## The Role We're looking for a QA Engineer based in India or Europe to ensure the quality and reliability of Kestra's platform across both the open source and Enterprise editions. A key part of this role involves working directly with customer support tickets: understanding reported issues, reproducing them in local or staging environments, and verifying fixes before they ship. You'll be the bridge between what customers experience and what the engineering team delivers. This is a fully remote position. We're hiring from India and Europe for timezone alignment with the broader team. ## What You'll Do - Review and analyze customer support tickets to understand reported issues, extract reproduction steps, and translate problems reported by customers into actionable bug reports for the engineering team. - Reproduce bugs reported by customers across different environments and configurations, ensuring the engineering team has the context they need to fix issues efficiently. - Design, write, and maintain test plans and test cases covering both the open source platform and Enterprise Edition features. - Perform manual and exploratory testing for new features and regression testing for existing functionality across each release cycle. - Collaborate with engineers to define acceptance criteria, identify edge cases, and validate fixes before release. - Contribute to building and improving automated test coverage where applicable. - Track and report on quality metrics, test coverage, and recurring issue patterns to help the team prioritize improvements. ## What We're Looking For - Experience in software QA with a strong foundation in both manual and automated testing methodologies. - Ability to read and interpret customer support tickets, often with incomplete information, and systematically reproduce issues. This is central to the role. - Knowledge of the basics of Linux. You're comfortable navigating the command line, managing files and processes, and working in a Linux environment. - Hands on experience with Claude Code for everyday engineering and testing work. - Familiarity with infrastructure and orchestration concepts: Docker, Kubernetes, CI/CD pipelines, or workflow automation tools. You'll need this context to test effectively. - Comfortable working with APIs, reading logs, and navigating distributed systems to trace issues. - Experience writing automated tests (for instance, in Java, Python, or TypeScript) and working with test frameworks. - Strong written communication in English. You'll collaborate with a globally distributed team and document issues clearly. - Self directed and detail oriented. You can prioritize across incoming support issues and planned test cycles without heavy oversight. Bonus Points - Past experience in a QA role that involved direct interaction with issues reported by customers or support escalations. - Experience with open source software or B2B SaaS platforms. - Familiarity with orchestration or workflow tools (Airflow, n8n, Terraform, Ansible, or similar). - Experience with Playwright and agent-browser for browser based and automated testing. - Experience with performance testing or load testing for distributed systems. - Knowledge of Java (Kestra's core is written in Java). ## What You Get - Real ownership in a globally distributed, technical team. - Direct exposure to product strategy and company priorities. - A product used for mission critical workloads, not demos. - Competitive compensation, equity, and health insurance. ## About Kestra Technologies ## Company Overview - **One-liner**: Kestra is the open-source declarative orchestration platform for data, AI, and infrastructure workflows, designed to unify automation across any language and infrastructure. - **Entity Type**: Private (Series A) - **Headquarters**: Paris, France - **Founded**: 2021 - **Founders**: Emmanuel Darras (CEO), Ludovic Dehon (CTO) ## Core Business - **Primary industry/industries**: Workflow Orchestration, Data Infrastructure, Developer Tools, AI Operations - **Target customers**: B2B – Data engineers, platform engineers, software engineers, and enterprise IT teams - **Mission or purpose statement**: "Unify orchestration for all engineers. Build, run and govern all your workflows — data, AI, infrastructure, and business — Everything-as-Code, from the UI and with AI." ## Products & Services - **Kestra Open Source**: A free, self-hosted orchestration engine (Apache 2.0 license) that runs on Docker or Kubernetes. Workflows are defined in declarative YAML, support any language (Python, Bash, Node.js, Go, containers), and connect to 1,600+ plugins. - **Kestra Cloud**: A fully managed SaaS version of the platform, offering fast time-to-value with pay-as-you-go pricing. - **Kestra Enterprise Edition**: Built for critical environments with SSO, RBAC, audit logs, multi-tenancy, isolated workers, SLA-backed support, and hybrid deployment (cloud, on-prem, air-gapped). Includes AI Copilot for natural-language workflow generation and agentic orchestration. