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Luxoft

Luxoft

www.luxoft.com

7 Jobs

16,404 Employees

About the Company

Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.
DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft's front-end digital capabilities with DXC's expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.

Listed Jobs

Company background Company brand
Company Name
Luxoft
Job Title
Senior Data Engineer
Job Description
**Job Title:** Senior Data Engineer **Role Summary:** Architect and maintain robust, scalable data pipelines and infrastructure to support analytics, machine learning, and business intelligence initiatives. **Expactations:** 5+ years in data engineering or software development. Expertise in Python, PySpark, AWS (EMR, S3), and Snowflake required. **Key Responsibilities:** - Design, build, and optimize ETL pipelines using Python and PySpark for data ingestion, transformation, and integration. - Develop distributed workflows on AWS EMR for large-scale data processing. - Implement and tune Snowflake data warehouses for analytical workloads. - Partner with cross-functional teams to deliver reliable, well-documented datasets. - Ensure data consistency, accuracy, and governance across systems. - Automate workflows to improve efficiency and reduce manual tasks. - Monitor pipeline performance, resolve bottlenecks, and enforce CI/CD and infrastructure-as-code practices. - Apply data security, compliance, and governance standards. - Mentor junior engineers and foster knowledge-sharing. **Required Skills:** Python, PySpark, AWS services (EMR, S3, Lambda, Glue), Snowflake architecture, data modeling, SQL optimization, CI/CD tools (Jenkins, GitHub Actions), infrastructure-as-code (Terraform, CloudFormation), data governance frameworks. **Required Education & Certifications:** Bachelor’s degree in Computer Science or related field preferred (no specific certifications mandatory).
London, United kingdom
Hybrid
Senior
22-09-2025
Company background Company brand
Company Name
Luxoft
Job Title
NSX Architect (Contract - 2 days per week)
Job Description
Job Title: NSX Architect Role Summary: Design, implement, and support VMware NSX environments aligned with business and technical requirements. Lead virtual network architecture for secure, scalable solutions. Expectations: Enterprise networking expertise; NSX environment design and troubleshooting; collaboration on automation and modernization initiatives. Key Responsibilities: - Architect and deploy NSX-T environments integrated with vSphere. - Implement micro-segmentation, distributed firewalls, and routing policies. - Troubleshoot complex L2/L3 network issues and resolve incidents. - Collaborate on infrastructure automation and cloud integration projects. - Maintain design documentation and mentor engineering teams. Required Skills: - VMware NSX-T design and implementation. - L2/L3 protocols (TCP/IP, BGP, OSPF); network security concepts. - VMware vSphere/vCenter administration. - Complex network troubleshooting and performance optimization. Required Education & Certifications: None specified.
Milton keynes, United kingdom
On site
12-11-2025
Company background Company brand
Company Name
Luxoft
Job Title
Credit Risk Business Analyst - PFE
Job Description
Job title: Credit Risk Business Analyst – PFE Role Summary: Provide analysis and technical delivery for Credit Risk Enhancement initiatives focused on Potential Future Exposure (PFE). Translate business requirements into functional specifications, design and validate technology solutions, execute testing, and ensure alignment with regulatory and internal methodology standards. Expectations: - Deliver end‑to‑end technical solutions for PFE projects for Interest Rate, FX, and Loan products. - Maintain compliance with PRA/ECB and internal risk frameworks. - Collaborate cross‑functionally with risk, analytics, technology, and front‑office stakeholders. Key Responsibilities: • Lead delivery of PFE and Credit Risk Enhancement initiatives from a technology perspective. • Perform detailed technical analysis and design for credit‑risk infrastructure enhancements. • Document user requirements and validate pricing/simulation models (e.g., Markit FRA). • Map trade and market data from source systems to FraimWRX format. • Define and execute testing methodologies, including test plans and UAT guidance. • Partner with technology project management and vendors to schedule and validate updates. • Oversee handover to production teams and remediate post‑go‑live issues. • Build relationships across technology risk, risk analytics, market risk, credit risk management, and front‑office functions. Required Skills: - Strong quantitative background in counterparty credit risk and PFE modeling. - Hands‑on experience with vendor risk engines (IHS Markit FRA/FraimWRX, Murex, or equivalent). - Proficiency in SQL, .NET, Excel VBA; exposure to Python or SAS is preferred. - Familiarity with Power BI and Control‑M. - Solid business analysis capabilities and knowledge of full project lifecycle. - Experience defining test plans and leading UAT phases. - Prior exposure to PFE solutions across IR, FX, and Loan products. Required Education & Certifications: - Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or related field. - Professional certifications (e.g., CFA, FRM) considered an advantage. ---
London, United kingdom
On site
20-11-2025
Company background Company brand
Company Name
Luxoft
Job Title
Data scientist with Java expertise
Job Description
**Job Title** Data Scientist with Java Expertise **Role Summary** Design, develop, and optimize semantic and vector‑based search and recommendation solutions for a large eCommerce platform. Apply machine learning, NLP, and deep learning to improve search relevance, build scalable data pipelines and APIs, and integrate models into production systems while ensuring high performance and reliability. **Expectations** - 5+ years in Data Science/ML Engineering focused on Information Retrieval or Semantic Search - Production‑level Java and Python programming experience - Deep expertise in Lucene, Solr, or Elasticsearch (indexing, query tuning, analyzers, scoring) - Proficiency with vector databases, embeddings, and semantic search techniques - Strong NLP knowledge (tokenization, embeddings, transformers) - Experience deploying and maintaining ML/search services in production - Solid software engineering practices (CI/CD, testing, version control, code reviews) **Key Responsibilities** - Architect and implement semantic search pipelines using Lucene/Solr and modern embeddings - Develop and tune deep learning/NLP models to enhance ranking and relevance - Build and maintain scalable data ingestion, indexing, and inference APIs - Deploy and monitor ML/search systems in a cloud‑native environment - Collaborate with software and data engineers to translate business requirements into technical solutions - Continuously evaluate search performance, refine models, and report metrics **Required Skills** - Java, Python (production code) - Lucene/Solr/Elasticsearch - Vector databases, embeddings, semantic search - NLP: tokenization, transformers, embeddings - Machine Learning, deep learning, model deployment - CI/CD, automated testing, version control (Git) - Cloud fundamentals (AWS/Azure/GCP, Docker/Kubernetes preferred) **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent professional experience) - Certifications in ML, Big Data, or cloud platforms are a plus.
Canada
Remote
Mid level
24-11-2025