Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer (Cloud) role stands out for its clear focus on multi tenant SaaS architecture on AWS, with an emphasis on data ingestion and analytics rather than general application feature work. The remit spans real time and batch pipelines, normalized storage models, and integrations across SaaS and IaaS services, all of which are central problems for SaaS products operating at scale.
From a SaaS career perspective, the work builds durable experience in platform thinking: designing data systems that can serve multiple customers reliably, selecting and validating managed cloud services through proof of concepts, and shaping how data becomes a product capability. The combination of streaming technologies, SQL and lake style patterns, and microservices oriented access layers is broadly transferable across security, observability, fintech, and other data intensive SaaS categories.
The position is best suited to an engineer who prefers ownership over a defined domain and is comfortable collaborating with product and engineering peers through reviews, integration design, and troubleshooting. It will likely appeal to someone who already has exposure to SaaS delivery expectations and wants to deepen expertise in cloud native data platforms within a distributed, agile setup.
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.
