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Demant.NET Software Developer
Software Developer in agile team developing healthcare solutions for users with hearing disabilities. Involved in the whole process from requirements to testing and documentation.
About the role
- Lead end-to-end solution design and technical delivery for bank clients: integrations with CRM, PMS, core banking, market data, and data warehouses
- Run technical pre-sales and discovery workshops with bank stakeholders (IT, InfoSec, Compliance, RMs) to capture requirements and constraints (data residency, connectivity, SLAs)
- Create client-specific deliverables: architecture diagrams, integration specs, API contracts, deployment blueprints (on-prem/hybrid/cloud), and operational runbooks
- Lead PoCs and pilots: scope, timebox, deliver technical artefacts, measure success against acceptance criteria, and iterate with client feedback
- Ensure solutions meet regulatory and bank controls, produce compliance-ready documents for bank review and audit
- Design multi-tenant and per-bank isolation strategies: tenant separation, network segmentation, KMS per-client, and role-based access models
- Define MLOps & ModelOps patterns for production: model packaging, versioning, CI/CD, canary rollouts, drift detection, retraining cadence, and approval gates tailored to each bank’s governance
- Provide professional-service delivery leadership during rollout: cutover planning, data migration strategies, DR/BCP, runbooks, training, and support transition to bank operations or managed service
- Produce cost estimates, TCO models, and risk register for client proposals; engage with procurement and legal to evaluate vendor/cloud constraints
- Mentor internal engineers on bank-grade architecture and delivery best practices; contribute to reusable implementation patterns and onboarding kits for new bank customers
Requirements
- 6+ years in software architecture or technical delivery; 3+ years in ML/AI system design and production deployments
- Hands-on with cloud-native architectures (AWS/Azure/GCP), containers (Docker), and orchestration (Kubernetes) and experience implementing on-prem/hybrid deployments
- Practical experience with LLMs, RAG, embedding pipelines and vector DBs, and designing explainability and auditability into AI outputs
- Strong client-facing skills: running discovery workshops, producing SOW-level technical designs, and managing technical escalations
- 6+ years in software architecture or technical delivery; 3+ years in ML/AI system design and production deployments
- Hands-on with cloud-native architectures (AWS/Azure/GCP), containers (Docker), and orchestration (Kubernetes) and experience implementing on-prem/hybrid deployments
- Practical experience with LLMs, RAG, embedding pipelines and vector DBs, and designing explainability and auditability into AI outputs
- Strong client-facing skills: running discovery workshops, producing SOW-level technical designs, and managing technical escalations
Job title
Job type
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Not specified
Degree requirement
Tech skills
Location requirements
MR
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