Senior Software Engineering Manager
About The Position
The New York Post is seeking a Senior Software Engineering Manager to lead the systems powering its digital future. This is a hands-on engineering role focused on infrastructure services, data pipelines, personalization systems, consumer AI, internal AI tooling, and custom APIs across AWS and GCP. The ideal candidate is a technical leader who builds robust, high-performance services for websites and owns the underlying infrastructure that supports newsroom, data science, marketing, and product teams. This role involves working closely with technology leadership, partnering with editorial leaders, sharing architectural solutions globally, and directing an engineering team with strategic tactics. The position operates within a fast-paced newsroom environment.
Requirements
- MS or BS in computer science, or related field.
- 10+ years of professional software engineering experience.
- 5+ years experience leading engineering teams.
- Agile best practices.
- Proficiency in modern programming languages and frameworks such as Python, Node.js, or Go.
- Solid familiarity of common AWS and/or GCP services.
- Robust experience with REST and GraphQL APIs, authentication/authorization, and API best practices.
- Firm grasp of the tools of the trade including AI tools, IDEs, Git, JIRA, and agile methodologies.
- Comfort with code reviews, unit tests, QA and UAT processes, and knowledge of end-to-end testing frameworks.
- Strong troubleshooting skills.
- Attention to detail, thoroughness, a proactive approach to problem-solving, and a comfort in diving in and learning things from scratch.
- Highly organized with the ability to manage multiple priorities in a fast-paced environment.
Nice To Haves
- Familiarity with content-management systems, media, news, publishing, video technology, ad technology, or other high-traffic consumer-facing industries.
- Hands-on experience with generative-AI models, LLM prompting, and/or machine learning.
- Personalization and recommendation systems.
- Experience building and deploying data pipelines (e.g., Airflow, Dataflow, Glue, or similar tools).
- Comfort with Linux administration, shell scripting, ssh, crontabs, etc.
- Experience with monitoring, logging, dashboard, and alarming tools (e.g., CloudWatch, Datadog, Splunk, etc.).
- Knowledge of data warehouse technologies (BigQuery, Snowflake, Redshift, etc.).
- Understanding of CI/CD workflows and containerization (Docker, Kubernetes a plus).
Responsibilities
- Manage and support a small team of high-achieving agile software and data engineers.
- Design, build, and operate cloud-based APIs supporting specialized needs of consumer websites and native mobile apps.
- Work daily with compute services, query services, storage services, and big data services using technologies like Vertex AI, Lambdas, DynamoDB, Cloud Functions, S3, Kubernetes, Glue, and BigQuery.
- Troubleshoot issues from the browser down through DNS, networking, applications, containers, operating systems, serverless services, and dependent service tiers.
- Own data ingestion pipelines for real-time and batch processing of large-scale content and event data.
- Implement and scale custom APIs to support editorial workflows, AI, personalization, analytics, and user-facing applications.
- Own the team’s codebases, pull requests, testing, maintenance, and release process.
- Partner with product, editorial, and data science teams to deliver infrastructure and services that meet business needs.
- Monitor, optimize, and improve the reliability, security, and cost efficiency of cloud-based systems.
- Communicate and present a vision for both technical and non-technical audiences.
- Organize architecture discussions.
- Run and/or supervise agile sprint ceremonies.
Benefits
- Comprehensive and competitive benefits package covering health, retirement, wellbeing, and more.
- Optional benefits to meet diverse needs.
- Bonus eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
