Senior Infrastructure Software Engineer

Job Description

Job Title
Senior Infrastructure Software Engineer

About The Position | Major goals and objectives and location requirements
We are seeking a Senior or Lead Infrastructure Software Engineer to design, develop, and automate scalable microservices and IT workflows in the cloud (AWS and/or GCP). In this role, you will collaborate closely with platform, IT networking, system administration and operation support, and IT Engineering applications teams to build robust solutions, streamline operations, and continuously improve our infrastructure tooling. You'll leverage modern programming languages, Infrastructure as Code (IaC), and cloud-native services to ensure our environments are highly available, secure, and cost-optimized.

Key Responsibilities
• Microservices Development
• Architect, implement, and maintain microservices and supporting APIs that facilitate infrastructure automation and operational workflows.
• Collaborate with application teams to integrate, scale, and optimize cloud-native services using container platforms, e.g. Kubernetes, EKS, ECS, GKE.
• Infrastructure Automation
• Develop and maintain Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible) for provisioning, configuring, and managing cloud and on-prem resources.
• Automate CI/CD pipelines, ensuring reliable code deployment and environment consistency.
• Cloud Platform Engineering
• Leverage AWS and/or GCP services, e.g. AWS EC2, EKS, and Lambda, GCP Cloud Functions, Compute Engine, and GKE, to architect secure, scalable, and cost-effective environments.
• Implement best practices for networking, storage, and identity such as tagging.
• Workflow Orchestration & Tooling
• Build internal tools, scripts, and services that enhance developer productivity and streamline operations.
• Integrate and orchestrate workflows across cloud platforms, third-party APIs, monitoring systems, and custom automation frameworks.
• Performance, Reliability & Security
• Implement best practices for observability (logging, monitoring, alerting) across distributed microservices and cloud infrastructure.
• Collaborate with other DevOps teams to ensure high availability, performance tuning, and fault tolerance in production environments.
• Adhere to security compliance requirements and industry standards, e.g. from the #info-security team, in design and development.
• Collaboration & Mentorship
• Work closely with cross-functional teams (IT Engineering and applications) to share knowledge, drive innovation, and maintain coding standards.
• Provide technical leadership and mentor junior engineers, guiding them on best practices in cloud development and infrastructure automation.
• Continuous Improvement
• Keep abreast of emerging technologies, tools, and industry trends in cloud, containerization, DevOps, and microservices.
• Advocate for and implement process improvements, encouraging a culture of experimentation, learning, and rapid iteration.
In-office Expectations: This position initially is hybrid in-office, with the ability to work remotely for up to 2 days per week. The office is located conveniently in the World Trade Center of New York City.
About The Team: | The Team and/or Brand.
Dotdash Meredith's Enterprise IT Infrastructure Engineering team comprises three groups, led by the Director of IT Cloud & Infrastructure Engineering. Our Cloud Operations & Automation team staffed with cloud and DevOps engineers who facilitate the migration of applications to AWS using the 7 R methodology, manage our EKS clusters, EC2, Lamda, CI/CD toolchain, automate workflows and create CI/CD pipelines, and contribute to our Cloud Center of Excellence. The second group is an internal infrastructure team that designs and supports commonly held infrastructure components including, Nutanix, Rubric, NetApp, Hitachi, Bluecat, Linux, Windows Server among others and our third team, Network Engineering who support all aspects of our multifaceted network infrastructure and ip4v communications for the global enterprise.
About The Positions Contributions:
Weight %
Accountabilities, Actions and Expected Measurable Results
30%
Microservice development - Develop and support containerized microservices and APIs. Integrate microservices into existing infrastructure environments. Deploy and run microservices according to SLOs/SLAs.
25%
Automation & orchestration - Automate provisioning, configuration, and maintenance tasks across AWS and GCP. Establish and maintain CI/CD pipelines for infrastructure and application deployments. Implement effective monitoring, logging, and alerting. Expected to achieve faster and more frequent releases and reduced MTTR.
20%
Platform infrastructure development - Architect secure, scalable AWS & GCP environments.
Develop and manage Terraform and Ansible scripts for IaC and configuration as code. Expected reduced config errors, faster provisioning time.
10%
Performance & reliability - Maintain high availability and responsiveness of IT Engineering platform services. Define and track KPIs/SLOs for critical systems. Perform load tests, capacity assessments, and ongoing performance tuning. Set up actionable alerts for CPU, memory, and network utilization.
Expected high availability of platform services and fewer recurring performance issues.
10%
Technical leadership and mentoring - lead platform PoCs, team training, workshops. Improved team skills, successful PoCs, positive feedback.
5%
Collaboration and stakeholder engagement - responsible for cross-functional alignment, documentation, updates. Resulted in high satisfaction, on-time projects, minimized rework.
The Role's Minimum Qualifications and Job Requirements

Education:
• Bachelor's degree in software engineering, MIS, Computer Science or relevant work experience

Experience:
• 5+ years designing and developing software solutions in a cloud environment (AWS and/or GCP).
• Demonstrated experience building and deploying microservices, e.g. REST APIs, gRPC.
• Hands-on automation of infrastructure using IaC tools (Terraform, Ansible).
• CI/CD pipeline design and implementation, e.g. Jenkins, CNCF Argo.
• Experience with platform observability tools, e.g. Prometheus, Grafana, ELK stack.
Specific Knowledge, Skills, Certifications and Abilities:
• Proficiency in one or more programming languages, e.g. Golang, Python, Java, for microservices and automation scripts.
• Familiarity with containerization (Docker) and container orchestration (Kubernetes, EKS, ECS, GKE).
• In-depth knowledge of AWS/GCP core cloud services (Compute, Networking, Storage, Security).
• Experience with serverless technologies (Lambda, Cloud Functions) a plus.
• Understanding of IAM, VPC security, encryption, and compliance frameworks.
• Ability to follow secure coding practices and incorporate security checks into pipelines.
• Strong communication skills to collaborate with distributed teams and cross-functional stakeholders.
• Ability to mentor, lead design discussions, and handle complex problem-solving with minimal oversight.
% Travel Required (Approximate): less than 10%
It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing ddm.hr@dotdashmdp.com.

Pay Range
Salary: New York: $140,000 - $160,000

Jobcode: Reference SBJ-neenjk-216-73-216-50-42 in your application.