Job DescriptionWe run the enterprise SaaS platforms, APIs, and data integrations that our research organisation depends on every day. You will be the technical owner of one of them: the Signals Research Suite — the electronic lab notebook platform used by scientists across several divisions worldwide.This is a hands-on configuration, integration, and platform engineering role, not a ticket queue. You will own the technical roadmap, run the release pipeline, drive the vendor feature backlog, automate the manual work away, and decide where the platform goes next.Our platform happens to serve laboratory and experiment-management workflows, so you will learn that domain here — and you will learn Signals itself here. We do not expect you to arrive with either. What we do expect is that you have owned a production platform before and know how to make one better.Reports to the Product Technical Lead.What You Will DoOwn the platformAct as technical owner for the Signals Research Suite and the integrations around itOwn the configuration, customisation, and development of the suite's modules to meet evolving research and business needsTranslate scientific workflow requirements into platform configuration (templates, experiments, workflows, ADTs) and into integrations with other systemsOwn and prioritise the enhancement backlog, and contribute to the target-state architecture and technical roadmap for the platformRun releases and productionManage the full SDLC: requirement gathering and analysis, solution design and configuration, development and scripting, collaboration with testing and UAT teams, deployment via the Configuration Transfer Tool or equivalent, production release, and hypercareLead investigation and resolution of production incidents across application, API, data, identity, and network layersDrive structured root-cause analysis and corrective actions to closure; improve monitoring, alerting, runbooks, and operational metrics so the next incident is shorter — or does not happenApply ITSM practices across Incident, Request, Problem, Change, Knowledge, and Release ManagementEngineer and integrateBuild and maintain integrations between Signals, internal enterprise services, SaaS and cloud applications, and legacy systems, using APIs and middlewareDebug data-consistency and integration failures across APIs, event flows, and identity boundariesUse cloud services and enterprise networking knowledge to diagnose and harden platform reliabilitySupport deployments, go-live readiness, rollback planning, and post-deployment stabilisationAutomate and use AI wellAutomate repetitive operational work — triage, configuration comparison, checks, reporting, provisioning — with scripting and approved toolingDrive AI initiatives that enhance scientific workflows for business usersBuild internal AI-powered tools (e.g. a technical RAG chatbot) that accelerate team onboarding, troubleshooting, and self-service how-to guidanceUse AI-assisted tooling for log analysis, incident triage, investigation, and knowledge capture — and validate its output against real platform evidence before acting on itSet technical directionServe as technical liaison with Revvity (the vendor) for escalations, defects, feature requests, enhancements, upgrades, and release coordinationPrioritise technical work with the Product Owner, and communicate risk, impact, and options to technical and non-technical audiences alikeCollaborate with cross-functional teams including Product Owner, Product Technical Lead, Quality Unit, infrastructure, and supportMentor less experienced engineers and contribute to engineering standards and documentationWork in a global, distributed Agile team following product model practicesWork in a regulated environmentFollow established validation, change-control, and documentation practices — our platforms are audit-sensitive, and we will train you on what that means in practiceDocument configurations, processes, and troubleshooting guides to support knowledge sharing and compliance requirementsIdentify security, access, and data-protection risks early and bring in security and architecture partnersWhat You Bring4+ years engineering, operating, configuring, or owning production software platforms, SaaS solutions, or enterprise systemsReal production incident experience: you have been on the sharp end of an outage, led the investigation, and closed the loop afterwardsStrong understanding of the complete SDLC, from requirements through production release and hypercareSolid debugging skills across the stack — application, API, data, identity, and network — with a structured approach to root-cause analysisWorking knowledge of a major cloud platform (AWS, Azure, or GCP) and of enterprise networking fundamentals (DNS, TLS, firewalls, proxies, connectivity patterns)Scripting or development ability (Python or similar) for automation, and working knowledge of API and integration patterns, including RESTful servicesPractical use of AI-assisted tools in engineering or operations work, with sound judgement about their outputSelf-driven and proactive: demonstrated ability to identify opportunities, propose solutions, and execute independently rather than waiting to be askedClear written and spoken English, and the ability to work with distributed teams across Europe, the US, and IndiaBachelor's degree in Computer Science, Engineering, Information Systems, or a life sciences field (biology, chemistry, biotechnology, bioinformatics, biomedical engineering, or similar) — or equivalent practical experience. We welcome scientists who moved into engineeringNice to Have (Not Required)We will teach you the platform and the domain. Any of the following is a bonus, none is a filter:Experience with an ELN or LIMS platform, and in particular the Signals One Research Suite and its modules (Notebook, VitroVivo, Inventa, CD, Synergy) or the Signals Notebook REST APIOther scientific informatics platforms — LIMS, ELN, sample management — or specific products such as Benchling or ZONTALFamiliarity with scientific data standards (SDF, HELM, chemical structures) or with laboratory workflows such as stoichiometry, assay data, or sample managementObservability tooling (Dynatrace, Grafana, Datadog, Splunk, CloudWatch or similar)Infrastructure as code, CI/CD pipelines (GitHub, GitHub Actions), or containersAdditional languages and libraries: SQL, C#, PowerShell, Bash, Pandas, StreamlitExperience in a regulated, GxP, or otherwise audit-sensitive environment, including 21 CFR Part 11 / Annex 11Experience with AI/LLM technologies, RAG architectures, or building AI-powered internal toolsExperience with Agile/Scrum delivery; ITIL v4 Foundation, Six Sigma Green Belt, or similar certificationLife sciences, pharma, research, or manufacturing IT backgroundAdvanced degreeWhat Success Looks LikeIn the first 6 months you will:Co-deliver 2 Signals software releases to production alongside the existing teamMap current configuration, validation, and deployment processes end to end and identify improvement opportunities across themOwn and prioritise the Signals enhancement backlog, aligning vendor feature requests with business needs and release timelinesEstablish yourself as the primary technical liaison with Revvity for feature coordination, escalations, and release planningIn the first 12 months you will:Deliver Signals software releases to production independentlyDrive 2-3 vendor feature enhancements from requirement through production release, coordinating across Revvity, QA, and business stakeholdersImplement automated configuration promotion, reducing manual effort and deployment riskBuild and maintain a living enhancement roadmap that gives the Product Technical Lead and Product Owner clear visibility into pipeline statusEstablish reusable automation (scripts, pipelines, dashboards) that reduces repetitive operational work across the teamDeliver an AI-powered knowledge tool (e.g. a chatbot) that enables team self-service for technical how-to questionsWhy This RoleEnd-to-end ownership of a platform that directly enables drug discovery and developmentA technical practice you get to shape, not inherit fully formedGenuine mandate to automate and to apply AI tooling to platform and operations workPrague-based team working closely with US and India engineeringWhat We OfferExciting work in a great team, global projects, international environmentOpportunity to learn and grow professionally within the company globallyPension and health (Canadian Medical) contributionsInternal reward system plus referral program5 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 contributionCafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programsUp-to-date laptop and iPhone, parking in the garage, showers, refreshmentsCompetitive salary, incentive pay, and many moreReady 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:Artificial Intelligence (AI), Cloud Computing, IT Networking, Production Troubleshooting, RESTful APIs, Scripting, Software as a Service (SaaS), Software Development Life Cycle (SDLC), Technical LeadershipPreferred Skills:CI/CD, Electronic Lab Notebook (ELN), GxPs, Laboratory Information Management System (LIMS), Pharmaceutical Industry, Scrum (Agile)Current Employees apply HERECurrent Contingent Workers apply HERESearch 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:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):N/AJob Posting End Date:09/1/2026*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.