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Backend Engineer

Backend Engineer

AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)

StartX Med

Remote

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Role description

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AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)

Mexico City / CMX / Mexico

Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

Ready to start your career at full speed?
What you’ll actually do

  • Ship production code in your first weeks — real features, real customers, real money moving.
  • Own features end to end: design, build, test, deploy, watch the metrics, fix what you broke.
  • Use AI across your workflow — coding, debugging, testing, research, automating the boring parts — and push the frontier of how your team uses it, not just how you do.
  • Work directly with Product, Design, and senior engineers. Ask the dumb question early; it’s cheaper than the wrong build.
  • Learn the domain deeply. B2B fintech in LatAm is genuinely hard — multiple countries, multiple regulators, real consequences. That’s what makes it interesting.

Two tracks — tell us which one fits you

Product Engineering (fullstack, backend-leaning)
Backend services, APIs, and the interfaces on top of them. Our stack leans Java/Spring Boot, React, PostgreSQL, Redis, Kafka, and AWS — but we don’t expect you to have used all of it. We expect you to have gone deep on
something
and to pick up the rest fast.

Data & ML Engineering
Pipelines, models, and the systems that make them useful in production — risk scoring, fraud signals, spend intelligence. Python, SQL, and modern data tooling. Applied and in production, not just notebooks.

Who you are

  • You’re at the start of your software career. Whether you finished your degree last month or took a different route to get here, this role is scoped for engineers without prior full-time software experience — and we’ll treat you accordingly.
  • A technical foundation. CS, Software Engineering, Mathematics, Physics or similar — or equivalent ability you can demonstrate in code.
  • You’ve built things, and you can point at them. A GitHub, a deployed app, a repo people actually use, a hackathon win, a contribution to open source, a bot that solved a real problem for real users. One thing you built and can defend in depth beats a list of ten you touched.
  • You’re AI-native and you can prove it. Not “I’ve used ChatGPT.” We mean: you’ve built with AI — agents, RAG, evals, fine-tunes, a tool that automates something you were sick of doing — and you use AI tools every day in how you code. Come ready to show us the artifact and walk us through the decisions.
  • Strong fundamentals. Data structures, algorithms, systems thinking. Competitive programming (ICPC, OMI, Codeforces), a strong thesis, or serious research all count and we want to hear about them.
  • English proficiency. English is our corporate language — you’ll read, write, and discuss technical work in it daily.
  • Ownership. You surface problems before they become blockers, you push things over the finish line, and you don’t wait to be told what to do. This is the single trait we screen hardest for.

Nice to haves

  • Basic proficiency in Portuguese or a desire to learn it.

Why join Clara
At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who We Are

  • We’re the leading B2B fintech for spend management in Latin America.
  • Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
  • Passionate about making Latin America more prosperous and competitive.
  • Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
  • Product-led, high-talent-density culture — designed for builders who raise the bar.
  • Proud of our open, inclusive, and values-driven environment.

What We Believe In

  • #Clarity. We say things clearly, directly, and proactively.
  • #Simplicity. We reduce noise to focus on what really matters.
  • #Ownership. We take responsibility and never wait to be told.
  • #Pride. We build products and experiences we’re proud of.
  • #Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
  • #Inclusivity. Every voice counts. Everyone contributes to our mission.

What We Offer

  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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  • North Macedonia+389
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  • Norway+47
  • Oman+968
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  • Palau+680
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  • Panama+507
  • Papua New Guinea+675
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  • Rwanda+250
  • Samoa+685
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  • Sudan+249
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3–5 sentences. Name one thing about this role specifically.

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Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

Ready to start your career at full speed?
What you’ll actually do

  • Ship production code in your first weeks — real features, real customers, real money moving.
  • Own features end to end: design, build, test, deploy, watch the metrics, fix what you broke.
  • Use AI across your workflow — coding, debugging, testing, research, automating the boring parts — and push the frontier of how your team uses it, not just how you do.
  • Work directly with Product, Design, and senior engineers. Ask the dumb question early; it’s cheaper than the wrong build.
  • Learn the domain deeply. B2B fintech in LatAm is genuinely hard — multiple countries, multiple regulators, real consequences. That’s what makes it interesting.

Two tracks — tell us which one fits you

Product Engineering (fullstack, backend-leaning)
Backend services, APIs, and the interfaces on top of them. Our stack leans Java/Spring Boot, React, PostgreSQL, Redis, Kafka, and AWS — but we don’t expect you to have used all of it. We expect you to have gone deep on
something
and to pick up the rest fast.

