Top C Jobs in Dublin

Design and build observability systems for MongoDB. Lead architecture, improve code quality, mentor engineers, and manage projects.

Design, build, and operate MongoDB's internal and external observability stack (metrics, logs, traces, alerts). Lead architecture and implementation for scalable, high-performance distributed systems; mentor engineers; handle production escalations; collaborate with SWE, SRE, and Product teams; own code quality, testing, and on-call responsibilities; drive long-term roadmap for observability infrastructure.

Provide deep technical support to customers and partners for MongoDB deployments: troubleshoot architecture, performance, recovery, and security; advise on best practices; collaborate with product and engineering teams; contribute to tooling and diagnostics; mentor new engineers and work closely with ISV partners to ensure joint customer success.

Provide advanced technical support to large MongoDB customers, resolving architecture, performance, recovery, security, database, cloud, and infrastructure issues. Advise customers on best practices for operating MongoDB at scale, collaborate with product and development teams, and build internal support tools for diagnostics, benchmarking, and performance analysis. The role requires strong troubleshooting, communication, customer service, teamwork, and the ability to learn quickly.

Support sales and delivery of legacy-to-MongoDB modernization engagements: run technical workshops, design scalable cloud/on‑prem solutions, build and demo containerized applications, advise account strategy, and travel to customer sites.

Design, deploy, and operate production ML models and MLOps workflows (real-time and batch). Partner with ML scientists and studios to integrate ML services into games, build CI/CD, model registry/feature store practices, monitor drift, prototype ML/GenAI solutions, and mentor engineering teams.

Analyzes adversary intrusions, malware, files, and events to create and improve machine-learning security detections. Reviews false positives and negatives, investigates emerging threats, analyzes data at scale, and coordinates with internal teams on product and service improvements. The role also addresses customer questions about detection-model efficacy and may require on-call coverage several times annually.

Mid-level software engineer contributing to customer-facing Atlas Growth features. Build readable, well-tested TypeScript/React code, write database queries, author technical specs, lead small projects, collaborate with product and design, participate in reviews, triage support, and join on-call rotation.

Technical Services Engineer at MongoDB will help customers solve complex database problems, conduct software development for support tools, and mentor new team members while working on database configurations and performance.

Provide expert, customer-facing technical support for MongoDB ecosystems (server, drivers, cloud, infrastructure). Diagnose and resolve architecture, performance, recovery, security, and scalability issues; build support tools; mentor new hires; liaise with product and engineering on customer needs.

Lead architecture and implementation of mission-critical Atlas SaaS data platform components. Design and deliver large-scale, latency-sensitive distributed systems, write production database code, resolve production escalations, mentor engineers, define technical strategy and standards, and drive AI engineering initiatives across the Atlas Core Data Services organization.

Provide expert technical support and advisory to large MongoDB customers on architecture, performance, recovery, and security. Advocate customer needs to product teams, contribute to internal tooling and diagnostics, and operate across the MongoDB ecosystem including Atlas and Cloud Manager.

Develop and improve MongoDB's distributed query execution engine by implementing and testing query execution algorithms, enhancing query language features and diagnostics, tuning performance, fixing bugs, participating in code reviews, and collaborating with peers to deliver robust, production-quality C++ systems.

Design and own mixed-signal PCBs and embedded firmware for real-time control of bioreactors. Build control algorithms (PID, system identification), sensor integration, power and communications networks, test fixtures, and validation to enable autonomous, scalable biomanufacturing across a fleet.

Own design and delivery of reactor electronics and control: build mixed-signal PCBs, embedded firmware, real-time control and automated scale-up logic, integrate sensors/actuators and communications, validate and bring up systems for autonomous biomanufacturing, and create manufacturable, safety-conscious hardware and control stacks.

Provide technical solutions for hardware, software, and manufacturing issues across product development. Create documentation, training, and proofs-of-concept. Collaborate with quality, sales, and business units to improve product quality and resolve client issues, and support clients on embedded and connectivity technologies from concept through production.

Lead and manage engineering teams building Copilot-enabled enterprise applications on Dynamics 365, Azure, and Power Platform. Guide design, dependency identification, scalability, performance, and on-call reliability; coordinate releases and stakeholder requirements while driving high-quality, maintainable code and product outcomes.

Support the All-Island Trading Team with market analysis, bidding and optimisation for thermal generation assets across I-SEM. Develop and maintain analytical and bidding tools, perform gas/carbon/long-term market analysis, prepare reports, and collaborate with trading, commercial and other internal teams to maximise portfolio margins and manage risk.

Support the All-Island Trading Team by performing market analysis, developing bidding and optimisation tools, and executing gas, carbon and long-term market strategies to maximise trading margins across forward, day-ahead, intraday and real-time horizons. Produce reports, competitor analysis and collaborate with Trading, Commercial, Asset Development and Finance stakeholders.

Leads and grows a software engineering team responsible for Windows application compatibility infrastructure. Sets technical strategy, roadmap, and execution priorities; ensures tools discover regressions before release; advances automation, AI-assisted testing, CI/CD, and incident response. Partners globally across Windows organizations, represents team outcomes to leadership, and develops an inclusive, high-performing engineering culture through hiring, coaching, and technical leadership.

Lead a team of 8-10 engineers to design, build, and operate a large-scale PKI and authorization platform. Provide hands-on technical leadership, mentor and hire engineers, ensure security, resiliency, and reliability, and partner with product and cross-team stakeholders.

Design, implement, and operate large-scale identity and anti-fraud systems. Build detections and blocking mechanisms for signup and telecom attacks, develop ML models and distributed platforms, deliver end-to-end features, ensure reliability and test coverage, participate in on-call rotation, and collaborate across engineering, product, and partner teams.

Develop and maintain high-scale authentication and authorization components and SDKs, primarily in .NET. Collaborate with product, platform, leadership, and service teams to support secure integrations and operational excellence. Participate in code reviews and architecture discussions, use data-driven insights, improve authentication libraries, and apply AI-assisted development practices. The role emphasizes security, resilience, memory efficiency, performance, extensibility, and telemetry across distributed services.

Develop and implement quantum-control software and tools, model realistic quantum circuits, write and integrate code for product features, mentor junior scientists, document and present results, and contribute to IP and research publications.

Lead and mentor a team of software engineers building engineering and data products for Windows. Set technical direction, drive AI/big-data solutions, partner across product and program teams, and promote engineering excellence, reliability, and strong user outcomes.