Ofertes d'ocupació per a Desarrollo web

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. API Azure REST DevOps SharePoint Power BI

¿Quiénes somos?:

Neotalent Conclusion es una de las mayores especialistas del mercado ibérico en captación y gestión de talento informático y de ingeniería. Como parte del grupo neerlandés Conclusion, que se compone por un ecosistema de 25 empresas y 3.600 empleados, nos centramos en aumentar la capacidad tecnológica de nuestros clientes y acelerar la transformación digital de los mismos.

En Neotalent Conclusion, somos especialistas del talento. Atraemos a los mejores profesionales y los combinamos con los proyectos más ambiciosos, en el momento justo. Nuestro éxito radica en la inversión en innovación, orientación a resultados y, por encima de todo, en la garantía de que las personas tengan carreras felices y realizadoras.

Con más de 25 años de experiencia, Neotalent Conclusion cuenta con oficinas en Madrid, Lisboa y Oporto. Nuestra compañía está formada por un equipo de más de 850 profesionales entre sus diferentes áreas de operación.

Neotalent, the responsive people.

Más información en www.neotalent.pt/es y https://neotalent.pt/es/oportunidades-de-carrera/.

¡En Neotalent Conclusion estamos buscando un/a Senior Power Platform Developer!

¿Tienes experiencia desarrollando soluciones con Microsoft Power Platform y te gustaría participar en un proyecto de transformación tecnológica en un entorno internacional?

¡Esta puede ser tu próxima oportunidad!

Desde Neotalent Conclusion buscamos incorporar un/a Senior Power Platform Developer para unirse al equipo de Central Data Management y participar en la migración de una solución de gestión de datos existente hacia un entorno Microsoft Power Platform.

Ubicación: Barcelona

Modalidad: Híbrida

Idioma: Inglés alto (imprescindible)

Experiencia: Perfil Senior

¿Cuál será tu misión?

Te incorporarás a un equipo internacional, participando en un proyecto de migración y modernización de soluciones de gestión de datos mediante tecnologías Microsoft.

Entre tus principales responsabilidades estarán:

• Diseñar, desarrollar e implementar soluciones utilizando Power Apps, Power Automate y Dataverse.
• Participar en la migración de aplicaciones, datos y flujos de trabajo hacia Microsoft Power Platform.
• Analizar requisitos de negocio y transformarlos en soluciones técnicas eficientes.
• Desarrollar y mantener modelos de datos e integraciones.
• Optimizar procesos de automatización y mejorar las soluciones existentes.
• Colaborar con diferentes stakeholders y equipos técnicos.
• Gestionar proyectos de migración de principio a fin, garantizando la calidad de las soluciones.

¿Qué buscamos?

Requisitos técnicos imprescindibles:

• Experiencia sólida desarrollando soluciones con Power Apps (Canvas y Model-driven Apps).
• Conocimientos avanzados de Dataverse.
• Experiencia con Power Automate (flujos, automatizaciones e integraciones).
• Experiencia con Azure DevOps.
• Conocimientos y experiencia trabajando con REST API.
• Experiencia en migraciones de aplicaciones, datos y workflows dentro del ecosistema Power Platform.
• Nivel alto de inglés, tanto hablado como escrito.

Se valorará especialmente:

• Conocimientos de Power BI para reporting y analítica.
• Experiencia con integraciones de Microsoft 365 y Azure.
• Conocimientos de SharePoint, Microsoft Teams y otras herramientas del ecosistema Microsoft.
• Experiencia en administración y gestión de entornos Power Platform.
• Conocimientos de metodologías y prácticas DevOps.

¿Qué esperamos de ti?

Buscamos una persona autónoma, proactiva y con capacidad para trabajar de manera cercana con negocio y equipos técnicos.

Será importante contar con buenas habilidades de comunicación, capacidad para identificar necesidades, proponer soluciones y gestionar proyectos de principio a fin.

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Teletreball . API Linux Docker Cloud Coumputing Kubernetes REST IoT

Canonical is a leading provider of open-source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally distributed collaboration, with 1100+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable and growing.

