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Backend Engineer

Backend Engineer

Software engineer

Bending Spoons

Remote

Apply on the employer's site

Role description

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

  • Build software that matters.
    Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
  • Amplify your impact with AI.
    Integrate the most powerful AI tools directly into your development workflow—design, implementation, testing, and documentation—to move faster while maintaining high standards for correctness, reliability, and maintainability.
  • Master your toolkit.
    Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust—you’ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
  • Simplify relentlessly.
    Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.

What we look for

  • Reasoning ability.
    Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive.
    You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit.
    You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English.
    You read, write, and speak proficiently in English.

What we offer

  • Incredibly talented, entrepreneurial teams.
    You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth.
    We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • All. These. Benefits.
    Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  • A flexible start date and part-time options.
    You don't need to wait until graduation to apply. We offer flexible start dates and the possibility to begin part-time, transitioning to full-time as you complete your degree. Many Spooners joined before graduating and progressively took on greater responsibility, with arrangements that allowed them to do so without compromising their education.
  • Competitive pay and access to company equity at a discount.
    Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity.

Commitment & contract
Permanent or fixed-term. Full-time.

Location
Milan (Italy), Madrid (Spain), Warsaw (Poland), London (UK), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

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Backend Engineer

Senior Machine Learning Engineer

Randstad Hungary

Remotesenior

Apply on the employer's site

Role description

Organisation/Department

Our client is a US-headquartered, market-leading enterprise in their sector with a multi-decade history and an agile, global network. We are seeking a highly skilled Senior
Machine Learning Engineer
to join their expanding Budapest team as a senior technical individual contributor. Situated within the Data Engineering organization, you will operate at the intersection of data engineering, applied ML, and software engineering to design, build, and deploy production-grade ML infrastructure and agentic AI systems that directly impact the business.

Job description

  • End-to-End ML Pipeline Engineering:
    Design, build, and maintain production ML pipelines end-to-end — feature engineering, model training, evaluation, deployment, serving, and monitoring on AWS and Databricks.
  • Agentic AI Architecture:
    Architect and implement agentic AI orchestration systems using frameworks like LangChain, LangGraph, CrewAI, or custom layers, with production-grade reliability, observability, guardrails, planning loops, and memory management.
  • Feature Stores & Data Pipelines:
    Build and optimize feature stores, training data pipelines, and feature engineering workflows serving both batch and real-time inference workloads.
  • MLOps Infrastructure & Governance:
    Own MLOps infrastructure including CI/CD for models, automated retraining pipelines, A/B testing frameworks, model versioning, experiment tracking, and ML asset governance using MLflow, Unity Catalog, and Databricks Model Serving.
  • LLM Integration Patterns:
    Design and implement LLM integration patterns including RAG architectures, prompt management systems, tool-use frameworks, vector databases, and memory/state management.
  • Monitoring, Observability & Evaluation:
    Develop model monitoring for drift detection, performance degradation alerts, cost tracking, and automated remediation. Establish evaluation frameworks for predictive models (standard ML metrics, backtesting) and agentic systems (task completion, hallucination detection, tool-use accuracy, latency budgets).
  • Technical Leadership & Collaboration:
    Drive build-vs-buy and framework selection decisions backed by prototypes and benchmarks. Mentor ML engineers through technical design reviews, code reviews, and architectural guidance.

Required Experience

  • Core Background:
    6+ years in machine learning engineering, applied ML, or closely related software engineering roles with recent, demonstrated production delivery.
  • Production ML at Scale:
    2+ years building and operating production ML systems handling real traffic and business-critical decisions (not just notebooks or proof-of-concepts).
  • Databricks ML & AWS Ecosystem:
    Production experience with Databricks ML ecosystem (MLflow, Model Serving, Feature Store, Unity Catalog) and supporting AWS services (SageMaker, Bedrock, S3, Lambda, Step Functions, ECS/EKS).
  • Agentic AI Production Systems:
    Hands-on experience building agentic AI systems (multi-step orchestration, tool use, planning loops, memory management, human-in-the-loop patterns).
  • Core Tech Stack & Software Engineering:
    Deep proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost) with strong software engineering fundamentals (testing, version control, code review, CI/CD).
  • LLM & Inference Experience:
    Production experience with LLM applications (RAG pipelines, vector databases like Pinecone/Weaviate/Chroma/pgvector, embeddings, prompt engineering, fine-tuning) and real-time/batch inference optimization (quantization, distillation, caching).

