Acceldata

Data observability platform improving data reliability

Software Engineer - Observability, Pulse

Software EngineeringUpdated on Nov 12

Full-timeCampbell, CA, USA$100k - $170k /yrIn-person

About the Job

Requirements

A master's degree in Computer Science, Engineering, or a related field is required.
At least 3 years of postgraduate experience is required.
Proficiency in one or more programming languages such as Java, Python, or Go is required.
A strong understanding of data structures, algorithms, and system design is required.
Experience with distributed systems and scalable architectures is required.
Familiarity with RESTful APIs and microservices architecture is required.

Responsibilities

Design, develop, and maintain large-scale, scalable software applications.
Write clean, efficient, and well-tested code following industry best practices.
Collaborate with cross-functional teams to define, design, and deliver new features.
Troubleshoot, debug, and resolve production issues in a timely manner.
Participate in code reviews to maintain code quality and share knowledge.
Continuously learn and adopt new technologies, tools, and frameworks.

Salary Range: 100000 to 170000 (Currency: USD) (Pay period: per-year-salary)

We are looking for a Software Engineer to join the Pulse product team. In this role, you will help build and scale Pulse, our data observability platform, by developing high-quality software, improving system performance, and delivering impactful features that improve data reliability and customer insights.

Product Link: https://www.acceldata.io/pulse

Key Responsibilities:

Design, develop, and maintain large-scale, scalable software applications.

Write clean, efficient, and well-tested code following industry best practices.

Collaborate with cross-functional teams to define, design, and deliver new features.

Troubleshoot, debug, and resolve production issues in a timely manner.

Participate in code reviews to maintain code quality and share knowledge.

Continuously learn and adopt new technologies, tools, and frameworks.

Requirements:

Master’s degree in Computer Science, Engineering, or a related field.

3+ years of postgraduate experience.

Proficiency in one or more programming languages such as Java, Python, or Go.

Strong understanding of data structures, algorithms, and system design.

Experience with distributed systems and scalable architectures.

Familiarity with RESTful APIs and microservices architecture.

Strong problem-solving skills and attention to detail.

Good communication and collaboration skills.

Key Competencies:

Ownership and accountability

Analytical thinking

Collaboration and teamwork

Adaptability and continuous learning

Customer-focused mindset

About the Company

Acceldata

Data observability platform improving data reliability

Acceldata provides a data observability platform for data teams to improve data reliability, monitor data health, and optimize large data infrastructures while reducing costs. It uses machine learning-driven automation to detect issues, perform data quality checks, and deliver actionable insights, integrating with existing data stacks through features like Spend Intelligence, Data Reliability, and Operational Intelligence. The platform differentiates itself by combining data quality, reliability, and cost optimization in one solution for sizable data environments and transitions to open-source technologies, not just monitoring. Its goal is to help organizations maximize the value of their data investments by making data reliable, affordable, and ready for decision-making.

Company size: 201-500
Company stage: Series C
Total funding: $105.6M
Headquarters: Campbell, CA
Founded: 2018

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