N-iX

We are seeking a proactive Middle Big Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and reporting-ready data assets within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges.

You will collaborate with a cross-functional team and stakeholders to translate business requirements into scalable data solutions, enabling reporting, improving data quality, and driving data transformation initiatives.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. They develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Their projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

Key Responsibilities:

• Collaborate with cross-functional teams to gather business requirements and design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimized workflows
• Design and maintain data ingestion, transformation, and orchestration pipelines using Palantir Foundry, Python, and PySpark
• Develop reporting-ready datasets and data models to support downstream analytics and Power BI reporting
• Develop, optimize, and maintain efficient ETL/ELT processes to collect, process, and integrate data from multiple sources, ensuring timely and accurate data delivery
• Implement data quality validation, monitoring, and health checks to ensure reliability and consistency of data assets
• Monitor pipeline performance, identify bottlenecks, troubleshoot production issues, and continuously improve scalability and processing efficiency
• Plan and prioritize work independently, communicate progress transparently, and proactively manage changing priorities while proposing practical solutions when requirements evolve
• Maintain clear technical documentation and promote automation and continuous improvement across data engineering processes
• Stay current with emerging technologies and industry best practices, incorporating innovative approaches into data engineering solutions

Required Qualifications:

• 3+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
• Strong proficiency in Python and PySpark
• Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
• Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
• Expertise in data modeling, data warehousing, and ETL/ELT concepts
• Hands-on experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
• Proficiency in containerization technologies (e.g., Docker, Kubernetes)
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities

Nice to have:

• Experience with market research data
• Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry
• Background in pharma or healthcare
• Experience with automation / pipeline optimization

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is looking for a Senior Big Data engineer to join our team.

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role

We are seeking a proactive Senior Big Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and reporting-ready data assets within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges.

You will collaborate with a cross-functional team and stakeholders to translate business requirements into scalable data solutions, enabling reporting, improving data quality, and driving data transformation initiatives.

Key Responsibilities

• Collaborate with cross-functional teams to gather business requirements and design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimized workflows.
• Design and maintain data ingestion, transformation, and orchestration pipelines using Palantir Foundry, Python, and PySpark.
• Develop reporting-ready datasets and data models to support downstream analytics and Power BI reporting.
• Develop, optimize, and maintain efficient ETL/ELT processes to collect, process, and integrate data from multiple sources, ensuring timely and accurate data delivery.
• Implement data quality validation, monitoring, and health checks to ensure reliability and consistency of data assets.
• Monitor pipeline performance, identify bottlenecks, troubleshoot production issues, and continuously improve scalability and processing efficiency.
• Plan and prioritize work independently, communicate progress transparently, and proactively manage changing priorities while proposing practical solutions when requirements evolve.
• Maintain clear technical documentation and promote automation and continuous improvement across data engineering processes.
• Stay current with emerging technologies and industry best practices, incorporating innovative approaches into data engineering solutions.

Required Qualifications

• 5+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry.
• Strong proficiency in Python and PySpark.
• Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.).
• Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
• Expertise in data modeling, data warehousing, and ETL/ELT concepts.
• Hands-on experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.).
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities;

Nice to have

• Experience with market research data
• Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry
• Background in pharma or healthcare
• Experience with automation / pipeline optimization

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness

• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

   

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development
• Experience integrating AI tooling into your development environment for streamlined usage
• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with C# or Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL; NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontent
• At least Upper-intermediate English level
• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

Product details: A comprehensive Engineering Document Management System (EDMS) designed to streamline the management of engineering documents and data throughout their lifecycle. It serves as a centralized repository, ensuring that all stakeholders have access to accurate, up-to-date information, thereby enhancing collaboration and operational efficiency.

