Acceldata

About Acceldata

Empowering data teams for better insights

🏢 Tech👥 201-500 employees📅 Founded 2018📍 Pruneyard / Dry Creek, Campbell, CA💰 $105.6m4
B2BArtificial IntelligenceEnterpriseBig dataSaaSData AnalysisCloud Computing

Key Highlights

  • Headquartered in Campbell, CA with 201-500 employees
  • $105.6 million raised in Series C funding
  • AI and machine learning-driven data observability platform
  • Offers ESOPs and performance-based bonuses

Acceldata is an enterprise data observability platform headquartered in Campbell, CA, that empowers data teams to optimize their data products. With $105.6 million raised in Series C funding, Acceldata serves clients by leveraging AI and machine learning to enhance data visibility and performance, h...

🎁 Benefits

Acceldata offers performance-based bonuses, ESOPs, and a flexible work schedule. Employees enjoy modern equipment, free lunch, Uber transport faciliti...

🌟 Culture

Acceldata fosters a culture focused on data visibility and performance optimization, driven by a team of industry veterans from Zalando, InMobi, and H...

Acceldata

Backend Engineer Staff

AcceldataBengaluru

Apply Now →

Overview

Acceldata is hiring a Staff Software Engineer - Backend to design and build scalable distributed systems. You'll work with Java and microservices architecture, focusing on developing robust APIs and optimizing system performance. This position requires 9-12 years of experience in backend development.

Job Description

Who you are

You have 9–12 years of hands-on experience in backend development using Java, demonstrating a strong understanding of distributed systems and microservices architecture. Your expertise includes developing robust APIs and ensuring high availability and low latency in your applications. You thrive in collaborative environments, working closely with cross-functional teams including Product, Data, and DevOps to deliver high-quality releases. Your problem-solving skills are top-notch, allowing you to optimize system performance and scalability across large datasets. You also have experience mentoring junior engineers, sharing your knowledge and contributing to engineering best practices. Familiarity with NoSQL databases such as Cassandra, MongoDB, or DynamoDB is essential, as is hands-on experience with event streaming technologies like Kafka and Spark. You are comfortable building large-scale, cloud-native systems and have a working knowledge of Databricks or Snowflake or other Big Data technologies.

What you'll do

In this role, you will design and build scalable, reliable, and performant distributed systems using Java and microservices architecture. You will contribute to system design discussions, architecture reviews, and technical decisions, ensuring that the solutions you develop meet the highest standards of quality and performance. Your responsibilities will include developing robust APIs and microservices, collaborating with cross-functional teams to deliver high-quality releases, and optimizing system performance across large datasets. You will also mentor junior engineers, helping them grow their skills and understanding of best practices in backend development. Your role will involve actively participating in technical discussions and decision-making processes, ensuring that the engineering team adheres to best practices and maintains a high standard of code quality. You will be expected to stay updated with the latest industry trends and technologies, applying this knowledge to improve the systems you work on.

What we offer

At Acceldata, we offer a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge technologies and contribute to a product that is revolutionizing data observability. We value collaboration and teamwork, and you will be part of a supportive culture that fosters professional growth. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives. Join us in our mission to empower data teams and transform how enterprises manage and observe their data.

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