Platform AI Engineer in London

Platform AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
HCLTech

At a Glance

  • Tasks: Develop and optimise tools for software development, ensuring seamless integration and deployment.
  • Company: Join HCLTech, a global leader in technology with a diverse workforce.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborative culture with excellent career growth opportunities.
  • Why this job: Make an impact by innovating with cutting-edge AI technologies in a dynamic environment.
  • Qualifications: Proficiency in programming languages and experience with CI/CD tools required.

The predicted salary is between 60000 - 80000 £ per year.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products.

We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.

Consolidated revenues as of $13+ billion.

For more information on how we process your personal data, please refer to HCLTech’ s

Candidate Data Privacy Notice.

Job Overview

A Platform Engineer is responsible for developing, maintaining, and optimizing the tools and systems that support the software development lifecycle.

This role focuses on creating efficient, scalable, and reliable platforms that enhance the productivity of development teams and ensure seamless integration and deployment of applications.

Responsibilities

  • Tool Development: Design, develop, and maintain tools that support software development, testing, and deployment processes.
  • Automation: Implement automation solutions to streamline workflows and reduce manual intervention.
  • Integration: Ensure seamless integration of tools with existing systems and platforms.
  • Monitoring and Maintenance: Monitor the performance of tools and systems, troubleshoot issues, and perform regular maintenance to ensure reliability.
  • Collaboration: Work closely with development, operations, and quality assurance teams to understand their needs and provide effective solutions.
  • Documentation: Create and maintain documentation for tools and processes to ensure clear communication and knowledge sharing.
  • Innovation: Stay updated with the latest technologies and best practices in platform engineering and tool development.
  • Security: Implement security measures to protect tools and systems from potential threats.
  • Training and Support: Provide training and support to team members on the use of tools and systems.
  • Technical Skills
  • Programming Languages: Proficiency in languages like Python, Java, Groovy, or Go.
  • Operating Systems: Proficiency in Linux(RHEL) and Windows systems.
  • SDLC Tools: Experience with tools such as Jira, Confluence, Bitbucket, Nexus, Zephyr.
  • CI/CD Tools: Experience with tools such as Jenkins, Bamboo, Git Lab, Ansible.
  • Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform.
  • Security: Experience with tools for delivering SCA, SAST, DAST capabilities.
  • Monitoring and Logging: Proficiency with tools like Splunk, Dynatrace, Datadog, Prometheus, Grafana.
  • Version Control: Strong understanding of Git and version control practices.
  • Scripting: Skills in scripting languages like Bash, Power Shell, or Perl.
  • Containerization: Familiarity with Docker and orchestration tools like Kubernetes.
  • AI Skills
  • AI-Assisted Coding and

Scripting: Use AI coding assistants to accelerate Python, Bash, Power Shell, Groovy, and pipeline script development while validating generated code for correctness, security, and maintainability.

  • Prompt Engineering for Engineering Workflows: Create clear prompts for troubleshooting, documentation, and operational runbooks to improve speed and consistency.
  • AIOps and
  • Intelligent

Observability: Apply AI to analyze logs, metrics, traces, alerts, and incident history to detect anomalies, identify root causes, reduce noise, and improve mean time to resolution.

  • AI-Enhanced CI/CD Optimization: Use AI to identify flaky tests, optimize build and deployment pipelines, review pipeline configuration, estimate deployment risk, and recommend rollback or release strategies.
  • Infrastructure as Code Generation and

Review: Leverage AI to draft, refactor, and review Terraform, Ansible, Kubernetes, and cloud configuration templates while enforcing standards and guardrails.

  • AI-Driven Security and Compliance: Use AI-assisted scanning and analysis to support SCA, SAST, DAST, secrets detection, cloud misconfiguration checks, and remediation planning.
  • Knowledge Management and
  • Documentation

Automation: Use AI to summarize technical discussions, generate onboarding guides, maintain tool documentation, and convert operational knowledge into reusable self-service content.

  • AI Workflow

Automation: Design AI-assisted automations and lightweight agents that reduce repetitive manual tasks across ticket triage, environment provisioning, incident response, and developer support.

  • Soft Skills
  • Collaboration: Excellent teamwork and communication skills to work effectively with cross‑functional teams.
  • Problem‑Solving: Strong analytical and troubleshooting abilities to resolve issues quickly.
  • Adaptability: Ability to adapt to new technologies and methodologies in a fast‑paced environment.
  • Attention to Detail: Precision in managing configurations and deployments to avoid errors.
  • Continuous Learning: Commitment to staying updated with the latest trends and tools in platform engineering.
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Platform AI Engineer in London employer: HCLTech

HCLTech is an excellent employer for those looking to advance their careers in cloud and infrastructure migration. With a strong focus on professional development, employees benefit from competitive compensation and a collaborative work culture that encourages innovation and growth. Located in a dynamic environment, HCLTech offers unique opportunities to work on cutting-edge technology projects while ensuring a supportive atmosphere for personal and professional advancement.

HCLTech

Contact Details:

HCLTech Recruitment Team

We think you need these skills to ace Platform AI Engineer in London

Tool Development
Automation Solutions
Integration of Tools
Monitoring and Maintenance
Collaboration with Cross-Functional Teams
Documentation Creation and Maintenance
Security Implementation