Promantus takes great pride in the dedication, commitment and positive attitude our team has towards all projects we take on. Our team of skilled practitioners in the different areas of Technology and Business Management creates an environment of learning, innovation and creativity for internal and customer projects.
We are always looking for talented individuals to join our team.
Internship Options
Apply here for 2023 Summer Internship Program
Senior Front End Engineer
Job location: Remote
Promantus (Function) is seeking an experienced Senior Frontend Engineer to join our team. Ideal candidates will exhibit versatility, display leadership qualities, and are enthusiastic to tackle challenges across the full frontend stack, from quick prototypes to public software releases.
Most importantly, candidates are hungry to be a part of exciting projects to improve the health and wellness of people worldwide.
Senior Full Stack Developer – Lead
Job location: Washington, DC area
Promantus Inc is looking for a Senior Full Stack PHP Developer Lead with 8+ years of experience in developing customized product for our clients. The role is expected to drive technology discussions and analyze the current landscape for gaps in addressing business needs. Promantus needs a motivated individual to enhance our current services and technologies.
Read more…Full Stack Developer With React Experience
Job location: Raleigh, NC
We have an immediate need of a Full Stack JavaScript Developer (Node, React). This person needs to be a highly motivated individual, who works well with others. He or she must have strong development skills and must be able to support all development activities within the organization as well as with our external stakeholders.You will be primarily responsible for leading the development of new robust feature sets across multiple Promantus projects, which will include both web and mobile development.
You will work closely with the delivery lead and manage other developers, where responsibilities will include both front- and back-end development and oversight.
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Technical
Job location: Raleigh, NC
Multiple positions:Computer Systems Analysts: Analyze user requirements, procedures, & problems to automate or improve existing systems & review comp system capabilities, workflow, & scheduling limitations.
Computer S/W Engineers, Applications: Develop, Create, & Modify general computer applications software or specialized utility programs. Analyze user needs & develop software solutions.
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Promantus is working with a national telecommunications company and service provider on along term growth opportunity. We are augmenting the delivery services team and looking for IT professionals who are interested in growing with us. We are employee friendly and provide a lot of flexibility for telecommute and remote work unless demanded by our clients. Our benefits package includes coverage for you and your family at zero cost to you. Skill development opportunities are in abundance. If you are interested, please send your resumes to recruit@promantusinc.com citing the position.
Big Data Machine Learning (ML) Engineer
Job location: Plano, TX. (Remote until further guidance on COVID-19)
4 Positions | Full-Time | $80,000 – $125,000 /yr | Full healthcare coverage with employer paid premiums & full coverage for deductibles
• Competent Machine Learning engineer, who is independent, results driven and is capable of taking business requirements and building out the technologies to take it to production. • Big Data ML Engineer with expert level experience in Hadoop ecosystem and real-time analytics tools including PySpark, Scala-Spark, Hive, Hadoop, CLI, MapReduce, Storm, Kafka, Lambda Architecture • Expert with using the larger Hadoop ecosystem • Familiar with job scheduling challenges in Hadoop • Experienced in creating and submitting Spark jobs • Strong Software Engineering ability in developing, deploying, testing • Strong Big data engineering for building data pipelines and deploying them on Cloud • Expertise in Machine learning and Deep Learning problem solving • Experience with cloud Data science development and deployment • Research and implement appropriate ML algorithms and tools • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test resultsFull Stack Developer
Job location: Plano, TX. (Remote until further guidance on COVID-19)
4 Positions | Full-Time | $80,000 – $125,000 /yr | Full healthcare coverage with employer paid premiums & full coverage for deductibles
• Full Stack Development background with Java and JavaScript/CSS/HTML • Knowledge of ReactJS/Angular is a plus • Comfortable with using the larger Hadoop eco system • Familiar with job scheduling challenges in Hadoop • Experienced in creating and submitting Spark jobs • Experienced with Kafka/Storm and real-time analytics • Core Java and Python/Scala background and their related libraries and frameworks • Experienced with Spring Framework and Spring Boot • Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting • PL/SQL, RDBMS background with Oracle/MySQL • Familiarity with ORMs a plus • Design, Development, Configuration, Unit and Integration testing of web applications to meet business process and application requirements • Familiar with config management / automations tools such as Ansible/Chef/Puppet • Comfortable with micro-services, CI/CD, Dockers, and Kubernetes • Comfortable tweaking/using Jenkins and deployment orchestration • Creating/modifying Dockers and deploying them via KubernetesData Scientist
Job location: Plano, TX. (Remote until further guidance on COVID-19)
4 Positions | Full-Time | $80,000 – $125,000 /yr | Full healthcare coverage with employer paid premiums & full coverage for deductibles
• Building and owning large scale machine learning models • Processing large datasets (predominantly text, but also images) and working with big data technologies, languages, and frameworks: SCOPE, Spark, SQL, PyTorch, TensorFlow, Python, C#, Java • Designing experiments, setting up evaluations, and producing trustworthy conclusions. • 3+ years of experience in one or more of ML/Deep Learning, NLP, IR, databases, and graph algorithms. • 1+ years of experience in parallel or distributed CPU/GPU processing, high performance computing, or stream computing. • Experience in deploying Machine Learning/Deep Learning models in Azure/AWS/GCP. • Experience with Web applications and service architecture; Web information extraction is a plus. • Strong desire to keep up to date with research and potential applications. Vision for how to advance the state of the art. • You care about good software engineering practices, including version control, modular design, code quality, testing, and documentation. • M.S in Computer Science (preferred).Cloud Engineer
Job location: Plano, TX. (Remote until further guidance on COVID-19)
4 Positions | Full-Time | $80,000 – $125,000 /yr | Full healthcare coverage with employer paid premiums & full coverage for deductibles
• Competent Cloud engineer, who is independent, result-driven, and is capable of taking technical requirements and setting up production-grade infrastructure. • Expertise in delivering quality and robust work output that implements best practices in infrastructure as Code on at least 2 out of 3 major public cloud environments. • Expertise in root cause analysis (RCA) and implement solutions that address the RCA in public cloud deployments. • Expertise in Kubernetes, Dockers, Terraform. • Expertise in using Cloud DevOps to perform automated deployments on the cloud (Azure DevOps). • Expertise in deploying & debugging cloud applications. • Skill in API usage, command-line interface, and SDKs for writing applications. • Setting up and configuration of Azure/AWS services to support ML infrastructure. • Understanding of ML lifecycle management • Ability to code to implement essential security measures • Skills in writing, correcting, and debugging code modules. • Code writing skills for server-less applications. • Certifications in AWS or Azure DevOps are plus