Staff Engineer ( Full Stack )

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 great 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 Strong understanding of API design, scalability, and performance optimization Experience in frontend technologies (JavaScript, React) Strong debugging, problem-solving, and system design skills

Bonus Points for

• Experience in Kubernetes - Experience in Big Data Systems or Hadoop components.