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 day in the life of a Staff Software Engineer Design and build scalable, reliable, and performant distributed systems using Java and microservices architecture. Contribute to system design discussions, architecture reviews, and technical decisions. Develop robust APIs and microservices with high availability and low latency. Collaborate with cross-functional teams (Product, Data, DevOps) to deliver high-quality releases. Optimize system performance and scalability across large datasets. Mentor junior engineers and contribute to engineering best practices. You are a great fit for the role, if you have 9–12 years of hands-on experience in backend development using Java. Strong understanding of distributed systems, system design, and microservices. Experience with NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB). Hands-on experience with event streaming technologies (e.g., Kafka, Spark). 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 AllWe 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.
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 day in the life of a Staff Software Engineer Design and build scalable, reliable, and performant distributed systems using Java and microservices architecture. Contribute to system design discussions, architecture reviews, and technical decisions. Develop robust APIs and microservices with high availability and low latency. Collaborate with cross-functional teams (Product, Data, DevOps) to deliver high-quality releases. Optimize system performance and scalability across large datasets. Mentor junior engineers and contribute to engineering best practices. You are a great fit for the role, if you have 9–12 years of hands-on experience in backend development using Java. Strong understanding of distributed systems, system design, and microservices. Experience with NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB). Hands-on experience with event streaming technologies (e.g., Kafka, Spark). 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 AllWe 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.