Senior Software Engineering Manager

Job Description :

The New York Post is one of Americas most iconic and recognizable news brands delivering bold headlines unforgettable scoops and sharp commentary since 1801. With a legacy built on fearless journalism and a distinctly New York attitude The Post has evolved far beyond its print roots to become a modern media powerhouse.

Today the New York Post Digital Network is one of the most influential voices in the industry reaching over 80 million unique users each month across our expansive ever-growing portfolio. Anchored by and our digital brands deliver must-read breaking news sports entertainment pop culture and lifestyle coverage with the same wit edge and energy that define The Post. With innovation at our core weve built a true multi-platform ecosystem spanning web mobile apps video audio social print TV and commerce. From viral headlines and exclusive stories to original series podcasts and live events were engaging audiences where they are and always on the pulse of whats next.

Were looking for a Senior Software Engineering Manager to join our technology team and lead the systems that power The Posts digital future. This is a hands-on engineering role with core responsibilities around infrastructure services data pipelines personalization systems consumer AI internal AI tooling and custom APIs across AWS and GCP projects.

You are a hands-on technical leader who builds robust high-performance services for websites. You will own the plumbing that enables our newsroom data science marketing and product teams to deliver cutting-edge digital experiences at scale. Youll work alongside technology leadership in a fast-paced newsroom. You will partner with editorial leaders share architectural solutions with other business units in the US UK and Australia and direct your engineering team with experienced tactics and thoughtful strategy.

Please Note: Candidates must be authorized to work in the United States on a permanent basis. Sponsorship including employment visa sponsorship or transfer is not available for this position now or in the future.

Key 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 our consumer websites native mobile apps.

• Work daily with compute services query services storage services and big data services with technologies like Vertex AI Lambdas DynamoDB Cloud Functions S3 Kubernetes Glue and BigQuery.

• Be able to personally troubleshoot an issue from Javascript in a browser down through DNS networking applications containers and operating systems or serverless services and into dependent service tiers.

• Own data ingestion pipelines for real-time and batch processing of large-scale content and event data.

• Understand how to implement and scale custom APIs to support editorial workflows AI personalization analytics and user-facing applications.

• Own the teams 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.

Qualifications:

Must-Haves

• 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 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.

Great-to-Have Experience

• 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)

Note: The New York Post follows a hybrid work model. This position would be expected to be in the office a minimum of 3 days per week (subject to change).

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race color religion sex age national origin protected veteran status disability status or any other protected characteristic. EEO/Disabled/Vets

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability email us at . Please put Reasonable Accommodation in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

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Were committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidates experience skills location and other relevant factors.

For bonus-eligible roles targets are determined based on multiple considerations including market benchmarks and individual contributions.

For benefits-eligible roles we offer a comprehensive and competitive benefits package covering health retirement wellbeing and more along with optional benefits to meet the diverse needs of our employees.