Production Scheduler Enhancement Engineer in Dublin

The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

The Server Programmability team is focused on programming velocity and safety in the core MongoDB Server. We own low-level libraries, runtimes, and tools that allow internal MongoDB developers to develop features in C++ and Rust quickly and safely. We are an agile and small team looking for an experienced engineer to join us. We are looking for someone who is excited about operating systems, development tools, programming languages and low-level C++ libraries. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Candidate Profile 3+ years of experience in Systems programming in C++ or other low-level programming languages Hands-on experience with building production-level code. Experience in C++ is required Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Passion for learning new things in the domains of software engineering, distributed systems, and performance Solid verbal and written communication skills and highly motivated to collaborate with colleagues Position Expectations Understand and improve the current functionality of the MongoDB Server’s Programmability features Lead medium sized projects related to the team’s charter Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Write production-ready code in C++ Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness Investigate the performance characteristics of the server and write performance regression tests Interview candidates for software engineering positions Handle customer escalations Collaborate with stakeholders and engineering teams across the compan

About Toast: Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need. We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked. This is measurable, revenue-attached work. Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked. We're a small team with a large surface area, and we're early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks. You'll ship experiments into production, read the results, and decide what comes next, and you'll build the shared services that make each launch faster than the last. You'll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data. About this roll* Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes. Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild. Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and prov

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

At MongoDB, we're looking for a technically accomplished Solutions Architect who thrives on solving complex problems, understanding how systems work, and helping customers make better architectural decisions. You'll work with established MongoDB customers running production applications, applying hands-on expertise across databases, distributed systems, cloud infrastructure, application architecture, and emerging AI technologies. As part of a globally distributed Solutions Architecture team, you'll engage with customers across multiple EMEA markets rather than being dedicated to a small number of accounts. This regional reach offers exposure to diverse industries, technologies, and architectural challenges, with opportunities to recognize patterns, build trusted technical relationships, and influence decisions across a broad customer landscape. You'll have the autonomy to drive meaningful technical engagements while drawing on the expertise of specialists and colleagues worldwide. We value architects who look beyond the immediate problem, investigate underlying causes, challenge assumptions, and bring informed technical perspectives to customer conversations. You'll help customers optimize what they run today while influencing the architectures and applications they build tomorrow. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You'll Do Optimize Production Architectures: Analyze MongoDB workloads, query execution, indexing, data models, cluster configurations, and resource utilization. Identify performance bottlenecks, scalability constraints, and cost optimization opportunities Engineer for Resilience and Scale: Evaluate distributed architectures, replication, sharding, high availability, backup and recovery, and disaster recovery strategies. Help customers understand technical trade-offs and design for evolving production requirements Think Beyond the Database: Assess how MongoDB interacts with application service

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. What is our Mission Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our mission to expand globally, we are building what it takes to help our customers thrive. You will join a high-impact, high-ownership engineering team solving complex technical challenges. We are looking for leadership that balances technical excellence with a strong customer mindset to drive continuous growth for both the team and our platform. A day in the life (Responsibilities) Lead complex projects within a cross-functional collaborative and supportive environment. Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success. Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices. Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation Advocate for best coding practices, raising the bar for yourself, your team, and the company. Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s) Proven track record of architecting, supporting and debugging large distributed & multi threaded applications. Drive to work across our tech stack and support other engineers in resolving challenging problems Passionate about making users happy and seeing people use your product in the wi

Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of MongoDB’s developer data platform. Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams. Recent projects include an AI Chatbot for cluster creation, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Role Overview Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB’s core values and leadership principles, and are actively working toward a Senior role. Candidate Profile 3+ years of software engineering experience, with fluency in TypeScript/JavaScript, and experience with a modern framework (e.g. React) Proficiency in Java, Go, C++/C, or a similar compiled language is a plus Experience writing database queries, either document-based or relational Experience writing and reviewing technical specs, and leading small projects Interest in A/B testing or product design Expectations Contribute readable and well-tested code to ongoing projects Collaborate closely with product and design partners to implement and iterate on new customer facing features Write scope and technical spec docs for new projects

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec

The Senior Site Reliability Engineer (SRE) is responsible for ensuring the reliability, availability, performance, and operability of production systems across our platforms, by applying software engineering practices to operations, with a focus on automation, observability, and incident response. Responsibilities: Own and improve the reliability, availability, and performance of production services in Google Cloud (GCP). Participate in incident management, including detection, triage, mitigation, escalation, and recovery. Use and improve incident workflows and tooling (e.g., ServiceNow) to ensure clear ownership and timely communication. Design, implement, and operate observability solutions including monitoring, logging, tracing, synthetics, and dashboards (e.g., Splunk Observability, OpenTelemetry ). Reduce operational toil through automation and engineering-led solutions, proactively introducing and driving SRE best practices. Support on-call rotations across multiple time zones, contributing to a sustainable 24/7 support model. Define, monitor, and report SLIs, SLOs, and error budgets for critical services. Drive and be accountable for best-in-class service availability through SRE principles, automation, and proactive reliability engineering. Essential skills and/or Certifications: Bachelor’s degree in Computer Science, Information Technology or related field Strong experience with cloud-native concepts and technologies, with a strong preference for Google Cloud Platform (GCP) and Kubernetes (GKE ). Proven experience with Site Reliability Engineering and production incident management , ideally using platforms such as ServiceNow. Experience with monitoring and observability tools, including metrics, logs, traces, and synthetics (e.g., Splunk Observability, OpenTelemetr

