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Luxoft

Luxoft is a software engineering and digital transformation company that provides a comprehensive range of enterprise technology services. Their expertise spans modernizing legacy IT systems and delivering large-scale digital transformation solutions across various industries, including automotive, banking, healthcare, and telecommunications. Luxoft combines industry-specific best practices with advanced technology to empower businesses and enhance operational efficiency.

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Support client's development efforts related to their instance of Hogan Reporting &amp; Profitability Manager (RPM). Work will be on a staff augmentation basis, directed by the client day to day.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Provide Hogan RPM development capability
</p></div><div><p>may include, but not be limited to technical design, coding, unit testing, support for advanced testing and production migration. Proficiency in Hogan RPM is a must and preference for additional knowledge and experience in Hogan IDS and CIS.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have proven Hogan RPM knowledge and experience.
</p></div><div><p>Hogan Technical
</p></div><div><p>Mainframe/COBOL
</p></div><div><p>10+ yrs Hogan
</p></div><div><p>Bachelor's degree or equivalent combination of education and experience
</p></div><div><p>Experience working with software design, software development life cycle, and development methodologies and implementation
</p></div><div><p>Strong communication skills
</p></div></div><p>Nice to have
</p><div><div><p>Knowledge and experience in other Hogan applications, especially Hogan IDS and CIS.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote United Kingdom, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-120704
</p></div><div></div><div><div><p>Hogan
</p></div><div><p>BCM Industry</p>
</div><div><p>02/07/2026
</p></div><div><p>Req. VR-120704</p></div></div></div><p></p>

Senior Hogan RPM Developer

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>LUXOFT is one of the major Software Services companies world-wide. We deliver professional software services in multiple business verticals such as Finance, Automotive, and Digital Transformation. Supporting large Vehicle Manufacturers in the area of Development, Production and Aftersales is Luxoft's ambition.<br>
The Software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Bringing cars into an &quot;always online&quot; mode changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future. Great mechanical engineering is not the only criteria anymore for delivering the best cars in the world. Using state of the art software technologies are key to provide the requested user experience.<br>
<br>
About the Project:<br>
The customer is developing an edge runtime system for the new vehicle architecture. The manual test cases are already developed and an automation test framework exists. The test framework uses Azure Pipelines to execute test cases on a Test PC via Robot Framework. Python is used to develop support functions (checking preconditions on the test setup like version numbers). The Test Object / Setup is running in a Ubuntu / Linux environment.<br>
<br>
The System to be tested is an in-vehicle component connected to the Cloud. The test cases are a mix of complex and straightforward test cases and expect Linux system and networking know-how as well as basic python skills.<br>
<br>
The goal of the project is to ensure regulatory guidelines for several data collection use cases by manual testing in the vehicle and increase of number of automated test cases and extend the test setup for Hardware in the Loop and prototyping in the next phase.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>In your role as a Test Engineer for embedded systems, you will support the realization of a new diagnostic solution based on service-oriented communication for a german OEM as part of our agile scrum team.
</p></div><div><p>Your responsibilities will include:
</p></div><div><p>manual in-vehicle testing
</p></div><div><p>implementation of automatic test cases with Azure Pipelines, Robot Framework, and Python
</p></div><div><p>analysis and reporting of defects in close collaboration with the development team
</p></div><div><p>support the development team with analysis of issues
</p></div><div><p>improve the existing test framework
</p></div><div><p>work closely with the manual test team to improve test cases
</p></div><div><p>doing test drives to fulfil certain scenarios for data collection use-case &amp; performance testing
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Driver License B
</p></div><div><p>Prototype Driver License
</p></div><div><p>Expertise on vehicle-test execution
</p></div><div><p>Experience in testing activities on System Level
</p></div><div><p>Soft skills: good communication, pro-activeness etc...
</p></div><div><p>Volkswagen Group experience incl relevant tools like ODIS, IDEX, KPM,...
</p></div><div><p>Python (advanced)
</p></div><div><p>Robot Framework experience
</p></div><div><p>Linux (System / Networking)
</p></div><div><p>Advanced experience in Test Automation
</p></div><div><p>Hardware knowledge
</p></div><div><p>Integration expertise
</p></div><div><p>Expertise on HIL Testing
</p></div><div><p>Good knowledge in test processes, test techniques &amp; reporting
</p></div><div><p>Good understanding of agile test approach
</p></div></div><p>Nice to have
</p><div><div><p>ISTQB Certified Tester Foundation Level, Automotive tester, Agile tester or similar desirable
</p></div><div><p>Experience in vehicle diagnostics would be a plus (UDS, DoIP)
</p></div><div><p>Microsoft Connected Vehicle Platform know-how
</p></div><div><p>Bachelor of Science in Mechanical, Electrical, Computer Engineering or equivalent experience
</p></div><div><p>5+ years of experience in automotive / embedded domain
</p></div><div><p>Experience in designing, developing and maintaining of automated testing framework, harness and tool set
</p></div><div><p>Expertise in test automation tools for embedded systems
</p></div><div><p>Knowledge of vehicle bus-systems and protocols (Ethernet, CAN)
</p></div><div><p>Advanced experience in creating automated tests, execute them and collect results.
</p></div><div><p>Diagnostic knowledge in VW Context (UDS, VW-Norms)
</p></div><div><p>Knowledge in SOME/IP, ViWi, TCP/IP, MQTT, RESTful services would be a plus
</p></div><div><p>Experience in agile development (SCRUM and/or SAFe) would be a plus
</p></div><div><p>Experience with Google Test-Framework would be a plus
</p></div><div><p>Knowledge on AUTOSAR Classic or AUTOSAR Adaptive would be a plus
</p></div><div><p>Understanding of Service oriented architecture would be a plus
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Wolfsburg, Germany
</p></div><p>Req. VR-123530
</p></div><div></div><div><div><p>Manual Testing
</p></div><div><p>Automotive Industry</p>
</div><div><p>02/07/2026
</p></div><div><p>Req. VR-123530</p></div></div></div><p></p>

