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Remote Release Train Engineer Jobs in Arizona (NOW HIRING)

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with software tools, databases, and programming languages commonly used in ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with software tools, databases, and programming languages commonly used in ...

Manager, Software Engineering

Phoenix, AZ · On-site +1

$195K - $257K/yr

... product release schedules * Perform full lifecycle of team management to attract, engage, retain ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

Proven experience building and managing automated release flows in Azure DevOps (e.g., Pipelines/Releases/Boards) * High proficiency with Terraform and Ansible, including organizing existing code ...

Showing results 41-60

Remote Release Train Engineer information

What is a remote release train engineer?

A Remote Release Train Engineer (RTE) is a servant leader and coach for an Agile Release Train (ART), working remotely to facilitate program-level processes and execution. The RTE helps manage risks, escalates impediments, and ensures alignment across teams to deliver value in large-scale Agile organizations. They organize and facilitate key events like PI Planning, Scrum of Scrums, and System Demos, all while communicating across distributed teams. Working remotely, they use digital tools to collaborate and keep projects on track, ensuring continuous improvement and transparency.

What are the key skills and qualifications needed to thrive as a remote release train engineer?

To thrive as a Remote Release Train Engineer, you need a solid understanding of Agile methodologies (especially SAFe), project management, and experience coordinating large-scale software development initiatives, often backed by a relevant degree and SAFe RTE certification. Familiarity with tools like Jira, Confluence, and virtual collaboration platforms is typically required. Excellent communication, facilitation, and conflict resolution skills help align distributed teams and drive continuous improvement. These skills are crucial for ensuring seamless program execution, stakeholder alignment, and the successful delivery of complex projects in a remote environment.

How does a remote release train engineer ensure effective communication and alignment across distributed Agile teams?

A Remote Release Train Engineer (RTE) plays a crucial role in facilitating collaboration among multiple Agile teams, often spread across different locations and time zones. To ensure effective communication and alignment, RTEs leverage digital tools like virtual whiteboards, video conferencing, and project management platforms to host regular sync meetings, such as PI Planning and Scrum of Scrums. They proactively address potential misunderstandings, foster transparency by sharing updates, and create clear documentation accessible to all stakeholders. Building trust and maintaining open lines of communication are key to keeping everyone aligned and ensuring that program objectives are met.

What is the difference between Remote Release Train Engineer vs Remote Scrum Master?

AspectRemote Release Train EngineerRemote Scrum Master
CertificationsSAFe Program Consultant (SPC), Agile certificationsCSM, PSM, Agile certifications
Work EnvironmentAgile Release Trains, SAFe frameworks, large-scale programsScrum teams, project teams, smaller Agile groups
Industry UsageSoftware, IT, large enterprises adopting SAFeSoftware, IT, startups, small to medium enterprises

The Remote Release Train Engineer and Remote Scrum Master both work within Agile frameworks and require similar certifications. However, the Release Train Engineer focuses on coordinating multiple Agile teams within a large-scale SAFe environment, while the Scrum Master typically supports individual teams. The RTE manages program-level processes, whereas the Scrum Master facilitates team-level Agile practices. Both roles are essential in Agile organizations but differ in scope and scale.

What are popular job titles related to Remote Release Train Engineer jobs in Arizona?

For Remote Release Train Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Release Train Engineer jobs in Arizona look for?

The top searched job categories for Remote Release Train Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Release Train Engineer jobs?

Cities in Arizona with the most Remote Release Train Engineer job openings:

Infographic showing various Remote Release Train Engineer job openings in Arizona as of August 2026, with employment types broken down into 2% As Needed, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 4% In-person, and 96% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Phoenix, AZ • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.