Ofertas de empleo para Desarrollo de Software

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python TSQL Machine Learning

Tareas

• Análisis del uso que hace el cliente de los datos y estratégia de negocio.


• Detección de oportunidades de explotación de sus datos y de datos externos con alto impacto en su negocio.


• Exploración y análisis de datos, identificación de variables relevantes para resolver retos concretos.


• Estudio y modelización de la estructura global de datos del cliente.


• Construcción de soluciones a problemas de negocio en base a datos de principio a fin (compresión de necesidad, integrción del dato, curación de datos, visualización con herramientas de business intelligence, construcción de algoritmos y modelos predictivos).


• Comunicación de resultados e interacción directa con clientes.

Requisitos

• Titulación: Grado en Matemáticas, Física, Ingeniería, Química. Máster en BI, Business Analytics, Data Science, o experiencia equivalente.


• Herramientas: SQL, Python


• Nivel de Español hablado y escrito nativo.


• Sensibilidad de negocio y pensamiento estratégico.


• Fuertes habilidades analíticas


• Capacidad de comunicación y presentación de resultados analíticos

Beneficios

• Participar en proyectos innovadores en el ámbito del Data Science (nuestra tecnología combina BI con soluciones de machine learning adaptadas a cada cliente y con las que él mismo interacciona).


• Contacto directo con los clientes y acceso a problemas reales a los que se enfrentan las empresas, diseñando soluciones con un alto impacto.


• Formar parte de una startup en crecimiento y colaborar a diario con un equipo de expertos en consultoría estrategia, data science y desarrollo de software en la nube.


• Trabajar con tecnologías de última generación

Beneficios Prenomics

• Horario de trabajo flexible e híbrido


• Suministro ilimitado de bebidas con y sin cafeína


• Horas semanales dedicadas a apreder y discutir nuevas tecnologías


• Sistema de retribución flexible: tickets restaurante y transporte


• Evaluaciones de desempeño, diseño de plan de carrera y revisiones salariales anuales


• Actividades de teambuilding con todo el equipo

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python Azure Docker Cloud Coumputing Kubernetes SaaS AWS R Power BI Spark Machine Learning

Job Description

Hello! We are CAPGEMINI, a TOP EMPLOYER company with 360,000 PEOPLE around the world united by the same passion: leading the evolution towards a sustainable and inclusive future through TECHNOLOGY.

In our global Insights & Data business unit we are growing and we are looking for professionals with Generative AI profile.

What will be your mission?

Your Mission Will Be To Lead, Drive, And Technically Develop Initiatives In The Field Of Generative AI And ML Autonomously And Also

• You will design, develop, and deploy solutions using Machine Learning, Deep Learning, and Computer Vision models.
• You will develop projects with NLP and LLMs.
• You will manage and manipulate data sets: Definition and identification of learning variables, generation of new sets, transformation, and cleaning.
• You will define End-to-End Machine Learning processes.
• You will develop training processes using different frameworks (TF, PyTorch, Scikit-learn, etc).
• You will develop inference processes in On-premise or Cloud environments.
• You will maintain existing Machine Learning models.
• You will lead project technical teams.
• You will mentor Junior or trainee Data Scientists.
• You will participate in technical proposals at national and international levels.
  
  

Descripción larga

What are we looking for?

To Feel Comfortable In The Position, It Is Necessary To Have a Degree In Computer Science, Mathematics, Physics, Or Similar Engineering And Be Able To Handle The Following Well

• Experience in the development of projects in the field of generative AI working with NLP, LLMs,
• Proven experience of more than 3 years in projects applying ML and DL techniques in productive environments.
• Experience in defining, creating, deploying, and maintaining ML and DL models in productive environments.
• Knowledge of Python and/or R in the field of data science.
• Knowledge of Databricks.
• Advanced knowledge of Machine Learning frameworks (TF, PyTorch, Scikit-learn, etc).
• Advanced knowledge of cloud analytics services on AWS, GCP, or Azure.
• Ability to work effectively in a team.
• Proactivity in building solutions and applying new functionalities related to the technology in use.
• Fluent English and Spanish
  
  

Additionally, It Would Be Great If You Have

• PhD or Master's in computer science, data science, artificial intelligence, mathematics, or statistics.
• Advanced knowledge of Apache Spark in the field of data science (PySpark).
• Knowledge of Docker and/or Kubernetes.
• Knowledge of data visualization tools (PowerBI or similar).
• Certifications in AWS, GCP, or Azure (or other equivalent cloud platforms for data processing). developing and using SaaS applications.
• Knowledge and application of data science in different sectors and industries: banking, insurance, telco, retail, etc.
  
