13 ago
|
Talanto
|
Madrid
Senior Software Engineer (SaaS): Developing and optimizing automation workflows and architectures for the product platform with an accent on system integration, performance, and reliability. Focus on utilizing Microsoft Power Platform, M365, AWS, and AI/LLM technologies to streamline operational efficiency for internal product teams.
Location:
Hybrid model based in Madrid, Spain
(near Bernabeu Stadium);
Relocation package available
for international candidates.
Company
Nexthink is a leader in digital employee experience management software, providing IT teams with real-time analytics and automation to proactively optimize digital workplaces for over 1,300 customers.
What you will do
Design, develop, and own advanced automation workflows and architectures integrating various systems via APIs.
Apply AI and LLM capabilities to automate manual processes and improve operational efficiency.
Optimize the automation environment for performance, reliability, cost-effectiveness, and governance.
Monitor, troubleshoot, and iterate on workflows to ensure production-level reliability.
Collaborate with product stakeholders to identify and prioritize automation opportunities.
Requirements
5-7 years of professional experience as a Java developer in SaaS projects.
Proficiency in English
(spoken and written).
Experience with Microservices architectures.
Familiarity with RESTful APIs and messaging systems like Kafka.
Understanding of Unit and integration testing practices.
Degree in Computer Science or equivalent practical experience.
Nice to have
Experience with the Micronaut framework.
Hands-on experience with CI/CD pipelines.
Experience working with Docker and Kubernetes.
Culture & Benefits
Competitive compensation package and permanent contract.
Private Health Insurance (Sanitas) and daily meal vouchers fully covered.
Hybrid work model with adaptable hours.
Unlimited paid time off plus 23 days of holidays and 3 company-paid volunteer days.
Gym subscript
📌 Senior Software engineer (Madrid)
🏢 Talanto
📍 Madrid