Technologies:

• Languages: C#; C++; SignalR, JS/TS; ExtJS 3, Angular, XML/XSLT, JS/HTML,
  Windows applications programming knowledge
• Frameworks: COM/DCOM, .NET Framework and Core, ASP.NET, WCF, XML
  Web Services (SOAP), REST
• Win32 API, Windows Desktop applications - MFC/ATL, Windows Forms, ISAPI
  extensions
• Elastic Search, Publisher, Hyperion, SiteCache (all .NET servers and clients)
• Databases: SQL Server, Oracle, SQL Lite, MS Access,  T-SQL and PSQL
  (Oracle)
• Infrastructure: Teamcity, build pipelines and MAT-pipelines - PowerShell, Azure
  infrastructure, Nuget (work with package managers, also NPM)
• InstallShield, WiX and/or modern setup technologies (web install)
• Windows Applications registration and installation, Windows server management
  (services, sc command line)
• Windows security, Active directory and tools, Windows Networking (NetBios,
  WINS), TCP/IP networking (DNS)
• GitHub and GitHub actions

QA: in-house framework called MAT (Meridian Automated Testing), it is using .NET
Framework.

Requirements:

• 5+ years of experience in development of windows and web applications
• Strong proficiency in C++, C# and experience in listed technologies
• Experience with JavaScript
• 1+ year experience with AI tooling in software engineering space, ideally with GitHub Copilot
• Experience working with proprietary databases
• Experience with integration third party libraries and APIs
• Strong understanding of version control, security best practices, and Agile
  methodologies

• Excellent communication and teamwork skills

   

Nice to have: Some experience working with AutoCAD and verticals, Microstation, Inventor and Revit, Office object model

Responsibilities:

• Support of existing applications (bug fixes, updates/upgrades, technical improvements)
• Writing clean, maintainable, and efficient code while adhering to coding standards and
  best practices
• Active participation in code reviews, sprint planning, and design discussions
• Troubleshooting complex customer issues

Product details:

A comprehensive Engineering Document Management System (EDMS) designed to streamline the management of engineering documents and data throughout their lifecycle. It serves as a centralized repository, ensuring that all stakeholders have access to accurate, up-to-date information, thereby enhancing collaboration and operational efficiency.

Job Summary:

The Product Owner is responsible for guiding the development and delivery of product features across the entire product lifecycle. They act as a bridge between the business stakeholders and the development team, ensuring that the product meets customer needs and delivers value. The Product Owner is a crucial role in Agile development methodologies such as Scrum and Safe. 

Key Responsibilities:

• Translation: Work with the lead Product Manager and/or senior leader to translate future vision and requirements into clearly broken down epics and stories.  Ensure that all team members understand and align with the product's goals.
• Prioritization: Create and maintain the product backlog, a prioritized list of features, user stories, and tasks. Prioritize items based on business value, customer needs, and market trends.
• User Story Development: Break down high-level product requirements into detailed user stories that can be understood and implemented by the development team. Ensure these stories are ready for implementation and meet strong agile/SAFE standards.
• Backlog Management: Continuously groom and refine the product backlog with the team, making adjustments based on feedback, changing priorities, and new insights.
• Stakeholder Communication: Act as the primary point of contact between the development team and stakeholders. Communicate progress, changes, and updates regularly to both groups.
• Acceptance Criteria: Define acceptance criteria for user stories to ensure that the development team understands what constitutes a complete and well-implemented feature.
• Sprint Planning: Participate in sprint planning meetings to select user stories and tasks for the upcoming sprint. Work with the team to ensure they have a clear understanding of the work to be done.
• Release Planning: Collaborate with the team and stakeholders to plan and prioritize releases, considering market needs and business goals.
• Quality Assurance: Ensure the product meets quality standards by accepting or rejecting the work done by the development team during sprint reviews.
• Feedback Integration: Gather feedback from stakeholders and end-users, incorporate it into the product backlog, and make adjustments as necessary.
• Escalation Management: Work with the customer success and support teams to understand and prioritize outstanding bugs and issues in upcoming sprints. 
• Risk Management: Identify and mitigate risks that could impact product development or delivery.  This includes working closely with your release manager to ensure timelines are met, tough conversations are had, mitigation strategies are put into place, and transparency is taken to leadership for assistance when needed. 
• UI/UX alignment:  work with your UX counterpart to ensure new features in the backlog have wireframes and UI designs ready to go as a critical step in sprint planning.  This includes providing feedback on the designs and working with the UI team on design sprints as well as user acceptance testing. 