  

What awaits you in this position?

You will belong to a global department and will be able to collaborate with engineers from different countries.

CLOUD projects (AWS, Azure, GCP) and/or enterprise.

Open door to international projects without needing to go abroad, as all projects are done from Spain.

Specialization tribes by technology and camaraderie in communities.

Descripción breve

We will evaluate all applications. At Capgemini, we have a wide range of training, classroom, online, certifications, etc. Even if you don't have 100% of the required skills, we'd love to meet you!

Do you know what we can offer you?

INDEFINITE CONTRACT.

• Continuous TRAINING and certifications with official partners.
• Access to national (80%) and international (FlexAbroad 45 days) Remote.
• Access to offices with COLLABORATIVE ENVIRONMENTS in multifunctional spaces.
  
  

For us, teamwork and a good atmosphere are vital. We work and enhance our COMMUNITIES within the company.

We are DIVERSE in age, gender, ancestry, family... we have been certified in Diversity and as an ETHICAL company for more than 11 years in a row!

We appreciate the FLEXIBILITY, the CONCILIATION and the fiscal and social BENEFITS to combine our personal and professional life. We have a very complete CATALOGUE OF MEASURES for development and conciliation (family allowances, insurance, restaurant and nursery tickets, additional holidays for you and your family...).

Access to the FLEXIBLE RETRIBUTION system.

DISCOUNTS and promotions through our Capgemini Club (sports, travel,...).

Collaboration is key in developing new ideas, new solutions, and professional and personal growth, which is why the team and good atmosphere are vital for us. We work and promote our COMMUNITIES within the company.

Today you have learned more about us and our growing project. Tomorrow other projects will come because that’s how we work, generating solutions as needed.

Job Description - Grade Specific

The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

API Cloud Coumputing Kubernetes SaaS AWS Office

Role based in Barcelona - 3 days onsite office / 2 days at home

This role operates as the primary technical escalation point for all cyber threats identified by our Security Operations Center (SOC) and is responsible for validating, investigating, and directing responses to escalated security incidents. This role provides a unique blend of technical detection engineering with threat-informed cyber defense strategy ownership.

This position is ideal for technically skilled cybersecurity professionals who thrive in fast paced global organizations and enjoy solving complex operational challenges with innovative approaches. In addition to supporting the Cyber Defense pillar, this role will have daily exposure across our entire cybersecurity function and working collaboratively to secure Evinova´s Digital Health Suite.

This position will report directly to the Evinova Head of Cybersecurity with a dotted line to the Head of Cybersecurity Engineering and will have several peers to collaborate with; ensuring adequate leadership visibility and cross-functional exposure across adjacent cyber domains. If you are a cyber defense pro looking to gain cyber leadership experience, this is the perfect role for you.

Due to the business critical nature of this role, there may be times where after-hours support is needed to address cybersecurity incidents. Evinova cybersecurity is a globally distributed team with team members located in both the United States and Spain.

Key Responsibilities:

SIEM Platform Management (Splunk Focus)

- Oversee the work of our outsourced service provider who provides SIEM maintenance support

- Provide architectural and operational ownership of Splunk ES as the enterprise detection platform

- Design data ingestion strategies covering cloud telemetry, identities, SaaS services, and system audit logs

- Engineer compliant data models to normalize security telemetry and enable scalable detection use case development

- Build operational dashboards supporting SOC monitoring, incident tracking, regulatory reporting, and executive cyber risk metrics

- Optimize search performance, indexing strategies, and storage utilization to balance detection depth with cost efficiency

- Integrate third-party and native security tooling into Splunk via APIs, forwarders, and data pipeline engineering

Cloud Detection and Response Architectures (AWS-focused)

- Provide cyber defense telemetry requirements into security architecture reviews for new platforms, applications, and cloud services