We are hiring a Senior Software Engineer on the Web Engineering team to drive best practices across the team, for all disciplines, bringing great ideas to the table to lead technical conversations. They identify risks and communicate them to relevant stakeholders, asking the right questions to move a project forward. Within the team there are fantastic opportunities to gain deep technical knowledge of complex products in innovative and fast-growing areas of the tech world with space and support to hone your craft. We value transparency, intellectual honesty and teamwork.

As a Senior Software Engineer at Canonical, you will own the development of large projects. Encourages rigorous and efficient engineering process. Writes specifications and understands risks. Works to reduce complexity. Is capable of taking on technical lead responsibilities to drive an initiative to completion. Follows industry trends and new technologies. Capable of representing their team as a subject matter expert with cross-team credibility. An exemplary engineer who mentors and develops those around them in a structured and systematic manner, sharing this responsibility for their immediate team with their manager.

Location: This role will be based remotely in the EMEA region.

The role entails

• Identifying what matters for the team and driving initiatives to improve them
• Design and implement well-tested and documented software
• Debug and fix issues encountered by your users
• Leading in our engineering process through code and architectural reviews
• Contribute to technical documentation to make it the best of its kind
• Seek improvements to engineering and operations practices
• Deploy and operate services developed by the team
• Contribute to the success of your product through technical advocacy
  
  

What we are looking for in you

• Curate technical quality standards by designing the architectural approach to support business objectives
• You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
• An exceptional academic track record from both high school and university
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above and beyond expectations
• Well-organised, self-starting and able to deliver to schedule
• Displays competency in researching new technology or approaches, and is able to tastefully and sustainably integrate changes and more modern approaches to technical projects.
• Provides comprehensive and insightful code review on items of any size within the project
• An eye for accessibility and performance
• Professional written and spoken English
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Excellent communication and presentation skills
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events for up to two weeks each
  
  

Nice-to-have skills

• Experience with container tech such as LXD, Docker and Kubernetes
• Experience fostering and maintaining a talented team by defining excellence
• REST API design, development and governance
• Drive to deliver performance engineering and security experience
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long-haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal-opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity we will give your application fair consideration.

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Teletreball . API Python TSQL Cloud Coumputing REST Google Ads Kafka Spark LESS Salesforce

Job Description

Kleinanzeigen reaches 36M+ monthly users and is Germany’s leading online classifieds market. We are a sustainability-focused platform where you won't just write code; you will power the services that bridge our high-traffic backend with seamless user experiences.

As a Data Engineer (Analytics & Products) at Kleinanzeigen, you start where the data need begins — not where the code does. You will work directly with product managers, analysts, and domain stakeholders to understand what decisions the data needs to support, how it will be consumed, and what already exists in the platform before writing a single line. From there, you design and build data assets that are homogeneous with the existing stack, cost-effective at scale, maintainable by the next engineer, and self-discoverable, so consumers can find, understand, and trust what you built without asking you.

You will own the full lifecycle: ingestion through Airflow DAGs, transformation across dbt stage, core, and report layers on Databricks, and the quality, documentation, and observability that make those assets production-grade. You stay current with Airflow and design DAG topology deliberately, knowing when to use dynamic task mapping, data-aware scheduling, the TaskFlow API, or a Cosmos dbt task group with Watcher mode for performance-critical pipelines. You understand Spark well enough to know why a dbt incremental model running in Databricks produces a full table scan instead of a partition filter push-down, how a poorly configured merge operation compounds into file fragmentation over time, and what to do about it, whether that means adjusting the incremental strategy, adding liquid clustering, running OPTIMIZE, or rethinking the model grain entirely. You write Python and shell scripts as naturally as SQL and follow engineering core principles: modularity, idempotency, testability, not because they are rules, but because they make your work last.

You operate in an AI-First engineering model: AI handles execution; you own intent, precision, and correctness. You use it to automate, to accelerate best practices, and to raise the quality bar across the team, not to ship faster with less judgment. You will collaborate closely with analysts, product managers, data platform engineers, and stakeholders across the company to ensure that the datasets we create and maintain in our data platform are reliable, trustworthy, and built to serve the decisions that matter.