In-Vehicle Tester

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>LUXOFT is one of the major Software Services companies world-wide. We deliver professional software services in multiple business verticals such as Finance, Automotive, and Digital Transformation. Supporting large Vehicle Manufacturers in the area of Development, Production and Aftersales is Luxoft's ambition.<br>
The Software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Bringing cars into an &quot;always online&quot; mode changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future. Great mechanical engineering is not the only criteria anymore for delivering the best cars in the world. Using state of the art software technologies are key to provide the requested user experience.<br>
<br>
About the Project:<br>
The customer is developing an edge runtime system for the new vehicle architecture. The manual test cases are already developed and an automation test framework exists. The test framework uses Azure Pipelines to execute test cases on a Test PC via Robot Framework. Python is used to develop support functions (checking preconditions on the test setup like version numbers). The Test Object / Setup is running in a Ubuntu / Linux environment.<br>
<br>
The System to be tested is an in-vehicle component connected to the Cloud. The test cases are a mix of complex and straightforward test cases and expect Linux system and networking know-how as well as basic python skills.<br>
<br>
The goal of the project is to ensure regulatory guidelines for several data collection use cases by manual testing in the vehicle and increase of number of automated test cases and extend the test setup for Hardware in the Loop and prototyping in the next phase.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>In your role as a Test Engineer for embedded systems, you will support the realization of a new diagnostic solution based on service-oriented communication for a german OEM as part of our agile scrum team.
</p></div><div><p>Your responsibilities will include:
</p></div><div><p>manual in-vehicle testing
</p></div><div><p>implementation of automatic test cases with Azure Pipelines, Robot Framework, and Python
</p></div><div><p>analysis and reporting of defects in close collaboration with the development team
</p></div><div><p>support the development team with analysis of issues
</p></div><div><p>improve the existing test framework
</p></div><div><p>work closely with the manual test team to improve test cases
</p></div><div><p>doing test drives to fulfil certain scenarios for data collection use-case &amp; performance testing
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Driver License B
</p></div><div><p>Prototype Driver License
</p></div><div><p>Expertise on vehicle-test execution
</p></div><div><p>Experience in testing activities on System Level
</p></div><div><p>Soft skills: good communication, pro-activeness etc...
</p></div><div><p>Volkswagen Group experience incl relevant tools like ODIS, IDEX, KPM,...
</p></div><div><p>Python (advanced)
</p></div><div><p>Robot Framework experience
</p></div><div><p>Linux (System / Networking)
</p></div><div><p>Advanced experience in Test Automation
</p></div><div><p>Hardware knowledge
</p></div><div><p>Integration expertise
</p></div><div><p>Expertise on HIL Testing
</p></div><div><p>Good knowledge in test processes, test techniques &amp; reporting
</p></div><div><p>Good understanding of agile test approach
</p></div></div><p>Nice to have
</p><div><div><p>ISTQB Certified Tester Foundation Level, Automotive tester, Agile tester or similar desirable
</p></div><div><p>Experience in vehicle diagnostics would be a plus (UDS, DoIP)
</p></div><div><p>Microsoft Connected Vehicle Platform know-how
</p></div><div><p>Bachelor of Science in Mechanical, Electrical, Computer Engineering or equivalent experience
</p></div><div><p>5+ years of experience in automotive / embedded domain
</p></div><div><p>Experience in designing, developing and maintaining of automated testing framework, harness and tool set
</p></div><div><p>Expertise in test automation tools for embedded systems
</p></div><div><p>Knowledge of vehicle bus-systems and protocols (Ethernet, CAN)
</p></div><div><p>Advanced experience in creating automated tests, execute them and collect results.
</p></div><div><p>Diagnostic knowledge in VW Context (UDS, VW-Norms)
</p></div><div><p>Knowledge in SOME/IP, ViWi, TCP/IP, MQTT, RESTful services would be a plus
</p></div><div><p>Experience in agile development (SCRUM and/or SAFe) would be a plus
</p></div><div><p>Experience with Google Test-Framework would be a plus
</p></div><div><p>Knowledge on AUTOSAR Classic or AUTOSAR Adaptive would be a plus
</p></div><div><p>Understanding of Service oriented architecture would be a plus
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Ingolstadt, Germany
</p></div><p>Req. VR-123530
</p></div><div></div><div><div><p>Manual Testing
</p></div><div><p>Automotive Industry</p>
</div><div><p>02/07/2026
</p></div><div><p>Req. VR-123530</p></div></div></div><p></p>

