B
San Francisco, California, United States· Full-time· Remote
$165K – $330K/yr
PythonMachine LearningAI
A
Active2w ago
Software Engineer - Observability (Pulse)
Role overview
Job description
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.
- Ownership and accountability
- Analytical thinking
- Collaboration and teamwork
- Adaptability and continuous learning
- Customer-focused mindset
Key Competencies:
About this listing
- Source: acceldata's official careers site (via Lever) · last confirmed on the source 31 Oct 2026
- Posted 12 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Master’s degree in Computer Science, Engineering, or a related field
Department · Engineering
Hiring company
acceldata
Technology
Acceldata's platform runs data workloads & AI agents where data lives — observability, governance, & runtime control built in across hybrid clouds.
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