Senior Software Engineer

As a Senior Software Engineer, you will play a key role in designing, building, and evolving scalable software solutions that power customer engagement and marketing automation. You will contribute to architectural decisions, modernize existing systems, and develop reliable messaging infrastructure that supports high-volume, event-driven applications. Working with modern cloud technologies, microservices, and AI-assisted engineering tools, you will help improve system performance, developer productivity, and engineering quality. You will collaborate with talented engineers and cross-functional teams, sharing expertise and influencing technical direction across the organization. This role combines hands-on development with architectural ownership, mentoring, and opportunities to shape modern engineering practices. Join a fully remote, collaborative environment that values continuous learning, technical excellence, and a healthy work-life balance.

• Extensive software engineering experience: At least 9 years of professional software development experience, with strong commercial expertise in object-oriented programming.

• Strong programming skills: Advanced proficiency in Java and experience with at least one additional programming language, preferably C#.

• Distributed systems expertise: Hands-on experience with Apache Kafka or comparable messaging systems, microservices architectures, and event-driven application design.

• System design and architecture: A strong understanding of scalable system design, architectural patterns, software maintainability, and modern engineering principles.

• Cloud technology experience: Practical experience with AWS services and cloud-native application development. Familiarity with services such as Fargate, Bedrock, EC2, ECS, SNS/SQS, RDS, and Elasticsearch is advantageous.

• DevOps and infrastructure skills: Experience with containerization, particularly Docker and Kubernetes, infrastructure as code using Terraform, and automated deployment processes.

• Database expertise: Confidence working with both relational SQL databases and NoSQL technologies, including the ability to design efficient and scalable data solutions.

• AI-augmented development experience: Regular, hands-on use of AI-powered coding or code-review assistants, with the ability to assess their output critically, validate results, and make informed decisions about when to adopt or reject suggestions.

• Independent and collaborative working style: Ability to take ownership of complex technical challenges while working effectively with distributed teams in a remote environment.

• Strong communication skills: Ability to explain complex technical concepts, document decisions, and translate engineering challenges into clear recommendations for technical and non-technical stakeholders.

• Mentoring and leadership: Demonstrated ability to support colleagues, provide constructive feedback, guide technical discussions, and help other engineers develop their skills.

• Curiosity and continuous learning: A proactive, team-oriented mindset with a genuine interest in emerging technologies, engineering innovation, and improving development practices.

Candidates who do not meet every listed qualification are still encouraged to apply if they bring strong engineering fundamentals, a learning mindset, and the motivation to contribute.