Required:

• Bachelor's degree in a relevant field (e.g., business, computer science) or equivalent work experience.
• 6+ years of experience working in an Agile/Scrum environment.
• 4+ years of experience in Product Management or as a Product Owner.
• Experience with JIRA or other similar tools.
• Strong communication and collaboration skills.
• Analytical and problem-solving abilities.
• Strong organizational and time management skills.
• Presentation skills.

Preferred:

• Understanding of the industries that company operates in (manufacturing, utilities, oil & gas, chemicals, mining, pharmaceuticals, retail, etc.)
• Experience working on enterprise B2B products.
• Experience of document management applications would be a benefit.
• Understanding of CAD design practices.
• Professional Certifications (optional):
  • Certified Scrum Product Owner (CSPO)
  • Certified ScrumMaster (CSM)
  • Agile Certified Practitioner (PMI-ACP)

Our client is a global enterprise software company building an AI-powered, RAG-based documentation platform delivered as production-grade SaaS. The platform is a set of ~10 containerized microservices — predominantly Python, with React front-ends — running fully on Microsoft Azure (App Services, Functions, Data Factory, AI Search, Blob Storage, Key Vault).

The team is hardening the platform for production: consolidating multiple repositories into a single monorepo, standardizing CI/CD, introducing observability and a proper test-automation framework and preparing for multi-region rollout (US, Europe, Asia). The team is heavily AI-assisted, currently producing 15–20 merge requests per week, which makes strong automation and test coverage essential.

You will join as a hands-on engineer embedded in the client's team, attending stand-ups and sprint ceremonies.

Responsibilities:

• Design, build, and maintain per-service CI/CD pipelines (GitLab CI today, with a migration to GitHub Enterprise / GitHub Actions in progress)
• Support consolidation of multiple repositories into a single monorepo — build orchestration, selective CI triggers, automated builds and testing
• Instrument services with Azure Application Insights: dashboards, alerting, synthetic monitoring, and log management
• Harden environment promotion (dev → pre-prod → prod), deployments, and secrets management
• Deploy and operate services on pre-provisioned Azure resources (provisioning itself is handled by a separate platform team)
• Contribute to a reusable automated test framework (unit / integration / E2E) that keeps code-review velocity sustainable under high merge-request throughput
• Support security hardening, dependency and vulnerability scanning, and overall production readiness

Requirements:

• Strong hands-on Azure experience: App Services, Functions, Key Vault, Storage (Data Factory and AI Search a plus)
• CI/CD pipeline design and implementation — GitLab CI required; GitHub Actions a strong plus
• Solid Python (the platform is ~98% Python)
• Docker and container best practices
• Working knowledge of Infrastructure-as-Code principles (Terraform or Bicep) — enough to deploy reliably onto pre-provisioned infrastructure
• Azure observability with Application Insights (APM, dashboards, synthetic tests, log management)
• Solid English, comfortable collaborating across distributed teams and time zones

Nice to have:

• Azure RBAC, Managed Identities, and secrets-management patterns
• Monorepo tooling and patterns (build orchestration, selective CI triggers)
• Test-automation strategy and framework design (unit → integration → E2E)
• Security hardening and compliance practices (vulnerability scanning, dependency auditing / SCA)
• Experience in enterprise environments (proxies, SSO, compliance constraints)
• Azure Data Factory pipeline development
• RAG / AI Search indexing pipelines
• Playwright (for synthetic monitoring)
• Multi-region / global deployment patterns
• Experience working alongside heavy AI-assisted development workflows

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
 

About the Role

We are seeking an experienced Business Analyst / Business Systems Analyst to support reporting and analytics initiatives within a global pharmaceutical organization.

