Software Engineer - Open Data Platform (ODP)
Job Description
- Proficiency in programming languages such as Java, Python, Scala, or Go
- Experience with distributed computing and high-performance applications
- Experience ideally within the Apache ecosystem
- Build end-to-end observability for enterprise data stacks
- 4+ years of experience in software engineering
- At least 2-3 years actively contributing to open-source projects
- Work across diverse environments like Hadoop, Kubernetes, Snowflake, Databricks, and multi-cloud platforms
- Strong coding, debugging, and troubleshooting skills
- Ability to work in fast-moving, customer-facing environments
- Communicate effectively with senior leadership
- Strong ability to collaborate with internal teams and the open-source community
- Impact at scale by working on critical systems for Fortune 500 companies
- Open and modern stack with Apache-aligned innovation
- Opportunities for learning and growth by solving problems across performance, reliability, cost, and cloud adoption
- Flexibility for cloud, hybrid, and on-prem environments
- End-to-end ownership of responsibilities
At Acceldata, we are revolutionising data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organisation's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.
About the Role: We’re hiring a software engineer to build and scale the Acceldata Open Data Platform (ODP) - an enterprise-grade, open-source, aligned platform that powers cloud, hybrid, and on-premises environments. You’ll work on deep technology challenges, from distributed systems to observability, helping global customers modernise their platforms without lock-in.
This role offers the opportunity to build cutting-edge data solutions, influence the open-source ecosystem, and collaborate with industry experts. Your contributions will have a lasting impact on both the data platform and the broader open-source community.
What You’ll Do
- Build end-to-end observability: health, quality, lineage, cost, and anomaly detection for enterprise data stacks.
- 4+ years of experience in software engineering, with at least 2-3 years actively contributing to open-source projects, ideally within the Apache ecosystem.
- Proficiency in programming languages such as Java, Python, Scala, or Go is preferred. Experience with distributed computing and high-performance applications is also highly desired.
- Work across diverse environments: Hadoop, Kubernetes, Snowflake, Databricks, and multi-cloud platforms.
What We’re Looking For
- Ability to work in fast-moving, customer-facing environments where impact is direct and visible.
- Strong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment.
- Communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
- Strong ability to collaborate with internal teams, external contributors, and the broader open-source community.
Why Join Us
- Impact at scale: Work on critical systems for Fortune 500 companies.
- Open & modern stack: No vendor lock-in, Apache-aligned innovation.
- Learning & growth: Solve problems across performance, reliability, cost, and cloud adoption.
- Flexibility: Cloud, hybrid, and on-prem - ODP is designed for today’s enterprise reality.
- Ownership: You’ll have end-to-end responsibility, not ticket-taking.
