Senior Director of Engineering responsible for managing multiple engineering teams, aligning technical execution with product and business strategy, driving architectural decisions, process improvements, and risk management for scalable cloud platforms.
242k – 292k
Remote5+ YOEEngineering Management
About the role
Responsibilities
Manage multiple teams to influence cross-technical and business decisions, ensuring alignment between engineering execution and company-wide goals.
Expand from domain-specific focus to include cross-functional oversight, aligning multiple teams and setting direction at a higher level, shaping cross-functional strategy.
Align engineering teams with the product roadmap by collaborating with product leadership, proactively identifying dependencies, and ensuring strategic initiatives are successfully executed.
Continuously evaluate and drive process improvements, integrating innovative best practices to enhance efficiency, scalability, and business outcomes.
Lead cross-functional collaboration to meet key business objectives and resolve team obstacles.
Provide technical direction for architectural decisions, ensuring systems are scalable, secure, and optimized for long-term success across internal and customer-facing platforms.
Drive proactive resolution of high-priority technical issues, streamlining escalation and coordination across teams to minimize business impact.
Manage technical risks, including ensuring systems have backup, failover, and disaster recovery plans.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or related field.
5 years of experience, including 5 years with:
Scaling distributed systems and cloud-based platforms.
Cloud technologies including AWS (S3, SNS, SES, API Gateway), Kubernetes, ArgoCD.
Programming in Python, Ruby, Node, PHP, and .Net.
Software development lifecycle, DevOps, security, and compliance best practices.
Planning and executing software platform changes with minimal disruption to clients or ongoing activity.
Queue mechanisms including RabbitMQ, SQS, Kafka.
Analyzing, assessing, and communicating software implementation options according to various IT environments.
Databases including Postgres, DynamoDB, and MySQL.
Tools including Datadog, Logstash, ElasticSearch, Docker, Redis.
Designing and executing plans for software installations.
Using and monitoring software distribution channels, techniques, and auto-recovery tools.
Integrating and communicating across applications, databases, and platforms.
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