The successful candidate will act as a bridge between business stakeholders and technical teams, helping transform business challenges into actionable reporting and analytics solutions. The role requires strong analytical thinking, experience gathering and documenting requirements, and a solid understanding of modern reporting platforms and data-driven decision-making.

The specialist will work closely with business users, Power BI developers, and data engineers to define requirements, design reporting solutions, validate concepts, and ensure delivered solutions address real business needs.
 

Key Responsibilities

• Collaborate closely with cross-functional teams, including business stakeholders, Power BI developers, and data engineers, to understand business objectives and identify opportunities for reporting, analytics, and process improvement.
• Conduct thorough requirements analysis for reporting and analytics initiatives, including gathering, documenting, and validating business and functional requirements to support solution design and development.
• Create and maintain comprehensive documentation, including user stories, functional specifications, business requirements, process flows, reporting requirements, and acceptance criteria.
• Define and document KPIs, metrics, business rules, data requirements, and reporting logic to ensure solutions effectively address business needs.
• Collaborate with Power BI and Foundry engineering teams to design and deliver reporting and analytics solutions that align with business objectives.
• Support solution validation and user acceptance testing (UAT), ensuring delivered reports, dashboards, and analytical solutions meet business requirements and provide meaningful insights to end users.
• Contribute to the continuous improvement of reporting, analytics, and decision-support capabilities across the organization.

Required Qualifications

• 4+ years of experience as a Business Analyst or Business Systems Analyst
• Experience working on reporting, analytics, BI, or data-focused projects
• Good understanding of Power BI capabilities and experience defining requirements for Power BI reporting and dashboard solutions.
• Strong requirements gathering and documentation skills
• Experience creating user stories, process flows, functional specifications, and acceptance criteria
• Strong analytical and problem-solving skills
• Ability to communicate effectively with both business and technical stakeholders
• Experience working in international and cross-functional environments

Nice to have

• Experience working with enterprise data platforms such as Palantir Foundry.
• Hands-on experience with Power BI report development, dashboard creation, or self-service analytics.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Client Overview:
Our Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.
The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. 

Requirements:

• 5+ years as a Product Owner in a software development environment
• Strong requirements elicitation, analysis, and documentation across business, functional, and non-functional needs
• Hands-on experience writing clear user stories with acceptance criteria and managing/prioritizing a product backlog
• Experience working in Agile / Scrum / Kanban teams
• Proficiency with Jira (required) and Confluence (or comparable Agile and documentation tooling)
• Familiarity with SaaS business models and cloud-based architectures, with a working understanding of AWS/Azure
• Understanding of REST APIs, integrations, and data flows
• Process mapping and modeling skills (BPMN, flow diagrams)
• Strong stakeholder management, facilitation, and workshop leadership
• Solid understanding of the software development lifecycle (SDLC)
• Strong analytical and problem-solving skills
• Ability to work in a distributed, multi-timezone team (EU, UK)
• Excellent English communication skills, comfortable with both technical and non-technical audiences

Nice to Have:

• Experience with AI-assisted development and analysis tools (Copilot, Claude, Cursor)
• Background in enterprise / B2B SaaS, multi-tenant platforms, or large-scale portals
• Experience supporting a platform consolidation, migration, or feature-parity initiative
• Certification such as CBAP, PMI-PBA, or Agile/Scrum (CSM, SAFe) / Product Owner (CSPO)
• Experience with SQL or data querying tools
• Exposure to compliance or regulatory-driven environments (data privacy, security standards)

Responsibilities:

• Own, refine, and prioritize the product backlog for the portal feature-parity workstream
• Translate product vision and business objectives into clear, actionable user stories with acceptance criteria in Jira
• Elicit, analyze, and document business, functional, and non-functional requirements
• Facilitate requirements workshops, stakeholder interviews, and discovery sessions
• Lead and support sprint planning, backlog grooming, and release planning
• Ensure requirements traceability from business objective through to delivery
• Collaborate with engineering, UX, DevOps, and QA to clarify requirements and resolve ambiguities
• Document workflows, process diagrams, system interactions, and data flows
• Define KPIs and success metrics for new features and releases
• Support UAT planning and validation to confirm delivered functionality meets business intent
• Identify risks, dependencies, and impacts of proposed changes
• Engage with Client product and engineering counterparts in EU/UK on scope, integration points, and delivery milestones
• Participate in Agile ceremonies (stand-ups, planning, retros, demos)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We're looking for a hands-on Senior Data Engineer who can independently design and deliver end-to-end data solutions. You'll work directly with business stakeholders to understand requirements and transform them into scalable data platforms, analytics solutions, and AI-enabled applications. The ideal candidate is comfortable owning initiatives from discovery through implementation while collaborating closely with the engineering team.

This role requires deep expertise in Snowflake and modern cloud data platforms, along with strong SQL, Python, and data modeling skills.

Working hours: Europe and Ukraine (with the ability to work till around 2:00-3:00 PM CST/ 09:00-10:00 PM CET/ 10:00-11:00 PM EET).

Key Responsibilities:

• Design, build, and maintain scalable end-to-end data pipelines from ingestion through transformation and reporting.
• Develop robust data warehouse solutions using modern data modeling techniques (Kimball, Data Vault, or normalized models).
• Build and optimize Snowflake-native solutions using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
• Design high-performance SQL queries and optimize warehouse performance, clustering, and search optimization.
• Develop Python-based data processing and API ingestion workflows.
• Build and maintain data movement and orchestration pipelines using Azure Data Factory and Azure cloud services.
• Design and optimize Power BI semantic models, reports, and dashboards for business stakeholders.
• Collaborate directly with business users to gather requirements, define technical solutions, and deliver business value.
• Implement CI/CD practices, governance, RBAC, and data security within Snowflake environments.
• Contribute to AI-enabled data solutions using modern AI platforms and machine learning workflows.
• Mentor other engineers through code reviews, technical guidance, and engineering best practices.

Requirements:

• 5+ years of hands-on experience as a Data Engineer building and delivering end-to-end data solutions.
• 3+ years of hands-on experience with Snowflake, including building production-grade data pipelines using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
• Expert-level SQL skills with extensive experience optimizing complex queries and designing high-performance data warehouses.
• Strong experience designing and implementing enterprise data models using dimensional modeling (Kimball), Data Vault, or normalized approaches.
• Advanced Python programming skills for data processing, API integrations, workflow automation, and ETL/ELT development.
• Experience building and maintaining cloud-based data platforms on Microsoft Azure, including Azure Data Factory, Azure Functions, and Azure Data Lake Storage (ADLS Gen2).
• Strong experience developing business intelligence solutions using Power BI, including data modeling, DAX, and report performance optimization.
• Experience implementing CI/CD pipelines, version control, RBAC, and data governance practices for modern data platforms.
• Experience building AI-enabled data solutions using technologies such as Snowflake Cortex, Azure AI Foundry, Azure Copilot Studio and Python-based machine learning frameworks.
• Experience working directly with business stakeholders to understand requirements, translate them into technical solutions, and independently deliver projects from concept through implementation.
• Excellent communication skills and the ability to collaborate effectively across cross-functional teams.
• English Upper Intermediate+

Nice to Have

• Snowflake certification.
• Microsoft Azure certification.

N-iX is looking for Senior-Lead DevSecOps Engineer (Azure, Terraform, Sentinel)

Over 1.5 million customers and more than a billion people in over 180 countries use Customer solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Client unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using our product companies can create, commit, and manage agreements.