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.
</p></div><div><p>Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.
</p></div><div><p>Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.
</p></div><div><p>Validation Rules &amp; Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.
</p></div><div><p>Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.
</p></div><div><p>Collaboration &amp; Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.
</p></div><div><p>Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).
</p></div><div><p>Standards &amp; Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).
</p></div><div><p>Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards
</p></div><div><p>specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.
</p></div><div><p>Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.
</p></div><div><p>Data Modelling &amp; Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.
</p></div><div><p>Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)
</p></div></div><p>Nice to have
</p><div><div><p>Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data
</p></div><div><p>AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.
</p></div><div><p>Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.
</p></div><div><p>Tools &amp; Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>London, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-119923
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>03/07/2026
</p></div><div><p>Req. VR-119923</p></div></div></div><p></p>

Semantic AI/ML Architect

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a Senior .NET &amp; Python Developer with strong expertise in Graph Databases and hands-on experience integrating custom Agentic AI solutions into enterprise-grade applications.<br>
The ideal candidate is a seasoned engineer who thrives in complex systems, understands graph-based data modeling, and has a strong interest in applying agentic AI patterns to real-world business workflows.<br>
You will play a key role in designing, developing, and evolving scalable backend systems while collaborating closely with architecture, data, and AI-focused teams.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, develop, and maintain enterprise-grade applications using .NET and Python
</p></div><div><p>Architect and implement graph-based data models and queries to support complex domain relationships
</p></div><div><p>Collaborate with ML and Semantic engineers on designing and training dedicated AI Agents for specific business processes.
</p></div><div><p>Integrate custom Agentic AI solutions (e.g., autonomous agents, multi-agent systems, tool-using agents) into existing enterprise platforms
</p></div><div><p>Collaborate with stakeholders to translate business requirements into robust technical solutions
</p></div><div><p>Optimize application performance, scalability, and reliability in production environments
</p></div><div><p>Participate in technical design discussions, code reviews, and architecture decisions
</p></div><div><p>Contribute to continuous improvement of development workflows and SDLC processes
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Candidates must meet all of the following:
</p></div><div><p>Strong, in-depth .NET expertise, including:
</p></div><div><p>C#, ASP.NET Core
</p></div><div><p>Microservices, and cloud-native engineering patterns.
</p></div><div><p>Professional Python experience, particularly for backend services, scripting, or AI-related integrations
</p></div><div><p>Hands-on experience with Graph Databases, such as:
</p></div><div><p>Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar
</p></div><div><p>Graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL)
</p></div><div><p>Proven experience integrating custom Agentic AI solutions into enterprise applications, including:
</p></div><div><p>Autonomous or semi-autonomous agents
</p></div><div><p>Tool-using or workflow-oriented AI agents
</p></div><div><p>Production integration, not just experimentation or prototypes
</p></div><div><p>Solid understanding of enterprise application architecture, RESTful APIs, and system integration patterns
</p></div><div><p>Experience working with relational databases and modern persistence layers
