Ofertes d'ocupació de Enginyer/a de Software a wijobs.es

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada13 de febr.

Teletreball Jenkins Ansible DevOps Terraform

Funciones

Monitorización y análisis del rendimiento, automatización de despliegues, gestión de infraestructura, mejora de procesos CI/CD y soporte a equipos técnicos.

Requisitos

Experiencia con Nexthink y/o Dynatrace, conocimientos en DevOps, Terraform, Ansible y Jenkins. Valorable experiencia en automatización e infraestructura como código.

Modalidad híbrida de trabajo en Barcelona (2 días presencial y 3 días teletrabajo)

*Se valorará positivamente certificado de discapacidad del 33%

Se ofrece

En AUBAY seleccionamos un/a DevOps para Barcelona.

Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.

En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.

Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa y el 65% de nuestra facturación europea.

Únete a nosotros, ¡te esperamos!
#LI-AL1

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada13 de febr.

Teletreball .Net Agile Docker Cloud Coumputing Kubernetes Jira DevOps ITIL .Net Core SQL Office

Role description

We are looking for the very Top Talent...and we would be delighted if you were to join our team!

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

What are we looking for?

We are looking for a Senior Application Owner, working close to one of our main clients in banking sector.

Your primary objective will be to ensure Application Compliance with the IT Governance in your DevOps Team. Additionally, you will provide guidance and support to the team on application strategy, plan, coordinate and execute application Lifecycles (e.g. upgrading end of life technologies).

Main tasks and accountabilities will be:
- You are technologically versatile and familiar with the .NET Core tech stack, T-SQL, GitLab CI/CD plus you understand the concept of containerization & orchestration (Docker & Kubernetes and how services run
- Further you are well familiar with application monitoring tools such as ELK, Splunk, Dynatrace and can use this knowledge to quickly identify and resolve production issues - either independently or by supporting the team
- You understand standard IT governance processes and take ownership of your team´s applications
- You proactively plan, coordinate, and carry out actions to address risks, security issues, vulnerabilities, upgrades, and other required improvements
- You understand and can demonstrate IT service management principles, preferably based on ITIL 4, applied in agile and DevOps contexts
- You support your team by coordinating with Release Management on creating RFC´s with properly documented dependencies, deployment windows and rollback procedures
- You have experience in DevOps teams in agile environments (SAFe) working with tools such as JIRA, Confluence, MIRO etc
- You ensure the minimum compliance of your teams´ applications while keeping the change relevant documentation artifacts up to date (Solution Design, Security Concept, Service Continuity (BCM), Operational Manual)
- Further you take care that non-functional requirements are tailored, defined and validated (e.g. performance, capacity, availability, and disaster recovery)
- Additionally, you play a vital role in advising your team in release go/no-go situations and you oversee the burn-in phase and ensure stability before full handover to "business-as-usual" operations (DevOps)

What UST expects from you?
- 5+ years of experience in application ownership or similar roles within DevOps / Agile environments (SAFe is a plus).
- Strong technical background with .NET Core, T-SQL and GitLab CI/CD, including pipeline design, security scanning and controlled multi-environment deployments.
- Solid understanding of containerization and orchestration using Docker and Kubernetes.
- Hands-on experience with monitoring and observability tools such as ELK, Splunk or Dynatrace, and the ability to troubleshoot and resolve production issues.
- Good knowledge of IT Governance and IT Service Management, preferably ITIL 4, applied in Agile/DevOps contexts.
- Experience coordinating RFCs with Release Management, including dependencies, deployment windows and rollback procedures.
- Ability to ensure application compliance and keep key documentation up to date (Solution Design, Security Concept, BCM, Operational Manuals).
- Experience defining and validating non-functional requirements (performance, capacity, availability, disaster recovery).
- Involvement in release go/no-go decisions, burn-in phases and stabilization before handover to BAU operations.
- .BSc/MSc in Computer Science, Engineering or a related field, or equivalent experience.
- Good english level (C1) you will be working with international teams.

Nice to have:
- Experience with cloud concepts and technologies.
- Familiarity with deployment tools such as Octopus Deploy.
- Banking or financial services domain knowledge.

Work Location

Hybrid. Madrid city center (Sol area). 3 days a week in the office + 2 days remote.

Work schedule

Business Hours. No intensive working days for friday or summer.

What can we offer?
- 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
- Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
- `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan...)
- Free access to several training platforms
- Professional stability and career plans
- UST also, compensates referrals from which you could benefit when you refer professionals.
- The option to pick between 12 or 14 payments along the year.
- Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)
- UST Club Platform discounts and gym Access discounts

If you would like to know more, don´t hesitate to apply and we´ll get in touch to fill you in detail. We are waiting for you!

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada13 de febr.

Python TSQL NoSQL Oracle AWS R MATLAB Tableau

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers!

The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. The position can be based in Milan/Barcelona.

The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field.