We are seeking a skilled and motivated engineer to join our Threat Detection Engineering team for an Infrastructure-as-Code migration initiative. Reporting to the Manager of Threat Detection Engineering, you will be responsible for the migration of Microsoft Sentinel and associated Azure resources that power our threat detection capabilities to Infrastructure-as-Code (Terraform). This role requires a strong software engineering, DevOps, and cloud engineering foundation and a focus on system reliability.

Team Overview:

Security Operations, comprising Threat Intel, Detection Engineering, and CSIRT, identifies and mitigates threats through detection building, alert analysis, and forensic investigations. We are proactive, engineering-oriented, intent-driven problem-solvers dedicated to securing the business. We prioritize trust, safeguarding customer data, and platform integrity. Our dynamic and global team innovates at speed with cutting-edge tech, fostering continuous improvement and proactive defense against evolving threats. 

Detection Engineering forms the backbone of our data platform and detection operations, designing and engineering the pipeline and developing code and detections to provide for its efficacy. This pipeline powers our software engineering-based monitoring service, enabling the identification of relevant threats and delivering actionable alerts to the CSIRT for effective response.

Responsibility:

• Transition the configuration of existing Microsoft Sentinel and Azure resources (used to collect, process, and ingest security telemetry) to Infrastructure-as-Code (Terraform).
• Build, automate, and manage Azure resource configuration leveraging GitHub and Azure DevOps (ADO) pipelines.
• Demonstrate software engineering principles throughout the migration lifecycle, including using version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines to eliminate breaking changes and false negatives.
• Partner effectively with the Threat Detection Engineering team to establish repeatable, scalable documentation around automated infrastructure deployment.
• Clearly and concisely communicate technical security concepts, infrastructure findings, and migration status updates to both technical and non-technical stakeholders.

Requirements

Basic:

• 6+ years of progressive experience in Software Engineering, DevOps, Cloud Engineering, or Cybersecurity, with at least 2+ years explicitly focused on Infrastructure-as-Code automation (Terraform) and provisioning cloud platform environments.
• Direct, hands-on proficiency building, managing, and maintaining secure continuous integration and continuous deployment (CI/CD) pipelines within both GitHub and Azure DevOps (ADO).
• Deep technical expertise in provisioning and managing cloud infrastructure using Terraform, including state file management, modular development, and executing zero-downtime refactoring.
• Direct experience configuring and optimizing Microsoft Sentinel SIEM environments, with a specific focus on deploying the associated Azure resources used for security log collection and ingestion via code.
• Highly proficient in programming languages like Python or Go, alongside scripting tools (e.g., PowerShell, Bash), specifically tailored for system automation, cloud platform interactions, and custom API integrations.
• Demonstrated ability to author clean, comprehensive engineering documentation, including architectural mappings of cloud deployments and exhaustive inventory tracking of resources maintained under Terraform management.

Preferred:

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field ; advanced security or cloud engineering certifications (e.g., Microsoft Certified: DevOps Engineer Expert, Azure Security Engineer Associate, or HashiCorp Certified: Terraform Associate are a distinct advantage.
• Experience managing large-scale infrastructure deployments across complex, multi-tenant cloud environments.
• Strong foundational background in security-focused software engineering, DevSecOps, or automation-heavy system architecture.
• Proven history of collaborating effectively across engineering, infrastructure, and security operations teams to drive architectural excellence.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for an experienced Lead/Senior .NET Engineer to join a long-term modernization initiative focused on transforming a large-scale enterprise platform from .NET Framework 4.8 to .NET 10. This is a hands-on engineering role where you'll work on modernizing backend architecture, migrating legacy components, improving code quality, and preparing the platform for cloud-native deployment on AWS. You'll collaborate with experienced engineers in an Agile environment while helping shape the future architecture of a mission-critical system.

