Senior Java Engineer, Python

Job not on LinkedIn

🔥 12 minutes ago

🇩🇪 Germany – Remote

⏳ Contract/Temporary

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Salve.Inno

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Salve. Inno is a recruitment and consulting firm that connects exceptional talent with businesses through personalized hiring strategies and global remote sourcing. The company specializes in recruitment for roles across sectors such as marketing, forex, and iGaming, offering candidate sourcing, screening, and career-site driven hiring experiences while emphasizing DE&I, communication, and innovative process building. Founded in 2024 and headquartered in Gdańsk, Poland, Salve. Inno operates with a small team and a global footprint via remote job listings and consulting services.

📋 Description

• Design, build and maintain scalable backend services and APIs, primarily in Java • Write production-quality code as a core part of daily work • Contribute to Python services and codebases when required • Work across approximately three to four interconnected microservices • Make and influence technical and architectural decisions • Break down complex requirements and guide their technical implementation • Review code and establish strong engineering standards • Mentor engineers and provide technical guidance without formal line-management responsibility • Collaborate with Product Owners to evaluate requirements, trade-offs and delivery approaches • Build and operate cloud-native services, primarily on AWS • Deploy and run containerised applications using Kubernetes and Docker • Work with DevOps engineers on CI/CD, deployment, scalability and reliability • Use data, analytics and operational insights to support technical decisions • Contribute to testing, documentation and continuous improvement throughout the SDLC • Support adoption of AI-assisted engineering tools and solutions where appropriate

🎯 Requirements

• At least 5 years of professional backend engineering experience • Strong, recent and hands-on commercial experience with Java • Proven experience designing and developing microservices or distributed systems • Professional experience contributing to production Python codebases • Strong knowledge of AWS and cloud-native application architecture • Solid hands-on experience with Kubernetes and Docker • Experience designing and integrating REST APIs • Good knowledge of SQL and relational databases • Practical experience with CI/CD pipelines and modern software-delivery practices • Experience influencing architecture or leading technical decisions • Ability to review code and mentor other engineers • Strong understanding of testing, maintainability and production code quality • Comfortable working across several services and technical priorities simultaneously • Strong communication skills and ability to work with technical and product stakeholders • Professional working proficiency in English (C1+) • Nice to have: Experience with Azure alongside AWS • Nice to have: Experience building or integrating AI-enabled products • Nice to have: Knowledge of analytics, data-processing or event-driven systems • Nice to have: Experience working in an international, distributed engineering environment • Nice to have: Previous experience supporting several engineering teams or product areas

🏖️ Benefits

• Long-term B2B engagement • More than 20 days of paid time off • Apple equipment • Training and professional-development budget • Opportunity to work on AI-powered systems used internationally • Collaboration with experienced, multidisciplinary engineering teams