Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
The Genesys Digital & AI group builds the innovations that power customer experiences for 8,000+ organisations worldwide.
As a Principal Engineer you’ll design and evolve the backend platforms that make our Agentic AI products possible. You’ll own the technical strategy for core services, data, and runtime foundations; partner closely with Agentic AI specialists; and lead multiple teams to deliver secure, reliable, low‑latency systems at global scale.
Location: This role is open to candidates who wish to work in a hybrid capacity from our Galway office or remotely within Ireland. Please note that the team collaborates regularly in our Galway office, and remote employees will be expected to attend in person a minimum of 2–3 times per month.
What You Will Do:
Own the multi‑year backend strategy. Define north‑star architectures for APIs, data flows, events/streams, storage, consistency, and multi‑tenant isolation that underpin Agentic AI workloads.
Standardise service templates, libraries, REST/event patterns, schema versioning, automated testing, and documentation that accelerates multiple teams.
Design for scale, reliability, and cost. Drive SLOs/SLA design, capacity planning, graceful degradation, performance engineering, and cost/stewardship for traffic and LLM‑adjacent workloads.
Comply with Data platform & governance rules. Shape ingestion, transformation and cataloguing; ensure lineage, retention, residency and privacy‑by‑design; make data easy to use and hard to misuse.
Ensure operational excellence. Lead CI/CD, IaC, progressive delivery, runtime hardening, observability and on‑call practices; turn incidents into systemic fixes.
Put security first. Champion threat modelling, least‑privilege IAM, secrets management, API authz/authn, and compliance controls.
Partner with AI specialists. Co‑design interfaces, contracts and back‑pressure strategies for agents, RAG, tool calling and eval loops; hide complexity behind stable, well‑documented APIs.
Lead major programmes. Cross‑team migrations, region expansion, service architecture, eventing upgrades, tech debt reduction and deprecations.
Influence through writing and reviews. Review PR’s, give constructive feedback, create/update high level architecture docs; communicate decision trade‑offs clearly to engineers, PMs and execs.
Multiply talent. Coach Staff Engineers and tech leads; raise the bar on design, code quality and operational maturity across multiple teams.
What We're Looking For:
Bachelor’s or Master’s in Computer Science or related disciplines.
8+ years building and operating backend / platform software, with evidence of technical leadership and impact across teams.
Deep skill in Java and/or Python, and strong fundamentals in algorithms, data structures and distributed-systems design.
Proven experience with event‑driven and service‑oriented architectures (e.g., Kafka/Kinesis/SQS; REST APIs), schema evolution, idempotency, and backwards‑compatible APIs.
Expertise running on AWS at scale (IAM, networking, DynamoDB/RDS, S3, ECS/serverless, CloudWatch/OpenTelemetry) and modern DevOps/SRE (CI/CD, IaC, automated testing, runbooks).
Track record of setting standards and unblocking/aligning multiple teams via influence; excellent communicator who maps technical choices to business outcomes.
Evidence of performance and cost optimisation in latency‑sensitive, high‑throughput systems (profiling, caching, load shedding, rate limiting, async pipelines).
Comfortable partnering with AI/ML teams and supporting LLM‑adjacent systems (feature stores, vector stores, evaluation harnesses, safety/guardrails) even if you’re not the model expert.
Pragmatism, bias to action, and a growth mindset.
Desirable Experience or Appetite to Learn:
Analytics and data science frameworks/technologies, e.g. Apache Spark, Pandas.
Machine learning concepts and frameworks.
LLM systems concepts (tooling, retrieval, evals) and cost/latency trade‑offs.
Security, privacy and governance of enterprise software.
Our Benefits:
At Genesys, we’re committed to supporting your well-being, growth, and work–life balance. Our comprehensive benefits package includes:
Flexible work options – Choose what works for you with hybrid schedules, work-from-home flexibility, and the option to collaborate onsite in our state-of-the-art Galway office.
Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement.
Competitive pension scheme – Invest in your future with an excellent employer-supported pension plan.
Annual bonus program – Be rewarded for your impact and contributions.
Comprehensive health coverage – Including private health insurance, access to company dental plan, and wellness supports.
Financial protection – Enjoy Income Protection and Life Assurance, along with access to dedicated financial planning resources to help you make confident, informed decisions about your future.
Family-friendly policies – Generous paid maternity and paternity
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About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
