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Backend Engineer

Backend Engineer

Junior Software Engineer

EngRadar

Berlin

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Role description

EngRadar / Helsing

Junior Software Engineer

Helsing
Helsing is a defence AI company whose mission is to protect democracies through technological leadership.

Helsing
is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

BerlinLondonMunich Posted today defenseai

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The BSA2A initiative

Helsing’s mission is to protect our democracies. Delivering sovereign AI and mission-critical software capability requires exceptional engineering talent at every level.

Following our recent funding and the success of early-career engineers across our teams—including talent from our Formula Student partnerships—we are opening 20+ roles across our
Deployed AI
and
Software Engineering
teams.

Traditional recruitment often places artificial barriers in front of early-career builders. Resumes rarely tell the full story of your technical depth, intuition, or drive. To solve this, we are piloting a direct, craft-first hiring path:
Bring Something Awesome to Apply (BSA2A)
.

(This route is designed specifically for early-career engineers. It is entirely optional, you may still apply via our standard job listings if you prefer.)
The process

At the core of our technical interview philosophy is
Bring Something Awesome (BSA)
. A dedicated session where candidates present an ambitious technical project they have designed, built, or contributed to.

With BSA2A, We Are Bringing This Step To The Very Front Of The Application. Instead Of An Initial CV And Recruiter Screen, You Apply By Submitting a Short (maximum 10-minute) Prerecorded Video Walkthrough Of Something Technically Compelling You Have Built. We Look For

  • Engineering depth & craft: High-quality code, solid architectural choices, and systems-level thinking.
  • First-principles problem solving: The ability to deconstruct complex technical challenges autonomously.
  • Clear technical communication: The ability to explain the how and why behind your trade-offs succinctly.

Candidates selected through BSA2A move into an accelerated, streamlined technical assessment:

  • Expression of Interest: Complete the short form below to confirm your eligibility. Our team will review submissions on a rolling basis by [Date / DD Month].
  • Video Submission: Eligible candidates receive a private link with detailed guidance to upload their 10-minute BSA walkthrough. Every video is evaluated directly by a Helsing engineer not an algorithm or automated keyword filter.
  • Technical Interviews (2 × 60 mins):
  • Round 1: BSA Deep Dive & Systems Design. An interactive, technical exploration of your project and system trade-offs.
  • Round 2: Live Coding. Practical, real-world algorithmic and problem-solving assessment.
  • Final Interview (30 mins): A conversation with engineering leadership focused on mission alignment, collaboration, and how you work.

Note: The initial form below is simply an expression of interest.
You do not need your video recorded to submit this form.
If your profile is eligible, we will send you dedicated instructions and a submission window.
Why apply via this route?

  • Evaluated on proof of work, not pedigree: Your code, architectural choices, and technical curiosity take centre stage—not university ranking, buzzwords, or CV formatting.
  • Play to your strengths: Your application is assessed directly by Helsing engineers on what you can actually build, not how well you format a CV. Putting your real-world work front and centre gives you the highest signal—and the highest probability of success.
  • Accelerated timeline: A focused, high-signal path that bypasses standard preliminary screens and reduces the overall interview cycle by two full stages.

Who We Are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role
At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so
must
be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve.

The day-to-day

Find more information on the day-to-day: Deployed AI Engineer and Software Engineer.

  • Please note, you need to apply via this page to be considered for the BSA2A process.

You should apply if you

  • Communicate well in English, both verbally and in writing, with the ability to articulate complex architectural decisions to both technical and non-technical stakeholders.
  • Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.
  • Enjoy collaborating with others, including reviewing code and pair programming.
  • Are comfortable solving problems with code.
  • Feel like ethical considerations are an inherent part of software engineering.
  • You can reason about and write code independently, without relying on LLMs. Helsing operates in environments where LLM use isn't always permitted, so our interviews are designed to let strong engineers succeed on the strength of their own thinking.

Nice to have

  • Experience with Python and Rust.
  • Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.
  • Knowledge of container-based, cloud-native and edge application architectures.
  • Hardware interfaces (e.g., Arduino).
  • Robotics (e.g., control systems).

Note: We operate at an intersection where women, as well as other minority groups, are systematically
under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Join Helsing and work with world-leading experts in their fields

  • Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
  • The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
  • Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
  • In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
  • We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What We Offer

  • Competitive salary
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/£450 yearly allowance
  • Health & wellness: gym membership and mental health support (Nilo.health)
  • Social: regular company events and monthly social allowances
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
  • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Posted by
Helsing
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Backend Engineer

Senior Machine Learning Engineer

Randstad Hungary

Remotesenior

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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

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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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