Senior R&D Engineer - DevOps & QA Automation
Senior R&D Engineer - DevOps & QA Automation

Senior R&D Engineer - DevOps & QA Automation

Glasgow Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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ANSYS, Inc.

At a Glance

  • Tasks: Join us to develop and maintain cutting-edge cloud simulation software.
  • Company: Ansys empowers innovators with simulation software for groundbreaking advancements across industries.
  • Benefits: Enjoy flexible work options, a collaborative culture, and opportunities for personal growth.
  • Why this job: Be part of a team that drives innovation and makes a real-world impact.
  • Qualifications: BS in Engineering or Computer Science with relevant experience; strong coding skills required.
  • Other info: Opportunity to mentor interns and work in a dynamic, distributed team environment.

The predicted salary is between 48000 - 72000 £ per year.

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

Summary / Role Purpose

The Senior R&D Engineer – Integration will collaborate with others to produce, extend, and maintain our next generation cloud simulation. In this role, the Senior R&D Engineer will use advanced technical and problem-solving skills to blend QA and DevOps-centric automation with cloud microservices software development. Working across QA and Development teams, the engineer will apply industry best practices to satisfy customer requirements, comply with company process standards, and accomplish development objectives.

Key Duties and Responsibilities

  • Participates in planning, architecture, and research
  • Performs complex development activities that may require extensive analysis in areas including cloud software/service deployment and distributed system maintenance/scaling
  • Employs best practices and helps to maintain them through technical reviews and mentoring
  • Investigates problems discovered by QA or product support and develops solutions
  • Researches and understands the marketing requirements for a product, including target environment, performance criteria and competitive issues. May work with strategic customers or proxies to assess needs and develop solutions
  • Uses modern cloud automation best practices and tooling
  • Works independently with minimal supervision and may take on some planning and mentoring responsibilities
  • May be responsible for managing interns or co-ops but typically does not have direct reports
  • Root cause investigation, automated deployment testing, production incident solving
  • Participates with on call rotation as alerts arise

Minimum Education/Certification Requirements and Experience

  • BS in Engineering, Computer Science, or related field with 5 years’ experience, MS with 3 years’ experience, or PhD with 1 year experience
  • Commercial experience with software design and development methodologies
  • CICD development experiences:
  • *nix development environments
  • Container image definition and deployments
  • Python and/or Bash scripting
  • at least 1 CICD tools pipeline definition as code
  • at least 1 Infrastructure as Code (IaC) tooling ecosystem

Preferred Qualifications and Skills

  • Good communication and interpersonal skills
  • Excellent technical knowledge, particularly in platform engineering
  • Commercial experience with Java, Python and/or Go
  • Experience with web development, aspect oriented programming, software configuration management, scripting languages, data structures and algorithms
  • Experience with github actions or other YAML-defined CICD tools
  • Experience with frameworks like Springboot or Fast Api
  • Experience with testing frameworks/packages like Junit, Mockito, pyfixtures, or locust
  • Understanding of what is under the hood of most modern frameworks (including websockets)
  • Experience with one or more industry standard Cloud Service Providers, including AWS, Azure, or Google Cloud
  • Experience delivering high-quality products in a large-scale commercial software development environment
  • Experience with Kubernetes and commercial public cloud services deployments
  • Understanding of customer requirements and tools used in this domain
  • Ability to work collaboratively in a geographically distributed team

At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: our commitments to stakeholders, our values that guide how we work together, and our actions to deliver results. As ONE Ansys, we are powering innovation that drives human advancement.

Our Commitments:

  • Amaze with innovative products and solutions
  • Make our customers incredibly successful
  • Act with integrity
  • Ensure employees thrive and shareholders prosper

Our Values:

  • Adaptability: Be open, welcome what’s next
  • Courage: Be courageous, move forward passionately
  • Generosity: Be generous, share, listen, serve
  • Authenticity: Be you, make us stronger

Our Actions:

  • We commit to audacious goals
  • We work seamlessly as a team
  • We demonstrate mastery
  • We deliver outstanding results
ANSYS, Inc.

Contact Detail:

ANSYS, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior R&D Engineer - DevOps & QA Automation

✨Tip Number 1

Familiarise yourself with the latest cloud automation tools and practices. Since the role involves working with cloud microservices, having hands-on experience with platforms like AWS, Azure, or Google Cloud will give you a significant edge.

✨Tip Number 2

Brush up on your CI/CD pipeline skills. Understanding how to define pipelines as code and using tools like GitHub Actions will be crucial for this position, so consider working on personal projects that incorporate these technologies.

✨Tip Number 3

Network with professionals in the DevOps and QA automation fields. Engaging with communities on platforms like LinkedIn or attending relevant meetups can help you gain insights into industry best practices and potentially connect you with current employees at Ansys.

✨Tip Number 4

Prepare to discuss your problem-solving approach during interviews. Given the emphasis on investigating issues and developing solutions, being able to articulate your thought process and past experiences will demonstrate your fit for the role.

We think you need these skills to ace Senior R&D Engineer - DevOps & QA Automation

Cloud Software Development
DevOps Practices
QA Automation
CICD Pipeline Definition
Infrastructure as Code (IaC)
Containerisation (Docker, Kubernetes)
Python and/or Bash Scripting
Java or Go Programming
Web Development Frameworks (Springboot, Fast API)
Testing Frameworks (JUnit, Mockito, Pyfixtures, Locust)
Problem-Solving Skills
Technical Mentoring
Root Cause Analysis
Collaboration in Distributed Teams
Understanding of Cloud Service Providers (AWS, Azure, Google Cloud)
Software Configuration Management
Data Structures and Algorithms
Communication and Interpersonal Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, QA automation, and cloud software development. Use keywords from the job description to demonstrate that you meet the specific requirements.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with Ansys' mission. Mention specific projects or experiences that showcase your problem-solving abilities and technical expertise.

Showcase Technical Skills: Clearly outline your experience with CICD tools, scripting languages, and cloud service providers. Provide examples of how you've used these skills in previous roles to solve complex problems or improve processes.

Highlight Collaboration Experience: Since the role involves working across teams, emphasise any past experiences where you've successfully collaborated with others. This could include mentoring, participating in planning sessions, or working in geographically distributed teams.

How to prepare for a job interview at ANSYS, Inc.

✨Showcase Your Technical Skills

Make sure to highlight your experience with cloud automation, CI/CD tools, and scripting languages like Python or Bash. Be prepared to discuss specific projects where you've applied these skills, as this role requires a strong technical foundation.

✨Understand the Company’s Vision

Familiarise yourself with Ansys' mission and values. Understanding how their simulation technology impacts various industries will help you align your answers with their goals and demonstrate your enthusiasm for the role.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving abilities, especially in relation to QA and DevOps. Think of examples from your past experiences where you successfully identified and resolved complex issues.

✨Emphasise Collaboration and Communication

Since the role involves working across teams, be ready to discuss your experience in collaborative environments. Highlight instances where your communication skills helped bridge gaps between development and QA teams.

Senior R&D Engineer - DevOps & QA Automation
ANSYS, Inc.
Location: Glasgow
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