June 30, 2026
Senior Performance Test Engineer
Senior • Remote
Wroclaw, Poland
DataWalk is a high-tech software product company that brings the next level of technology to the world through a patent-based hybrid graph analytical platform. Our system is used by US Departments, Intelligence Agencies, and top Fortune500 companies to combat money laundering, fraud, human trafficking, terrorism or organized crime. If you are interested in making the world a safer place and leverage a unique business opportunity, please read further.
We are looking for an experienced Senior Performance Test Engineer to join our Product Engineering Team.
As a Senior Performance Test Engineer at DataWalk, you will be ensuring our platform delivers optimal performance at massive scale for top Fortune500 companies and other major organizations processing hundreds of billions of objects and terabytes to petabytes of data. This role demands extraordinary analytical and technical expertise to proactively discover optimal system configurations, design and maintain complex performance test scenarios, tune infrastructure and application layers, and manage test environments on Kubernetes. You will maintain CI/CD pipelines powering our performance testing process and drive the adoption of AI-assisted scripting practices to elevate our testing productivity. We foster a culture of continuous growth, encouraging you to explore and implement new tools and practices, shifting the team's focus from reactive test execution to proactive performance optimization across the entire product. This is a chance to be a part of a company that's challenging the status quo in data analysis, offering a demanding but stimulating and rewarding environment for passionate performance engineering professionals.
Responsibilities:
Design, develop, and maintain complex performance test scenarios for a BigData platform processing hundreds of billions of objects at terabyte-to-petabyte scale.
Analyze test results, identify bottlenecks, and recommend tuning strategies for infrastructure and application layers.
Develop and maintain CI/CD pipelines for performance testing (Jenkins, Groovy).
Drive performance enablement across the entire Product Engineering.
Manage test environments on Kubernetes clusters (OKE, EKS).
Document findings, provide recommendations, and communicate results to stakeholders.
Requirements:
Have 5+ years of experience in performance engineering (preferably in a product company).
Have hands-on experience designing and maintaining complex performance test scenarios using tools such as JMeter, Locust, k6.
Have experience building and maintaining CI/CD pipelines (Jenkins, Groovy).
Are proficient in Python for performance test scripting.
Have practical experience in utilizing AI tools to automate and accelerate your work.
Have practical experience with Kubernetes (debugging, resource management).
Have experience with observability tools (monitoring, logging, tracing).
Worked with BigData workloads.
Have strong analytical skills, ability to work independently, take initiative, and drive improvements proactively.
Native in Polish, and proficient in English.
We offer:
Direct impact on the global expansion of the fast growing investigative analytics company with global ambitions.
A competitive salary and an attractive package of benefits (private healthcare, life insurance, multisport cards, training).
Growth opportunities in a dedicated and passionate team of professionals.
A challenging and inspiring environment.
Work remotely in a flexible, independent work environment.
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Hybrid
Wroclaw, Poland
🏢 Summary: Senior Python Software Engineer role focused on building and operating production-grade Python applications and data pipelines, transforming data science prototypes into scalable, deployable services. The position emphasizes strong SDLC practices, API development, governed data environments and collaboration with platform teams using Databricks and Spark. It combines backend engineering, data processing and model service exposure in enterprise production environments. 🗂️ Requirements: 3+ years of Python engineering experience, Proficiency in Python packaging (wheels, pyproject), Experience with typing, clean architecture and error handling, Strong production SDLC experience (Git workflows, automated tests, CI/CD, code reviews), Strong skills in Pandas and NumPy, Experience with Parquet and governed data access patterns, Experience building APIs with FastAPI, Flask or similar frameworks, Experience working in Databricks or other governed platform environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, Databricks, Spark, PySpark, Git, CI/CD, scikit-learn 🏢 Description: We are seeking a Senior Python Software Engineer (Production Data & Model Services) to design, build and operate production-grade Python applications and data pipelines. In this role, you will transform quantitative and data science prototypes into robust, deployable services while collaborating closely with platform teams to ensure scalable and well-governed solutions. Responsibilities Build and run production-grade Python applications including APIs and batch jobs with strong SDLC practices covering code reviews, testing, CI/CD, observability and documentation Develop robust batch and near-real-time data pipelines reading and writing governed storage with Parquet and columnar formats following approved patterns Transform quant and data science prototypes into deployable packages and services that are typed, modular and versioned Expose scoring and analytics capabilities via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks and Spark connectivity Optimize PySpark workloads when needed to ensure performance and scalability Maintain release discipline through Git workflows, automated tests and code reviews Operate within governed platform environments to ensure compliance and reliability Requirements 3+ years of experience in Python engineering with proficiency in packaging (wheels/pyproject), typing, clean architecture, error handling and performance mindset Proven background in production SDLC including Git workflows, automated tests, CI/CD, code reviews and release discipline Strong skills in Pandas and NumPy applied to production pipelines Familiarity with data formats such as Parquet and governed data access patterns Experience building and operating APIs and services using FastAPI, Flask or similar frameworks Competency in working within governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Familiarity with IDE-to-Databricks workflows such as Databricks Connect We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.