Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer (Cloud) role stands out for its direct connection to multi tenant SaaS architecture on AWS, with an emphasis on data ingestion and analytics rather than feature delivery alone. The remit touches real time and batch processing, normalized storage, and correlation across disparate sources, which are recurring technical pressure points for SaaS products as usage grows and datasets diversify.
For SaaS career development, the work builds durable strengths in designing cloud native data platforms that support product analytics, security insights, and operational reporting. Experience with pipelines, event streaming, and data access microservices translates across many SaaS categories because these patterns underpin everything from observability to customer facing insights. The mention of proof of concepts and evaluating AWS services also signals ongoing architectural decision making, a useful step toward senior engineering and platform leadership tracks.
The role is best suited to an engineer who prefers systems level problems and enjoys balancing reliability with iteration. It will fit someone comfortable collaborating across product and engineering, contributing through design reviews and troubleshooting, and working in an environment where prior SaaS security context and multi tenant scaling experience are valued.
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.
