20 publicaciones de empleo destacadas de cloud observability engineer en madrid, md (¡Están contratando!)

Senior Site Reliability Engineer (SRE)
Sparta —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- Java
- AWS
2d
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- De 128.500 € a 171.500 € al año
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- Trabajo híbrido
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- SQL
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Java Backend Architect
Atradius —Madrid, Madrid provincia
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- Oficina
- Java
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Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
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- Parking gratuito
- Seguro de vida
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ARQUIMEA —Torrejón de Ardoz, Madrid provincia
- Trabajo híbrido
- Informática
- Inglés
- Investigación
Solicitud rápida
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GMV —Tres Cantos, Madrid provincia
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- Seguro dental
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Percona —Madrid, Madrid provincia
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Roche —Madrid, Madrid provincia
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AI Architect Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
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Trinetix —Madrid, Madrid provincia
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Accenture —Madrid, Madrid provincia
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GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés

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Senior Site Reliability Engineer (SRE)

Sparta -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 2 días

Cualificaciones

CI/CD
Java
AWS
Respuesta a incidencias
PostgreSQL
Terraform
Redis
Cloud
Redshift
Python
Debugging

Descripción completa del empleo

We Are Sparta

Sparta is the next-generation commodity trading platform.
We give trading desks the clarity, control, and collaboration they need to move faster and trade smarter.

In February 2025, we secured $42 million in Series B funding. Now we’re scaling up across the business, and it’s an exciting time to join.

Our people are the driving force behind everything we do. At Sparta, you’ll be trusted to take ownership, backed by a team who wants you to succeed. You’ll be challenged, supported, and given room to grow. Because building something this ambitious takes everyone at their best.

At Sparta, your work has reach. From improving our platform, to powering smarter decisions for our customers, to changing how commodity trading is done around the world.

And because we’re growing fast, you won’t just build your career. You’ll accelerate it, with a level of ownership and impact you simply don’t get at bigger, more bureaucratic companies.

At Sparta, we’re on a mission to build the next generation of commodity trading platforms - replacing the fragmented tools that traders typically rely on with a single, powerful dashboard. Our product is a data-driven platform that aggregates real-time feeds from across the commodities domain, transforming them into intuitive, actionable visualisations within one unified interface.

Traders act on what they see in Sparta. That makes reliability a product feature, not an afterthought - and it’s why this role exists.

This is a deliberate 50/50 split. Half your time is backend engineering: designing and building the distributed services and pipelines that move real-time market data through our platform. The other half is reliability engineering: making those systems observable, resilient, and cheap to operate. If you’ve ever shipped a service and then wished you owned how it ran in production, this is that job.

We’ve kept the split explicit rather than tidy. Our Platform Engineering team owns the shared platform, tooling and automation; you’ll be a close partner to them, and the reliability of your own services is yours.

We’re looking for people who thrive in an empowered environment - engineers who are comfortable being given problems to solve rather than solutions to implement. You should enjoy working at pace, value autonomy, and prefer to ask for forgiveness rather than permission.

Whereas Sparta is a remote-first company, for this role we’re looking for someone who values a hybrid working style, which in a typical week could involve spending a couple of days in the office - with flexibility built in.

WHAT YOU’LL BE DOING:

Backend engineering

Design, build and maintain the backend services behind our real-time and analytical data processing.
Optimise pipelines and services for low latency, high throughput and scale.
Own features end to end, from shaping the approach to running them in production.
Contribute to design reviews with a clear view on the trade-offs.

Reliability engineering

Own the operational health of your services. Define what healthy means, then measure it.
Improve observability, monitoring and alerting in Datadog, so problems surface before a trader notices.
Take part in incident response, then close the loop on the root cause.
Work with our runtime across Lambda, ECS and EKS, and help move more workloads onto Kubernetes.
Help operate the data and streaming infrastructure you depend on: Kafka, Flink, Redis/Valkey, RDS, Redshift.
Extend our infrastructure as code in AWS CDK, and our CI/CD pipelines.
Reduce toil. Automate the manual, delete the unnecessary, make the next incident less likely.

ABOUT YOU:

4+ years as a software or reliability engineer, with production systems you’ve built and supported.
High ownership tendencies.
Genuine interest in both halves of this role. You want to write the service and own how it runs.
Strong in at least one of Kotlin, Java, Python or TypeScript.
A solid working understanding of AWS - compute, networking, storage, IAM - from running things in production.
Hands-on with infrastructure as code: AWS CDK, Terraform, CloudFormation or similar.
Practical experience running container workloads on Kubernetes: deploying, debugging, tuning.
Experience with CI/CD tooling and a clear view of a good delivery lifecycle.
A habit of instrumenting what you build - metrics, logging, tracing.
Experience being on the hook for production, incident response included, and calm when things are on fire.
Experience defining or working to service-level objectives, or a clear sense of how you’d start.
A strong urge to own and improve things - to spot what isn’t working and fix it.
Comfortable with agent-based development tools. We use Claude Code; any equivalent is fine.
A clear communicator and a pragmatic problem-solver.

NICE TO HAVE EXPERIENCE:

Building or operating a platform on Kubernetes, EKS especially.
Datadog specifically.
Data or streaming systems: Kafka, Flink, Redshift, clustered Postgres.
Working to error budgets, and using them to make real prioritisation calls.
Security and compliance best practice in cloud environments.
Complex distributed environments - high throughput, low latency, large datasets.
Any exposure to commodities, energy or financial markets. Useful, but we’ll teach you the domain.

Sparta Commodities is proud to be an equal opportunity employer and promotes diversity within its workforce. We are determined that no-one will ever receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any basis covered by appropriate law.

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