DevOps Squad Lead
About this role
Job Description
Our Engineering team builds core components used by our Research Labs’ data analytics, visualization, and management workflows. The analysis tools and pipelines built for
data processing by our team in partnership with our scientists aim to accelerate research and the discovery of new therapies for our patients.
We collect, annotate, analyze petabytes of scientific data (multi-omics, chemistry, imaging, safety) used in biomarker research, drug safety/efficacy, drug target discovery, and compendium diagnostic development. 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 a creative and disciplined software engineering team, using agile practices and established technology stacks to design and develop large-scale data analytics, visualization, and management software solutions for local and on-cloud hosted HPC datacenters, as well as to integrate 3rd party analytical platforms with internal data workflows to address pressing engineering and data science challenges of life-science.
We are looking for Team lead – Devops Engineer (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! Our engineers own their products end to end and influence the way how our products and technology are deployed to facilitate most aspects of drug discovery impacting hundreds of thousands of patients around the world. We are looking for engineers who can creatively handle complex dependencies and ambiguous requirements, competing business priorities, while producing fit-for-purpose, optimal solutions.
We are hoping that you are passionate about collaborating across the interface between hard-core software development and research and discovery data analysis.
Responsibilities
- 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
- 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
Requirements
- BS or MS in Computer Science/engineering or equivalent technical field
- Team/tech lead experience, mentoring junior members, build delivery plans
- Strong collaborator, communicator
- Strong problem-solving skills
- Experienced with making technical partnerships with research and business teams
- Proven ability (5+ years hands-on experience)
- to integrate AWS services (EC2/RDS/S3/Batch/KMS/ECS etc..) into production workflows
- to build CICD pipelines, CI/CD workflows with Github or equivalent
- with using IaC frameworks (Terraform, CloudFormation, Ansible)
- with developing and deploying containerized applications (i.e., Docker, Singularity)
- with advanced usage of programming (scripting) languages: Python, Bash
- with Linux OS command line
- 2+ years hands-on experience
- to drive API (REST, GraphQL, etc.) driven, modular development of production workflows and integration with 3rd party vendor platforms
- to create relational data models, ETL processing pipelines using PostgreSQL (preferred), Oracle, SQL Server, MySQL
- Nice to Haves
- Prior experience with
- with building resource intensive HPC analysis modules and/or data processing tasks
- with containerization platform: Kubernetes/Helm
- with end-to-end testing framework: Robot/Selenium
- with non-relational database vendors (Elastic Search, etc..)
- with building, troubleshooting C, C++ libraries and dependencies on Linux (maven, make, etc..)
- with frontend development (any JS framework)