Data & ML Engineering
Pipelines, models, and the systems that make them useful in production — risk scoring, fraud signals, spend intelligence. Python, SQL, and modern data tooling. Applied and in production, not just notebooks.

Who you are

  • You’re at the start of your software career. Whether you finished your degree last month or took a different route to get here, this role is scoped for engineers without prior full-time software experience — and we’ll treat you accordingly.
  • A technical foundation. CS, Software Engineering, Mathematics, Physics or similar — or equivalent ability you can demonstrate in code.
  • You’ve built things, and you can point at them. A GitHub, a deployed app, a repo people actually use, a hackathon win, a contribution to open source, a bot that solved a real problem for real users. One thing you built and can defend in depth beats a list of ten you touched.
  • You’re AI-native and you can prove it. Not “I’ve used ChatGPT.” We mean: you’ve built with AI — agents, RAG, evals, fine-tunes, a tool that automates something you were sick of doing — and you use AI tools every day in how you code. Come ready to show us the artifact and walk us through the decisions.
  • Strong fundamentals. Data structures, algorithms, systems thinking. Competitive programming (ICPC, OMI, Codeforces), a strong thesis, or serious research all count and we want to hear about them.
  • English proficiency. English is our corporate language — you’ll read, write, and discuss technical work in it daily.
  • Ownership. You surface problems before they become blockers, you push things over the finish line, and you don’t wait to be told what to do. This is the single trait we screen hardest for.

Nice to haves

  • Basic proficiency in Portuguese or a desire to learn it.

Why join Clara
At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who We Are

  • We’re the leading B2B fintech for spend management in Latin America.
  • Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
  • Passionate about making Latin America more prosperous and competitive.
  • Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
  • Product-led, high-talent-density culture — designed for builders who raise the bar.
  • Proud of our open, inclusive, and values-driven environment.

What We Believe In

  • #Clarity. We say things clearly, directly, and proactively.
  • #Simplicity. We reduce noise to focus on what really matters.
  • #Ownership. We take responsibility and never wait to be told.
  • #Pride. We build products and experiences we’re proud of.
  • #Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
  • #Inclusivity. Every voice counts. Everyone contributes to our mission.

