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Acceldata

Software Engineer - Observability (Pulse)

  • Seen live on Acceldata's site yesterday
  • Mid level
Pay
$80k to $100k a year USD
Location
Campbell, CA
Open for
17+ days
First seen
Oct 18, 2026
Apply on Acceldata's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Acceldata's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Acceldata, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What the posting discloses

Pay
$80k to $100k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

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

  • 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

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