Job requirements

Data Modelling & dbt Development

• Implement dbt models across the medallion architecture applying the right materialisation strategy for each layer and use case — incremental, full refresh or snapshots — with consistent naming conventions, YAML documentation, metadata tagging, unit tests to validate critical business logic, and reusable macros for common transformation and data replication patterns
• Build and refactor models for different business areas of the company, including for example marketing performance, product metrics, C2C transactions, monetisation, vibrancy, and trust & safety
• Author reusable macros and apply consistent naming conventions, YAML documentation, and metadata tagging (billed, retention, gdpr)
• Design data models that are homogeneous with the existing stack, built at the right grain for the use case, cost-effective to run, and self-discoverable without needing the author to explain them
• Perform cost-aware modelling: clustering strategies, warehouse sizing, incremental scan reduction, and pre-aggregation layers
  
  

Data Ingestion & Pipeline Engineering

• Build and maintain Airflow DAGs using Python operators, designing DAG topology deliberately by choosing execution patterns, dependency structures, and sensor logic that match the operational requirements of each pipeline
• Design sensor logic for pipeline dependencies, including intraday vs daily completeness checks and DST-aware temporal handling
• Operate Cosmos dbt task groups within Airflow, including DAG splitting, warehouse selection, and Cosmos version upgrades
• Integrate new data sources end-to-end by building reliable, fault-tolerant connections across heterogeneous endpoint types including REST APIs, event streams, database connectors and file-based sources, with error handling, retry logic, and security patterns that make each integration production-safe from day one, unit testing every operator and transformation component where possible, and defining SLAs and SLOs that set clear expectations on data freshness, completeness, and availability for downstream consumers
• Work with data in the right format for each layer: Avro for event-driven ingestion schemas, Parquet for efficient columnar storage, and Delta for ACID-compliant lakehouse tables with time travel and schema evolution
  
  

Data Quality & Reliability

• Write dbt tests (not_null, unique, accepted_values) and semantic row-count checks to catch data quality issues before they reach consumers
• Author unit tests for critical business logic using dbt's unit test framework
• Own data quality across the full lifecycle: design and maintain quality check pipelines combining dbt tests, semantic validation and custom logic, monitor pipeline health proactively before issues reach downstream consumers, diagnose and resolve root causes across schema drift, silent failures, duplicate data and idempotency issues, and plan and execute backfills safely with pre-validation, before and after checks and documented rollback criteria
• Apply governance standards consistently across every pipeline and data asset you own, ensuring compliance requirements, data classification, retention policies and ownership accountability are traceable and maintained as the platform evolves
• Contribute to the reliability of the platform beyond your own work, flagging systemic issues, improving shared patterns, and leaving every codebase and dataset in better shape than you found it
  
  

Cost Optimisation

• Identify and implement cost reduction opportunities: warehouse downsizing, incremental model rewrites, DAG consolidation, unused table deprecation
• Ensure governance rules for compliance and cost ownership are applied consistently across pipelines and data assets — including tagging standards (business_unit, business_area, team) in Airflow and dbt
• Evaluate and act on compute cost signals from Databricks query cost tables
  
  

Stakeholder Collaboration & Knowledge Sharing

• Partner with analysts, product managers and domain teams to translate business requirements into accurate, reusable data models, and enable them to build and own their own data assets through patterns, templates, PR reviews and pair programming
• Provide consultancy and training to product teams on data ingestion and transformation patterns
• Support analysts in adopting dbt for report-layer development, including onboarding, PR review, and pair programming
• Enable teams to build their own data products: provide patterns, templates, and consultancy so analysts and product teams can develop and own report-layer assets independently
• Define and document reusable metrics, dimensions and business logic in the semantic layer, and capture institutional knowledge including domain assumptions, architectural decisions and data lineage context so it lives in the codebase and not in people's heads
• Participate in cross-team alignment on data model standards, shared definitions and platform evolution, representing the data engineering perspective in decisions that affect multiple domains
  
  

AI-First Engineering

• Review and verify all AI-generated code before submitting for peer review — you own correctness, not the AI
• Maintain machine-readable context files (CLAUDE.md) in repositories you own, capturing architectural constraints, naming conventions, and domain-specific rules for AI agents
• Use AI tooling as a force multiplier: author intent specifications, verify AI-generated outputs with full ownership of correctness, contribute to shared skills and context files, and use automation to raise quality standards across the team
• Build and iterate on Claude agents for scoped engineering tasks (e.g. report-layer model extension, documentation generation, comparison notebooks)
• Orchestrate multi-agent workflows for complex tasks (large-scale migrations, documentation backfills, cross-domain refactors) while verifying outcomes
• Contribute to the team's AI Skill Library: dbt patterns, ingestion templates, data quality check agents
  
