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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.
A days in the life of a Staff Backend Engineer
Architect, design, and implement highly scalable distributed systems using Java, applying microservices and event-driven design patterns to solve complex engineering problems.
Write production-grade, efficient, and maintainable code with a strong focus on data structures, algorithms, concurrency, and system-level optimizations.
Lead end-to-end system design, including API contracts, service decomposition and trade-off analysis (latency, throughput, consistency, fault tolerance).
Build and optimize low-latency, high-throughput APIs and backend services, ensuring reliability, resiliency, and observability at scale.
Deep dive into performance bottlenecks using profiling, benchmarking, and debugging tools.
Design and implement distributed data processing pipelines and handle large-scale datasets with a focus on scalability and fault tolerance.
Own critical components, drive code reviews, design reviews, and enforce high engineering standards (testing, CI/CD, clean architecture).
Collaborate closely with Product, Data, and DevOps teams while also influencing technical roadmap and architectural direction.
Mentor engineers through pair programming, code walkthroughs, and design guidance, raising the overall technical bar of the team.
You are a great fit for the role, if you have
12–15 years of hands-on experience in backend development using Java.
Strong understanding of distributed systems, system design, and microservices.
Experience in building data processing pipelines using Apache Spark or Apache Flink.
Experience with NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB).
Solid experience in building large-scale, cloud-native systems.
Working knowledge of Databricks or Snowflake or Big Data technologies is preferred.
Excellent problem-solving, debugging, and analytical skills.
Strong ownership and ability to work in a fast-paced product environment.
We care for our team
· Mentorship & Growth
· ESOPs
· Medical and Life Insurance
· Paid Maternity & Parental Leave
· Corporate Uber Program
· Learning & Development Support
Acceldata for All
We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.
Why Acceldata?
Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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