Jobs at iLink Digital

Develop, deploy, and test cloud-native microservices on an established MSP using Java, Node.js, and/or Python. Build RESTful APIs, containerize services (Docker/Kubernetes/Helm), implement CI/CD and GitOps, ensure security (OAuth2/JWT, Keycloak), add observability (OpenTelemetry, Prometheus, APM), work with AWS/Azure, author API tests (Postman), and validate AI-generated code. Collaborate on integration, functional, unit, and performance testing.

Design and implement end-to-end data and analytics solutions on Microsoft Fabric. Lead architecture for lakehouse, data warehouse, pipelines (batch/streaming), semantic models (Power BI), governance, security (RBAC, lineage), performance optimization, and integrations with Azure and external systems. Provide technical leadership, mentorship, and governance for scalable, cost-effective Fabric platforms.

Design, build, and scale enterprise Databricks Lakehouse platforms. Lead architecture, platform standardization, ingestion frameworks (batch/stream), governance, performance/cost optimization, cloud integration, and mentor engineering teams.

Lead end-to-end delivery of Databricks-based enterprise data platform programs. Drive cross-functional teams (data engineering, data science, DevOps, BI), define architecture standards, manage roadmaps, risks, KPIs, and stakeholder reporting. Oversee Delta Lake, medallion architecture, ETL/ELT and streaming pipelines, platform optimization, governance, security, and Agile/SAFe delivery.

Consult with stakeholders to gather requirements and design BI solutions. Develop, deploy, monitor, and support BI/EDW systems. Define KPIs, build dynamic dashboards and reports, perform data validation and QA, and maintain data integration, architecture, and security. Use Agile practices and educate users on BI capabilities.

Design, develop, and enhance globally deployed E&P applications using Node.js and Angular. Build enterprise user experiences, create and maintain CI/CD automation, monitor and troubleshoot customer environments, implement data security and compliance measures, and produce process and configuration documentation.

Design and govern enterprise data architecture and solutions (data lakes, warehouses, lakehouses). Build end-to-end ingestion, storage, processing, integration, and consumption layers. Define models, governance, lineage, and security. Lead cloud data platforms, optimize performance/cost, advise stakeholders, and mentor data engineers.

Design, build, and maintain API and UI automation frameworks. Implement UI tests using Puppeteer/Cypress/Protractor and TypeScript/JavaScript; create API tests with Rest-Assured/Requests/ReadyAPI and Cucumber in Java or Python. Execute integration and performance testing (JMeter), review API documentation, align test cases with deployment scenarios, and collaborate in Agile teams.

Design, build, and optimize Databricks-based data and ML platforms. Own ETL pipelines, Delta Lake lakehouse, MLflow model lifecycle, MLOps, cluster optimization, RAG/LLM solutions, BI integration, and data governance with Unity Catalog.

Design, develop, and maintain ETL/ELT pipelines and stored procedures using Oracle Data Integrator. Build and document data warehouse schemas (fact/dimension), write and execute SQL, profile and validate data, apply data governance and quality practices, and use Python for API-based ingestion. Communicate with stakeholders and resolve data issues.

Design, build, and scale Azure ML solutions and data pipelines for LLMs, RAG, and agentic AI systems. Implement MLOps/DataOps practices, run A/B tests, monitor production models, and collaborate with stakeholders to deliver AI-driven decision support.

Senior front-end developer to build advanced web visualizations using Three.js, WebGL and HTML Canvas. Strong HTML/CSS skills required; Angular and AI/LLM-assisted UI experience are nice-to-have. Work involves integrating visualization frameworks and evolving UI features with light AI support.

Design, build, and maintain scalable ETL/data pipelines using PySpark, Python, SQL and Azure Databricks. Ensure data quality and performance, troubleshoot and optimize workflows, collaborate with data scientists and product teams, and follow data governance and agile practices.

Lead SRE role managing multi-cloud (AWS/Azure) production systems, Kubernetes clusters, and PostgreSQL. Build IaC with Terraform/Ansible, implement observability and incident management (Prometheus/Grafana/Datadog/ELK), define SLOs/SLIs, drive vulnerability remediation, run on-call rotations, and collaborate on capacity planning, DR, and post-mortems to improve reliability.

Develop and maintain .NET/.NET Core C# applications and ASP.NET web apps; design, debug, and support Web APIs and backend services; perform integration testing; work with Azure App Services and basic monitoring; interact with customers and provide production support and troubleshooting.

Lead product and technical architecture for cloud-native AI/GenAI solutions. Design LLM-based systems using vector databases and RAG, oversee model tuning, evaluation, and deployment, create product roadmaps and KPIs, and lead cross-functional teams while managing stakeholders and delivering solutions in R&D-heavy environments.

Design and build scalable full-stack applications using Python or Java backends and Angular frontends. Develop microservices, implement CI/CD and DevOps practices, deploy to cloud platforms (GCP/Azure/AWS) using Docker and Kubernetes, debug and optimize code, and collaborate across teams to troubleshoot and improve distributed systems.

Design, implement, test, troubleshoot and document software components. Apply software engineering best practices, component integration (APIs, DB queries), system design patterns, and participate in R&D and SDLC activities.

Design, develop, and maintain Teradata data warehouse solutions. Optimize complex SQL queries, manage indexing/partitioning/statistics, automate ETL with Teradata utilities, perform DBA tasks (backup/DR/security), monitor performance with TASM/Viewpoint, troubleshoot issues, and mentor junior engineers.

Develop and support EDM solutions for the petroleum/drilling domain. Work with OpenWells, WellPlan, and Compass, apply EDM data models and workflows, and contribute to EDM-related development; Python or Node.js experience preferred for DrillMiner use cases.