Acceldata is reimagining the way companies observe their Data
Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.
As a Staff Full Stack Engineer
You’ll be responsible for architecting, building and scaling the core features and capabilities of our Kubernetes-native Data product. You’ll also work closely with the frontend and product teams to create a reliable and scalable platform.
A day in the life of Staff Full Stack Engineer
Architect, design, and build scalable distributed systems using Java.
Lead system design and architecture decisions across services, APIs, and data layers.
Build and optimize high-throughput, low-latency microservices.
Design and implement event-driven architectures using Apache Kafka.
Develop and optimize data processing pipelines leveraging Apache Spark (or similar technologies).
Ensure system reliability through:
-Fault tolerance, retries, circuit breakers
-Observability (logging, metrics, tracing)
Optimize performance across:
-CPU, memory, I/O, and database queries
Drive code quality, design reviews, and engineering best practices
Mentor engineers and provide technical leadership across teams
You are a outstanding fit for this role if you have
10+ years of experience in software engineering with strong backend focus
Deep expertise in Java and backend frameworks like Spring Boot
Strong experience in:
-Distributed systems design
-Microservices architecture
-Concurrency and asynchronous processing
Hands-on experience with:
-Apache Spark
-PostgreSQL / MySQL
-Caching systems like Redis
Experience with cloud-native architectures on platforms like Amazon Web Services