**This is a 6 month internship starting in January 2027** We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their time pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users. What we are looking for in you (qualifications) In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field. Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design. Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language. Have a minimum of one semester remaining in university studies after the internship concludes. Graduation date in, Spring 2028 or Summer 2028. Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested. Company sponsorship may be available for eligible candidates applying for certain roles. What you'll find at MongoDB Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation. Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth. Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development. Work-Life Harmony: Embrace "Bloom for Interns" with access to

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: The Senior Solutions Engineer leads the design and delivery of complex employee technology automations and integrations. The role converts agreed architecture and service needs into reliable production solutions that help teams detect issues earlier, resolve appropriate cases safely, and spend more time on high value employee enablement. This individual owns substantial engineering work from technical design through testing, deployment, monitoring, and operational handover. What you’ll be doing: Solution delivery Lead technical design and implementation for defined complex automation or integration initiatives within agreed architecture and security standards. Build and integrate APIs, workflows, scripts, and platform capabilities across employee technology and support systems. Use endpoint and service signals to support detection, validation, approved remediation, exception handling, and outcome recording. Plan and execute testing, deployment, monitoring, rollback, documentation, and operational handover. Platform engineering and integration Design and implement robust integrations across relevant services such as ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf , Microsoft Intune, Microsoft

The Data Pipeline team, within the MongoDB Observability organization, builds and supports scalable, highly available capabilities for transporting and transforming telemetry data across MongoDB. The team's mission is to provide a unified streaming pipeline that ingests data and processes high-throughput telemetry, enabling the migration of legacy observability solutions within MongoDB. Built on a diskless, Kafka-compatible data streaming platform as the core streaming bus and Apache Flink for real-time transformations and delivery to storage, the platform lives on Kubernetes clusters and enables downstream consumers to access live telemetry for immediate analysis and reliable long-term retention. The main concern of this team is to provide reliable systems with high availability and replay capabilities. About the role We're looking for a Software Engineer 3 to help build and operate this platform. This is an individual contributor role that combines hands-on software development with systems and site reliability engineering. You'll contribute code and ship backend improvements, while also troubleshooting production issues and helping keep the services reliable. If you enjoy both building distributed systems and understanding how they behave in production, this role offers the opportunity to work on high-volume telemetry processing with meaningful operational responsibility. You'll contribute to medium-sized technical projects and grow with support from experienced engineers. We are looking to speak to candidates based in Dublin for our hybrid working model. We're looking for someone who Enjoys working with other engineers, is approachable and curious, and is open to feedback Has experience with Kafka-compatible streaming platforms, Apache Flink, or comparable stream-processing technologies Has experience writing production backend systems in a compiled language, such as Java, Go, C, or C++ Has experience designing and developing scalable distributed services,

About the Team OpenAI’s Business Marketing team helps organisations understand, adopt, and create value with AI. In EMEA, Consumer and Business Marketing plan as connected partners—bringing together audience insight, global narratives, product launches, customer proof, partnerships, field activity, and demand generation into coherent regional programs. We work closely with country and regional GTM teams, Global Integrated Marketing, and Production to build relevance, trust, adoption, and durable commercial impact across a diverse set of markets. About the Role We’re hiring an Integrated Marketing Manager to shape how businesses across EMEA understand, experience, and choose OpenAI. You’ll own end-to-end regional B2B programs and build them side by side with EMEA Consumer Marketing, so audience strategy, market priorities, and campaign sequencing work as one joined-up regional plan. You’ll translate global launches and campaigns into locally relevant market moments, and build EMEA-led programs where regional insight creates a stronger path to impact. The role has a dotted-line relationship to the Global Integrated Marketing lead and partners closely with Production: shaping global work early, recommending budget allocations across global, regional, and local activity, and turning strategy into decision-ready briefs with clear scope, timing, feedback, and approvals. You’ll also partner deeply with Sales and Marketing Operations. This is a hands-on role: you will set the strategy, write the brief, align contributors, unblock delivery, and stay close to performance and learning. In this role, you will: Own the EMEA B2B integrated marketing strategy and quarterly plan, working side by side with Consumer Marketing to align priority audiences, markets, launches, campaign sequencing, channels, and measurement. Turn audience insight, cultural and competitive context, product truth, customer proof, and business priorities into sharp regional strategies and creative briefs tha

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospect

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Software Engineering Overview Consumer Data Management (CDM) enables secure, compliant, and scalable consumer identity, consent, preference, and engagement capabilities across Mastercard’s ecosystem. We are looking for a Director, Software Engineering based in Dublin to lead engineering teams responsible for building, modernizing, and operating CDM platform capabilities. This role is focused on strong engineering leadership, AI-enabled PDLC/SDLC practices, modern delivery discipline, and building a flexible organization that can scale across platform priorities with quality, resilience, and security. Role • Lead engineering teams that design, build, test, release, and operate scalable, secure, and resilient CDM platform capabilities. • Set technical direction, guide architecture decisions, and translate product priorities into clear engineering outcomes. • Raise the quality bar across design, code quality, testing, performance, secure development, release readiness, and production support. AI-enabled Engineering & Modern Delivery • Drive modern PDLC/SDLC practices across planning, design, build, test, deploy, operate, and continuous improvement. • Apply AI responsibly across the engineering lifecycle, including analysis, design, coding, testing, documentation, operations, and producti