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Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureCloudDockerETLGrafanaGraphQLJavaScriptJenkinsKafkaKubernetesMicroservicesNode.jsOraclePrometheusPythonPyTorchReactSparkSQLTerraformVault
About the role
Key responsibilities & impact- Lead and own technical execution of discovery IT initiatives and AI projects, from ideation through POC, pilot, and handover to development teams.
- Architect, design, and implement POCs to validate business value, technical feasibility, and scalability for discovery use cases.
- Guide and mentor cross-functional engineering teams (onshore and offshore), providing technical direction, code reviews, best practices, and hands-on support as needed.
- Collaborate closely with business stakeholders, product owners, and research teams to translate scientific and business requirements into technical solutions and project roadmaps.
- Serve as primary technical liaison between business, data science, infrastructure, and offshore development teams to ensure alignment and timely delivery.
- Drive adoption of modern development practices: CI/CD pipelines, infrastructure as code, secure coding standards, and observability.
- Lead technical evaluations and vendor/tool selection related to AI, data platforms, and application infrastructure.
- Provide hands-on development in Python, Node.js/React (or guide developers), and ensure high quality implementation of backend and frontend components.
- Ensure data integrity, lineage, and governance when integrating with systems such as Veeva Vault and enterprise data platforms.
- Oversee deployment and management of solutions on cloud platforms (AWS, Azure), and collaborate with cloud/infrastructure teams for scalability, security, and cost optimization.
- Track and report project status, risks, and mitigation plans to leadership; escalate when necessary.
- Promote knowledge sharing, establish technical standards, and build repeatable patterns for discovery POCs and AI initiatives.
Requirements
What you’ll need- 10+ years of professional IT experience, with progressively increasing technical and leadership responsibilities.
- Full-stack development
- Frontend technologies: Expertise in modern frontend frameworks such as React (including Hooks, state management libraries, and performance optimization) and experience with rapid prototyping/visualization frameworks like Streamlit for data-driven UIs.
- Backend: Strong experience with Node.js (Express, NestJS or similar), RESTful and GraphQL API design, authentication/authorization (OAuth2, JWT), middleware, and microservices patterns.
- Language proficiency: Advanced Python for backend services, scripting, ML integration, and automation.
- AI / Machine Learning: Practical experience building prototyping and productionizing ML/AI models (supervised, unsupervised, NLP, and generative-model POCs).
- Familiarity with ML frameworks and libraries (PyTorch, Hugging Face, GPPTeal, Claud, Gemini).
- Knowledge of model evaluation, validation, feature engineering, experiment tracking (MLflow), and model deployment patterns.
- Experience integrating AI models into applications and APIs, and working with data scientists on model lifecycle.
- Data engineering & analytics: Hands-on with Databricks/Spark for large-scale data processing.
- ETL/ELT: Experience with dbt (transformations, testing, modularity), building reliable data pipelines and mature data models.
- Databases: Strong SQL skills and experience with Oracle (query tuning, schema design, indexing), plus familiarity with modern analytical stores (Snowflake, Redshift) is a plus.
- Data governance: Knowledge of lineage, cataloging, metadata, quality checks, and compliance in regulated environments.
- Integration & domain systems: Understanding of Vault architecture, document and metadata models, Vault APIs, Vault SDKs and integration patterns for ingesting, synchronizing, and securing regulated content.
- API integrations: Robust experience in designing integrations between cloud services, SaaS systems, and on-prem systems; message queues and streaming (Kafka, SQS, Event Hubs) knowledge preferred.
- Cloud platforms: Strong practical experience with AWS and/or Azure (compute, storage, networking, IAM, managed data services).
- Infrastructure as Code: Experience with Terraform, ARM templates, or CloudFormation for reproducible environments.
- Containerization & orchestration: Docker and Kubernetes (deployment patterns, Helm charts, observability).
- Security & compliance: Identity and access control, encryption in transit/at rest, secrets management, and secure deployment practices.
- CI/CD: Design and implement pipelines (GitHub Actions, Jenkins, GitLab CI) for build, test, security scanning, and deploy across environments.
- Automated testing: Unit, integration, contract, and end-to-end tests; test frameworks for Python/Node/React.
- Observability: Logging, monitoring, alerting (ELK/Elastic Stack, Prometheus, Grafana), and tracing (OpenTelemetry).
- GitHub/Git workflows: Branching strategies, pull request policies, code review best practices, dependency management.
- Collaboration tools: Jira/Azure DevOps for backlog and sprint management, Confluence or similar for documentation.
- System architecture: Design scalable, resilient microservices and data pipelines; trade-off analysis for latency, throughput, cost, and security.
- API-first design: Contract-first development, versioning, backward compatibility.
- Event-driven architecture: Designing loosely coupled services using events/streams.
- Scalability and performance: Load testing, caching strategies, database partitioning/sharding, query optimization.
- Experience coordinating and leading offshore development teams and third-party vendors, with demonstrated success in distributed team delivery.
- Excellent stakeholder management and communication skills; ability to translate technical concepts to non-technical audiences.
- Strong problem solving, architectural design, and decision-making skills.
- Knowledge of data governance, security and compliance requirements relevant to discovery and regulated industries.
Benefits
Comp & perks- Exciting work in a great team, global projects, international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model, flexible role pattern
- Competitive salary & incentive pay
- Pension and health insurance contributions
- Internal reward system and referral scheme
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card Vodafone, Raiffeisen Bank, Foodora, and discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage, showers, refreshments, massage chairs, library, music corner
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonNode.jsReactAIMachine LearningDatabricksSQLTerraformDockerKubernetes
Soft Skills
leadershipstakeholder managementcommunicationproblem solvingarchitectural designdecision-makingmentoringcollaborationknowledge sharingproject management