Key job responsibilities

You are good at:

• Working on complex, loosely defined analytics problems and defining the team´s Business Intelligence (BI) strategy. Delivering independently, and influencing the organization´s BI architecture

• Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs.

• Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions

• Providing analyses, frameworks and solutions that inform multiple teams´ business decisions and highlight new opportunities

• Driving best practices in operational excellence, data modelling, and analysis

BASIC QUALIFICATIONS

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with forecasting and statistical analysis

- Experience with data modeling, warehousing and building ETL pipelines

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience in Statistical Analysis packages such as R, SAS and Matlab

- Experience with SQL

- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

- Experience writing complex SQL queries

- Master´s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

PREFERRED QUALIFICATIONS

- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Nivell d'experiència---
Tipus de contracteA temps complert
Publicada11 de febr.

Python Cloud Coumputing AWS Terraform

Funciones

- Diseñar y arquitectar infraestructuras AWS seguras y escalables.
- Implementar Infraestructura como Código (Terraform) y automatizar despliegues con GitLab-CI.
- Desarrollar y mantener código Python de alta calidad para soluciones cloud.
- Gestionar servicios AWS como Lambda, Fargate, S3, IAM, entre otros.
- Implementar y mantener arquitecturas serverless y containerizadas.
- Configurar y administrar soluciones SIEM (Splunk) y herramientas de seguridad AWS.
- Aplicar prácticas DevSecOps y seguridad en todo el ciclo de desarrollo.
- Configurar monitoreo, logging y alertas con CloudWatch, Prometheus, Grafana y PagerDuty.

Modalidad híbrida: 3-4 días en remoto + 1-2 días presenciales en nuestras oficinas (junto al metro Bogatell, Barcelona)

Requisitos

- Experiencia en ingeniería y arquitectura de soluciones de infraestructura AWS.
- Experiencia con: AWS Landing Zone, servicios de redes y seguridad de AWS, y estrategia multi-cuenta en AWS.
- Conocimiento de principios y diseño de Infraestructura como Código con Terraform.
- Experiencia con GitLab y GitLab-CI.
- Experiencia comprobada escribiendo código en Python.
- Profundo entendimiento de la infraestructura y servicios de AWS (Fargate, Lambda, S3, WAF, KMS, Transit Gateway, IAM, AWS Config)
- Experiencia con soluciones SIEM, idealmente Splunk.
- Experiencia con los siguientes conceptos: enfoque Shift-left y DevSecOps, SBOM, SAST, servicios de seguridad y cumplimiento de AWS (AWS Config, Inspector, Network Firewall, etc.).
- Experiencia en mejores prácticas de registro, monitoreo y alertas basadas en AWS Cloud y herramientas estándar (Splunk, CloudWatch Logs, Prometheus, Grafana, Alert Manager y PagerDuty)
- Inglés

PRUEBA TÉCNICA PARA EL PUESTO PREVIA A LA ENTREVISTA

Se ofrece

AUBAY seleccionamos un/a AWS Cloud Engineer con inglés en Barcelona.

Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.

En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.

Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa y el 65% de nuestra facturación europea.

Únete a nosotros, te esperamos!

Flexibilitat horàriaSi
Nivell d'experiència---
Tipus de contracteA temps complert
Publicada10 de febr.

. Python Machine Learning

Overview

Job Reference: 406_25_ES_CES_RE1

Position: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date: Sunday, 01 March, ****

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the European HPC ecosystem. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. BSC combines HPC service provision and R&D into computer and computational science under one roof, with over **** staff from 60 countries.

Context and Mission: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the AI Factory initiative. The AI Factory accelerates adoption and development of AI across industry sectors, deploying AI-focused services including training, networking, and innovation support. The MareNostrum5 AI partition provides the computing backbone for these services. The selected candidate will support AI services related to climate change use cases, coordinate availability and integration of AI software on MareNostrum5, and ensure smooth support for the AI Factory user community.

Responsibilities

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on the MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services

Participate in collaborative development within the AI Factory consortium

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn

Proven experience in developing and training machine learning models, particularly deep learning architectures

Strong background in handling, analyzing, and validating large-scale datasets

Experience working in a UNIX-based computational environment

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr)

Experience in high-performance computing (HPC) and parallelized machine learning workflows

Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/or distributed training using Dask

Understanding of climate and weather models

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows

Ability to work independently while collaborating effectively in a research environment

Excellent communication skills, with a strong ability to document and present research findings

Proficiency in written and spoken English

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures

Duration: Open-ended contract due to project and budget considerations

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December

Salary: Competitive salary commensurate with qualifications and experience, aligned with Barcelona cost of living

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying the area and topics of interest; two references for further contact must be included

Recruitment process and equal opportunity

The selection will be carried out through a competitive examination system (Concurso-Oposición). The process consists of two phases: Curriculum Analysis (40 points) and Interview phase (60 points). A minimum of 30 points in the interview is required. The recruitment panel will include at least three people with gender representation. BSC adheres to OTM-R principles and promotes gender-balanced recruitment panels. All participants will receive feedback after interviews. For suggestions or complaints about recruitment processes, please contact ******.