- Engineer and operationalize detections leveraging native AWS telemetry sources such as Cloud Trail, Guard Duty, Security Lake, VPC Flow Logs, Cloud Watch, EKS Logs, and others

- Develop detection use cases for IAM privilege escalation, federated identity abuse, cross-account compromise, API misuse, and serverless exploitation

- Monitor containerized and Kubernetes workloads for runtime threats, suspicious process execution, and anomalous network communication patterns

- Partner with Cloud Security peers to define cloud logging standards, retention requirements, and forensic readiness controls

Detection Engineering and Threat Analytics

- Architect, engineer, and operationalize advanced threat detections within Splunk Enterprise Security, including correlation searches, risk-based alerting frameworks, behavioral detections, and anomaly signals aligned to cloud computing threat scenarios

- Design detection logic mapped to the MITRE ATT&CK techniques, cloud threat kill chains, and identity compromise attack paths to ensure comprehensive adversary coverage

- Build security telemetry correlation across cloud control planes, SaaS platforms, and identity providers such as Microsoft EntraID to detect multi-stage intrusion attempts

- Collaborate with our outsourced SOC to continuously tune log sources / detection content to reduce false positives, eliminate alert fatigue, and improve "signal-to-noise" ratios within the SOC escalation pipelines

- Utilize threat intelligence feeds to translate emerging adversary Tactics, Techniques, and Procedures (TTPs) into actionable detection use cases and SIEM content updates

- Establish detection lifecycle governance including use case design documentation, testing validation, and performance monitoring

- Develop "detection-as-code" pipelines leveraging version control and CI/CD processes to ensure repeatable and auditable deployment of correlation logic

Threat Detection, Analysis, and Response

- Serve as the Tier 2 / Tier 3 escalation path for all relevant security alerts and suspicious activity escalated by our SOC

- Conduct deep technical investigations spanning SIEM telemetry, adjacent platforms, cloud logs, identity activity, audit trails, and other forensic artifacts

- Perform threat actor behavior analysis to determine initial access vectors, persistence mechanisms, privilege escalation paths, and lateral movement patterns

- Lead threat hunting initiatives leveraging hypothesis-driven and intelligence-driven methodologies to proactively identify hidden threats

- Function as a Technical Lead / Incident Responder for confirmed cybersecurity incidents and directing containment actions that are proportionate with the incident severity

- Coordinate cross-functional response activities across Product Engineering / Platform Operations and Cybersecurity stakeholders

- Maintain the Cybersecurity Incident Response Playbooks and developing new playbooks for emerging incident types / technologies

- Produce formal investigation reports documenting incident timelines, impacted assets, regulatory exposure risk, and remediation recommendations

- Provide incident briefings summarizing incident severity, business impact, and containment posture to the Head of Cybersecurity, Head of Cybersecurity Engineering, and other relevant leadership stakeholders (including the Evinova Chief Technology Officer)

- Collaborate with Cybersecurity Assurance to document incident root causes, specifically focusing on control failures, detection gaps, and posture improvement actions

- Lead cyber crisis simulations and tabletop exercises with adjacent teams in Product Engineering and Platform Operations to ensure operational readiness

HIGHLIGHT THE SKILLS AND CAPABILITIES NEEDED

Minimum Qualifications:

- University degree in Cybersecurity, Information Security, Computer Science, Information Systems, or a related technical discipline.

- 6-8+ years of progressive experience in Cybersecurity Operations, Detection Engineering, Cybersecurity Incident Response, or Threat Intelligence functions within global enterprises

- Demonstrated hands-on engineering and operational experience administering and developing detection use cases in Splunk Enterprise Security, including correlation searchers, notable event frameworks, risk-based alerting, and data model utilization

- Hands on security monitoring and threat detection experience across Amazon Web Services (AWS) environments

- Operational familiarity with cloud native attack vectors including IAM privilege escalation, credential misuse, token compromise, API abuse, and cross-account persistence mechanisms

- Familiarity with SOAR platforms and automation engineering supporting incident response orchestration and alert enrichment

- Demonstrated experience leading or coordinating incident response activities, including containment execution, stakeholder coordination, forensic triage, and post-incident lessons learned

- Proficiency in SIEM query languages (e.g., SPL, KQL) and log analysis methodologies across various log sources

