Jobs at Intetics

Collect geospatial data in Florida using LiDAR and potentially 360-degree mapping systems. Configure, calibrate, and operate drone-, vehicle-, or pedestrian-based LiDAR equipment, ensuring accurate field data collection. Candidates must provide or own a suitable LiDAR system and have surveying or geospatial experience. The role requires travel and temporary relocation within Florida; fuel and accommodation expenses are covered.

General application for future opportunities at Intetics across software development, quality assurance, business analysis, project management, design, and other fields. Applicants should submit an updated CV and may provide relevant skills, experience, preferred roles, location, working arrangements, availability, compensation expectations, and professional portfolio links. Recruitment will review profiles for suitable future openings.

Design, build, deploy, and optimize production LLM agents, MCP servers, RAG and memory architectures, and multi-agent orchestration systems. Develop AI solutions using Amazon Bedrock or Microsoft Foundry, establish evaluation and monitoring frameworks, implement guardrails, analyze failures, and collaborate on scalable AI products. Requires strong experience with agent frameworks, production deployments, cloud AI services, Docker, and CI/CD.

Collect geospatial data in California using drone-, vehicle-, or pedestrian-based LiDAR systems. Configure, calibrate, and operate LiDAR equipment to produce accurate mapping data, with preferred GNSS and IMU integration. Candidates must provide a suitable LiDAR system, demonstrate surveying or geospatial collection experience, and be legally authorized to operate drones when applicable. The role requires travel and temporary relocation within California; fuel and accommodation expenses are covered.

Collect field-based geospatial data using LiDAR and 360-degree mapping systems across California. Configure, calibrate, and operate drone-, vehicle-, or pedestrian-based LiDAR equipment, ensuring accurate data capture. Candidates must provide a qualifying LiDAR system, have surveying or geospatial collection experience, and be able to travel or temporarily relocate within California. Fuel and accommodation expenses are covered.

Collect LiDAR and 360-degree geospatial data at locations throughout California. Configure, calibrate, and operate drone-, vehicle-, or pedestrian-based LiDAR systems, with responsibility for accurate field data collection. Candidates must provide or own suitable LiDAR equipment and have practical surveying or geospatial experience. Drone-based work requires a valid U.S. drone pilot license and documentation. Travel and temporary relocation within California are required, with fuel and accommodation expenses covered.

Collect geospatial data in California using drone-, vehicle-, or pedestrian-based LiDAR systems. Responsibilities include equipment setup, calibration, operation, surveying, and accurate field data collection. Candidates must provide or own a suitable LiDAR system, possess practical LiDAR expertise, and be willing to travel and temporarily relocate within California. Drone-based applicants need valid U.S. drone pilot licensing and documentation. Fuel and accommodation expenses are covered.

Develop and enhance banking functionality on the Kony platform, maintain application components, translate business and technical requirements into solutions, troubleshoot issues, collaborate with cross-functional teams, participate in code reviews and solution design, and support high-quality software delivery.

Develop and maintain automated backend and API tests, test backend services, analyze results and logs, maintain test plans and documentation, track defects, and collaborate with development and operations teams. The role requires strong Python and Pytest skills, REST and gRPC testing, Linux and Bash, Docker, Kubernetes, CI/CD, SQL, Kafka or Kibana, and familiarity with microservices and machine learning.

Analyze complex datasets using statistical methods, regression, hypothesis testing, simulations, and time-series analysis. Build dashboards and reports with Power BI, Tableau, and related tools; validate outputs, investigate data quality issues, and identify trends and anomalies. Translate findings into actionable recommendations, conduct research, monitor reporting accuracy, and communicate insights to technical and non-technical stakeholders. Use AI tools to support research, documentation, analysis, and quality-assurance workflows.

Serve as the technical bridge between customers and the product by leading onboarding, configuring accounts, validating data connections, troubleshooting issues, and supporting ongoing adoption. Translate customer needs into technical solutions, document implementations, manage multiple customer projects, collaborate with Sales and Engineering, and provide clear communication to technical and non-technical stakeholders.

Create and maintain technical documentation for cloud technologies, APIs, developer tools, and software products. Responsibilities include developing guides, tutorials, API documentation, release notes, and product content; managing documentation standards, toolchains, and publishing workflows; collaborating with engineers and product managers; improving information architecture; analyzing user feedback and documentation metrics; and supporting educational video content.

Build production-grade ML and MLOps infrastructure for cloud-native environments. Responsibilities include orchestrating Kubeflow pipelines, training and fine-tuning GPU-based models and LLMs, tracking experiments with MLflow, developing Python tooling, processing large datasets, and maintaining CI/CD, testing, security, and clean-code standards within Kubernetes.

Owns enterprise Azure data platform architecture, including modernization, scalable ingestion, data modeling, warehousing, analytics, governance, and structured/unstructured data processing. Designs implementation-ready solutions using Azure Synapse, Data Factory, Data Lake Storage, Cosmos DB, Databricks, Python, and SQL. Assesses complex environments, establishes architecture standards, optimizes performance and cost, documents target-state architectures, and supports engineering teams through implementation.

Designs and maintains highly available cloud infrastructure, scales secure Kubernetes environments, and develops Terraform-based infrastructure automation. Builds CI/CD pipelines, monitoring systems, and operational scripts using Ansible, Bash, and Python. Leads incident response, root cause analysis, and retrospectives while mentoring junior engineers. Preferred experience includes AWS, GCP, DevSecOps, distributed databases, PHP containerization, and vulnerability scanning technologies.

Develop maintainable Python and FastAPI backends for APIs and large language model applications. Build AWS-based workflow engines using Lambda and Step Functions, collaborate with frontend engineers and product leadership, and deliver backend functionality rapidly. Apply strong test-driven development practices, data modeling, ORM tools, and infrastructure-as-code approaches while maintaining high-quality, accountable software delivery.

Designs and secures resilient AWS cloud infrastructure, assesses security controls, monitors logs and threats, performs vulnerability assessments, develops security policies and reports, implements disaster recovery procedures, protects sensitive data, and supports network and security issues. Requires extensive DevOps and cloud security experience, AWS expertise, Infrastructure as Code knowledge, autonomy, teamwork, and CET timezone availability.

Designs, develops, debugs, tests, maintains, and documents web applications for an AI-powered e-learning platform. Integrates features using JavaScript and related web technologies, validates implementations against business requirements, follows SDLC and QA processes, optimizes performance, and participates in code reviews. The role requires strong pure JavaScript expertise, cross-browser development experience, problem-solving ability, communication skills, attention to detail, and upper-intermediate English.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.

Design, develop, and test complex web applications. Provide guidance, collaborate on features, ensure quality, and resolve technical issues.