Pioneer in data observability, providing comprehensive insights for data management across various environments.

Acceldata is a pioneering force in data observability, revolutionizing how enterprises manage and observe their data systems. As a Senior Full Stack Engineer, you'll be at the forefront of building and scaling our Data Observability suite, working with cutting-edge technologies and solving complex data problems at scale.

The role offers an exciting opportunity to work with open-source data engines, develop crucial services, and collaborate with frontend and product teams to create a reliable and scalable platform. You'll be responsible for designing and implementing core features while ensuring optimal software performance.

We're a Series-C funded company trusted by global enterprises like HPE, HSBC, Visa, Workday, and Oracle. Our platform addresses critical challenges in data management, including scaling issues, cost overruns, and data quality problems. We provide comprehensive insights and monitoring capabilities across various environments.

The ideal candidate will bring 4-6 years of Python experience, strong algorithmic skills, and expertise in frontend technologies like React/Angular. Knowledge of distributed systems and SQL is essential. Experience with AI/ML is a plus.

We offer a collaborative work environment that promotes innovation and excellence, along with competitive benefits including ESOPs, medical insurance, and learning opportunities. Join us in redefining data observability and making a significant impact in the enterprise data management space.

Senior Full Stack Engineer role at Acceldata, building and scaling data observability solutions with Python and React, 4+ years experience required.

Senior Full Stack Engineer

Pioneer and leader in data observability, providing comprehensive insights into data, pipelines and infrastructure across environments.

Acceldata, a pioneer in data observability, is seeking a Senior Platform Engineer to join their innovative team. The company is revolutionizing how enterprises manage and observe data across various environments, serving global customers like HPE, HSBC, Visa, and Workday.

As a Platform Engineer, you'll be at the forefront of developing crucial internal tools and Linux CLI applications, similar to kubectl and docker-cli. Your role involves extending Go-based tools with plugins and creating web applications that integrate seamlessly with customer APIs and services. This position requires expertise in Go programming, with a focus on frameworks like Cobra and Gin.

The ideal candidate brings 2-5 years of experience, with strong knowledge in Go programming paradigms, RESTful web services, and both relational and non-relational databases. Experience with DevOps tools like Docker/Kubernetes and Linux system application development is essential. Proficiency in Big Data Systems or Hadoop components is a plus.

Acceldata offers a compelling work environment focused on solving complex data problems at scale. The company promotes innovation, collaboration, and excellence, while providing comprehensive benefits including ESOPs, medical insurance, and learning support. As a Series-C funded company backed by prominent investors like Insight Partners and Lightspeed, Acceldata presents an excellent opportunity for career growth in the data observability space.

Senior Platform Engineer role at Acceldata focusing on Go-based tool development, Linux CLI applications, and web services integration.

Senior Platform Engineer

Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data across various environments.

Acceldata, a Series-C funded leader in data observability, is seeking a Senior Backend Engineer to join their innovative team. The role focuses on building and scaling their Data Observability suite, working with cutting-edge technologies in the data management space. The position offers an opportunity to work with global customers like HPE, HSBC, Visa, and Workday, solving complex data problems at scale.

The ideal candidate will have 4-8 years of experience with JVM languages and strong expertise in distributed systems and databases. You'll be responsible for designing low-latency APIs, optimizing data engines, and maintaining core platform features. The role requires collaboration with frontend and product teams to create a reliable and scalable platform.

Acceldata offers a comprehensive benefits package including ESOPs, medical insurance, and learning support. The company promotes a healthy work environment that values innovation, commitment, and accountability. Their platform helps data teams manage products effectively by ensuring data quality, preventing failures, and controlling costs.

Working at Acceldata means joining a fast-growing company that's redefining data observability for enterprise systems. Their solutions are delivered as SaaS products and have been embraced by numerous global enterprises. The company culture emphasizes strong work ethics, high standards of excellence, and a collaborative spirit.

Senior Backend Engineer role at Acceldata, building and scaling data observability solutions with 4-8 years JVM experience required.

Senior Backend Engineer

Acceldata is revolutionizing data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organization's unique needs.

Acceldata is revolutionizing data observability for enterprises, offering tailored solutions for managing and observing data. As a Product Specialist, you'll play a crucial role in resolving complex customer challenges across various data integrations, including Data Catalogs, Databases, Data Lakes/Lakehouses, Orchestration, SQL Query and Analytics Engines, Security, Streaming, Data Warehouses, and Business Intelligence platforms. You'll focus on delivering faster resolutions and ensuring seamless data operations, enabling customers to monitor, predict, and optimize their data systems for impactful business outcomes. 

The ideal candidate should have 10+ years of experience in customer-facing support, post-sales, technical architecture, or consulting roles, with a focus on Cloud Native and Data Lakes. Proficiency in cloud platforms (AWS, GCP, Azure), Kubernetes, Docker, and various Hadoop components is required. You'll need excellent communication skills and the ability to handle pressure while demonstrating empathy for customer situations.

Working at Acceldata, you'll collaborate with innovative minds in data observability, solve complex technical problems, and gain invaluable experience in managing distributed, scalable environments. You'll be responsible for ensuring seamless support operations for Gold and Enterprise customers, providing proactive solutions that empower organizations to maximize their data infrastructure.

This role offers the opportunity to work with cutting-edge data solutions in a fast-paced, dynamic environment, making a lasting impact on customer success and Acceldata's evolution in data observability.

Expert Support Engineer / Product Specialist: Hadoop SME at Acceldata, revolutionizing data observability for enterprises.

Acceldata Engineering Jobs

Pioneer in data observability, providing comprehensive insights for data management across various environments.