SeniorFull TimeENEurope
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)
What We Offer
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern
Pension and health (Canadian Medical) contributions
Internal reward system plus referral program
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs
Up-to-date laptop and iPhone, parking in the garage, showers, refreshments
Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/
Required Skills:
Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Container Service (Amazon ECS), Amazon Relational Database Service (RDS), Amazon S3, Amazon Web Services (AWS), AWS Batch, AWS CloudFormation, AWS Key Management Service (KMS), CI/CD, Docker (Software), GitHub, GraphQL (Query Language), Infrastructure As Code (IaC), Kubernetes, Linux, Linux Bash, Python (Programming Language), Red Hat Ansible, RESTful APIs, Structured Query Language (SQL), TerraformPreferred Skills:
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Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
No relocationVISA Sponsorship:
YesTravel Requirements:
10%Flexible Work Arrangements:
Not ApplicableShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
N/AJob Posting End Date:
05/10/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