Responsibilities: 

• Drive the migration of a large enterprise application from .NET Framework 4.8 to .NET 10.
• Modernize backend services and replace legacy Windows-specific dependencies with cross-platform solutions.
• Migrate a large Entity Framework 6 data model to EF Core 8, one bounded context at a time.
• Refactor legacy code following modern architecture principles and best engineering practices.
• Improve automated testing by introducing unit test coverage and quality gates.
• Collaborate with DevOps engineers on containerization, Docker configuration, and AWS deployment.
• Participate in architecture discussions, code reviews, technical planning, and Agile ceremonies.

Requirements:

• 5+ years of commercial experience with C#/.NET backend development.
• Strong expertise with ASP.NET, ASP.NET Core, and modern .NET.
• Proven commercial experience migrating applications from .NET Framework to .NET Core / .NET 8+.
• Strong experience with Entity Framework Core.
• Good understanding of DDD, CQRS, and layered architecture.
• Experience building containerized applications using Docker.
• Solid knowledge of xUnit, Moq, and automated testing practices.
• Experience deploying .NET applications to AWS ECS/Fargate and working with ECR.
• Experience with RabbitMQ, MassTransit, or similar messaging technologies.
• Experience with Hangfire or other background job processing frameworks.
• Strong Git workflow and experience working in Agile teams.

Nice to have:

• Experience designing and maintaining CI/CD pipelines.
• Familiarity with Angular applications or micro-frontend architecture.
• Experience implementing automated code coverage in CI.
• Knowledge of performance optimization and scalable distributed systems.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with C# 
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

About the Project:

N-iX is assembling a dedicated delivery team for an intensive, high-visibility engagement with a US-based payments-technology business that is being carved out of its parent company into a standalone entity. The platform processes card payments end to end for thousands of institutional customers through five production .NET applications — including a central payment gateway, a registration platform with an in-house encrypted card vault, an AWS-native ticketing / point-of-sale product, and a large commerce application with a single-tenant, per-customer database model.

Within a hard 90-day window the team delivers: an independent security assessment (penetration testing with code-assisted and cloud review), remediation of critical and high-severity findings verified by retest, end-of-life framework and dependency upgrades, and discovery / sequencing support for the transfer of the Azure and AWS estate to the new owner. The work is fast-paced, brownfield and security-centric, with direct exposure to the client's CTO-level stakeholders and a realistic Phase 2 (re-architecture and platform integration) for continuation.

Role Overview:

We are looking for a Senior Database Engineer (50% allocation) to own the database layer of the security remediation. The flagship legacy application runs a single-tenant model with roughly 2,000 production SQL Server databases (one per customer), and the registration platform stores encrypted cardholder data in a card vault whose business logic lives in T-SQL stored procedures. Nothing here can be done by hand at estate scale: the role is about programmatic scanning, schema-change automation and repeatable, evidence-producing runbooks that the client's retained team can execute estate-wide.

Key Responsibilities:

• Design and run programmatic security scanning across the single-tenant SQL Server estate (~2,000 databases): configuration, permissions, encryption posture, sensitive-data exposure.
• Build schema-change automation with rollout and rollback tooling — templated migrations executed estate-wide by the retained team from your runbooks; no per-database manual work.
• Review and remediate T-SQL stored procedures and triggers flagged by the security assessment, including the encrypted card vault (deep review is AI-assisted and paired with the security team).
• Support encrypted card-vault data handling and migration scenarios: key-rotation impact, re-encryption, integrity verification.
• Harden the MySQL 8 / AWS Aurora databases of the AWS-native ticketing product.
• Produce retest evidence: before / after states, scripts, execution logs, residual-risk notes.

