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Sr. Software Engineer Engineering · San Jose · Hybrid

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Skydrop
Full Time position
Listed on 2026-05-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Sr. Software Engineer

Passionate about solving problems at Kubernetes scale? Join Spectro Cloud and drive the next wave of cloud innovation.

About the Job

We are looking for a talented individual to become an integral part of our Engineering team, shaping the future of our Palette platform. As a software engineer, you will build an always‑on, self‑healing, declarative platform that manages infrastructure and applications. You will design, optimize, and streamline Go‑based microservices that form the foundation of our platform. Proficiency in Kubernetes is required.

Your responsibilities include:

  • Ensuring the seamless operation of our platform through automation, scripting, and rigorous testing.
  • Writing clean, efficient code and maintaining high code quality.
  • Collaborating with cross‑functional teams to create scalable, dependable, and secure solutions.
  • Staying current with industry trends and emerging technologies.
Qualities

Adaptability, tackling complex challenges, navigating dynamic environments, breaking down intricate challenges into manageable steps, delivering value through iterative, test‑and‑learn approaches, and fostering innovation and collaboration.

Qualifications
  • Bachelor’s degree in Computer Science or a related field.
  • 4+ years of experience in software development.
  • Proficiency in at least one modern programming language such as Go or Java.
  • Solid understanding of containerization and orchestration concepts, including Kubernetes.
  • Experience designing and consuming REST APIs.
  • Familiarity with microservices architecture and best practices.
  • Exposure to cloud platforms (AWS, Azure, GCP, etc.).
  • Familiarity with Linux‑based environments and common command‑line tools.
  • Basic knowledge of databases (SQL or No

    SQL) and data modeling principles.
  • Strong problem‑solving skills and ability to work collaboratively.
  • Kubernetes certification (CKA or CKAD) is a plus.
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