Senior Infrastructure Engineer

Mirai Talent; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

An innovative AI company is seeking a talented Senior Infrastructure Engineer to enhance their technological landscape. This role involves developing robust APIs, designing cloud infrastructures, and managing AI workloads. You'll be part of a forward-thinking team that leverages advanced AI capabilities to provide effective solutions. If you're passionate about technology and want to make a significant impact in a dynamic environment, this position offers the perfect opportunity to grow your career while contributing to transformative projects.

Benefits

Equity

Ownership and Impact

Contributions to a pension scheme

Regular team-building activities

Annual retreat

34 days total leave including birthday

Qualifications

• Strong skills in Python, FastAPI, and Pydantic for backend development.
• Familiarity with AWS services and Terraform for cloud infrastructure.
• Experience with event-driven architectures and data engineering.

Responsibilities

• Develop robust APIs and services using Python and FastAPI.
• Design and optimize cloud-based infrastructures for AI solutions.
• Architect scalable compute solutions for real-time processing.

Skills

Python

FastAPI

Pydantic

Event-driven architecture

Data engineering

Security awareness

Workflow orchestration

Education

Experience in backend development

Familiarity with cloud services

Knowledge of communication protocols

Tools

AWS

Terraform

Kafka

Redis Streams

Kubernetes

Job description

This range is provided by Mirai Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Mirai Talent

• Equity
• Ownership and Impact!

About the Role:

We are a forward-thinking AI company dedicated to transforming how individuals and small businesses obtain essential support. Our unique platform combines advanced AI capabilities with the expertise of human professionals to deliver effective solutions at a fraction of typical costs.

As we continue to grow and expand globally, we’re looking for a talented Senior Infrastructure Engineer to play a pivotal role in shaping our technological landscape.

Key Responsibilities:

• Backend System Enhancement: Develop robust APIs and services using Python (FastAPI, Pydantic) to integrate with our advanced AI systems.
• Infrastructure Development: Design and optimize cloud-based infrastructures that support our AI platform and automation services.
• AI Workload Management: Architect scalable compute solutions to enable efficient processing and real-time interactions.
• Event-Driven Architecture: Build and maintain systems that facilitate scalable and real-time data processing.
• Efficient Workflow Management: Implement solutions to streamline complex AI processes and facilitate automation.
• Real-Time Communication: Enhance communication frameworks to improve user experience across our platforms.
• Document Management Solutions: Develop indexing and retrieval systems for efficient document handling.
• Data Pipeline Creation: Design ETL pipelines to collect and process data from a variety of sources.
• Infrastructure Decision-Making: Advocate for architectural decisions that ensure scalability, reliability, and cost efficiency.
• Support for Research Teams: Provide infrastructure and tools that empower our AI and data research initiatives.
• Full-Stack Development: TypeScript, React, Next.js, Tailwind, Prisma
• Cloud Solutions: AWS, Google Cloud, Serverless Architectures

Qualifications:

• Backend Development Proficiency: Strong skills in Python, FastAPI, and Pydantic.
• Infrastructure Expertise: Familiarity with AWS services (Lambda, S3, ECS, etc.) and Terraform.
• Event-Driven Systems Understanding: Experience designing and implementing event-driven architectures using tools like Kafka or Redis Streams.
• Workflow Orchestration: Knowledge of managing solutions for long-running workflows.
• Real-Time Systems Knowledge: Familiarity with communication protocols including WebSockets.
• Data Engineering Experience: Ability to build scalable ETL pipelines and work with diverse data types.
• Security Awareness: Understanding of cloud security practices and infrastructure reliability.
• Experience in optimising and managing AI workloads in a production environment.
• Familiarity with vector databases.
• Proficiency with Kubernetes for application management.
• Previous exposure to technology solutions in a regulatory context is advantageous.
• 34 days total, including your birthday!
• Opportunity to participate in our equity programme
• Contributions to a pension scheme
• Regular team-building activities, socials, and an annual retreat!

If you are passionate about technology and looking to make a real impact, we would love to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Professional Services

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