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oracle

Senior Lead Software Engineer - Python / Go

J.P. Morgan
Glasgow, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
AWSAzureGCPDockerKubernetesECS
Free

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Job Responsibilities

  • Provide technical leadership and guidance to the cloud engineering team.
  • Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
  • Drive adoption of modern Developer Experience (DevEx) practices and evolve CI/CD and developer tooling.
  • Align platform strategy and roadmaps with business priorities and lead cross-functional modernization initiatives.
  • Evaluate, integrate, and govern strategic tooling to improve developer experience.
  • Collaborate with development teams to identify and eliminate platform bottlenecks.
  • Define and promote paved paths and self-service workflows for developers.
  • Implement real-time telemetry pipelines and workflows for platform observability and analytics.
  • Champion adoption of productivity tools through documentation, training, and engagement with the developer community.
  • Standardize use of AI-assisted coding tools and AI-powered development ecosystems.
  • Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts.
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
  • Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
  • Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
  • Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
  • Programming skills in Golang or Python, with understanding of software development best practices.
  • Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
  • Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
  • Deep understanding of cloud infrastructure design, architecture, and migration strategies.
  • Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering.
  • Preferred Qualifications, Capabilities, and Skills:
  • Master’s degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
  • Experience implementing multi-cloud architectures and leading end-to-end platform development.
  • Background in designing and developing scalable AI/ML or Data platforms.
  • Experience with automation and workflow orchestration for operational efficiency.
  • Published contributions to open-source or industry-recognized projects.
  • Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling.
  • Experience enhancing AI-powered coding ecosystems with enterprise-specific tooling to improve developer productivity and platform engineering workflows.

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