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Software Engineer - Observability (Pulse)

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Onsite

Software Engineer - Observability (Pulse)

Acceldata

Software Engineer - Observability (Pulse)

Skills

PythonGolangJavaMicroservices

6 days ago

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Important information


Contract type:

Permanent

Salary:

$80,000 – $100,000 / year

Location:

Campbell, CA, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


We are looking for a Software Engineer to join the Pulse product team at Acceldata. In this role, you will contribute to building and scaling Pulse, our data observability platform, by developing high-quality software, enhancing system performance, and delivering impactful features that improve data reliability and insights for customers.

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.

Required Qualifications & Skills:

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

$80,000 - $100,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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