Job Title

About Us About Acceldata Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors, we are a Series-C funded company headquartered in Silicon Valley. Our Enterprise Data Observability Platformthe first of its kindhelps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power todays most critical technologies, including AI, LLMs, Analytics, and DataOps. Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. The Acceldata Open Data Platform (ODP) brings together the best of the modern data ecosystem, including technologies such as Hadoop, Spark, Hive, Trino, Kafka, NiFi, MLFlow, Pinot and more, to help organisations run complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in. About the Role We are seeking a Senior Software Engineer with a minimum of 7 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure. This is a full-time, on-site position, open to candidates with valid work authorisation. Why Join Us At Acceldata, you wont just be writing code; youll be shaping the foundation of modern data platforms used by some of the worlds largest enterprises. Youll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimised across hybrid and cloud ecosystems. This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If youre looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem - Acceldata is where you belong. Responsibilities Lead the design, development, and implementation of complex features for the Open Source Data Platform. Architect scalable and robust solutions, ensuring high performance and reliability. Mentor and guide junior software engineers, fostering a culture of continuous learning and growth. Drive technical discussions and provide expertise in technology selection and best practices. Contribute to the strategic direction of the Open Source Data Platform project. Perform thorough code reviews, ensuring code quality, maintainability, and adherence to standards. Work across diverse environments: Bare Metals, VM, and Kubernetes. Mandatory Skills & Qualifications Linux proficiency for automation and efficient troubleshooting. Familiarity with Kubernetes, Docker, and cloud environments. Ability to manage threads and debug issues related to deadlocks or memory leaks. Strong comprehension of garbage collection tuning and management challenges. Extensive hands-on experience with advanced Java, Scala, or Python, with project build experience using Maven, Gradle, or SBT. Experience with Github & Nexus management and its use cases. Proficiency in software engineering, database concepts, virtualization and architectural patterns. Significant contributions to past projects and a track record of mentoring junior engineers. Proven ability to fix bugs and develop new features within complex software systems. Experience with Big data stack or its ecosystem components and relevant frameworks. Fluent English communication and the ability to present technical accomplishments to senior leadership. Strong collaboration skills with internal teams, external contributors, and the broader open-source community. Desired Skills (Bonus) Contributions or committer role in Apache projects (e.g., bug fixes, feature development, documentation). Ability to identify performance bottlenecks in big data applications and frameworks. Experience with migration of applications, Hadoop-based distributions, or data streaming platforms. Familiarity with distributed systems and scalable data processing architectures. Compensation and Benefits $100,000 - $140,000 a year The hiring pay range provides a guide for what we would reasonably pay for the position. Pay is determined by various factors including market demand, applicable skills, work experience and education, location, company budget, and in-demand skill sets. Equal Opportunity At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other status that violates equal opportunity laws. We are proud to be an equitable workplace that welcomes individuals from all backgrounds if they fit the designated roles and responsibilities. #LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an out-of-the-box mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! We also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer: PTO Plan with unlimited negative balance RRSP Plan Up to 100% employer-paid health, dental, and vision coverage Supplemental Benefits Apple Mac equipment Office gym access (with workout equipment, basketball court, and showers) Becoming part of the team that coined the term Data Observability! #J-18808-Ljbffr