Job
Description
We collect, annotate, analyze petabytes of scientific data. We help our scientists to process, analyze scientific data at scale by developing highly parallelized analytical workflows ran on HPC infrastructure (on-prem & cloud); to manage, explore and visualize various scientific data modalities by developing bespoke data models, bioinformatics ETL processes, data retrieval and visualization services using distributed micro-service architecture, FAIR data principles, SPA type dashboards, industry specific regulatory compliant data integrity, auditing, and security access controls. We are looking for Software Engineers (SE) who can break down and solve complex problems with a strong motivation to get things done with a boots-on-the-ground, pragmatic mindset Basic Qualifications MUST (Proficient (3+ years hands-on experience): o w/ at least one language: Java (preferred), Python or C# o Proficient with Nextflow pipelines, execution, maintenance, debugging Bioengineering is large advantage, but not a must. o with building CI/CD workflows with Jenkins or equivalent o with using IaC frameworks (CloudFormation, Ansible, Terraform) o to build microservice-architecture solutions with a focus on scientific data analysis and management o to integrate AWS services (EC2/RDS/S3/Batch/KMS/ECS etc..) into production workflows SHOULD-HAVE (2+ years hands-on experience) o Previous experience with Epam-CORA deployment/support o with these scripting languages: Python, Bash o to build production workflows using Java/Spring (preferred), Python or C#/ .Net o with Linux OS command line o to drive API (REST, GraphQL, etc.) driven, modular development of production workflows and integration with 3rd party vendor platforms o to create relational data models, ETL processing pipelines using PostgreSQL (preferred), Oracle, SQL Server, MySQL SOFT-SKILS MUST o Strong collaborator, communicator, o Strong problem-solving skills o Experienced with making technical partnerships with research and business teams Design and implement engineering tools, applications and solutions that facilitate research processes and scientific discovery in several areas of our drug discovery process. Engineering support of day-to-day activities/needs in our infrastructure. Help drive the design and architecture of adopted engineering solutions with a detail-oriented mindset Promote and help with the adoption of development, design, architecture, and DevOps best practices, with a particular focus on agile deliver mindset Manage technical and business dependencies and bottlenecks; balance technical constraints with business requirements; and deliver maximum business impact with solid customer experience Help stakeholders with go/no-go decisions on software and infrastructure by assessing gaps in existing software solutions (internal/external), by vetting technologies/platforms and vendor products Strong collaboration, organization skills in cross-functional teams; ability to effectively communicate with technical and non-technical audiences; work closely with scientists, peers, and business leaders in different geographical locations to define and deliver complex engineering features