Software Engineer

About Us  Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today's 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), Hershey's, Dun & Bradstreet, and many more.
About Acceldata At Acceldata, we are redefining how enterprises manage, observe, and optimize their data platforms. Our mission is to deliver a unified enterprise-grade data observability and modernization platform that integrates seamlessly across cloud, hybrid, and on-premises environments. 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 organizations run complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in.
About the Role We are seeking a Software Engineer with a minimum of 3 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 authorization.
Why Join Us At Acceldata, you won't just be writing code, you'll be shaping the foundation of modern data platforms used by some of the world's largest enterprises. You'll 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 optimized 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 you're 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

• Design, develop, and maintain high-quality software for the Open Source Data Platform.
• Collaborate with cross-functional teams to define, design, and implement new features.
• Utilize mandatory Linux skills and expertise.
• Write clean, well-tested, and efficient code in Java, Python, or Scala.
• Participate in code reviews and contribute to architectural discussions.
• Debug and resolve technical issues, ensuring optimal performance and stability.
• Continuously learn and stay up-to-date with industry best practices and emerging technologies.
• Work across diverse environments: Bare Metals, VM, and Kubernetes.

Mandatory Skills & Qualifications

• Mandatory proficiency in Linux to facilitate code deployment and execution.
• Familiarity with Kubernetes, Docker, and cloud environments is a plus.
• Extensive hands-on experience in programming with either Java or Scala and Python.
• Developed and prepared project build models associated with Maven, Gradle, or SBT.
• Experienced in Github & Nexus management and its use cases.
• Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment.
• In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing.
• Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume.
• Demonstrated fluency in English communication.
• Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.
• Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.

Desired Skills (Bonus)

• Contributed to Apache or open source projects
• Possess experience with Bigdata stacks or components and deployed applications.
• Developed in-house automation for platform management.

$70,000 - $100,000 a year 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 special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life 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 benefit options for health, dental, and vision coverage - Supplemental Benefits - Apple Air Mac Equipment - Office gym access (includes workout equipment, basketball court, and showers) - Becoming part of the team that coined the term "Data Observability" We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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