Job Description
This is a remote position and we are hiring candidates from the whole country.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)
What you will do
- Serve as an expert and go-to person for graph optimization problems;
- Supervise safe, accurate, and efficient transfer of job chains from competitive systems to Redwood products;
- Work with schema on read problems (given XML, JSON, etc.) to create a solution that maps a reader to that schema, translates to an internal standard schema for a standard set of objects, and that feeds into the chain generator;
- Collaborate with cross-functional teams to align data migration with business goals and technical requirements.
Must haves
- Expert knowledge in Graphs Theory (5+ years of professional experience):
- Graph Algorithms (analyze graph structures and uncover meaningful patterns. Topics such as breadth-first search, depth-first search, shortest path algorithms, centrality measures, and community detection algorithms for exploring relationships and characteristics within graphs;
- Graph Visualization: Visualization techniques, including force-directed layouts, hierarchical layouts, and matrix representations;
- Graph Database Technologies: Graph database technologies, such as Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB;
- Knowledge of one of the following programming languages: Java, Python;
- Proficient in version control software such as Git, Mercurial or SVN;
- Proficient in using software collaboration tools such as TFS or JIRA;
- Working knowledge of various databases (MySQL, MSSQL, Oracle, Postgres);
- Working knowledge of various operating systems (Windows, Linux);
- Working knowledge of integrating with RESTful services using JSON;
- Upper-intermediate English level.
Nice to haves
- Practical experience in one of the domains: related to graph analytics: e.g. social network analysis, fraud detection, recommendation systems, supply chain optimization, cybersecurity;
- Basic understanding of Scrum methodology;
- Experience with cloud-based services including AWS and Azure.
The benefits of joining us
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Requirements
Expert knowledge in Graphs Theory (5+ years of professional experience): Graph Algorithms (analyze graph structures and uncover meaningful patterns. Topics such as breadth-first search, depth-first search, shortest path algorithms, centrality measures, and community detection algorithms for exploring relationships and characteristics within graphs; Graph Visualization: Visualization techniques, including force-directed layouts, hierarchical layouts, and matrix representations; Graph Database Technologies: Graph database technologies, such as Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB; Knowledge of one of the following programming languages: Java, Python; Proficient in version control software such as Git, Mercurial or SVN; Proficient in using software collaboration tools such as TFS or JIRA; Working knowledge of various databases (MySQL, MSSQL, Oracle, Postgres); Working knowledge of various operating systems (Windows, Linux); Working knowledge of integrating with RESTful services using JSON; Upper-intermediate English level.