- Working knowledge of the MITRE ATT&CK framework and its application to detection engineering and threat actor simulation

Desired Qualifications:

- Professional certifications in Cybersecurity, Digital Forensics, Information Assurance or related technical field (e.g., CISSP, CCSP, Splunk Certified, GIAC)

- Proven experience operating as an escalation path within a Security Operations or Incident Response function, including leading technical investigations over advanced threats, account compromise, malware intrusions, and cloud security incidents

- Experience operating within hybrid SOC delivery models that include managed service providers or outsourced Tier 1 monitoring functions

- Deep engineering expertise within Splunk Enterprise Security, including detection-as-code pipelines, SIEM optimization, data onboarding, and search performance tuning

- Experience conducting proactive threat hunting operations

- Experience presenting incident findings and detection maturity metrics to security leadership, auditors, and other interested stakeholders

- Experience working within regulated environments such as Financial Services, Life Sciences / Pharmaceutical, and Healthcare

- While not required, having prior experience with the Microsoft security ecosystem is an added plus (e.g., Purview, Sentinel, Defender)

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Machine Learning Office

Location: Barcelona - Spain (3 days working from the office and 2 days working from home)
Introduction to Role:

Join our Commercial Data Science and AI team, where we deliver digital and technology solutions to multiple business areas across OBU and BBU in the Global markets. As the Director for Data Science & AI Product (OBU), you will be responsible for driving AI initiatives, fostering innovation, developing cutting-edge products, ensuring adoption, working with a multi-functional team and most importantly making a difference in the lives of our patients and health care professionals. The focus of your role will be on Oncology business across Europe, Canada and International markets. This role partners closely with the Oncology therapy area leaders, digital/data/artificial intelligence teams, commercial teams, market access and enterprise platform teams to transform high value business problems into scalable, business friendly, impactful and compliant AI products which deliver measurable impact for the patients and the business.

Accountabilities:

As a member of the Commercial Data Science & AI team our mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Commercial, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across Oncology businesses. The scope of this role is Global serving all the markets where AstraZeneca´s life-changing medicines are approved to help Patients live longer and realize AZ´s bold ambition.

Strategy and portfolio leadership: you will define the AI product vision and multi-year roadmap for the Oncology business unit. You would prioritise a balanced portfolio across use cases on commercial analytics, operational productivity, physician engagement, scientific engagement which are aligned to therapy area and brand strategies.

Product discovery and design: you will be leading discovery with cross functional partners to identify business problems, user journeys and validate feasibility, desirability, and the business impact. These insights will be translated into product requirements while championing the human centre design and responsible AI for our Oncology business units.

Data and AI excellence: you will be partnering with data engineering and platform teams to secure data access and quality. You will work with data scientist and AI engineers to guide on model selection and evaluation. The solution solutions should be scalable, aligned to the business varieties and make sound business impact for various tumour types and indications.

Cross-functional collaboration: You will be working with cross-functional teams across the geographies comprising of Business Excellence, brand and marketing teams and AI Scientists and AI Engineers. You will be liaising with other Global functions and teams to ensure we are following an enterprise approach for scaling AI products across indications, therapy areas and geographies.

Stake holder and change leadership: you will be building trust with senior leaders, brand and marketing teams, end users and the wider community. You will orchestrate communication, adoption programs, manage vendors and partnerships and represent DSAI team for OBU across the enterprise. You will play a key role in shaping our AI strategy, developing pioneering AI solutions, ensuring successful project delivery, and implementing standard methodologies and hence deliver value for the business.

End to end delivery: You will work to define and implement the AI strategy, finding opportunities for AI adoption and driving business impact. You will lead the end-to-end delivery of AI projects, from ideation to deployment. You will maintain a deep understanding of AI and machine learning technologies, MLOps tools, and stay updated on industry trends. You will also be responsible for ensuring adoption of the AI products in the geographies and by the end users.

Key Responsibilities:

- Develop a deep understanding of the Oncology business, different tumor types, indications and the core markets.

- Understand the current solution and the framework/architecture

- Plan and execute the deployment of products across other TA and geographies

- Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment and adoption of product.

- Present the solution to stakeholders and solve the real-world business OBU problems

- Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.

- Support the full solution architecture cycle and lead the development work of core components.

