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Docotel Group

Docotel Group

www.docotel.com

6 Jobs

155 Employees

About the Company

"From an Idea to conceptualization to blueprint, to its ultimate development, testing & delivery". We take care, we make sure that every aspect is well thought of. Better by Design is in our culture, our process, our methodology and our mind-set

Listed Jobs

Company background Company brand
Company Name
Docotel Group
Job Title
Java Developer
Job Description
**Job Title** Java Developer **Role Summary** 5‑plus month contract, full‑stack Java developer (6‑9 years experience) to design, build, deploy and support Java‑based microservices and RESTful APIs. Focus on Kubernetes/AWS environments, CI/CD pipelines, and on‑call troubleshooting. **Expectations** - Deliver production‑ready code on schedule. - Participate in on‑call support and production issue resolution. - Maintain code quality through automated testing, code reviews, and CI/CD best practices. - Continuously learn and apply emerging Java, cloud, and DevOps technologies. **Key Responsibilities** 1. Architect and implement Java microservices using modern frameworks (e.g., Spring Boot). 2. Design, build, and expose RESTful APIs with proper documentation. 3. Deploy, monitor, and scale services on Kubernetes or AWS (EKS, ECS). 4. Build and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) with Docker image management. 5. Write unit, integration, and performance tests; enforce test coverage thresholds. 6. Conduct code reviews, enforce coding standards, and uphold security best practices. 7. Gather functional and non‑functional requirements; translate them into technical specifications. 8. Troubleshoot production incidents, participate in root‑cause analysis, and apply corrective actions. 9. Create technical documentation for architecture, configuration, and deployment procedures. **Required Skills** - Advanced proficiency in Java (8/11/17) and Spring ecosystem (Spring Boot, Spring Cloud). - Experience building stateless microservices and RESTful APIs. - Strong knowledge of Kubernetes (kubectl, Helm) or AWS services (EKS, ECS, CloudFormation). - Docker, container registries, and orchestration fundamentals. - CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or equivalent. - Git, branching strategies, and merge/pull‑request workflows. - Automated testing frameworks (JUnit, Mockito, Testcontainers). - Performance tuning, logging (SLF4J, Logback), and monitoring (Prometheus, Grafana). - Familiarity with Agile/Scrum development practices. - Excellent problem‑solving, communication, and collaboration skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Oracle Certified Professional – Java SE (preferred). - AWS Certified Developer – Associate or Kubernetes Certified Application Developer (preferred).
Jersey city, United states
On site
Mid level
26-11-2025
Company background Company brand
Company Name
Docotel Group
Job Title
.Net Developer
Job Description
Job Title: .NET Developer Role Summary: Contractual .NET Developer (Advanced level) responsible for designing, coding, testing, and maintaining enterprise applications on the .NET / .NET Core platform. Works remotely for a 6+ month engagement, delivering solutions that enhance operational efficiency and user experience. Expectations: - Execute end‑to‑end development of software components. - Collaborate with cross‑functional teams to align technical implementation with business requirements. - Deliver high‑quality, maintainable code following architectural best practices. - Meet sprint and project milestones within a W2 contract framework. Key Responsibilities: 1. Develop and maintain applications using .NET/.NET Core, C#, and Web API. 2. Create and modify reusable utility programs and business logic layers. 3. Design, implement, and optimize SQL Server data access via Entity Framework, LINQ, and stored procedures. 4. Apply design patterns, unit testing (mocks), and code reviews to ensure reliability. 5. Integrate messaging services (RabbitMQ, queue mechanisms) and logging/monitoring solutions. 6. Deploy and manage applications on Azure PaaS (Web App, Functions) and troubleshoot platform issues. 7. Participate in architecture discussions, suggest improvements, and support scalability (Docker/Kubernetes familiarity is a plus). 8. Debug and tune database performance (indexes, queries). 9. Collaborate with stakeholders to define requirements and provide timely technical recommendations. Required Skills: - 3–5 years of .NET/.NET Core development experience. - 2+ years of C# programming. - 1+ year of Web API development. - 2+ years with SQL Server (including stored procedures, indexing). - Proficiency in Entity Framework, LINQ, design patterns, unit testing (mock frameworks). - Experience with RabbitMQ or similar queue mechanisms. - Practical knowledge of Azure services (WebApp, Functions, PaaS). - Understanding of logging/monitoring practices. - Solid problem‑solving, debugging, and performance tuning skills. - Ability to work independently in a remote contract environment. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Industry certifications (e.g., Microsoft Certified: Azure Developer Associate) preferred but not mandatory.