  

Job responsibilities

Required

• Advanced SQL: window functions, CTEs, query optimisation, partitioning and clustering, with enough depth to understand execution plans and diagnose performance issues
• Hands-on production experience with dbt across the medallion architecture: models, tests, unit tests, macros, snapshots, YAML documentation and materialisation strategies
• Experience building and operating Airflow DAGs using Python operators, with the ability to design DAG topology deliberately for different pipeline requirements
• Proficiency in Python and shell scripting for pipeline development, ingestion tasks and operational tooling
• Solid understanding of lakehouse concepts and data formats: Delta Lake for ACID-compliant storage, Parquet for columnar efficiency, and Avro for event-driven schema definition
• Ability to work independently: owning tickets from design through delivery, including incident response and backfills
• Ability to gather requirements from non-technical stakeholders, understand consumption patterns, and translate business needs into data models that are accurate, maintainable and cost-effective
• Experience defining and maintaining schema definitions (Avro/ODIN or equivalent schema registry)
• Fluency with AI-assisted development workflows as part of daily practice: authoring intent specifications, verifying and owning AI-generated outputs, and contributing to shared context and tooling so the whole team benefits
• Experience with semantic layer concepts: defining reusable metrics, dimensions, and business logic that serve as a single source of truth across consumers (e.g. dbt Semantic Layer, Looker LookML, or equivalent)
• Spark comprehension at the level needed to understand how Databricks processes dbt models, read execution plans, and diagnose and fix performance issues such as full table scans, merge inefficiencies and file fragmentation
• Engineering fundamentals applied to data work: modularity, idempotency, testability and single responsibility as default practices, not afterthoughts
• Experience treating cost as a first-class constraint: identifying and acting on optimisation opportunities across compute, storage and pipeline design
  
  

Nice to Have

• Experience with Kafka or event-driven ingestion
• Familiarity with Salesforce, Google Ads, Meta, or other marketing/CRM APIs
• Experience with data modelling patterns and when to apply each: dimensional modelling, star schema, wide tables, one big table, slowly changing dimensions, and normalisation vs denormalisation tradeoffs
• Exposure to compliance requirements in data engineering: data classification, retention policies and privacy-aware modelling
• Experience with cost optimisation in cloud data platforms
• Experience orchestrating multi-agent AI workflows for complex engineering tasks
• Contribution to shared AI tooling, skills, or context files in previous roles
  
  

What Makes You a Great Fit

• Proactive by default: you don't wait to be asked. You flag issues before they become incidents, own follow-ups after delivery, and look for ways to improve things beyond the scope of your ticket.
• Generous with knowledge: you enjoy sharing what you know, whether that's through documentation, pair programming, code reviews, or supporting analysts and product teams in adopting the data platform.
• A team builder: you care about the people around you as much as the work. You contribute to a culture where the team gets better together, not just individually.
• An architect of intent, not just a code translator: you define the what and why with precision, use AI to handle the how, and verify that the output actually solves the problem. You understand that AI commoditizes syntax production — your value is in T-shaped thinking that connects business context, data modeling, and technical constraints.
• Quality-first mindset enabled by AI: you treat comprehensive testing, documentation, and data quality checks as non-negotiable — precisely because AI has made them cheap to produce. Low test coverage is no longer a time constraint; it's a choice.
  
  

Job benefits

At Kleinanzeigen, we care about our people — their wellbeing, growth, and life beyond work. Our benefits are designed to support you holistically, giving you flexibility and opportunities to thrive.

✨ Flexibility

• 26 business days of paid annual holidays
• 20 days “work from anywhere”
• Flexible working time (hybrid)
• Paid additional parental leave for both parents
• Extra paid days off for special occasions (e.g. your wedding or a move)
  
  

❤️🩹 Wellbeing & Support

• Private health insurance
• Gym Pass (may cover up to 70% of gym membership fees)
• 40€ per month as a remote working allowance.
  