- Actively seek out, develop, and share best practices. Stay abreast of the evolving business and technical landscape and remain current on the major data science development particularly in the Oncology business.

- Manage onshore and offshore external consultants

Essential Skills/Experience:

- Bachelors or Masters (or equivalent numbers of years of experience) in mathematics, computer science, engineering, physics, statistics, computational sciences or a related field.

- 10+ years of product management in digital or data science products and deploying AI products at scale.

- Proven experience in life sciences or healthcare ideally Oncology across R&D, medical or commercial use cases.

- Excellent communication and presentation skills, with the ability to convey complex AI concepts to non-technical partners.

- Ability to take initiative/navigate in a matrix environment.

- Project Management skills/Presentation skills, with a track record of leading successful AI projects and teams.

- Effectively interact and build strong relationships with colleagues from different functions/countries.

- Knowledge of software development principles

- Experience in data and analytics (AI / ML desirable but not essential).

At AstraZeneca, we connect across the whole business to power each function to better influence patient outcomes and improve their lives. We are dedicated to combining the science with our knowledge, to deliver greater value for patients every day. We take data seriously. Driven by the impact we know we can have; our high ethical standards never slip. This is the place where innovation meets large-scale impact. We are often seen breaking new ground, but without ever compromising on doing things the right way. We impact patients lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world.

Ready to join a diverse team of inclusive self-starters? Apply now to be part of our journey towards becoming a digital and data-led enterprise!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

API Python Agile Cloud Coumputing Microservices Terraform Office

Are you a forward-thinking professional with a passion for artificial intelligence and advanced analytics? Join our team as a Senior AI Engineer and help shape the future of AI-driven business and scientific insights. You will be at the forefront of developing and deploying AI products that drive competitive intelligence and strategic decision-making.

We are seeking a talented and motivated AI Engineer to build models using both foundational and cutting-edge methods, process structured and unstructured data and collaborate closely with internal stakeholders to solve complex problems in competitive intelligence and strategy. Projects range from developing intelligent AI-driven systems such as virtual assistants to applying advanced data science and analytics techniques that support decision-making and optimize business outcomes.

Responsibilities

- Design and deliver production-grade AI systems for stakeholders, including LLM-powered applications for strategy teams
- Develop multi-agent architectures for strategy workflows including data collection and human-in-the-loop controls
- Build retrieval and vector-based systems over external data sets
- Work within an agile framework and in cross-functional teams to align AI solutions with business goals
- Engage internal stakeholders for the successful delivery of AI solutions
- Continuously monitor and optimize AI models to improve accuracy and efficiency, ensuring solutions are scalable, reliable and well-maintained
- Document processes, models and key learnings and contribute to building internal AI capabilities
- Ensure AI models adhere to ethical standards, privacy regulations and fairness guidelines
- Collaborate with external AI companies where required

Requirements

- Proficiency in Python and software engineering best practices
- Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases
- Experience designing or implementing multi-agent systems or tool-calling frameworks
- Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias
- Experience with distributed systems and microservices
- Strong understanding of data structures and algorithms
- Knowledge of API design and development
- Experience working with a multi-disciplinary team
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills

Nice to have

- Experience developing and deploying agentic AI systems including autonomous agents and multi-agent workflows
- Hands-on expertise with Retrieval Augmented Generation (RAG) techniques and their integration with Large Language Models
- Practical experience fine-tuning, customizing or implementing Large Language Models (LLMs) such as GPT, Llama or similar
- Knowledge of ML monitoring and observability
- Contributions to open-source ML projects or libraries
- Experience with high-performance computing
- Knowledge of software design patterns
- Experience with ML deployment platforms such as KubeFlow or MLflow
- Knowledge of serverless architecture patterns
- Understanding of cloud cost optimisation for ML workloads
- Experience with infrastructure-as-code such as Terraform or CloudFormation

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo Javascript Python Agile CSS TSQL Scrum HTML TypeScript Gradle Big Data Machine Learning Power BI Office

Do you have background and wide experience in data engineering and strong knowledge in Palantir and frontend? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior Palantir Data Engineer.

EPAM is shaping the digital future for Fortune 1000 companies, building complex solutions using modern technologies. We are looking for a Data Engineer with an open-minded personality who can join our friendly environment and become a core contributor to our team of experts. This position is an opportunity to work on a complex Data transformation project.