</p></div><div><p>Strong problem-solving skills and ability to work with complex domains
</p></div></div><p>Nice to have
</p><div><div><p>The following are not required, but will be considered a strong advantage:
</p></div><div><p>Experience with agentic SDLC tools and processes, such as:
</p></div><div><p>AI-assisted development workflows
</p></div><div><p>Agent-driven testing, code generation, or requirement analysis
</p></div><div><p>Familiarity with microservices architectures and distributed systems
</p></div><div><p>Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Hyderabad, IN, India
</p></div><p>Req. VR-122869
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>30/06/2026
</p></div><div><p>Req. VR-122869</p></div></div></div><p></p>

Senior .Net + Python Developer

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a Senior .NET &amp; Python Developer with strong expertise in Graph Databases and hands-on experience integrating custom Agentic AI solutions into enterprise-grade applications.<br>
The ideal candidate is a seasoned engineer who thrives in complex systems, understands graph-based data modeling, and has a strong interest in applying agentic AI patterns to real-world business workflows.<br>
You will play a key role in designing, developing, and evolving scalable backend systems while collaborating closely with architecture, data, and AI-focused teams.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, develop, and maintain enterprise-grade applications using .NET and Python
</p></div><div><p>Architect and implement graph-based data models and queries to support complex domain relationships
</p></div><div><p>Collaborate with ML and Semantic engineers on designing and training dedicated AI Agents for specific business processes.
</p></div><div><p>Integrate custom Agentic AI solutions (e.g., autonomous agents, multi-agent systems, tool-using agents) into existing enterprise platforms
</p></div><div><p>Collaborate with stakeholders to translate business requirements into robust technical solutions
</p></div><div><p>Optimize application performance, scalability, and reliability in production environments
</p></div><div><p>Participate in technical design discussions, code reviews, and architecture decisions
</p></div><div><p>Contribute to continuous improvement of development workflows and SDLC processes
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Candidates must meet all of the following:
</p></div><div><p>Strong, in-depth .NET expertise, including:
</p></div><div><p>C#, ASP.NET Core
</p></div><div><p>Microservices, and cloud-native engineering patterns.
</p></div><div><p>Professional Python experience, particularly for backend services, scripting, or AI-related integrations
</p></div><div><p>Hands-on experience with Graph Databases, such as:
</p></div><div><p>Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar
</p></div><div><p>Graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL)
</p></div><div><p>Proven experience integrating custom Agentic AI solutions into enterprise applications, including:
</p></div><div><p>Autonomous or semi-autonomous agents
</p></div><div><p>Tool-using or workflow-oriented AI agents
</p></div><div><p>Production integration, not just experimentation or prototypes
</p></div><div><p>Solid understanding of enterprise application architecture, RESTful APIs, and system integration patterns
</p></div><div><p>Experience working with relational databases and modern persistence layers
</p></div><div><p>Strong problem-solving skills and ability to work with complex domains
</p></div></div><p>Nice to have
</p><div><div><p>The following are not required, but will be considered a strong advantage:
</p></div><div><p>Experience with agentic SDLC tools and processes, such as:
</p></div><div><p>AI-assisted development workflows
</p></div><div><p>Agent-driven testing, code generation, or requirement analysis
</p></div><div><p>Familiarity with microservices architectures and distributed systems
</p></div><div><p>Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Noida, India
</p></div><p>Req. VR-122869
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>30/06/2026
</p></div><div><p>Req. VR-122869</p></div></div></div><p></p>

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