  

📚 Growth & Development

• Personal development budget
• Learning opportunities to grow your skills and career
• A unique position in an international and dynamic environment
• A flat, collaborative culture where your feedback actively shapes our processes
  
  

🛍️ Perks & Everyday Benefits

• Competitive compensation package (Base salary + annual bonus)
• Flexible Remuneration Program (tax-efficient options for transport, restaurant vouchers and childcare)
• Corporate benefits and exclusive discounts
• An attractive referral program
  
  

Kleinanzeigen is an equal opportunity employer that values diversity and inclusion. We welcome people of all backgrounds, races, religions, colours, national origins, gender identities, sexual orientation, ages, marital status, or disability status.

If this role sparks your interest but you’re not sure you meet every single requirement, we’d still love to hear from you anyway!

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. API Microservices

¿Estás preparadx para un cambio y explotar tus habilidades como nunca? 👉🏼 Sigue leyendo porque tenemos lo que buscas…

🛸 ¿Quiénes somos? 🛸

Somos una empresa internacional con más de 18 años de experiencia en consultoría e ingeniería informática.

Con más de 2.500 Primers operando en 4 sectores principales en todo el mundo: IT, Telecomunicaciones, Energía e Infraestructuras

Nos puedes encontrar en más de 50 ciudades en todo el mundo:

ESPAÑA | PORTUGAL | FRANCIA | REINO UNIDO | ITALIA | SUIZA | POLONIA | BRASIL

🕵🏽 ¿Qué buscamos? 🕵🏽

• Al menos 3 años de experiencia en gestión de proyectos IT directamente en el sector de la banca.
• Experiencia gestionando proyectos IT, aportando dirección funcional a nivel de comunicación y coordinación y conocimiento técnico de alcance trasversal (desarrollo de microservicios y comunicación API, integraciones externas, sistemas...) a fin de potenciar la dirección del ciclo del proyecto.
• Conocimiento sobre producto bancario y su desarrollo IT (hipotecas, seguros, pagos, riesgos...) así como el impacto de la normativa pertinente.
• Buenas dotes de comunicación que faciliten actuar como nexo entre la parte de negocio y de desarrollo.
• Experiencia previa gestionando proyectos en dominios como: Medios de Pago, Personas/Clientes, Activo, Valores, Pasivo, CRM, Data & Analytics, AML, Reporting Financiero.
• Formato híbrido en Donosti/San Sebastián o en Bilbao.

¡¡Y lo más importante de todo que realmente estés motivadx para un cambio!!

🚀 ¿Qué ofrecemos? 🚀

Podemos asegurarte que contamos con el mejor equipo de todo el sector. Desde el proceso de selección, tu incorporación y hasta nuestro desarrollo profesional te ofrecemos un acompañamiento y un seguimiento personalizado en todo momento. Y a todo esto súmale transparencia total en todos los pasos.

Pinta bien, ¿verdad?

📝 Condiciones 📝

📍Donosti/San Sebastián - Bilbao

🧑🏽 💻Híbrido

💸 35.000 – 45.000

Tenemos la seguridad de que ya sabes qué es lo que muchas empresas te ofrecen y por supuesto estamos a la altura:

• Vas a contar con un plan de carrera, crecimiento, proyección y desarrollo profesional personalizado

• Tendrás acceso a formación continua para que puedas estar al día.

• Podrás participar en proyectos nacionales e internacionales con opción a movilidad.

• No todo va a ser trabajar, por eso disfrutar de la tarjeta restaurante y seguro médico nos parece esencial.

• ¡¡¡Teambuildings, afterworks y muchas más sorpresas!!!

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. API C# Python TSQL Android iOS Big Data Office

Scopely is looking for a Senior Quality Engineer to join our MONOPOLY GO! game team in Barcelona or Seville on a hybrid basis (3 days a week in office.)

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.

At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day.

The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership.

The Role

We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD.

You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness.

What You Will Do

• Build reusable engineering solutions. Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend.
• Improve testability from the start. Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities.
• Balance building with hands-on testing. Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions.
• Develop mobile and Unity automation. Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance.
• Strengthen API and integration testing. Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests.
• Validate player-state consistency and recovery. Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity.
• Investigate failures across systems. Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage.
• Validate mobile and backend performance. Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers.
• Apply risk-based testing. Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing.
• Integrate validation into CI/CD. Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures.
• Improve test data and environments. Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce.
• Develop AI-assisted quality workflows. Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes.
• Strengthen telemetry validation and quality visibility. Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions.
• Help establish the QE organization. Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality.
  
