Remote opportunity at
Ultima GenomicsSr. Software Integration Engineer
Ultima Genomics is expanding its engineering group and seeking a Sr. Software Integration Engineer for a remote position, with a preferred location in the San Francisco…
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About This Role
Ultima Genomics is expanding its engineering group and seeking a Sr. Software Integration Engineer for a remote position, with a preferred location in the San Francisco Bay Area. This full-time role focuses on developing automated systems and AI agents to handle software testing, release cycles, deployment pipelines, and availability tracking across multiple components. The person in this position will also establish and maintain a centralized software knowledge base to function…
Job Description
Ultima Genomics is expanding its engineering group and seeking a Sr. Software Integration Engineer for a remote position, with a preferred location in the San Francisco Bay Area. This full-time role focuses on developing automated systems and AI agents to handle software testing, release cycles, deployment pipelines, and availability tracking across multiple components. The person in this position will also establish and maintain a centralized software knowledge base to function as the single source of truth for the organization.
This opportunity is well-suited for builders who enjoy turning ambiguous processes into reliable automated workflows and systems thinkers capable of organizing complex technical data. Ultima Genomics operates in the life sciences sector, developing large-scale sequencing technology to reduce costs and advance human health. The company is backed by major global investors and brings together diverse experts across scientific and technical fields.
Responsibilities
- Design and build automated workflows and AI agents to monitor software availability, release readiness, testing, and deployment across multiple components
- Ensure proper orchestration, observability, and error handling to identify edge cases and system failures
- Create and maintain a structured knowledge base that serves as a queryable single source of truth for the entire software estate
- Integrate internal systems with external platforms including GitHub, Atlassian tools, and Microsoft 365
- Develop middleware and connectors between AI agents and third-party or internal systems to facilitate automated data transfer and process handoffs
- Independently discover and implement automation opportunities related to software management
Requirements
- 5 or more years of software engineering background
- Hands-on experience developing and maintaining workflow orchestration or automation systems
- Strong proficiency in shell scripting and at least one high-level language such as Python within a Linux environment
- Experience building LLM-powered applications or AI agents using LLM APIs or agent frameworks, including tool orchestration and usage
- Familiarity with API integrations for platforms like GitHub, Microsoft 365, and Atlassian tools
Qualifications
- Hold a bachelor's degree in computer science or a related engineering discipline
- Understanding of quality assurance, software release, or deployment procedures
- Familiarity with cloud computing infrastructure such as AWS
Core Skills
Benefits
- Medical, dental, vision, life, and disability insurance
- 401(k) retirement plan
- Flexible spending and health savings accounts
- Paid time off and paid holidays
- Employee assistance program alongside other company benefits
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this is a full-time remote role, with a preferred location in the San Francisco Bay Area.
What is the salary for the Sr. Software Integration Engineer role?
For US-based hires, the base salary ranges between $120,000 and $160,000, determined by experience, qualifications, skills, and location. This does not include potential bonus, equity, or benefits.
What experience is required for this job?
Applicants must have at least 5 years of software engineering experience, including background in building workflow orchestration or automation systems, proficiency in Python or another high-level language with shell scripting in Linux, and experience developing AI agents or LLM-powered applications.
Sample Interview Questions
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