Java Lead

The Sr backend developer will work on serverside APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a Lead Software Engineer you will join provide technical leadership to the group responsible for architecting developing and owning the client Marketing Platform. You will collaborate with Engineers Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive multichannel marketing solution that unifies and unlocks data across digital touch points driving return on marketing investment.

This position will be responsible for overseeing the design and development of The client Marketing Platform working on technology that enables access to core of CRM and Data Cloud efforts. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data.

Architect our big data ZMP Attribution platform

Dexterously own balancing of production features Support feature delivery and retirement of technical debt

Excited by building reliable selfhealing services with robust error handling

Experience designing developing debugging and operating resilient distributed systems that run across hundreds of compute nodes in multiple data centers

Capable of driving and delivering thin slices of endtoend functionality on a regular cadence with datadriven feedback loops

10 years of software development experience

At least 35 years of experience as a hands on Lead engineer/technical architect

Strong programming skills (preferably in Java and Python) with specific focus on parallel and multithreaded programming

Experience with multitenant architectures (IaaS PaaS SaaS)

Experience in the Ad Tech domain especially with Attribution.

Experience with building distributed systems

Experience building RESTful webservices Microservices

Experience owning and operating multiple instances of mission critical service

Experience with Agile development methodology and TestDriven Development

Experience building realtime streaming data pipelines that scale horizontally

Experience with workflow management platforms (e.g. Airflow)

Knowledge of Big Data technologies (e.g. Superset HBase Spark Elasticsearch)

Knowledge of technologies used in building real time data pipelines and streaming applications (e.g. Kafka Amazon Kinesis)

Familiar with NoSQL databases such as Aerospike data warehouses such as Snowflake/ ClickHouse/Redshift

Experience with AWS OpenStack or Azure for scaling web and mobile application backend infrastructure

Knowledge of opensource distributed automation frameworks (e.g. Docker Kubernetes Rundeck STAF/STAX Chef Puppet)