  

What We're Looking For

• Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers.
• Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design.
• Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions.
• Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD.
• Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly.
• Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions.
• Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs.
• Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology.
• Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams.
  
  

Additional Experience We Value

• Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games.
• Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization.
• Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team.
  
  

What success looks like

Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value.

Please ensure that the résumé/CV you attach is written in English.

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

Teletreball . API PHP Python Kubernetes AWS PostgreSQL Redis Office

Who We Are 🌍

Creating content that resonates is great — turning that attention into growth is even better. That's what Manychat does.

Our AI-powered automations help creators and brands engage with audiences across Instagram, Messenger, WhatsApp, and TikTok — at the right moment, with the right message, minus the manual work.

We're 400+ people across three continents behind the leading platform for conversational growth, with AI skills shaping how we build, how we work, and how we grow.

Who We're Looking For 🌟

Your decisions here won't get lost in a big system. They'll define it.

As Staff Backend Engineer for Manychat for Brands, you’ll own the technical side of a new product. You’ll set the architecture and technical priorities with the team, and decide what lives in our Python services and what stays in the PHP-based Manychat platform. It’s an individual contributor role with a lot of room to make an impact.

The product fills a real gap. Brands pay influencers to post but then can’t see what happens next. We’re building the first view that shows it: who asked for the link, who opened the DM, who clicked, for every campaign, creator and post.

You’ll work with Product as a partner and stay close to brands and creators, so feedback reaches you fast and helps you shape Manychat for Brands.

Sound like you? Let’s talk!

YOUR FUTURE TEAMMATES 👋

Meet The Engineering Team

We keep Manychat running smoothly under high load every single day and make sure it's ready to scale even further. We do it by combining strong engineering foundations with AI tools that let us move faster without cutting corners. And we're the ones who shape and own what gets built. AI accelerates. Humans own the thinking.

What You'll Do 🚀

• Set the architecture and technical priorities for Brands together with the Engineering Manager and the team: service boundaries, data models, authentication, access control, and integration with the core Manychat platform.
• Decide which logic belongs in the Python-based Brands services and which stays in the PHP-based Manychat platform. Think about data ownership, reliability, and long-term maintenance.
• Lead big system-level changes when the path isn't clear yet. Explore options, split the work into measurable milestones, and plan data migrations, gradual rollouts, and rollbacks.
• Define reliability and performance requirements for key Brands workflows. Set metrics and observability, and check the impact of your changes on production data.
• Find the root causes of slowdowns and repeated incidents across service boundaries, using metrics, logs, and distributed tracing.
• Work with Security, Infrastructure, and Platform teams on solutions. Decide what to fix in the application and what needs other teams, and explain the trade-offs clearly.
• Work with Product on the approach and scope of solutions, and suggest simpler options when you see them.
• Make technical decisions easy to follow: document key choices and the reasons behind them, do thorough design and code reviews, and share your knowledge in complex areas.
  
  

TO SHINE IN THIS ROLE 💥

You'll Need

• Deep expertise in Python backend development and a broad view of backend architecture beyond one language. You can understand existing systems, even when the technology is new to you.
• A strong product mindset. You work closely with Product Managers, challenge assumptions, and explain technical trade-offs in terms of user experience, timelines, and product capabilities.
• Experience owning the architecture and production operations of a product or a large technical area, not only delivering separate features.
• A solid understanding of distributed systems and data flows: API contracts, async processing, data consistency, retries, idempotency, and failure handling.
• Knowledge of how backend applications are deployed and run in production: configuration, networking, and external dependencies.
• Knowledge of application security basics: authentication, authorization, data isolation, and access management.
• Comfort in a fast-changing environment. Things can shift quickly here, and the team relies on everyone's proactivity and ownership.
• Strong English for technical and product discussions and for documentation.
  
  

It Would Be Great If You Have

• Hands-on PHP experience, on top of understanding how our Python and PHP systems work together.
• Experience with ETL/DWH pipelines and analytics systems.
• Experience with environment configuration, CI/CD, and Infrastructure as Code.
• Experience improving AI-assisted software development practices.
  