For more information follow this link. Deadline: The vacancy remains open until a suitable candidate is hired; applications are regularly reviewed.

OTM-R and equal opportunity

BSC-CNS is committed to the Code of Conduct for the Recruitment of Researchers and Open, Transparent and Merit-based Recruitment (OTM-R). We are an equal opportunity employer and consider all qualified applicants regardless of protected characteristics.

#J-*****-Ljbffr

Flexibilitat horàriaSi
Nivell d'experiència---
Tipus de contracteA temps complert
Publicada10 de febr.

. Python Machine Learning

Overview

Job Reference: 406_25_ES_CES_RE1 Position: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date: Sunday, 01 March, ****

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the European HPC ecosystem.

The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.

BSC combines HPC service provision and R&D into computer and computational science under one roof, with over **** staff from 60 countries.

Context and Mission: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the AI Factory initiative.

The AI Factory accelerates adoption and development of AI across industry sectors, deploying AI-focused services including training, networking, and innovation support.

The MareNostrum5 AI partition provides the computing backbone for these services.

The selected candidate will support AI services related to climate change use cases, coordinate availability and integration of AI software on MareNostrum5, and ensure smooth support for the AI Factory user community.

Responsibilities

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on the MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services

Participate in collaborative development within the AI Factory consortium

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn

Proven experience in developing and training machine learning models, particularly deep learning architectures

Strong background in handling, analyzing, and validating large-scale datasets

Experience working in a UNIX-based computational environment

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr)

Experience in high-performance computing (HPC) and parallelized machine learning workflows

Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/or distributed training using Dask

Understanding of climate and weather models

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows

Ability to work independently while collaborating effectively in a research environment

Excellent communication skills, with a strong ability to document and present research findings

Proficiency in written and spoken English

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures

Duration: Open-ended contract due to project and budget considerations

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December

Salary: Competitive salary commensurate with qualifications and experience, aligned with Barcelona cost of living

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying the area and topics of interest; two references for further contact must be included

Recruitment process and equal opportunity

The selection will be carried out through a competitive examination system (Concurso-Oposición).

The process consists of two phases: Curriculum Analysis (40 points) and Interview phase (60 points).

A minimum of 30 points in the interview is required.

The recruitment panel will include at least three people with gender representation.

BSC adheres to OTM-R principles and promotes gender-balanced recruitment panels.

All participants will receive feedback after interviews.

For suggestions or complaints about recruitment processes, please contact ******.

For more information follow this link.

Deadline: The vacancy remains open until a suitable candidate is hired; applications are regularly reviewed.

OTM-R and equal opportunity

BSC-CNS is committed to the Code of Conduct for the Recruitment of Researchers and Open, Transparent and Merit-based Recruitment (OTM-R).

We are an equal opportunity employer and consider all qualified applicants regardless of protected characteristics.

#J-*****-Ljbffr

Tipus	Nom	Finalitat	Durada
Sessió	ASP.NET_SessionId	Administra la sessió de l'usuari en el lloc web	Durant la sessió de l'usuari
Sessió	wj_uuid	Identifica l'usuari en diferents sessions	1 any
anti falsificació	.AspNetCore.Antiforgery.*	Proporciona protecció contra atacs de falsificació de sol·licituds entre llocs	Durant la sessió de l'usuari
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Tipus	Nom	Finalitat	Durada
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Cerca	wj_loc wj_search wj_tags wj_tags_loc	Emmagatzema informació per recordar les teves preferències de cerca	1 any
Favorits	wj_bookmarks wj_likes	Emmagatzema informació relativa al teu contingut favorit	1 any
Alertes per email	wj_e_sub	Indica si l'usuari esta o no subscrit a les alertes per email	1 any
Alertes per email	wj_e_sub_v	Indica si el usuario ha verificado o no su suscripción por email	1 any
Alertes per email	wj_e_sub_a	Indica si el usuario tiene o no activas las alertas por email	1 any
Alertes amb OneSignal	__cfduid	Pots conèixer com OneSignal fa servir la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web	1 mes
Sessió	wj_tv	Indica si l'usuari és recurrent	1 any

Tipus	Nom	Finalitat i durada
Google Analytics	_ga _gat _gid AMP_TOKEN _gac_* _lc.visitor_id.*	Pots conèixer com Google utilitza la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web
Hotjar	_hjClosedSurveyInvites _hjDonePolls _hjMinimizedPolls _hjShownFeedbackMessage _hjid _hjRecordingLastActivity _hjTLDTest _hjUserAttributesHash _hjLocalStorageTest _hjIncludedInPageviewSample _hjIncludedInSessionSample _hjAbsoluteSessionInProgress	Pots conèixer com Hotjar fa servir la informació de llocs o aplicacions que usen els seus serveis visitant el seu lloc web

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Machine Learning Engineer (Re1-2) – Ai Factory (Earth Sciences Department)

Barcelona Supercomputing Center