Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer (Cloud) role stands out because it centers on multi-tenant SaaS engineering on AWS, with a clear emphasis on data ingestion, analytics, and integration patterns that are common in modern subscription software. The scope suggests a product where data pipelines, normalized storage, and API-based interoperability are core to how the platform delivers value, making the work directly relevant to SaaS architectures rather than generic backend development.
From a SaaS career perspective, the day-to-day exposure is strongly transferable: designing real-time and batch processing, building data access microservices, and evaluating AWS services through proof of concepts. Experience with technologies like Kafka or Kinesis, Snowflake, and graph-oriented tooling also maps well to data-intensive SaaS categories, where reliability, tenant isolation, and scalable analytics are recurring challenges across companies.
This position is best suited to engineers who prefer hands-on system design and production delivery, and who enjoy collaborating across product and engineering to translate requirements into robust platform capabilities. It will particularly fit professionals who want to deepen cloud-native SaaS expertise in distributed data systems, and who are comfortable owning technical decisions in an environment that expects early impact.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About You
You are a passionate Senior Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have strong hands-on technical expertise in a variety of big data technologies. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment.
Your Impact
Key Responsibilities:
- Responsible for design and development of a large-scale data ingestion and analytics.
- Design and develop data pipelines for real-time and batch data processing for disparate datasets.
- Develop systems which can store data in highly normalized fashion to allow correlation with other data sources.
- Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues.
- Perform proof of concepts to identify best design options including usage of AWS services.
- Research integration options for various SaaS/IaaS technologies, including APIs for user administration and incorporate this research in our application integration.
What will you need?
Required Skills:
- Prior experience in performing the same role in a SaaS security product company.
- Minimum 7 years of relevant work experience in similar roles.
- In-depth knowledge of Java, REST Web Services, SQL, Kafka/Kinesis, EMR/SparQL, Snowflake, AWS Neptune, Gremlin/Tinker-Pop
- Hands-on experience developing and delivering scalable data lakes, data ingestion and processing pipelines, data access microservices in multi-tenant environments on AWS platform.
- Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team.
- Understand and practice agile development methodology.
Nice to Have:
- AWS Certified Developer certification is highly desired.
- Understanding of DevOps, microservices architecture and container/Docker technologies.
