Senior Software Engineer developing backend services for Azul's Intelligence Cloud. Collaborating across teams to enhance software architecture and system reliability in server-side applications.
Responsibilities
Develop high-quality features and improvements in Java/Kotlin, with a strong focus on maintainability and readability.
Participate in design discussions and contribute to technical decisions, without needing to drive long-term architecture alone.
Help translate requirements into clear, practical designs and implementation steps.
Contribute to small-scale proofs-of-concept and prototypes to validate ideas and explore alternatives.
Evaluate trade-offs between solutions while keeping simplicity, cost, stability, and performance in mind.
Collaborate closely with the team to break down work, estimate tasks, and deliver incrementally.
Collaborate with other engineering teams, product managers, and data teams to ensure smooth integration of features and shared services.
Recommend improvements to monitoring, metrics, performance, and reliability of cloud services (AWS preferred).
Engage actively in code reviews, sharing feedback and ensuring high-quality standards across the team.
Build scalable, resilient backend services within our cloud environment and data pipeline ecosystem.
Maintain and extend internal components powering data ingestion, transformation, and delivery flows.
Work cross-functionally to ensure smooth integration with other teams and systems.
Keep up with industry trends and suggest practical improvements that fit our context.
Requirements
7+ years of hands-on development experience with Java (Kotlin or strong interest in Kotlin is a plus).
Experience building backend services and working with modern JVM-based systems.
Familiarity with AWS cloud services and cloud-native application development.
Experience with relational databases, NoSQL stores, and messaging systems (Kafka, SNS/SQS, etc.).
Exposure to data pipelines, data ingestion, ETL/ELT, or data delivery systems is highly valued.
Understanding of distributed systems fundamentals, service reliability, and performance considerations.
Familiarity with AI/LLM-based systems and how backend services interact with them (e.g., prompt orchestration, model APIs, embedding pipelines) is a plus.
Comfortable participating in design discussions without needing to own architecture.
Strong debugging and problem-solving skills; comfortable reading and improving existing codebases.
Good communication skills and a collaborative mindset.
Bachelor’s/Master’s degree in Computer Science or equivalent experience.
Benefits
Equity Program - be part of the company success.
Annual bonus based on company performance.
Referral Program - bring your colleague we would all love to work with.
IT Equipment - MacBook Pro or any other HW according to your preferences.
Work-life balance - 5 weeks of holidays, 5 sick days, flexible working hours, 100% work from home also possible.
Offices in Prague City Centre - if you prefer.
Most importantly you will work with top experts worldwide who contribute to the Java ecosystem
Generative AI Software Engineering Intern supporting applied AI development for Benchmark Gensuite's platform. Collaborating with experienced engineers on backend services and AI workflows.
Software developer focused on designing ERP solutions in a hybrid working environment. Engaging in various client projects and collaborating closely with sales and consulting teams.
Senior Software Engineer building and improving AI management systems for healthcare startup. Collaborating with cross - functional teams to address high - level engineering challenges.
Senior Software Engineer responsible for designing solutions with Python and Django for a Fintech platform. Collaborating with teams to ensure quality and scalability while managing large datasets.
Senior Software Engineer responsible for Health Information Exchanges development at Contexture. Collaborating on secure development and software lifecycle processes while mentoring junior developers.
Build AI - powered product experiences in a fast - growing startup focused on authentic social interactions and community trust. Mentor engineers and shape app quality with high user engagement.
Backend - focused Software Engineer stabilizing and scaling core systems for fintech startup. Building reliable solutions to real - world problems in the debt management space.
Engineers building the AI - powered revenue platform for modern finance teams. Join a lean team to take ownership of ambitious projects and innovate revenue - critical infrastructure.
Tech Lead providing architectural guidance and focusing on sustainable solutions at GFT France. Involved in evolving development practices amidst a dynamic technical environment.
Software Engineer developing ML and geospatial systems for climate action startup. Improving data pipelines and cloud infrastructure for soil carbon quantification.