  

Our tech stack: Python, FastAPI, Pydantic, SQLAlchemy, PostgreSQL, Redis, and Celery. Our services integrate with Manychat's PHP-based platform. Everything runs on AWS and Kubernetes, with Terraform/Terragrunt for infrastructure. You don't need hands-on experience with every tool. Technical depth and the ability to reason about complex systems matter most.

What We Offer 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package: no one-size-fits-all perks here. You get a budget and you decide where it goes, from health and wellbeing to family and setting up your home office.
• 🪴 Hybrid work and generous, flexible time off — planned with your team, not rationed by a rigid quota.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.
• 🤖 AI isn't a perk here — it's how we work. Claude, OpenAI, and more are on by default from day one, and we back teams in adopting whatever makes them faster.
  
  

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

. API

Buscamos un perfil senior de PMO / Project Manager de Ciberseguridad para liderar un proyecto de securización de APIs en cliente del sector bancario.

Será responsable de coordinar a los diferentes stakeholders y equipos del banco para realizar el descubrimiento e inventariado de APIs, identificar cuáles están expuestas a Internet, evaluar su nivel de riesgo y seguridad y coordinar la definición del baseline de seguridad y la posterior hoja de ruta de remediación.

Experiencia/conocimientos

Gestión y coordinación de proyectos de Ciberseguridad.

Conocimientos de API Security y seguridad de aplicaciones.

Experiencia coordinando assessments, identificación de riesgos y planes de remediación.

Conocimientos de autenticación, autorización y mínimo privilegio.

Valorable conocimiento de OWASP API Security Top 10, OAuth 2.0, OIDC, API Gateway, WAF, etc.

Capacidad de interlocución y coordinación con Arquitectura, Desarrollo, Infraestructura, Seguridad y Negocio.

Seguimiento de planificación, riesgos, dependencias, acciones y reporting ejecutivo.

Sector: Banca.

inicio: 01/01/2027

Presencialidad: 1 o 2 días. Madrid

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

Teletreball . API Java NoSQL REST Spring Microservices Kafka DDD

We are knowmad mood ! Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Formado por más de 3.000 personas creativas, digitales e innovadoras conectadas a un propósito y capaces de generar conexiones con personas de todo el mundo. Un equipo responsable, flexible y con alta capacidad de adaptación a las necesidades de nuestros clientes y del mercado, a la vez que proporciona valor, visión, creatividad, expertise, profesionalidad y pasión por la tecnología en cada proyecto.

Responsabilidades

Desarrollo de funcionalidades backend utilizando Java y tecnologías del ecosistema Spring.

Diseño e implementación de arquitecturas basadas en microservicios.

Participación en el diseño y evolución de APIs bajo enfoque API First.

Colaboración en revisiones de código y definición de buenas prácticas de desarrollo.

Aplicación de principios SOLID, Clean Code y patrones de diseño.

Participación en entornos basados en metodologías Spec Driven Development (SDD).

Uso de herramientas de Inteligencia Artificial para mejorar la productividad y la calidad del software.

Colaboración con equipos multidisciplinares en la construcción de soluciones escalables, robustas y mantenibles.

Requisitos

Experiencia en desarrollo de software de más de 3 años .

Experiencia sólida en desarrollo backend con Java.

Experiencia con Spring Boot y Spring Data.

Conocimiento de arquitecturas de microservicios y arquitectura hexagonal.

Experiencia con metodologías SDD (Spec Driven Development).

Experiencia diseñando APIs REST mediante OpenAPI/Swagger.

Conocimientos de SOLID, Clean Code, DDD y testing.

Experiencia con Kafka o sistemas de mensajería similares.

Experiencia con bases de datos relacionales y NoSQL.

Conocimientos de Kubernetes/OpenShift y entornos CI/CD.

Experiencia trabajando con herramientas como GitHub, SonarQube, Grafana o Dynatrace.

Experiencia en testing unitario e integración.

¿Qué ofrecemos?

Contrato indefinido Modelo de trabajo en remoto .

Opción de ir a trabajar a oficinas pero siempre a elección del trabajador.

Horario flexible: horario flexible entrada 8.30h salida 18h con viernes intensivo de 8h a 15h y en verano (julio y agosto) intensivo de 8h a 15h

Vacaciones: 22 días de vacaciones + 2 días de libre disposición, además de los días 24 y 31 de diciembre libres.

Contrato indefinido: Desde el primer día, con opción de 12 o 14 pagas.

