Software Engineer - Observability (Pulse)
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Before you apply
SalaryNo pay range posted
LocationCampbell, CA
Work modeon-site
Typefull-time
DepartmentEngineering, R&D (Dev)
Company size33+ people
PostedOct 12, 2026 · 3w ago
Verified live2d ago
May no longer be actively hiring
81% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
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
Skills
Java
Python
Go
About the role
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:
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Design, develop, and maintain large-scale, scalable software applications.
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Write clean, efficient, and well-tested code following industry best practices.
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Collaborate with cross-functional teams to define, design, and deliver new features.
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Troubleshoot, debug, and resolve production issues in a timely manner.
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Participate in code reviews to maintain code quality and share knowledge.
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Continuously learn and adopt new technologies, tools, and frameworks.
Required Qualifications & Skills:
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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:
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Ownership and accountability
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Analytical thinking
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Collaboration and teamwork
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Adaptability and continuous learning
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Customer-focused mindset