As Time Inc. continues to invest in streamlining their business and improving our software practices and efficiencies across all of our brands, we are seeking a capable and talented Sr. Software Engineer to help define and build Time Inc.'s next-generation data platform. This individual will participate in the ideation of and delivery of key aspects of our new architecture ranging from data ingestion, consumer behavioral insights, machine learning, data governance and customer privacy. The scope of this role is all aspects of data management for Time Inc. and its brands.
This role will involve software development of key data platform modules for Time Inc.'s next-generation data platform ecosystem. Responsibilities for engineering will span all aspects of data, including but not limited to: data ingestion, governance, machine learning, analytics and insights and personalization systems. You will contribute to the ecosystem's design and architecture, and be responsible for detailed design of full vertical modules within the data platform. This role involves both coaching/mentoring of other engineers as well as significant hands-on engineering. Strong test-driven development skills and incremental and rapid iteration in your development ethic is critical for this fast-moving and key initiative for Time Inc. Proven track-record of developing large-scale systems using service-oriented architecture and cloud technologies is a must as that will be part of your routine role. Our efforts will include both individual system development as well as assessment and integration of third-party software products. Knowledge and experience utilizing standardized APIs and specifications are preferred. Knowledge in the data space around data management, ingestion, and learning is a must. Experience with data related cloud technologies such as AWS Redshift, S3, Kinesis, Lambda, RDS, Aurora, EMR are strongly desired as well as experience with data science technologies such as neo4j and R.
Experience and Requirements
Master's Degree in Computer Science or related field with 1+ year relevant experience; or Bachelor’s Degree in Computer Science or related field with 5+ years relevant experience
Demonstrated proficiency with Java, C++, or equivalent object-oriented programming language; or demonstrated ability to quickly learn new programming languages and tools
Experience working in Python, NodeJS or similar Lambda-supported languages
Object-oriented analysis and design skills
Problem solving and analytical abilities
Understanding of algorithmic design and complexity analysis
Strong verbal and written communication skills and an ability to work in a team environment
Experience building high-performance, highly-available, and scalable distributed systems
Proven ability to identify and mitigate the root cause of issues
Demonstrated skill and passion for operational excellence