Staff Site Reliability Engineer - Site Experience

LearnUpon

Work Mode: Flex 1+ days per week in our Dublin office Department: Engineering   ABOUT THE COMPANY  LearnUpon partners with over 1,600 organisations globally to unlock the potential of employees, customers & members through learning that’s easy, scalable and focused on results. Read more about life at LearnUpon here.    ABOUT THE TEAM Our Engineering organization is dedicated to building robust, scalable infrastructure that handles world-scale platform demands. As part of the Site Reliability Engineering (SRE) team, we focus on system architecture, absolute performance, and technical innovation. Operating with high ownership and technical expertise, we are responsible for the scale-out of the LearnUpon infrastructure, championing internal self-service tooling, and embedding a culture of observability and shared operational responsibility across all engineering squads.   ABOUT THE OPPORTUNITY As a Staff Site Reliability Engineer, you will be a principal technical leader and a key catalyst for our infrastructure's evolution. In this role, you will take ownership of our core platform resilience, driving the strategy to build out an advanced, cost-effective observability function spanning metrics, logs, and transaction tracking. This opportunity requires a strategic thinker who can design cross-team SLO/SLI frameworks, navigate complex distributed system requirements, and mentor talent to ensure LearnUpon scales efficiently to support our ambitious global goals. In addition, you’ll be responsible for: * Infrastructure Optimization: Identify opportunities to improve and scale our infrastructure for performance, observability, maintainability, and cost, by creating innovative solutions. * Observability Function Strategy: Lead our efforts to build an observability function that incorporates application metrics, application transaction tracking, and event log management. * Resilience & Scaling: Drive the processes to maintain resilient, scalable, and cost-effective infrastructure while working with other Engineering teams to provide solutions that meet their ongoing requirements. * Tooling & Self-Service: Build tools focused on measuring, monitoring, and alerting, with an eye towards self-service in order to promote Engineers’ ownership of observability. * Operational Agility & Support: React quickly to changing customer and business needs and actively participate in the team's on-call rota.  Team Up-Leveling: Mentor junior talent and effectively communicate complex technical ideas to both technical and non-technical peers.   SKILLS & EXPERIENCE  Must-Haves                                                                          * 7+ years of experience in a software or Ops role. * 5+ years of cloud engineering experience, with at least 2 years of experience with AWS. * Experience deploying Microservice environments using containerisation technologies such as Kubernetes and Docker. * Experience designing and implementing Observability tech stacks, championing its benefits to Engineering teams, and managing the associated cost analysis of metrics gathering, effort, and tooling. * Ability to architect the design of SLO/SLI implementations that balance the needs of different teams. * Experience building and supporting large-scale distributed systems that back a consumer app or website with associated requirements of performance, security, and disaster recovery. * Experience with implementing IaC (e.g., CloudFormation, Terraform, etc.), automation tooling (e.g., Puppet, Ansible etc.), and CI/CD (e.g., Jenkins, Travis CI, GitLab, etc.). * Experience using AI tools to streamline tasks and improve efficiencies.   Nice-to-Haves * Experience with database scaling would be a strong plus. * Certification in AWS, any PaaS, and/or related technologies. *If you don’t tick every box but believe this role is a mutually good fit, please don’t hesitate to apply. We’d love to hear from you.   WHY CHOOSE LEARNUPON? From comprehensive rewards and generous time off to meaningful investment in your growth and development, LearnUpon gives you the support, trust, and opportunity to do the most impactful work of your career. Learn more here.    HIRING PROCESS * Qualified applicants may be invited to an initial screening call with a member of our TA Team. * Successful candidates will be invited to a series of practical interviews. * Finally, candidates will have an interview with our CTO. * Successful candidates will be contacted with an offer to join our team.   Note: At LearnUpon, we utilise AI to enhance the speed and quality of our screening and assessment practices, but our hiring decisions are always human.    LearnUpon is an Equal Opportunities Employer.  We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.   Check out our Careers site and Instagram to learn more about working at LearnUpon.   By submitting your application, you agree to LearnUpon's Privacy Policy.

Doctolib

YOUR IMPACT We are looking for a Staff DataOps Engineer to join the Data and AI Platform team. Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization. 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 enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization * Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems * Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability * Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance * Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization 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 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms * You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices * You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery * You are highly skilled in programming with Python, and have a solid understanding of software development principles * You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences It would be fantastic if you: * Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data * Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information * Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment * Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation 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 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 * Case Study * System Design Interview * Behavioral interview with Hiring Manager * 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 * Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt * Full-time * Paris * 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.

Mongodb

THE TEAM MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of either our Dublin or Cork office or remotely in Ireland. THE IDEAL CANDIDATE SHOULD:  * Have 6+ years of experience working on software development and operating distributed systems * Proficiency in Python, Go, or a similar language * Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. * Possess a customer-focused mindset * Value efficiency in processes and operations * Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil * Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market * Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure * Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) RESPONSIBILITIES:  * Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs * Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing * Identify and configure key metrics to detect incidents and quantify service health, availability, and performance * Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure * Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: * Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements * Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure) * Designing secure, multi-tenant runtime environments at scale ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 2263171786