Senior Platform Engineer

Elanco; Hart; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the biotechnology field seeks a Principal Platform Engineer to enhance platform and automation capabilities. Responsibilities include collaborating on engineering initiatives, mentoring junior engineers, and driving security and reliability with modern practices like CI/CD. The successful candidate will have software product delivery experience and programming skills, particularly in Typescript and Python, along with an eagerness to learn AI/ML technologies.

Benefits

Opportunities for coaching and mentoring

Diversity and inclusion commitment

Qualifications

• Proven experience in delivering software products.
• Experience with Typescript and Python, AI/ML knowledge is a plus.
• Strong organizational and communication skills.

Responsibilities

• Build and support platform engineering responsibilities.
• Engage in hands-on coding, governance, and maintenance.
• Design and develop solutions to automate processes.

Skills

Experience with programming languages

Effective communication skills

Agile methodologies

Education

Proven experience in delivering software products

Tools

Terraform

Ansible

Packer

CI/CD tools

AI tools (TensorFlow, PyTorch)

Cloud platforms (Azure, Google Cloud)

Job description

Social network you want to login/join with:

Work with Principal Platform Engineer to help drive the direction of platform and automation capabilities.

Collaborate with a diverse team on some of Elanco’s most exciting engineering initiatives, helping to drive security, reliability, and efficiency using the latest technology.

Identify continuous improvement opportunities in our core ecosystem, exploring new ways to enhance the application team and developer experience.

Contribute your expertise within a talented engineering team and help shape initiatives to better enable our vision of security, reliability, and efficiency.

Follow the value mentality with opportunities to work across engineering teams, understanding the perspectives of application and operational engineering teams.

Provide coaching and mentoring to less senior team members to foster development and continuous growth within the team.

Daily / Monthly Responsibilities

Build and support platform engineering responsibilities, ensuring robust support integrated into standard incident processes as products mature.

Engage in hands-on coding, governance, and maintenance of systems.

Work as part of a scrum team to deliver high-quality technical solutions.

Design and develop solutions to automate manual IT and business processes.

Modernize software development processes using CI/CD techniques to ensure efficient and high-quality delivery.

Partner with key service providers to support the adoption of automation capabilities.

Collaborate with application health and information security teams to identify opportunities and mitigate risks.

Mentor junior engineers and students to build a strong, connected organization.

Support application teams internally and externally, helping resolve barriers related to building, deployment, and utilization of engineering products.

Develop sound solutions for complex technical issues.

What You Need to Succeed (minimum qualifications):

Proven experience in delivering software products.

Experience with programming languages such as Typescript and Python, with a strong background in either.

Willingness to learn AI/ML frameworks like TensorFlow and PyTorch (prior experience not required).

A passion for AI and staying current with the latest research, trends, and technologies.

Operational experience maintaining and supporting internal products.

Experience working within a DevOps team and familiarity with modern practices like CI/CD, TDD, and SDLC.

Effective communication skills with technical and non-technical stakeholders.

Experience working in an agile environment.

Proven ability to define and implement large-scale digital solutions.

Strong organizational and communication skills to convey complex technical topics clearly.

Preferred qualifications:

Experience with AI and machine learning frameworks (TensorFlow, PyTorch).

Experience deploying AI solutions in real-world applications.

Familiarity with cloud platforms (Azure, Google Cloud) and AI tools.

Hands-on experience with Terraform, Ansible, and Packer.

Knowledge of cloud cognitive services (Azure Vision, Google Vision AI).

Understanding of authentication and authorization protocols.

Experience supporting digital platforms, including integrations, release management, testing, and data obfuscation.

Additional Information:

Travel may be required occasionally.

We encourage candidates from underrepresented groups to apply, even if they do not meet every qualification, as we are committed to diversity and inclusion.