Preferred Qualifications

  • Experience with multi-agent system architectures (specialization, inter-agent communication, shared state management, failure recovery).
  • Production experience with model fine-tuning and RLHF/DPO alignment techniques.
  • Hands-on GPU infrastructure management, distributed training, and compute optimization on AWS (EC2 GPU, SageMaker training jobs, Bedrock custom models).
  • Familiarity with streaming ML (online learning, real-time feature computation, event-driven inference) and AI guardrail/safety systems (content filtering, output validation, cost controls).
  • Contributions to open-source ML tooling or published applied ML work.
  • MS or PhD in Computer Science, Machine Learning, or a quantitative field (practical production experience weighted equally).

Benefits

  • High Technical Impact:
    A unique professional challenge to shape production predictive AI models and agentic orchestration workflows for a stable, market-leading global enterprise.
  • Competitive Compensation:
    Senior level base salary and annual target bonus.
  • Benefits Package:
    Cafeteria allowance and private health insurance package.
  • Flexibility:
    Hybrid working model requiring 3 days of office presence (Budapest) and offering 2 days of Home Office per week.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Backend Engineer

Architecte Solutions logiciel Aéronautique/Défense

Capgemini Engineering

Remotelead

Apply on the employer's site

Role description

Capgemini Engineering, leader mondial des services d'ingénierie , rassemble des équipes d'ingénieurs , de scientifiques et d'architectes pour aider les entreprises les plus innovantes dans le monde à libérer leur potentiel . Des voitures autonomes aux robots qui sauvent des vies, nos experts en technologies digitales et logicielles sortent des sentiers battus en fournissant des services uniques de R&D et d'ingénierie dans tous les secteurs d'activité . Rejoignez nous pour une carrière pleine d'opportunités , où vous pouvez faire la différence et où aucun jour ne se ressemble

Description du poste

Rejoignez Notre Centre D’Excellence Software Et Contribuez Au Développement De Solutions Innovantes Dans Les Secteurs De L’Aéronautique, Du Spatial, De La Défense Et Du Naval. Vous Interviendrez Sur Des Projets Stratégiques à Forte Dimension Technologique Autour Des Applications Web, Mobiles Et Cloud, Au Cœur Des Enjeux De Transformation De Nos Clients. Dans Ce Cadre, Vos Missions Seront De

  • Comprendre les besoins fonctionnels et applicatifs des clients et contribuer aux démarches d’avant-vente.
  • Concevoir des architectures logicielles robustes, évolutives et sécurisées pour des environnements critiques.
  • Développer et promouvoir des offres innovantes autour des technologies applicatives et cloud.
  • Piloter la cohérence entre les besoins du marché, la stratégie des solutions et les capacités internes.
  • Développer un réseau de partenaires et assurer une veille continue sur les évolutions technologiques du marché.

Description du profil

  • Diplômé(e) d’une école d’ingénieurs ou Bac+5, vous justifiez d’au moins 15 ans d’expérience en architecture logicielle dans un contexte industriel complexe ou critique
  • Vous disposez d’une expertise dans les secteurs Aéronautique, Spatial, Défense ou Naval et connaissez les standards associés
  • Vous maîtrisez les architectures distribuées, les API, les microservices, le cloud hybride et les enjeux de cybersécurité logicielle
  • Vous évoluez avec aisance dans plusieurs environnements techniques tels que C/C++, Java, Python, C#/.NET ou Go et possédez un niveau d’anglais avancé
  • Vous êtes reconnu(e) pour votre leadership technique, votre capacité à fédérer les équipes et votre esprit d’analyse.

3 raisons de nous rejoindre

Qualité de vie au travail
: accord de télétravail en France et à l’international, accord sur l’égalité professionnelle, la parentalité, l’équilibre des temps et la mobilité durable.

Apprentissage en continu
: certifications et formations en libre accès, accompagnement sur mesure avec votre career manager, parcours d’intégration sur 9 mois.

