Highlights
Design, develop, optimize, collaborate, learn quickly.
Description
Job Summary
pWe are seeking a Backend Software Engineer to design, build, and operate the core systems behind Falkonry's Time Series AI platform. The role involves developing backend services, data ingestion pipelines, streaming infrastructure, API services, and cloud-native deployment across various environments.
Responsibilities
- Design and develop backend services and APIs for the TSI platform.
- Build high-throughput data ingestion and streaming pipelines handling diverse industrial protocols.
- Create infrastructure for ML model management and inference scheduling.
- Support cloud-native architecture across public, private clouds, on-premises, and air-gapped deployments.
- Optimize systems for performance, reliability, and cost at scale.
- Collaborate with product and frontend teams to deliver end-to-end capabilities.
- Participate in code reviews, system design discussions, and incident response.
Required Skills
- Strong fundamentals in computer science
- Data structures and algorithms expertise
- Distributed systems knowledge
- RESTful APIs and database design experience
- Cloud-native architecture skills
Required Skills Explained
- Strong fundamentals in computer science, data structures, algorithms, and systems design.
- Proficiency in one or more backend languages such as Java, Python, Scala, etc.
- Understanding of distributed systems, RESTful APIs, and database design (SQL and/or NoSQL).
- Ability to learn quickly, work independently, and take ownership of deliverables.
- Contributions to open source or personal projects demonstrating engineering depth.
Who is this for
pThis role is ideal for a backend engineer with a passion for building robust, scalable systems. You should be comfortable working in distributed environments and have a proven track record of delivering high-quality code.
Why This Job is a Good Opportunity
ulliWork on cutting-edge technology in the field of Time Series AI platforms.liPotential for rapid skill development and exposure to complex systems.liOpportunity to collaborate with cross-functional teams including product, frontend, and ML engineers.liGrowth potential within a dynamic and innovative company environment.
Interview Preparation Tips
- Review core computer science fundamentals thoroughly.
- Prepare examples of past projects or contributions to open source that demonstrate your backend development skills.
- Be ready to discuss your experience with distributed systems, RESTful APIs, and database design.
- Packets for any relevant tools like Kafka, Flink, Docker, Kubernetes if applicable.
Career Growth in This Role
pThe role offers a pathway for growth into senior backend engineer positions or leadership roles within the engineering team. The exposure to cloud-native architecture and time series data processing can lead to specialized expertise that is highly valued in today's tech industry. Additionally, the collaborative environment fosters professional development through regular code reviews and system design discussions.
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Skills
Frequently Asked Questions
What is the expected experience level?We welcome candidates with varying levels of experience, but we value clear thinking and strong engineering skills.
Is open source contribution required?While not mandatory, contributions to open source or personal projects are highly valued.
What kind of cloud platforms do you support?We work across AWS, Azure, GCP and containerization technologies like Docker and Kubernetes.