Remote working from anywhere in Spain is welcome!

Responsibilities

- Design and implement robust and scalable data-driven solutions to support key decision-making business processes
- Build data-driven applications
- Leverage cutting-edge technology that applies Big Data and ML to solve new and emerging problems
- Develop visualizations and analytics solutions to interpret and present large-scale datasets effectively
- Communicate complex technical ideas clearly to both technical and non-technical stakeholders, ensuring alignment on project goals

Requirements

- Bachelor´s degree level or equivalent in Computer Science, Data Science or similar discipline
- 2+ years of work experience in data and technology
- Experience in building data-driven applications with a user-focused mindset and storytelling with data
- Competency in data analytics and visualization with an ability to craft solutions for improved decision-making
- Proficiency in modern coding languages, such as Python or TypeScript
- Understanding of SQL and the concept of relational databases
- Experience with Scrum and Agile development approaches
- Experience with Palantir Foundry
- Familiarity with HTML, CSS, JavaScript, and Gradle
- Knowledge of the Insurance Domain, Financial Industry or Finance function in other industries
- Spanish language (native) is a must, and good communication skills in English, with the ability to explain technical concepts clearly for non-technical audiences

Nice to have

- Knowledge of Microsoft Power BI
- Knowledge of PySpark
- Experience with Machine Learning or Generative AI

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

React .Net Agile TSQL Scrum REST SOAP SQL Office

Are you an open-minded and dedicated professional who revels in intellectually rigorous environments? Do you hold a high bar for the quality of your work and react to a mission critical problem in an excellent way? Can you anticipate complications and formulate solutions to unblock the progress of the project? If it sounds like you, this could be the perfect opportunity to join EPAM as a Lead .NET Engineer.

Our client is one of the biggest hedge funds in the world managing investments for a wide array of institutional clients, including foreign governments and central banks, corporate and public pension funds, university endowments, and charitable foundations. We have a group of around 100 engineers (Devs, QAs, BAs, and Project Managers) distributed between Westport, USA, and Malaga, Spain working on one big solution.

Responsibilities

- Identify and understand business problems
- Design solutions to address those problems
- Write efficient and clean code to implement solutions
- Perform thorough testing of all implementations
- Ship developed features and solutions to production
- Provide on-call support (247) on rotation every 4 weeks, compensated additionally

Requirements

- 5+ years of experience in .NET development
- 2-3 years of working experience in WPF and WCF
- 1+ years of relevant leadership experience
- Competency in contemporary programming languages, patterns, and architectures
- Background in utilizing design patterns in development
- Proficiency in Full Stack .NET/C# development, from front-end to back-end processes
- Expertise in SQL, specifically T-SQL for robust database management
- Good understanding of communication protocols, standards, and technologies (SOAP, REST, WCF)
- Familiarity with data exchange formats like XML and JSON
- Experience with Agile methodologies and SCRUM practices
- Good English communication skills (reading, writing and speaking)

Nice to have

- Knowledge of capital markets, structure of exchanges, regulatory framework, Order Management & Execution Management Systems, Trade workflow
- Experience in the development of Trade & Order systems (Order, Trade, Execution, Reconciliation)
- Experience with Charles River, Tradeweb, and other similar vendor systems
- Familiarity with various asset types such as Fixed income, derivatives, swaps, and FX
- Skills in FIX, FIXML and Tibco products

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

API C# Java Agile Selenium Cloud Coumputing Jira DevOps QA Office

Are you a forward-thinking professional with a strong background in QA Automation and an interest in financial services? Join EPAM in Madrid as a QA Automation Engineer in the private banking sector and accelerate your career in financial services technology. We´re looking for a team player with excellent communication skills, engineering mastery and a B2+/C1 English level for effective stakeholder interactions.

This is a hybrid role based in Madrid´s city center, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!

