Manager, Engineering

Summary

Join Smarsh's Workload Management team as a leader and mentor for a team of engineers. You will drive the design and implementation of scalable, secure, and high-availability data solutions, collaborating with cross-functional teams. Responsibilities include managing team capacity, prioritizing tasks, ensuring timely project delivery, and participating in strategic planning. You will foster a culture of continuous improvement and automation, ensuring adherence to best practices in security and reliability. The role also involves supporting the team during on-call rotations and critical incidents. This position requires a Bachelor's degree in a related field or equivalent experience, along with at least 2 years of management experience and strong expertise in cloud platforms and programming languages.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• At least 2 years in a management position
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and their associated data services
• Strong experience in at least one programming language (e.g. Python, Java, Go)
• Familiarity with IaC/IfC tools (e.g. Terraform)
• Experience with containerization and orchestration technologies, particularly Kubernetes
• Proven ability to lead and mentor engineering teams, fostering collaboration and growth
• Strong problem-solving skills and attention to detail
• Strong communication skills and ability to work effectively with stakeholders across the organization
• Experience managing teams responsible for both development and production support
• Proven ability to lead through change and guide teams through ambiguity
• Experience running production workloads at scale on AWS

Responsibilities

• Lead and mentor a team of engineers responsible for managing Smarsh’s data store clusters and associated infrastructure
• Drive the design and implementation of scalable, secure, and high-availability solutions for MongoDB and other data stores
• Collaborate with cross-functional teams to align engineering efforts with business objectives
• Foster a culture of continuous improvement, automation, and innovation within the team
• Ensure adherence to best practices in security, reliability, and performance across our data systems
• Collaborating with Technical Product Management, manage team capacity, prioritize tasks, and ensure timely delivery of projects
• Participate in strategic planning and contribute to the technical roadmap for the Workload Management team
• Advocate for and implement platform engineering principles within the team
• Support the team during on-call rotations and critical incidents, ensuring system reliability and availability

Preferred Qualifications

• Familiarity with technologies such as Elasticsearch, Kafka, MongoDB, or similar systems
• Proficiency in Python
• Experience implementing and advocating for platform engineering principles

Benefits

• Competitive salary along with company bonus
• Strong maternity and paternity scheme
• A workplace pension scheme
• Take what you need holiday package
• Private medical insurance
• Dental plan
• Group life assurance
• Group income protection
• Employee assistance programme
• A monthly wellness allowance
• Adoption assistance
• Stock options