Denver, United states
Hybrid
Junior
08-12-2025
Company background Company brand
Company Name
Docotel Group
Job Title
Machine Learning/AI
Job Description
**Job Title** Machine Learning/AI Engineer (Contract) **Role Summary** Deliver end‑to‑end machine learning and artificial intelligence solutions for client teams. Design, develop, train, evaluate, and deploy models using Azure Cognitive Services, Databricks, SQL Server, and third‑party NLP libraries. Apply natural language processing, computer vision, and predictive analytics to solve business problems and provide production‑ready AI applications. **Expectations** - Complete projects within the 7+ month contract window. - Maintain high quality and performance of models in production. - Collaborate closely with technical and business stakeholders to align solutions with requirements. - Document all stages of model development and deployment. **Key Responsibilities** - Preprocess data, conduct feature engineering, and select optimal features for model training. - Develop and fine‑tune large language models (LLMs) and offline open‑weight models, with expertise in healthcare/clinical text. - Implement NLP frameworks (spaCy, Hugging Face, NLTK) and integrate pretrained models via Claude API or similar. - Deploy models on Databricks, ensuring efficient integration with SQL Server and Azure Cognitive Services. - Conduct model evaluation, monitoring, and performance tuning in production environments. - Produce clear technical documentation and collaborate cross‑functionally. **Required Skills** - Advanced experience (6–9 years) with Databricks. - 5+ years of AI/ML engineering, including LLM fine‑tuning and prompt engineering. - Proficiency in Azure Cognitive Services integration. - Expertise with SQL Server and Databricks foundational model integration. - Strong command of Python and NLP libraries (spaCy, Hugging Face, NLTK). - Clinical or healthcare text processing experience. - Ability to deploy models to production and monitor performance. - Familiarity with Claude API implementation is a plus. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, or a related technical field. - Relevant professional certifications in AI/ML, Azure, Databricks, or NLP are advantageous.
Columbus, United states
On site
Mid level
14-12-2025
Company background Company brand
Company Name
Docotel Group
Job Title
DevOps Contractor
Job Description
**Job Title** DevOps Contractor **Role Summary** Streamline CI/CD pipelines, automate deployment processes, and optimize infrastructure while developing machine learning models (LLMs) for integration into enterprise systems. **Expectations** - Advanced 6-9 years’ expertise in machine learning, specifically large language models (LLMs). - Proficient in scalable infrastructure deployment and cross-functional collaboration to implement production-ready ML solutions. **Key Responsibilities** - Design, train, and evaluate machine learning models (LLMs) for performance and product alignment. - Develop and maintain CI/CD pipelines for software build, testing, and deployment. - Optimize inference pipelines and serve infrastructure (e.g., quantization, caching). - Implement infrastructure as code (IaC) for automated resource provisioning. - Monitor system performance, scalability, and availability. - Collaborate with development, operations, and product teams to integrate models into applications or APIs. - Conduct security assessments and apply patches/updates for system integrity. - Lead experimentation with new ML architectures, prompt-engineering techniques, and retrieval systems. **Required Skills** - Machine Learning (Advanced): LLM development, model optimization, and evaluation. - CI/CD Pipeline Automation (Tools: Git, Jenkins, Docker, Kubernetes). - Infrastructure as Code (Tools: Terraform, Ansible). - Systems Integration & Monitoring (Tools: Prometheus, Grafana). - Python and Scripting (Bash, PowerShell). - DevOps practices (automated testing, deployment). **Required Education & Certifications** Not specified. Advanced experience (6-9 years) in machine learning and DevOps required.
San jose, United states
On site
Mid level
14-12-2025