May 8, 2026
Revenue Operations Engineer
Mid • Remote
4,000 - 5,500 EUR/mo
Warsaw, Poland
💰 Salary: €4000 - €5,500 per month, depending on experience
🕦 Full-time
☑️ EOR
🌴 Remote
We are looking for a Revenue Operations Engineer to join a fast-growing open-source cybersecurity company's engineering team. The role sits at the crossroads of web engineering and go-to-market tooling, owning both the public-facing website and the integrations that power the revenue and customer lifecycle stack.
Requirements
3+ years of hands-on software engineering experience with web applications and/or SaaS integrations
Strong proficiency in JavaScript, React, and Next.js
Solid command of HTML and CSS, semantics, accessibility, and responsive design
Proven experience connecting SaaS tools through workflow orchestrators (e.g. N8N or equivalent)
Hands-on experience with CRM platforms, subscription billing tools, and their APIs and webhook systems
Comfortable building and deploying serverless or cloud functions (e.g. Google Cloud Functions, Cloud Run, or similar)
Strong grasp of web security fundamentals — authentication, authorization, and secrets management
Experience working with REST/JSON APIs and asynchronous data flows
Familiarity with component libraries or design systems (e.g. Storybook)
Key Responsibilities
Build and maintain a marketing and documentation website built on Next.js, translating design specs into production-ready React components
Ensure all public-facing pages meet high standards for performance, accessibility, SEO, and security
Design and implement integrations and automations connecting the website to the company's GTM and billing stack
Maintain clean, consistent data flows across the full customer lifecycle, from lead capture through billing and support
Build internal tooling and automations that reduce manual work for marketing, sales, and customer success teams
Apply security and privacy best practices across all web and integration work, least privilege, proper secrets handling, consent-aware data collection
Collaborate with non-technical stakeholders to scope, prioritize, and deliver automation and tooling projects
Document architectures, integration flows, and edge cases so the broader team can build on your work
Get to know DevsData: We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com/
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Warsaw, Poland
45 - 65 USD/hr
🏢 Summary: Senior Data-oriented SRE to design, build and operate a scalable data platform and core infrastructure for large-scale data processing in a cloud environment. The role focuses on developing distributed systems, ETL frameworks and production-grade services rather than individual pipelines. Long-term B2B contract, fully remote with NYC time zone overlap. 🗂️ Requirements: Senior experience in Data Platform Engineering or SRE, Strong software engineering skills with Python, Experience building ETL and stream processing frameworks, Hands-on experience with Kafka, Spark or Flink, Strong SQL knowledge and experience with relational or analytical databases, Production experience with AWS or GCP, Experience with Kubernetes and Linux in production, Experience managing large-scale distributed systems, Strong DevOps and automation skills 📃 Skills: Python, AWS, GCP, Kafka, Spark, Flink, Airflow, Prefect, SQL, MySQL, PostgreSQL, SQLServer, Snowflake, Redshift, Presto, Kubernetes, Linux, S3, GCS, EC2, GCE, IAM, Docker, ETL, DevOps 🏢 Description: 📍 Work mode: 100% Remote in NYC time zone (at least 5/6 hours of overlap with NYC) 🕒 Contract type: B2B 💼 Experience level: Senior 💰 Rate: 40-65 $ net + VAT / hour ⏳ Start date: ideally ASAP 📆 Project length: Long-term cooperation About the role: We are looking for a Data-oriented SRE to help build and operate the core infrastructure that powers our data ecosystem. This role focuses on building tools, services and frameworks for data engineers and data scientists , rather than developing individual ETL pipelines. You will work on the platform layer of the data stack , designing and maintaining distributed systems, data processing frameworks and the infrastructure that enables large-scale data processing. Job responsibilities: Build and run data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, Spark, databases and containers Develop data platform based on open source software and Cloud services Build and run ETL tools and frameworks to onboard data into the platform, define schema, build DAG processing pipelines and monitor data quality. Help develop machine learning development framework and pipelines Manage and run mission crucial production services. Skills: Experience as Data Platform Engineering or SRE Strong software engineering experience and working with Python. Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect, etc. Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc. Experience with using AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.), Kubernetes and Linux in production. Strong proclivity for automation and DevOps practices Experience with managing increasing data volume, velocity and variety Agile, self-starter and is focused on getting things done. Strong communicator Nice to have: Familiarity with data science stack: e.g. Jupyter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc. Financial Services experience