DataOps Engineer

NICE Actimize
Philippines - ManilaPosted 25 April 2026

Job Description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? DataOps at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. How will you make an impact? Release deployment operations Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines Respond to platform alerts, investigate issues, and keep stakeholders informed Observability support Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies Keep runbooks current and contribute to post-incident reviews Support data engineering teams with deployment questions and environment issues Improvement automation Identify and prototype improvements to DataOps processes through scripting and automation Build and maintain tooling that reduces toil and improves the reliability of our release pipeline Day-to-Day Tech Snowflake AWS (S3, IAM, CloudWatch, Lambda) Jenkins · GitHub Actions MSK / Kafka Apache Airflow Python ServiceNow Jira Have you got what it takes? 3+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions Python scripting for operational automation Experience working within a formal change management process: CRs, maintenance windows, approvals Clear communicator when things break — you keep stakeholders informed without being asked Comfortable working async across time zones in a distributed team Familiar with AI tools and comfortable using them in day-to-day work Nice to Have Apache Airflow — DAG monitoring and operational support MSK / Kafka operational experience Infrastructure as Code experience — Terraform or similar Prometheus Grafana for monitoring and dashboards This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.​ Requisition ID: 10731 Reporting into: Manager, Engineering, Data CX Role Type: Individual Contributor What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the ... (truncated, view full listing at source)
Apply Now

Direct link to company career page

AI Resume Fit Check

See exactly which skills you match and which are missing before you apply. Free, instant, no spam.

Check my resume fit

Free · No credit card

Share