Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer (Cloud) role stands out in the SaaS ecosystem because it is anchored in multi-tenant architecture on AWS, with a clear emphasis on data ingestion and analytics. Work at this intersection tends to be core to product differentiation in SaaS—how reliably a platform collects, processes, and correlates customer data often determines everything from reporting to automation. The listing also signals a modern cloud stack, spanning streaming, batch processing, and data-store design choices.
From a SaaS career perspective, the mandate to build real-time and batch pipelines, normalized storage models, and integration pathways across SaaS/IaaS APIs develops skills that translate across many subscription software businesses. The combination of distributed systems thinking, cloud-native service selection, and collaboration with product and engineering peers maps closely to how mature SaaS platforms scale data capabilities while maintaining tenant isolation and operational reliability.
This position is best suited to an experienced engineer who prefers owning complex backend/data problems end-to-end, from design through troubleshooting in production. It will fit someone comfortable making architectural trade-offs, contributing through code reviews and proofs of concept, and working with cross-functional stakeholders to land pragmatic solutions in a SaaS product environment.
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.
