Nombre de vacante Senior Software Engineer – Python / AWS / AI
Descripción We’re looking for a Senior Software Engineer to help design, develop, and deploy scalable, high-quality software solutions that power Sage’s next generation of products. You’ll use your expertise in Python, AWS, and AI technologies to deliver robust, modern systems while collaborating closely with product managers, QA, and other engineers across multiple squads.
You’ll thrive in a fast-paced, iterative environment, building and evolving services that directly impact how businesses operate every day.
This is a hybrid role requiring 3 days per week in your nearest Sage office.
Your First 90 Days
30 days – Get up to speed with our architecture, tools, and delivery pipelines. Understand the products, meet your squad, and start contributing to smaller tasks and code reviews.
60 days – Take ownership of features, design scalable solutions, and collaborate closely with your teammates to improve existing services.
90 days – Lead development on key initiatives, help shape architecture discussions, and actively contribute to our engineering best practices and AI-driven innovations.
Meet the Team
You’ll join a cross-functional, agile engineering team that values collaboration, experimentation, and clean, maintainable code. Our squad currently consists of 4 people plus a part-time architect:
1 Team Lead \& 2 developers with complementary expertise across backend and frontend technologies
1 QA engineer focused on quality and automation
A part-time architect who supports architectural decisions and long-term technical strategy
We work on internal AI-based solutions that power smarter experiences across Sage products, including:
Semantic search with RAG (Retrieve-Augment-Generate) for intelligent information retrieval
AI-driven report generation with graphics, analysis, and summarization capabilities
AI performance metrics to monitor and optimize model efficiency
You’ll work alongside product managers, QA engineers, and other developers who are passionate about solving complex problems and continuously improving how we build software. Your manager fosters an empowering, supportive, and technically engaging environment where engineers are encouraged to learn, challenge ideas, and take ownership of their work.
How Success Will Be Measured
Delivery of reliable, well-structured, and maintainable software
Active contribution to architecture design and code quality improvements
Collaboration and knowledge sharing across squads
Initiative in problem-solving, automation, and continuous delivery
Commitment to clean code, scalability, and system resilience
Skills You’ll Gain
Deep expertise in cloud-native development using AWS
Experience designing scalable APIs and AI-powered solutions
Exposure to cross-squad collaboration and product-driven delivery
Broader understanding of system design, DevOps, and automation at scale
Responsabilidades principales Snapshot of Your Day-to-Day
You’ll design, code, test, and deploy cloud-based services using Python and AWS, collaborating with other engineers to deliver features from concept to production. You’ll review pull requests, participate in architecture discussions, and continuously refine system performance and scalability.
At Sage, we hire technically capable people. While we use the technologies below, we don’t expect expert knowledge from day one. What matters most is your curiosity, problem-solving mindset, and passion for building reliable systems. You’ll be fully supported as you learn and grow with us.
Python or Typescript for creating and consuming APIs
Python for developing AI solutions
AWS – for most of our production infrastructure and data storage. We use services such as • • Amazon DynamoDB, AWS Lambda, Amazon Bedrock, ECS, SQS, SNS, and others.
CDK for building infrastructure
GitHub Actions for CI/CD
Qualifications
Strong experience in software engineering with service-oriented architectures
Proven experience with Python or TypeScript for API development
Hands-on experience with AWS and cloud-native services
Passion for writing clean, maintainable, and testable code
Strong collaboration skills and ability to thrive in an agile, fast-paced environment
Comfortable owning code from design to production
Familiarity with architectural decision-making and scalable design principles
Nice to Have
Experience developing or integrating AI-powered solutions
Exposure to infrastructure as code (CDK preferred)
Familiarity with React for web development and with Docker for containerization.
Experience with GitHub actions.
At Sage, we offer you an environment where you can grow professionally without compromising your personal well-being. Our benefits package is designed to provide stability, flexibility, and balance:
Flexible benefits: exchange part of your salary and make tax savings on health insurance, meal and transport vouchers, childcare, and training.
Well-being: Free access to the Calm app (for up to 5 users), 24/7 counselling, and emotional support from our Healthy Mind Coaches. We also offer self-care and parenting resources through the Cleo app.
Flexible working: flexibility of working one hour in, one hour out, shortened workdays on Fridays and during the summer, and the opportunity to work from over 40 countries for up to 10 weeks per year through our Work Away program.
Annual leave: 23 working days of vacation, 5 paid days per year for volunteering, and 5 additional paid days annually for personal or professional development.
Extended leave: 7 extra days of maternity leave and 5 extra days of paternity leave, on top of the legal allowance, available after one year of service.
Financial support: Life and disability insurance, salary advances of up to 3.5 times your net monthly pay, a €300 net marriage bonus, and access to Sage's employee stock purchase plan at a discounted rate.
Health and Safety Responsibilities
Fostering the safety culture, by leading with your own example.
Following established safety procedures and reporting potential hazards promptly helps maintain a secure and efficient workplace.
Participating in safety training sessions and adhering to preventive guidelines and procedures, the objective is minimizing risks and protecting yourself and the rest of your colleagues.
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