Senior Backend Engineer (m/f/d)

Allianz; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Allianz Partners is seeking a Backend Engineer in Advanced Analytics (DA3) to join our central AI team and build reusable AI foundations and production-grade AI services on a global scale.

You will design, ship, and operate cloud-native systems with Docker/Kubernetes, Azure services, and CI/CD pipelines, working across ML engineers and DevOps to raise our standards.

This role emphasizes security, observability, and resilience in regulated environments while collaborating with global teams.

Formación

• 5+ years of professional backend engineering experience.
• Expert-level Python with FastAPI and SQLAlchemy.
• Production experience with Docker and Kubernetes.
• Experience with Azure cloud services (AKS, ACR, Key Vault, Monitor, APIM).
• Strong CI/CD experience with GitHub Actions.
• Familiarity with PostgreSQL, schema design, and performance tuning.
• Familiarity with Kafka and distributed architectures.
• Strong troubleshooting and operational mindset.

Responsabilidades

• Design, build, and maintain backend services and REST APIs.
• Deliver cloud-native microservices using Docker and Kubernetes.
• Build and maintain CI/CD pipelines with automated tests and gates.
• Integrate API exposure via gateway patterns and versioning (APIM).
• Establish observability with Azure Monitor and Application Insights.
• Diagnose and resolve issues across microservices, clusters, and pipelines.
• Embed security and resilience: secrets management and least privilege.
• Engineer for regulated environments with auditable changes.
• Collaborate with ML, Platform Engineers, AI Architects, and DevOps.

Conocimientos

Backend engineering

Python (expert)

Docker & Kubernetes

CI/CD pipelines

Azure cloud

PostgreSQL

Distributed systems

REST APIs

MLOps / AI platform

Herramientas

GitHub Actions

ArgoCD

Kafka

SQLAlchemy

FastAPI

Pydantic

APIM

Descripción del empleo

Key responsibilities

As a Backend Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office area at Allianz Partners, you will join our central AI team to build reusable AI foundations and production‑grade AI services on a global scale.

We are looking for an engineer with strong software engineering fundamentals and hands‑on cloud and DevOps expertise to design, ship, and operate cloud‑native systems that power AI‑enabled solutions across the organization.

You will work in a cross‑functional environment with ML Engineers, Platform Engineers, AI Architects, and DevOps, taking end‑to‑end ownership from design through reliable operations.

In this role, you will help establish consistent engineering standards for security, observability, and delivery, and you will contribute to scalable internal platforms and shared services that accelerate teams worldwide.

As a Backend Engineer, you are in charge of the following responsibilities:

• Design, build, and maintain backend services and REST APIs powering AI‑enabled solutions: clean interfaces, robust domain models, and maintainable data access patterns.
• Deliver cloud‑native microservices using Docker and Kubernetes, with attention to scalability, resilience, and cost.
• Build and maintain CI/CD pipelines with automated tests, quality gates, and secure delivery practices.
• Integrate and standardize API exposure via gateway patterns, including usage policies, throttling, authentication/authorization, and versioning (Azure API Management where applicable).
• Establish and maintain observability standards using Azure Monitor and Application Insights (dashboards, alerting, distributed tracing, and runbooks).
• Diagnose and resolve complex issues across microservices, clusters, and pipelines; perform root‑cause analysis and preventative improvements.
• Embed security and resilience: secrets management, least privilege, container security best practices, and disaster recovery patterns.
• Engineer for regulated environments: implement audit‑friendly practices such as traceable changes, reliable logging, and disciplined handling of sensitive data (minimization, access controls, retention).
• Collaborate with ML Engineers, Platform Engineers, AI Architects, and DevOps to deliver shared foundations and consistent standards across global teams.

What you bring

• 5+ years professional backend engineering experience; MLOps or AI platform experience is a strong plus.
• Expert‑level Python; ideally FastAPI, Pydantic, SQLAlchemy (or equivalent frameworks).
• Strong engineering fundamentals: testing strategies, REST API versioning, documentation, code quality, and pragmatic system design.
• Production experience with Docker and Kubernetes.
• Strong CI/CD experience (GitHub Actions preferred; ArgoCD or similar also relevant).
• Familiarity with Azure cloud platforms and services, particularly AKS, ACR, Key Vault, Azure Monitor/Application Insights, and Azure API Management (APIM).
• Strong experience with PostgreSQL including schema design, migrations, and performance tuning fundamentals.
• Familiarity with distributed systems and event‑driven architectures using Kafka.
• Strong troubleshooting skills and an operational mindset.

Ways of Working

• Comfortable in agile, iterative delivery environments with ownership and accountability.
• Clear communicator and collaborator across global, cross‑functional stakeholders.
• Proactive learner with pragmatic adoption of AI‑assisted developer tools (for example GitHub Copilot, Claude Code) to improve developer experience and delivery.

Nice to Have

• MLOps exposure: model packaging/deployment patterns, batch vs real‑time inference, feature pipelines, experiment tracking.
• Experience building internal libraries, platforms, or shared tooling used by multiple teams.
• Experience in regulated environments where auditability and secure‑by‑default delivery are essential

What we offer

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs.

All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work‑life balance.

90293 | Data & AI | Professional | Allianz Partners | Full-Time | Permanent