Senior Software Engineer

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

We have an exciting new opportunity for a Senior Software Engineer to join the Journey Analyzer team within Genesys's Journey Management platform.

Journey Management enables organizations to measure, monitor, and orchestrate exceptional customer journeys.

Whether it's small companies or Fortune 500 blue chips, each benefits from the unique insight our platform provides into their customers' journeys.

What will you be doing?

You will be working with colleagues across 3 continents who share a passion for building the best software, the best team, and the best customer experience.

Come work with data at true scale. You'll solve the kinds of problems that only occur at this volume.

As a Senior Software Engineer, You will

• Own the technical direction of the team's backend services, making and documenting architecture decisions that span multiple services and teams.

• Design and evolve our ETL platform

• Improve the reliability, performance, and cost efficiency of large-scale batch processing (distributed-compute tuning, partitioning, safety limits) and the runtime API (caching, response-size handling).

• Drive our observability strategy , including the migration to modern, vendor-neutral tracing, metrics, and instrumentation across the domain.

• Contribute to related backend initiatives across the ecosystem, including AI/LLM-assisted Journey Planner built on our Copilot agent platform.

• Set and raise engineering standards — reliability, testing, CI/CD — and mentor engineers across the team.

• Partner with Product, SRE, and peer engineering teams to balance delivery, platform health, and technical debt.

• Take accountability for operational health: regular operations reviews, incident/on-call ownership, and reliability improvements.

You'll join a team with a start-up feel and the scale of an industry leader, helping build and deliver our hugely ambitious growth plans.

What do you need to be successful?

• Degree in Computer Science or Computer Engineering, or equivalent experience

• 5+ years of professional software engineering experience , with a strong track record of technical leadership beyond a single team (setting architecture, mentoring, driving standards)

• Deep, hands-on backend expertise in Python (our primary backend language); solid experience in at least one other language such as Java is a strong plus, as our flow-configuration services are Java-based

• Strong AWS experience , ideally serverless — functions-as-a-service, managed NoSQL, object storage, and managed ETL/compute services; experience operating services in production at scale

• Experience designing and building large-scale data / batch-processing pipelines with a distributed compute framework (e.g. Apache Spark / PySpark or equivalent)

• Proven experience designing and implementing microservices and APIs , including API contracts and versioning across team boundaries

• Solid understanding of Linux and distributed-systems fundamentals

• Experience with observability at scale — distributed tracing, metrics, dashboards, and alerting

• Strong ownership mindset and attention to detail — a tendency to double-check your work, validate parity, and preserve reliability during change

• Readiness to learn and adopt new technologies, including AI/LLM-based systems

• Proficient English communication skills, verbal and written, with the ability to influence and align stakeholders across geographies

Additionally, experience in the following is welcomed

• Hands-on with infrastructure-as-code (e.g. Terraform), CI/CD tooling (e.g. Jenkins, GitHub Actions), and serverless deployment frameworks

• Strong understanding of CI/CD processes and pipeline ownership

• Experience building or integrating AI / LLM-powered features (agent design, prompt engineering, evaluations)

• Experience with big-data / data-lake technologies (e.g. columnar/table formats, data-lake query engines)

• Experience with search technologies (e.g. Elasticsearch / OpenSearch)

• Cost-optimization and performance-tuning experience for large-scale cloud and batch workloads

• Exposed to coding tools (like Kiro/Claude) is preferable

LI-Hybrid

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Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.

• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.

• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.

• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.

• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect

• Our Talent Acquisition team reviews your application with the hiring team.

• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom intervi