Senior Software Engineer

Job not on LinkedIn

🕒 August 27

🇨🇿 Czechia – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 35%

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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Globalme (now Summa Linguae Technologies)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

💼 Consulting

Artificial Intelligence • B2B • Consulting

Globalme (now Summa Linguae Technologies) is a provider of human-generated multilingual data and language services that supports AI development and global communications. The company delivers ethically sourced training datasets (speech, text, image, and video), localization and translation services, and managed services such as project management and staffing to help businesses scale multilingual products and AI systems. The firm has repositioned parts of its offering under the DATAmundi/DATAmundi. ai brand to emphasize AI data services while retaining Summa Linguae Technologies as its legal name.

📋 Description

• Design, develop, and maintain scalable web applications using Python, FastAPI, React, JavaScript/TypeScript, and Node.js • Build and maintain REST or GraphQL APIs, including authentication, authorization, validation, and error handling • Work with SQL and NoSQL databases, including data modelling, migrations, and query optimization • Use AI coding agents such as Claude Code to accelerate development while maintaining code quality, security, and maintainability • Work with message queues such as RabbitMQ for asynchronous processing and background jobs • Investigate and resolve bugs, production issues, and performance bottlenecks • Create technical documentation and contribute to architectural decisions • Write and maintain unit, integration, API, and end-to-end tests • Apply automated testing throughout the development lifecycle • Participate in code reviews and maintain high engineering standards • Validate AI-generated code through testing, code review, security, and performance checks • Work with Git/GitHub, pull requests, code reviews, and CI/CD workflows • Contribute to deployment and maintenance of applications in cloud environments such as AWS, Azure, GCP, or DigitalOcean • Work with Docker, application configuration, secrets, and basic infrastructure concepts • Use monitoring and production-support tools such as Grafana, Sentry, and logging/observability platforms • Work as part of an Agile/Scrum team and participate in planning, reviews, and retrospectives • Translate product requirements into clear, estimable technical tasks • Communicate progress, risks, dependencies, and blockers • Collaborate with engineers, QA, product managers, data scientists, and external partners • Work independently while remaining open to learning and working across different technologies

🎯 Requirements

• Practical software development experience gained through professional work, internships, academic projects, open source, or a strong technical portfolio • Strong Python skills and experience with FastAPI or a similar framework • Experience with React and JavaScript/TypeScript • Experience building back-end services with Python and/or Node.js • Experience designing REST or GraphQL APIs • Experience writing unit and integration tests • Good understanding of SQL, relational databases, and software engineering principles • Experience with Git/GitHub and code-review workflows • Experience using Claude Code or a similar AI coding agent • Strong analytical, problem-solving, and communication skills • Ability to work independently in a remote environment • Professional working proficiency in English • Bachelor's degree in Computer Science, Software Engineering, or a related field is preferred; equivalent practical experience, relevant projects, or a strong technical portfolio will also be considered • Nice-to-have experience with GraphQL and libraries such as Strawberry, Graphene, Ariadne, or Apollo • Nice-to-have experience with Playwright or another E2E testing framework • Familiarity with CI/CD, Docker, and cloud platforms such as AWS, Azure, GCP, or DigitalOcean • Experience with RabbitMQ, Kafka, Redis, or similar messaging systems • Familiarity with Grafana, Sentry, logging, and observability tools • Experience integrating AI/ML models into production applications • Knowledge of authentication, RBAC, API security, secrets management, and data protection • Experience working in an Agile/Scrum product environment