
Senior Full-Stack Developer (Java and Angular)
Primary stack
Nice to have's
Job description
About the Position
DataWalk is the Data and Analytics Platform with an Enterprise Knowledge Graph. DataWalk turns fragmented data into an enterprise knowledge graph - enabling humans and AI to uncover hidden patterns and answer complex multi-hop questions at a population scale. 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 leveraging a unique business opportunity, please read further.
We are looking for an experienced Senior Full-Stack Developer to join our Integration and Modeling Team.
The position will play a significant role in architecting, designing, developing, and delivering high-performance Java-based software solutions that underpin our platform's stability, scalability, and efficiency.
Responsibilities
- Design and implement core components of the DataWalk platform.
- Identify, recommend, design, and implement non-functional and performance improvements.
- Evaluate new technologies and their application to the business.
- Work with team members to conduct root cause analysis of issues, review code, and/or design proper testing mechanisms.
- Support back-end engineering efficiency initiatives.
Requirements
- 7+ years of professional experience, preferably in a product-focused company.
- Fluency in Java, Spring, and SQL.
- Experience with TypeScript and Angular.
- Strong knowledge of SQL databases (preferably columnar databases) and experience with RESTful web services.
- Familiarity with Redis, ActiveMQ Artemis (JMS), and Docker.
- Demonstrated high level of ownership and initiative (high agency).
- Ability to manage multiple priorities in a fast-paced environment.
- Excellent communication and collaboration skills.
- Fluency in English and Polish.
Nice to Have
- Kubernetes and Kubernetes API.
- Knowledge of/experience in graph analytics.
- Experience in the area of back-end performance measurement, analysis, and improvements.
We Offer
- Work in a high-tech company with Polish-American work culture and an excellent development perspective.
- A competitive compensation and access to professional development tools.
- Work on a product based on a unique technology.
- Growth opportunities in a passionate team of professionals.
- Challenging and inspiring environment.
- Friendly atmosphere and attractive package of benefits (private healthcare, life insurance, multisport cards, training).
Location
- City: Wroclaw
- Country: Poland
- Work model: Remote
Please send your CV or LinkedIn Profile to: [email protected]
If you are interested in participation in future/other recruitment processes conducted by DataWalk S.A., please add in your application your consent to the processing of personal data for this purpose in the future, e.g., as following: "I consent to the processing by DataWalk S.A. of my personal data included in this application for the purpose of future/other recruitment processes”.
We will contact only the selected candidates.
Before sending your application please read how we process your personal data:
© DataWalk SA. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
DataWalk SA is a high-tech Polish company that is listed on the Polish stock Exchange.DataWalk utilizes unique software technology to enable our customers to solve difficult problems that are important to society. Our software platform is optimized for revealing patterns, relationships, and anomalies for large-scale, multi-source intelligence operations and data analysis. Using a massively scalable big-data engine, combined with user-friendly visual interfaces, DataWalk eliminates the restrictions of data silos, allowing government agencies and commercial enterprises to rapidly unify, access, visualize, analyze, and securely share data.
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