MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are interested in working out of our Dublin office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed. Once considered ramped, they will transition to a permanent (Tuesday to Saturday) 9am-6pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Cool things you’ll doYou'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you needWe consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted. The ideal candidates should have strong technical experience in one (or more) of the following areas - Systems administration - Distributed systems - Network Administration - Database architecture and administration - Application Architecture - Data architecture and design - Performance tuning and benchmarking - Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl If you have an operations background, we prefer experience administering large-scale production environments, including hardware, operating systems (e.g. Linux, Windows), networks (including firewalls and load balancers), as well as cloud-based resources (e.g. AWS, Azure, Google Cloud Platform). It’s crucial for every candidate that they can check off all of these boxes - Excellent communication skills, both written and verbal - Genuine desire to help people - Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troubleshooting skills - Ability to think on your feet, remain calm under pressure and solve problems in real-time - Desire and ability to rapidly learn a wide variety of new technical skills - Strong teamwork: willingness and ability to get help from team members when required, and the good judgment to know when to seek help About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 1273390465

Role Description We are seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern. Key Responsibilities - Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services. - Lead incident response and resolution for production issues, ensuring high-quality post-incident reviews. - Design and implement comprehensive monitoring, logging, and tracing strategies using tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar. - Build and maintain robust on-call processes, runbooks, and escalation paths. - Automate operational toil by writing production-grade tooling in Python, Go, Bash, or similar languages. - Architect and operate large-scale Kubernetes clusters and container-based workloads. - Design CI/CD pipelines that promote safe, frequent, and observable releases. - Lead capacity planning and performance engineering activities. - Partner closely with application development teams to embed reliability practices early in design. - Strengthen the platform’s resiliency through chaos engineering and fault injection. - Drive continuous improvement of security posture in collaboration with security teams. - Contribute to the technical roadmap for reliability tooling and observability platforms. - Mentor engineers across the organization on SRE practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems. - Strong programming skills in at least one of Python, Go, or Java. - Deep, hands-on experience operating Linux at scale. - Production experience operating Kubernetes and container-based workloads. - Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents. - Hands-on experience designing and operating CI/CD pipelines. - Solid understanding of distributed system design. - Demonstrated experience leading incident response and conducting effective post-incident reviews. - Excellent communication and documentation skills. Preferred Qualifications - Experience defining and operationalizing SLOs and error budgets in real production environments. - Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus. - Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). - Background in capacity planning, performance engineering, or large-scale load testing. - Familiarity with service mesh technologies such as Istio, Linkerd, or Consul. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

• Diseñar, desarrollar e implementar soluciones avanzadas de IA/ML y agentes en Google Cloud Platform (GCP). • Colaborar en un proyecto internacional en modalidad full-remote.

• Contributing to ComboCurve’s client retention goals by driving product adoption and expanding usage through proactive, regularly scheduled touchpoints. • Serving as the primary owner of the consultative journey for an assigned portfolio of customers. • Advising clients on industry best practices, reservoir engineering workflows, and how to maximize value using ComboCurve. • Identifying opportunities for user growth and account expansion within existing client organizations. • Developing, executing, and maintaining strategic success plans tailored to each allocated customer. • Acting as a trusted advisor and thought leader within the oil and gas industry by contributing to relevant content, discussions, and insights. • Serving as the source of truth for all facets of your customer base, including technical workflows, business objectives, and account strategy. • Driving client adoption by aligning ComboCurve solutions with evolving business needs and operational goals. • Supporting customer inquiries through established support processes and ensuring timely resolution. • Advocating for customers internally by providing strategic feedback to Product, Sales, and Leadership teams to continuously improve the customer experience. • Travel intermittently for on-site customer engagements and trade shows.