Avantages groupe & CSE
: plan actionnariat, activités à tarifs préférentiels, remboursement partiel vacances, remboursement de votre abonnement sportif ou culturel.

Nos engagements et priorités

Le groupe Capgemini encourage une culture inclusive dans un cadre multiculturel et handi-accueillant. En nous rejoignant, vous intégrez un collectif qui valorise la diversité, développe le potentiel de ses talents, s’engage dans des initiatives solidaires avec ses partenaires, et se mobilise pour réduire son impact environnemental sur tous ses sites et auprès de ses clients.

Leader mondial des services d’ingénierie et de R&D, Capgemini Engineering met en oeuvre une connaissance sectorielle approfondie avec la maîtrise des dernières technologies digitales et logicielles pour accompagner la convergence des mondes physique et numérique. Avec plus de 55 000 ingénieurs et scientifiques dans plus de 30 pays, nous aidons nos clients à accélérer leur transformation vers l'Intelligent Industry.

Get The Future You Want* |www.capgemini.com/fr fr

  • Capgemini, le futur que vous voulez

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Backend Engineer

Asset Management & Systems Analyst

Accenture Argentina

Remote

Apply on the employer's site

Role description

We are looking for an Asset Management & Systems Analyst to join our Supply Chain & Engineering team. In this role, you will collaborate on a project for a leading transportation company based in Canada, focused on improving control systems and inventory management.

As an Asset Management & Systems Analyst, you will support and optimize asset management systems and processes to improve asset performance, reliability, and lifecycle management. You will work closely with cross-functional teams, leveraging Enterprise Asset Management (EAM) platforms and digital tools to drive operational efficiency and data-driven decision-making.

👨‍💻 Key Responsibilities:

  • Support and optimize asset management systems and processes.

  • Collaborate with Operations, Maintenance, and Reliability teams to identify opportunities for improving asset performance.

  • Leverage data analytics and digital tools to enhance asset management practices.

  • Support the implementation of solutions for predictive maintenance and asset monitoring.

  • Contribute to the optimization of maintenance strategies.

  • Participate actively in team discussions and help resolve work-related challenges.

🎯
Must-have Skills:

  • Experience with Enterprise Asset Management (EAM) platforms such as SAP EAM, IBM Maximo, Hexagon EAM, or similar solutions.

  • Advanced English (the client is based in Canada, and the role requires regular interaction with international stakeholders).

  • Advanced SQL skills, including writing complex queries for asset and operational data analysis.

🚀 Nice-to-have Skills:

  • Experience with Hexagon EAM.

  • Knowledge of Asset Performance Management (APM) platforms.

  • Knowledge of Systems Engineering concepts.

  • Experience with predictive maintenance and asset monitoring.

  • Experience working with SCADA (Supervisory Control and Data Acquisition) systems.

  • Intermediate knowledge of Python.

  • Experience in transportation, manufacturing, utilities, or other asset-intensive industries.

🤳
Benefits We Offer You:

  • 🍔 Pedidos Ya delivery credits

  • 🏥 Swiss Medical premium healthcare plan at no cost for you and your immediate family

  • 🌐 Connectivity reimbursement

  • 🏋️ 100% covered gym membership

  • 🌴 Flexible vacation policy

  • ⏰ Flexible working hours

  • 📜 Sponsored certifications

  • 🎉 Day off on your birthday

  • 💰 Performance bonuses

  • 🗓 Accenture Days

  • 🎯 Flexible benefits package

  • 👶 Extended maternity & paternity leave

  • 🧸 Financial support for childcare

  • ➕ And many more!

  • We want you to have the tools you need to keep learning, growing, and making a difference in the world.

🌍
Location:
We have offices in
Buenos Aires, Córdoba, Mar del Plata, Rosario, Salta, and Mendoza
.

If you are based in other provinces, many of our positions are remote, so you can work from home.

🌈
Equality and Inclusion
At Accenture, equality drives innovation. We believe in building an inclusive and diverse workplace where everyone has equal opportunities.