Responsibilities

- Work as an embedded QA Automation Engineer in an Agile team
- Drive all quality aspects of the team in regard to Software Quality
- Test case design to ensure proper coverage of requirements and the execution of the same
- Identify tests for test automation
- Identify, prioritize, and automate regression and critical path test scenarios using Selenium WebDriver with Java or C# and Tricentris Tosca (Commander, Engine, Analytics)
- Perform manual testing as needed, including periods where manual testing may be the primary responsibility
- Create or organize required Test data
- Maintain (add, remove, update) regression test cases
- Execute and document the execution of tests in an audit proved manner
- Be able to read and write some code if needed in Java / #C
- Defect Management

Requirements

- BSc/MSc in Computer Science, Engineering or related field
- Work experience in an agile team is mandatory, in a DevOps setup is a strong plus
- Experience in leading/supporting all testing initiatives of an agile team from Dev to acceptance testing
- Strong experience in Test case design (TCD) to ensure proper coverage of requirements/acceptance criteria
- Experience in risk-based testing
- 5+ years general Test Automation experience covering UI and API (Focus on Selenium or Tosca)
- Used to perform manual testing as needed, including periods where manual testing may be the primary responsibility
- Self-guided exploration of DB to find relevant test data
- Good Jira knowledge
- Basic XRAY knowledge is a plus
- Further experiences which are not mandatory but a strong plus: cloud technologies, web application architecture, banking domain knowhow related to Client Lifecycle Management
- Excellent command in English (C1/C2)
- Fluent Spanish would be a big plus

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

.Net C# Java Python Agile TSQL Azure Jenkins Docker Cloud Coumputing Kubernetes Git SQL Server Oracle AWS PowerShell Bash DevOps Terraform Office

Are you a forward-thinking professional with a strong background in DevOps and Backend Engineering and an interest in financial services? Join EPAM in Madrid as a Senior DevOps Engineer in the private banking sector and accelerate your career in financial services technology. We´re looking for a team player with excellent communication skills, engineering mastery and a B2+/C1 English level for effective stakeholder interactions.

This is a hybrid role based in Madrid´s city center, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!

Responsibilities

- Design, implement, and optimize CI/CD pipelines for continuous integration and delivery
- Ensure efficient build, test, and deployment workflows for multiple development teams
- Design, deploy, and manage applications using Kubernetes, Docker, Helm, and related technologies
- Manage containerized applications in a cloud-native environment (Azure, etc)
- Implement best practices for ingress, networking, and TLS termination
- Act as feature owners, coordinating with both internal and external stakeholders to fulfill the feature lifecycle
- Resolve bugs and work on stories within sprints, ensuring delivery of high-quality solutions
- Foster innovation, modernization, and the reduction of complexity
- Conduct Proofs of Concept (POC) to explore and pioneer new technologies for the bank
- Serve as pioneers within the bank for adopting and adapting to new systems and tools
- Embrace automation over manual processes to improve team productivity and efficiency
- Advocate for an "everything as code" approach
- Implement observability tools to monitor system performance and ensure uptime (Prometheus, Grafana, Dynatrace, etc)
- Set up logging, tracing, and alerting to proactively identify and resolve issues
- Use deployment tools such as Octopus Deploy, Jenkins, etc to manage releases

Requirements

- Master or Bachelor in Computer Science or a related area, or proven relevant working experience
- Strong knowledge of Corporate Identity (CI)/Corporate Design (CD) pipelines, cloud environments, containerization (Docker/K8s), and APIs
- Proven experience and strong knowledge of DevOps, with a strong understanding of CI/CD, containerization, and cloud platforms
- Proficiency in .NET (C#) or Java
- CI/CD Tools: GitLab, Jenkins, Azure DevOps, or equivalent
- Containerization & Orchestration: Kubernetes, Docker, Helm
- Databases: Microsoft SQL Server, Oracle, etc
- Observability & Monitoring: Prometheus, Grafana, Dynatrace, ELK Stack, Splunk, etc
- Cloud Platforms: Experience with Azure, AWS, or Google Cloud Platform
- Deployment Tools: Octopus Deploy, Terraform, or similar
- Version Control: Strong knowledge of Git for version control and collaboration
- You take pride in your work and strive to lead by example
- Comfortable working in agile and cross-functional teams, with excellent communication and collaboration skills
- You have a can-do attitude, are pragmatic, and open-minded
- Very good English level

Nice to have

- Strong experience with PowerShell, Bash, or Python for automation
- Networking: Understanding of ingress controllers, load balancers, and basic networking principles

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.