What We Offer

  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

244 results found

No results found

  • Afghanistan+93
  • Åland Islands+358
  • Albania+355
  • Algeria+213
  • American Samoa+1
  • Andorra+376
  • Angola+244
  • Anguilla+1
  • Antigua & Barbuda+1
  • Argentina+54
  • Armenia+374
  • Aruba+297
  • Ascension Island+247
  • Australia+61
  • Austria+43
  • Azerbaijan+994
  • Bahamas+1
  • Bahrain+973
  • Bangladesh+880
  • Barbados+1
  • Belarus+375
  • Belgium+32
  • Belize+501
  • Benin+229
  • Bermuda+1
  • Bhutan+975
  • Bolivia+591
  • Bosnia & Herzegovina+387
  • Botswana+267
  • Brazil+55
  • British Indian Ocean Territory+246
  • British Virgin Islands+1
  • Brunei+673
  • Bulgaria+359
  • Burkina Faso+226
  • Burundi+257
  • Cambodia+855
  • Cameroon+237
  • Canada+1
  • Cape Verde+238
  • Caribbean Netherlands+599
  • Cayman Islands+1
  • Central African Republic+236
  • Chad+235
  • Chile+56
  • China+86
  • Christmas Island+61
  • Cocos (Keeling) Islands+61
  • Colombia+57
  • Comoros+269
  • Congo - Brazzaville+242
  • Congo - Kinshasa+243
  • Cook Islands+682
  • Costa Rica+506
  • Côte d’Ivoire+225
  • Croatia+385
  • Cuba+53
  • Curaçao+599
  • Cyprus+357
  • Czechia+420
  • Denmark+45
  • Djibouti+253
  • Dominica+1
  • Dominican Republic+1
  • Ecuador+593
  • Egypt+20
  • El Salvador+503
  • Equatorial Guinea+240
  • Eritrea+291
  • Estonia+372
  • Eswatini+268
  • Ethiopia+251
  • Falkland Islands+500
  • Faroe Islands+298
  • Fiji+679
  • Finland+358
  • France+33
  • French Guiana+594
  • French Polynesia+689
  • Gabon+241
  • Gambia+220
  • Georgia+995
  • Germany+49
  • Ghana+233
  • Gibraltar+350
  • Greece+30
  • Greenland+299
  • Grenada+1
  • Guadeloupe+590
  • Guam+1
  • Guatemala+502
  • Guernsey+44
  • Guinea+224
  • Guinea-Bissau+245
  • Guyana+592
  • Haiti+509
  • Honduras+504
  • Hong Kong SAR China+852
  • Hungary+36
  • Iceland+354
  • India+91
  • Indonesia+62
  • Iran+98
  • Iraq+964
  • Ireland+353
  • Isle of Man+44
  • Israel+972
  • Italy+39
  • Jamaica+1
  • Japan+81
  • Jersey+44
  • Jordan+962
  • Kazakhstan+7
  • Kenya+254
  • Kiribati+686
  • Kosovo+383
  • Kuwait+965
  • Kyrgyzstan+996
  • Laos+856
  • Latvia+371
  • Lebanon+961
  • Lesotho+266
  • Liberia+231
  • Libya+218
  • Liechtenstein+423
  • Lithuania+370
  • Luxembourg+352
  • Macao SAR China+853
  • Madagascar+261
  • Malawi+265
  • Malaysia+60
  • Maldives+960
  • Mali+223
  • Malta+356
  • Marshall Islands+692
  • Martinique+596
  • Mauritania+222
  • Mauritius+230
  • Mayotte+262
  • Mexico+52
  • Micronesia+691
  • Moldova+373
  • Monaco+377
  • Mongolia+976
  • Montenegro+382
  • Montserrat+1
  • Morocco+212
  • Mozambique+258
  • Myanmar (Burma)+95
  • Namibia+264
  • Nauru+674
  • Nepal+977
  • Netherlands+31
  • New Caledonia+687
  • New Zealand+64
  • Nicaragua+505
  • Niger+227
  • Nigeria+234
  • Niue+683
  • Norfolk Island+672
  • North Korea+850
  • North Macedonia+389
  • Northern Mariana Islands+1
  • Norway+47
  • Oman+968
  • Pakistan+92
  • Palau+680
  • Palestinian Territories+970
  • Panama+507
  • Papua New Guinea+675
  • Paraguay+595
  • Peru+51
  • Philippines+63
  • Poland+48
  • Portugal+351
  • Puerto Rico+1
  • Qatar+974
  • Réunion+262
  • Romania+40
  • Russia+7
  • Rwanda+250
  • Samoa+685
  • San Marino+378
  • São Tomé & Príncipe+239
  • Saudi Arabia+966
  • Senegal+221
  • Serbia+381
  • Seychelles+248
  • Sierra Leone+232
  • Singapore+65
  • Sint Maarten+1
  • Slovakia+421
  • Slovenia+386
  • Solomon Islands+677
  • Somalia+252
  • South Africa+27
  • South Korea+82
  • South Sudan+211
  • Spain+34
  • Sri Lanka+94
  • St. Barthélemy+590
  • St. Helena+290
  • St. Kitts & Nevis+1
  • St. Lucia+1
  • St. Martin+590
  • St. Pierre & Miquelon+508
  • St. Vincent & Grenadines+1
  • Sudan+249
  • Suriname+597
  • Svalbard & Jan Mayen+47
  • Sweden+46
  • Switzerland+41
  • Syria+963
  • Taiwan+886
  • Tajikistan+992
  • Tanzania+255
  • Thailand+66
  • Timor-Leste+670
  • Togo+228
  • Tokelau+690
  • Tonga+676
  • Trinidad & Tobago+1
  • Tunisia+216
  • Turkey+90
  • Turkmenistan+993
  • Turks & Caicos Islands+1
  • Tuvalu+688
  • U.S. Virgin Islands+1
  • Uganda+256
  • Ukraine+380
  • United Arab Emirates+971
  • United Kingdom+44
  • United States+1
  • Uruguay+598
  • Uzbekistan+998
  • Vanuatu+678
  • Vatican City+39
  • Venezuela+58
  • Vietnam+84
  • Wallis & Futuna+681
  • Western Sahara+212
  • Yemen+967
  • Zambia+260
  • Zimbabwe+263

Paste the full URL, e.g. linkedin.com/in/your-name

City and country, e.g. Bogotá, Colombia

3–5 sentences. Name one thing about this role specifically.

A specific example beats a list of tools.

Monthly gross base salary, numbers only — pick the currency below.

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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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

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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.

1,028 more openings in this category and country

AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid)StartX Med

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AI-Native Engineer, New Grad (Ingeniero/a de Software AI-Native — Inicio de Carrera) - Mexico City (Hybrid) — StartX Med | mentors.coach