Retribución flexible: Tarjeta restaurante, cheque guardería, seguro médico, formación y otros beneficios con ventajas fiscales.

Club de ventajas: Descuentos en tecnología, ocio y formación.

Formación continua: Acceso a Udemy Business, cursos de idiomas, certificaciones oficiales y formación técnica.

Plan de carrera: Acompañamiento para crecer, especializarte o asumir nuevos retos.

Bienestar integral: Programas de nutrición, actividad física y equilibrio emocional.

Conciliación +VIDA: Asistencia personal y familiar 24/7.

Ambiente inclusivo: Entorno diverso y multicultural.

Eventos sociales: Actividades para conectar con el equipo.

En knowmad mood nos comprometemos con la igualdad de oportunidades y el respeto a la diversidad. Aplicamos nuestro Plan de Igualdad y el principio de no discriminación en todos nuestros procesos de selección.

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

Teletreball . API Java NoSQL REST Spring Microservices Kafka DDD

We are knowmad mood ! Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Formado por más de 3.000 personas creativas, digitales e innovadoras conectadas a un propósito y capaces de generar conexiones con personas de todo el mundo. Un equipo responsable, flexible y con alta capacidad de adaptación a las necesidades de nuestros clientes y del mercado, a la vez que proporciona valor, visión, creatividad, expertise, profesionalidad y pasión por la tecnología en cada proyecto.

Responsabilidades

Desarrollo de funcionalidades backend utilizando Java y tecnologías del ecosistema Spring.

Diseño e implementación de arquitecturas basadas en microservicios.

Participación en el diseño y evolución de APIs bajo enfoque API First.

Colaboración en revisiones de código y definición de buenas prácticas de desarrollo.

Aplicación de principios SOLID, Clean Code y patrones de diseño.

Participación en entornos basados en metodologías Spec Driven Development (SDD).

Uso de herramientas de Inteligencia Artificial para mejorar la productividad y la calidad del software.

Colaboración con equipos multidisciplinares en la construcción de soluciones escalables, robustas y mantenibles.

Requisitos

Experiencia en desarrollo de software de más de 3 años .

Experiencia sólida en desarrollo backend con Java.

Experiencia con Spring Boot y Spring Data.

Conocimiento de arquitecturas de microservicios y arquitectura hexagonal.

Experiencia con metodologías SDD (Spec Driven Development).

Experiencia diseñando APIs REST mediante OpenAPI/Swagger.

Conocimientos de SOLID, Clean Code, DDD y testing.

Experiencia con Kafka o sistemas de mensajería similares.

Experiencia con bases de datos relacionales y NoSQL.

Conocimientos de Kubernetes/OpenShift y entornos CI/CD.

Experiencia trabajando con herramientas como GitHub, SonarQube, Grafana o Dynatrace.

Experiencia en testing unitario e integración.

¿Qué ofrecemos?

Contrato indefinido Modelo de trabajo en remoto .

Opción de ir a trabajar a oficinas pero siempre a elección del trabajador.

Horario flexible: horario flexible entrada 8.30h salida 18h con viernes intensivo de 8h a 15h y en verano (julio y agosto) intensivo de 8h a 15h

Vacaciones: 22 días de vacaciones + 2 días de libre disposición, además de los días 24 y 31 de diciembre libres.

Contrato indefinido: Desde el primer día, con opción de 12 o 14 pagas.

Retribución flexible: Tarjeta restaurante, cheque guardería, seguro médico, formación y otros beneficios con ventajas fiscales.

Club de ventajas: Descuentos en tecnología, ocio y formación.

Formación continua: Acceso a Udemy Business, cursos de idiomas, certificaciones oficiales y formación técnica.

Plan de carrera: Acompañamiento para crecer, especializarte o asumir nuevos retos.

Bienestar integral: Programas de nutrición, actividad física y equilibrio emocional.

Conciliación +VIDA: Asistencia personal y familiar 24/7.

Ambiente inclusivo: Entorno diverso y multicultural.

Eventos sociales: Actividades para conectar con el equipo.

En knowmad mood nos comprometemos con la igualdad de oportunidades y el respeto a la diversidad. Aplicamos nuestro Plan de Igualdad y el principio de no discriminación en todos nuestros procesos de selección.