How much experience is required?

At least 10 years of relevant experience for this Staff Engineer ( Full Stack ) role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Amazon Web Services, Apache Kafka, Apache Spark, Java, JavaScript, MySQL.

What seniority level is this role?

Acceldata targets staff-level candidates for this position.

Is this full-time or contract?

Full-time for this Staff Engineer ( Full Stack ) role at Acceldata.

Staff Engineer ( Full Stack ) at Acceldata

Joblaze summary

In the role of Staff Full Stack Engineer at Acceldata, the individual will architect and develop scalable features for a Kubernetes-native data product, collaborating closely with frontend and product teams. Key skills include deep expertise in Java, distributed systems design, and experience with technologies like Apache Kafka and Spark. This position is ideal for seasoned engineers with over a decade of experience, particularly those with a strong backend focus and familiarity with cloud-native architectures. Acceldata's innovative approach to data observability positions the team at the forefront of transforming how enterprises manage their data.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Acceldata's career page.
Acceldata has 45 other open roles including Staff Engineer ( Backend ), Lead SDET - Hadoop Observability (Pulse), Technical Account Manager - Acceldata Data Observability Cloud (ADOC).
1596 active Java roles on Joblaze right now.
1515 active React roles on Joblaze right now.
1357 active PostgreSQL roles on Joblaze right now.
Typical Java salary we track runs $125,000–$190,850 (median $160,823, across 731 roles). See Java salary trends

Quick facts

How much experience is required?: At least 10 years of relevant experience for this Staff Engineer ( Full Stack ) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Amazon Web Services, Apache Kafka, Apache Spark, Java, JavaScript, MySQL.
What seniority level is this role?: Acceldata targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Engineer ( Full Stack ) role at Acceldata.

From the original posting

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.

Staff Engineer ( Full Stack )

Similar positions