All decisions related to recruitment and selection are made without distinction, exclusion, or preference based on race, color, gender, sexual orientation, disability, age, religion, political or union opinion, nationality, socioeconomic background, or any other characteristic protected by applicable law.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Backend Engineer

Développeuse / Développeur CRM - Stage

Capgemini

Remoteparttimelead

Apply on the employer's site

Role description

Choisir Capgemini, c'est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. Avec le soutien et l'inspiration d'une communauté d’experts dans le monde entier , vous pourrez réécrire votre futur . Rejoignez nous pour redéfinir les limites de ce qui est possible, contribuer à libérer la valeur de la technologie pour les plus grandes organisations et participer à la construction d’un monde plus durable et inclusif

Vos missions

Vous rejoindrez une équipe intervenant sur des projets variés grâce à la diversité des secteurs d'activité (Banque, Media, Energie, Retail…).

Vous participerez aux missions suivantes :

Paramétrer et développer des applications digitales (CRM / e commerce)

Participer à l'intégration technique de solutions CRM et e-commerce sur mesure dans un contexte Agile.

Concevoir des applications sur les plans technique et fonctionnel.

Paramétrer des solutions Salesforce (SFDC), réaliser les tests et les recettes fonctionnelles, puis participer à leur déploiement.

Cette description n’est pas limitative. Elle peut tout à fait évoluer en fonction de votre expérience, des projets en cours et de vos attentes.

Votre profil

En M1/M2 dans le domaine du développement logiciel

Compétences en développement (Java, APEX).

Curiosité technologique et volonté d’apprendre

Aisance en anglais (niveau B2 minimum)

3 Raisons de nous rejoindre

Avantages groupe :
bénéficiez d’un ensemble d’avantages tels que les primes de cooptation, tickets restaurant, ainsi que des activités sociales et culturelles variées proposées par le CSE. Des dispositifs d’accompagnement à la parentalité, comme le temps partiel à 90% pendant les vacances scolaires, sont également disponibles, ainsi que de nombreux autres avantages issus de nos accords collectifs.

Qualité de vie au travail :
profitez d’un équilibre entre vie professionnelle et personnelle, d’une possibilité de télétravailler (en France et à l’international), ainsi que des dispositifs de santé et bien-être (ligne d'écoute, plateforme dédiée...).

Environnement inclusif :
rejoignez des réseaux engagés comme Women@Capgemini, Parents@Capgemini, OUTfront ou CapAbility, et évoluez dans un cadre certifié EDGE+ et reconnu par le Bloomberg Gender Equality Index.

Happy Trainees :
notre engagement envers les jeunes talents est reconnu dans le classement HappyTrainees, preuve que chez nous, les stagiaires et alternants ne viennent pas juste apprendre… ils viennent s’épanouir !

Notre engagement et priorités

Le groupe Capgemini encourage une culture inclusive dans un cadre multiculturel et handi-accueillant. En nous rejoignant, vous intégrez un collectif qui valorise la diversité, développe le potentiel de ses talents, s’engage dans des initiatives solidaires avec ses partenaires, et se mobilise pour réduire son impact environnemental sur tous ses sites et auprès de ses clients.

A propos de Capgemini

Capgemini est un leader mondial, responsable et multiculturel, regroupant près de 350 000 personnes dans plus de 50 pays. Fort de 55 ans d’expérience, nous sommes un partenaire stratégique des entreprises pour la transformation de leurs activités en tirant profit de toute la puissance de la technologie et des innovations dans les domaines en perpétuelle évolution tels que le cloud, la data, l’Intelligence Artificielle, la connectivité, les logiciels, l’ingénierie digitale ou les plateformes.

Capgemini, partenaire de la transformation business et technologique de ses clients, les accompagne dans leur transition vers un monde plus digital et durable, tout en créant un impact positif pour la société. Le Groupe, responsable et multiculturel, rassemble 340 000 collaborateurs dans plus de 50 pays. Depuis plus de 55 ans, ses clients lui font confiance pour répondre à l'ensemble de leurs besoins grâce à la technologie. Capgemini propose des services et solutions de bout en bout, allant de la stratégie et du design jusqu'à l'ingénierie, en tirant parti de ses compétences de pointe en intelligence artificielle et IA générative, en cloud, et en data, ainsi que de son expertise sectorielle et de son écosystème de partenaires.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Software engineerBending Spoons · Italy

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