Salt is currently hiring a Software Engineer for a client of ours in Amsterdam.

A Software Engineer is responsible for delivering high-quality technical solutions across the organization’s technology stack, products, and platforms. This role owns the implementation of software solutions based on business requirements, provides accurate effort estimation, and consistently delivers well-crafted, maintainable code.

The engineer recognizes that the quality of automated testing is as important as production code and continuously refactors both to improve maintainability, reliability, and long-term development velocity.

Working closely with cross-functional teams-including product managers, software engineers, AI engineers, and customer support stakeholders-this role contributes to the design, prioritization, and implementation of technical solutions. As part of the AI Automation team, the successful candidate will help build AI-powered capabilities that enhance customer experiences, improve operational efficiency, and empower customer support teams.

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Software Development

• Design, build, and maintain scalable software applications using modern programming languages, frameworks, and development tools.
• Write clean, readable, reusable, and maintainable code following established engineering standards and best practices.
• Refactor and simplify existing codebases by applying appropriate design patterns and software engineering principles.
• Ensure application quality through comprehensive unit, integration, and automated testing.
• Maintain data security, integrity, and quality by adhering to organizational standards and security practices.

End-to-End Service Ownership

• Own services throughout their lifecycle, including development, deployment, monitoring, and ongoing maintenance.
• Monitor application health, performance, and operational metrics to ensure system reliability.
• Reduce operational risk by implementing best practices, maintaining documentation, and creating operational runbooks.
• Support continuous delivery practices, experimentation, and safe production releases.
• Independently manage deployments and production operations.

Production Support & Incident Management

• Investigate and resolve production issues while minimizing customer and business impact.
• Perform root cause analysis to improve system reliability and prevent recurring incidents.
• Contribute to incident documentation, postmortems, and continuous operational improvements.

System Design & Architecture

• Design scalable, secure, and maintainable software solutions that meet current and future business needs.
• Evaluate architectural options based on technical requirements, cost, scalability, and maintainability.
• Consider infrastructure, cloud, and operational impacts when introducing new systems or enhancements.
• Contribute architectural guidance and technical recommendations during solution design discussions.
• Leverage engineering techniques such as prototyping, proof-of-concepts, and technology evaluations to accelerate delivery.

Continuous Improvement

• Identify opportunities to improve engineering processes, system performance, and development practices.
• Contribute to engineering standards, documentation, and technical best practices.
• Promote code quality, automation, and operational excellence across the team.
• Mentor junior engineers and support knowledge sharing within the engineering organization.

Critical Thinking & Problem Solving

• Analyze complex technical challenges to identify root causes and practical solutions.
• Evaluate alternative approaches and make data-driven technical decisions.
• Continuously seek opportunities to improve systems, processes, and engineering outcomes.

Collaboration & Communication

• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Collaborate effectively with cross-functional teams to deliver business value.
• Participate actively in design discussions, sprint planning, code reviews, and technical decision-making.
• Build strong working relationships through active listening, constructive feedback, and transparent communication.

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Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience designing, building, and maintaining microservices-based architectures.
• Strong proficiency in Java with hands-on experience using frameworks such as Spring Boot and Hibernate.
• Experience developing and deploying applications on Amazon Web Services (AWS).
• Strong experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., DynamoDB, Cassandra).
• Experience with Kubernetes and containerized application deployment.
• Strong understanding of software engineering best practices, including automated testing, CI/CD, and code quality.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work effectively both independently and within cross-functional teams.

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Preferred Qualifications

• Experience with AI orchestration platforms, workflow automation, or process automation.
• Experience designing and building Generative AI solutions, AI agents, or agentic workflows.
• Familiarity with LLM integration, prompt engineering, retrieval-augmented generation (RAG), or AI application development.
• Experience designing and implementing GraphQL APIs.
• Exposure to event-driven architectures, distributed systems, and cloud-native application development.
• Familiarity with observability tools, monitoring, and production performance optimization.

*Rates depend on experience and client requirements