Requirements & Qualifications

• Experience: 6+ years as a DBA / database engineer on large production estates; proven work where changes are rolled out across hundreds or thousands of databases programmatically.
• Core stack (Must-Have): deep SQL Server 2017/2019 administration and performance; expert T-SQL (stored procedures, triggers); working MySQL 8 / AWS Aurora.
• Automation (Must-Have): schema-change automation across many single-tenant databases — templated migrations, batching, verification, rollback.
• Sensitive data (Must-Have): hands-on experience with encrypted data stores — encrypted card-vault handling / migration, key-rotation and re-encryption scenarios.
• Nice-to-Haves: Cosmos DB; DynamoDB; Azure SQL Managed Instance; PCI DSS exposure.
• English: fluent written and spoken English (B2+) for documentation, evidence packages and client calls.
• Working hours: standard EU hours with 2–3 hours of overlap with US Eastern Time for client ceremonies.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for an AI Application Engineer to build AI-enabled applications, internal tools, and agentic workflows using modern AI coding and development platforms such as Codex, Claude Code, ChatGPT, Claude, Vercel, and related APIs/SDKs. This person will be responsible for turning business needs into working software quickly. They will use AI-native development tools to accelerate prototyping and production delivery, while still applying strong software engineering judgment around architecture, security, testing, maintainability, and user experience. This is not a research role and not a pure prompt-engineering role. It is a hands-on builder role for someone who can design, build, test, deploy, and iterate on AI-powered applications and agents.

The position requires 3-4 hours of overlap with the Pacific time zone.

Key Responsibilities:

• Build AI-powered web applications, internal tools, prototypes, and workflow automations using modern full-stack technologies.
• Develop and configure agents in platforms such as ChatGPT, Claude, and related enterprise AI environments.
• Use AI coding tools such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools to accelerate software development while maintaining quality standards.
• Build applications using frameworks and platforms such as Next.js, React, TypeScript, Node.js, Python, Vercel, APIs, databases, and cloud services.
• Integrate large language models into applications using APIs, SDKs, tool calling, function calling, retrieval, memory, structured outputs, and workflow orchestration.
• Translate business requirements into working software, including lightweight product discovery, technical design, prototyping, testing, deployment, and iteration.
• Evaluate where an AI agent, chatbot, workflow automation, or traditional application is the right solution.
• Create reusable templates, components, agent patterns, and development practices that help teams build faster.
• Partner with business stakeholders, product managers, designers, engineers, data teams, security, and legal/compliance partners as needed.
• Ensure applications and agents are secure, reliable, explainable enough for the use case, and aligned with company standards.
• Measure adoption, usability, quality, and business impact of AI-enabled solutions.

Required Qualifications:

• 7+ years of software engineering experience, preferably in full-stack, product engineering, internal tools, platform engineering, or automation roles.
• Strong proficiency in TypeScript/JavaScript, especially React, Next.js, Node.js, APIs, and modern frontend/backend development.
• Working knowledge of Python for scripting, automation, API integrations, data handling, or agent workflows.
• Experience building and deploying web applications using platforms such as Vercel, AWS, GCP, Azure, or similar cloud/deployment environments.
• Hands-on experience with generative AI tools such as ChatGPT, Claude, Codex, Claude Code, Cursor, GitHub Copilot, or similar AI development tools.
• Experience integrating LLMs into applications using APIs, SDKs, prompt patterns, structured outputs, retrieval, tool calling, or workflow automation.
• Strong software engineering fundamentals: clean code, testing, Git, code review, debugging, logging, documentation, security awareness, and maintainability.
• Ability to work directly with non-technical stakeholders and turn ambiguous business problems into working solutions.
• Strong judgment about when to use AI, when not to use AI, and how to keep a human in the loop for higher-risk workflows.

Preferred Qualifications:

• Experience building AI agents, custom GPTs, Claude projects, workflow agents, copilots, or enterprise AI assistants.
• Experience with Vercel AI SDK, LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, Anthropic APIs, or similar frameworks.
• Experience with retrieval-augmented generation, vector databases, embeddings, search, knowledge bases, and enterprise data integrations.
• Experience building internal productivity tools, employee-facing workflows, operations tools, or business process automation.
• Experience with authentication, permissions, secure data handling, audit logging, and enterprise deployment patterns.
• Experience designing lightweight user experiences for AI tools, including chat interfaces, agent dashboards, task flows, and approval workflows.
• Comfortable working in fast-moving, prototype-to-production environments.