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of $36M across three rounds (Pre-Seed $3M, Seed $8M, Series A $25M) - **Notable Investors**: RTP Global (led Series A), Alven (led Seed round), and a roster of prominent angel investors including Clément Delangue (CEO, Hugging Face), Nicolas Dessaigne (Founder, Algolia / YC Partner), Olivier Pomel (CEO, Datadog), Tristan Handy (CEO, dbt Labs), Michel Tricot (CEO, Airbyte), Pierre Burgy (CEO, Strapi), Bertrand Diard (Co-Founder, Talend), Stijn Christiaens (Co-Founder, Collibra), and Frédéric Plais (CEO, Platform.sh). - **Growth Signals**: 10x year-over-year growth in adoption and workflow volume; 48.8% headcount growth YoY (46 employees as of mid-2025); 24 active job postings; team distributed across 10 countries. ## Competitive Advantages - **Unified orchestration**: Replaces multiple legacy tools (Airflow, Prefect, Dagster, CI/CD schedulers, cron) with a single platform for data, AI, and infrastructure workflows – reducing tooling cost by up to 90%. - **Declarative YAML + UI**: Workflows are version-controlled YAML, but can also be built in a UI (no-code forms) – both stay in sync, enabling collaboration between developers and non-developers. - **AI-native**: Built-in production AI Copilot generates/refines workflows from natural language, and AI Agents with memory and tools can dynamically adapt execution. - **API-first / CI/CD native**: Fully programmable via API and Terraform, enabling Git-driven CI/CD for workflow deployment. - **Enterprise governance**: Retries, timeouts, SLAs, RBAC, audit logs, SOC 2, and isolated task runners – built for production reliability. ## Strategic Focus - **Agentic automation**: Deepening AI-native capabilities with context-aware agents that can loop, adapt, and make decisions mid-workflow. - **Enterprise adoption**: Scaling the Enterprise Edition with enhanced governance, multi-tenancy, and hybrid/air-gapped deployments for regulated industries (banking, defense, healthcare). - **Ecosystem expansion**: Growing the plugin library (1,600+) and blueprints (250+) to connect with more data, cloud, and SaaS tools. - **Global team growth**: Hiring aggressively (24 open roles) across engineering, sales, customer operations, and marketing, with a remote-first, distributed structure. ## Why Work Here - **Remote-first**: Fully distributed team – work from anywhere (employees in 10 countries including France, US, UK, Germany, India, Serbia, Spain, Slovenia, Nigeria, Ireland). - **Flexible hours**: "Flexibility in schedule to be there for life’s important moments" – strong emphasis on work/life balance with a generous vacation policy. - **Comprehensive benefits**: Premium medical, dental, and vision coverage for employees and dependents; hardware/software costs covered; home office or coworking space budget. - **Engineering culture**: Open-source, developer-first ethos with a flat, transparent team. High autonomy and ownership – "empower engineers to orchestrate any workflow, in any language, on any infrastructure." - **Growth trajectory**: Fast-growing startup (10x YoY adoption, 48.8% headcount growth) – opportunity to shape the product and culture early. Backed by top-tier founders and VCs. - **High-impact roles**: Currently hiring for Lead Java Engineer, Senior Full-Stack Engineer, Head of Sales, Developer Advocate, Product Manager, QA Engineer, and more. ## Sources 1. [kestra.io](https://kestra.io/) 2. [kestra.io/about-us](https://kestra.io/about-us) 3. [kestra.io/careers](https://kestra.io/careers) 4. [jobs.ashbyhq.com/kestra](https://jobs.ashbyhq.com/kestra) 5. [linkedin.com/company/kestra](https://www.linkedin.com/company/kestra) 6. [TechCrunch: Kestra raises $8M seed](https://techcrunch.com/2024/09/23/kestra-is-an-open-source-data-orchestration-platform-for-complex-workflows/) 7. [TechCrunch: Kestra raises $25M Series A](https://techcrunch.com/2026/03/01/kestra-raises-another-8m-for-its-open-source-orchestration-platform/) ## Other roles at Kestra Technologies - [Full Stack Engineer, Data Orchestration](https://feeny.ai/job/full-stack-engineer-data-orchestration-kestra-technologies-europe-a9xx27m6hbym) — Europe - [Product Manager, Data Orchestration](https://feeny.ai/job/product-manager-data-orchestration-kestra-technologies-europe-ggxf97893ce8) — Europe - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-kestra-technologies-europe-j66v6nmas2h6) — Europe - [Product Manager, AI](https://feeny.ai/job/product-manager-ai-kestra-technologies-europe-x8t59dn8y2k1) — Europe - [Senior Backend Engineer, AI Orchestration](https://feeny.ai/job/senior-backend-engineer-ai-orchestration-kestra-technologies-europe-rkmnje8xc3d0) — Europe - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-kestra-technologies-united-states-cgsewkkhsqb6) — United States - [Account Executive](https://feeny.ai/job/account-executive-kestra-technologies-germany-3sxgjap45azn) — Germany - [Senior Solution Engineer](https://feeny.ai/job/senior-solution-engineer-kestra-technologies-france-61gm0vr5w0wv) — France - [Senior Business Development Representative](https://feeny.ai/job/senior-business-development-representative-kestra-technologies-united-states-xt750qc2b918) — United States - [QA Engineer](https://feeny.ai/job/qa-engineer-pingwind-fort-knox-2db5nx01z38d) — Fort Knox, KY