Platform Engineer III - MongoDB

How will you contribute?

• Support all systems and infrastructure associated with the day2 operations of all Datastore clusters within Smarsh’s Enterprise Platform.
• Design, implement, and maintain high available and scalable MongoDB clusters.
• Monitor and troubleshoot database performance issues, ensuring uptime and efficiency
• Build and maintain the platform infrastructure by automating workflows related to MongoDB and other Datastores.
• Develop automation tools and scripts to streamline database operations such as scaling, provisioning, and replication lag.
• Integrate MongoDB on cloud-native and on-prem environments, including containerized platform like Kubernetes.
• Analyse and optimize MongoDB resource utilization (CPU, memory, disk, IO) for performance and cost-efficiency.
• Ensure our Datastore platform installations adhere to best practices in security, including authentication, authorization, encryption, and auditing.
• Attend team’s standups in support of daily activities, as well as all Agile ceremonies in support of the team goals.
• Work closely with software engineering teams to support database architecture, provide guidance for database design, schema optimization, and query tuning.

What will you bring?

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4-6 years of experience in DevOps or software engineering roles.
• Proficiency in at least one programming language (e.g. Python, Java, Go).
• Familiarity with IaC/IfC tools (e.g. Terraform).
• Experience with cloud platforms (AWS, Azure, or GCP) and their associated data services.
• Hands-on experience with continuous integration and deployment systems (e.g. Jenkins, Tekton).
• Practical experience with containerization and orchestration technologies, particularly Kubernetes.
• Familiarity with observability tools such as Prometheus and Grafana, the ELK stack, or similar managed service.
• Strong problem-solving skills and attention to detail.
• Experience in MongoDB, including sharded clusters, replica sets, and performance optimization.
• Solid understanding of Linux-based systems and networking concepts.

Preferred experience

• Experience running production workloads at scale on AWS.
• Familiarity with technologies such as Elasticsearch, MongoDB, Kafka, or similar systems.
• Proficiency in Python, with a preference for experience using Django.

What do we offer?

• We value our people and offer a 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