Principal Software Engineer
Ping Identity14 days ago
Remote, IsraelStaff+
Responsibilities
- Architect, build, and operate scalable ML platforms, tools, and services for model promotion, evaluation, deployment, and monitoring.
- Design and run offline and online feature stores with feature reuse, lineage, governance, and training-serving consistency.
- Own real-time ML systems, including streaming feature pipelines and sub-second model serving in production.
- Build automated data pipelines using Python, SQL, Airflow, and Spark for ML training, inference, and analytics.
- Drive end-to-end MLOps with model CI/CD, Docker/Kubernetes deployment, monitoring, and model lifecycle management.
- Create tools and utilities that streamline data-science workflows and improve model training and deployment.
- Architect and manage distributed big-data pipelines and cloud-native data platforms for high availability and performance.
- Shape system architecture and technical direction, mentor engineers, and collaborate with Data Science, SRE, and Product teams.
Requirements
- 6+ years of experience as an ML Engineer building ML platforms, data infrastructure, and large-scale distributed systems.
- Expert-level programming skills in Python and SQL; Java is a plus.
- Deep hands-on experience with Spark or similar distributed computing frameworks.
- Production experience with Airflow, MLflow, Kubernetes, and CI/CD pipelines.
- Hands-on experience with offline and online feature stores, real-time ML streaming data, and low-latency model serving.
- Experience with public cloud platforms, preferably AWS, including managed data and ML services such as AWS SageMaker.
- Experience developing monitoring tools and utilities for data scientists and improving model training and deployment processes.
- Strong system-level perspective, low-level implementation ability, problem-solving skills, communication, and cross-team collaboration.
- Preferred experience with Apache Iceberg, dbt, OpenMetadata, data governance and lineage, multi-account cloud ML infrastructure, deep learning, LLMs, reinforcement learning, and PyTorch.
- A preferred M.Sc. in an applied science field.
Benefits
- Hybrid work arrangement in Tel Aviv, Israel.
- Generous paid time off and holiday schedule.
- Parental leave.
- Progressive healthcare options.
- Retirement programs.
- Education reimbursement opportunity.
- Commuter offset for specific locations.
- Employee Resource Groups, team bonding events, volunteering initiatives, and competitive benefits and perks.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSdbtDockerJavaKubernetesMLflowPythonPyTorchRedisSQL
Categories
Data EngineeringML Engineering
About Ping Identity
Ping Identity builds enterprise identity and access management software—SSO, MFA, customer IAM, API security, and federation—delivered across cloud, hybrid, and on-premises deployments. It sells subscriptions and services to large organizations to secure workforce and customer logins and integrate with standards like SAML, OAuth and OpenID Connect. Founded in 2002 and headquartered in Denver, it is privately held under Thoma Bravo and serves over half of the Fortune 100.