Production Support Engineer

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * Monitor and support real-time risk systems (Greeks, exposure, limits) * Own end-of-day PnL and resolve discrepancies (flash vs official) * Investigate trade and position breaks across internal systems, brokers, and exchanges * Ensure market data (prices, vol, curves) is accurate for risk/PnL calculations * Explain PnL moves with traders and quants (delta, gamma, vega, etc.) * Ensure systems are ready before market open (health checks, sign-off) * Manage incidents and communicate clearly under time pressure * Improve processes through automation (scripts, monitoring tools) * Support releases and validate risk/PnL outputs * Participate in on-call rotation (evenings/weekends, remote) Your present skillset: * 2+ years in risk, PnL, or quant support (trading firm, hedge fund, or bank) * Strong understanding of risk metrics (delta, gamma, vega, theta, DV01) * Experience with PnL production and reconciliation * Exposure to at least two asset classes (e.g. equities, FX, rates, commodities) * Strong SQL skills (SQL Server or Postgres) * ~1 year scripting (Python, Bash, or PowerShell) * Strong analytical and problem-solving skills * Clear communication with technical and business stakeholders * High ownership and proactive mindset Nice to have: * Market data tools (Bloomberg, Refinitiv) * Options pricing / vol surfaces * Prime brokerage / post-trade workflows * Algorithmic trading environments * Risk systems (e.g. Imagine, Murex, in-house) * Linux experience * Understanding of accounting PnL QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Datadog

As a Network Engineer II on the Office Technology team, you will implement and support office network solutions across Datadog’s global offices. You will own well-scoped deployment and upgrade work, troubleshoot connectivity issues across LAN, WAN, and Wi-Fi, and partner with senior engineers on larger designs and cross-office initiatives. You will collaborate closely with vendors, Facilities, AV, IT Support, Security, and Infrastructure teams to keep Datadog offices connected, reliable, and observable. This is an IC2 role with a mix of project work and day-to-day operations. You will take ownership of clearly defined areas of the office network stack, execute production changes with care, and grow your ability to design, automate, and improve office network services with support from senior engineers. You will also use AI-assisted tools responsibly to improve troubleshooting, documentation, automation, knowledge discovery, and operational follow-through. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do:  * Deploy and configure network solutions for new and existing offices, including switches, wireless access points, routers, and firewalls * Own scoped portions of office rollouts and upgrade projects, from planning through execution and validation * Partner with ISPs, cabling providers, hardware vendors, and internal teams to turn up new services and resolve issues * Troubleshoot LAN, WAN, and Wi-Fi issues using structured debugging methods, packet capture, logs, and performance data * Manage routing, VLAN, firewall, and wireless configurations following team standards and change-management processes * Contribute to repeatable deployment patterns through templates, documentation, scripting, or infrastructure-as-code * Monitor office network health using Datadog dashboards and other tooling, and participate in incident response and post-incident reviews * Maintain clear documentation for designs, runbooks, deployment procedures, and operational workflows * Collaborate with and provide network guidance to Office Technology Administrators, IT Support, Facilities, AV, Security, and Infrastructure partners * Help maintain office network standards, hardware lifecycle plans, and operational consistency across global sites * Apply AI-assisted tools thoughtfully to reduce operational toil, improve runbooks, summarize incidents or investigations, and make network operations more repeatable and observable. Who You Are:  * Grounded in networking fundamentals, including TCP/IP, routing, switching, VLANs, DHCP/DNS, and wireless concepts * Experienced working hands-on with enterprise network equipment such as switches, access points, routers, and firewalls * Comfortable executing production changes, validating outcomes, and escalating when risk or ambiguity increases * Able to troubleshoot connectivity and performance issues using logs, packet captures, monitoring data, and clear hypotheses * Pragmatic, detail-oriented, and interested in improving runbooks, documentation, and operational processes * A clear communicator who can work effectively with technical and non-technical partners across offices and time zones * Excited to grow your depth in network engineering, observability, automation, and secure office connectivity * AI-fluent in your day-to-day work: you use AI-assisted tools to learn, troubleshoot, document, and automate, while validating outputs and protecting sensitive information.   Bonus Points: * Experience with Meraki, Aruba, Cisco, Palo Alto, Fortinet, or similar enterprise networking platforms * Familiarity with Datadog or other monitoring and observability tools * Scripting or automation experience, for example Python, Ansible, Terraform, or vendor APIs * Experience supporting multiple office sites, hybrid office environments, office buildouts, or office relocations * Familiarity with secure network practices such as segmentation, VPNs, NAC, firewall policy, or zero trust networking Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.    Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Doctolib

YOUR IMPACT We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team. Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL BUILD Your responsibilities include but are not limited to: * Design and implement end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks * Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance * Build and maintain secure data export services with ML-based threat detection to prevent attack vectors (SQL injection, etc.) using adaptive models rather than manual rules * Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability * Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video) * Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort * Monitor data and ML platforms for performance, reliability, and security; identify and troubleshoot issues proactively * Mentor team members on MLOps expertise and best practices to reduce knowledge silos and build organizational capability LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT YOU'LL BRING Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: * You have at least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience * You have expert-level experience with ML orchestration tools (MLflow, Braintrust, or similar) for batch processing and inference pipelines * You have a strong Site Reliability Engineering (SRE) foundation with focus on operations excellence, reliability, and observability * You have expertise in Python for automation and ML pipeline scripting * You have strong proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes) * You have experience with model evaluation frameworks and golden dataset management * You have a solid understanding of cloud infrastructure (preferably GCP, AWS, or Azure) * You have excellent problem-solving skills with focus on identifying and resolving infrastructure bottlenecks * You are fluent in English It would be fantastic if you: * Have production LLM or custom model deployment experience * Have knowledge of data security and privacy frameworks (GDPR, data anonymization, pseudonymization) * Have experience building and monitoring security services and threat detection systems * Have strong communication and mentoring skills to drive knowledge transfer across teams WHAT WE OFFER * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Case Study Interview  * System Design Interview  * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position (CDI) * Tech stack: Python * Full-time * Nantes & Paris (Hybrid Policy: 2 days remote / week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.