Data DevOps Lead

About Mox

Mox is built by and for the ones who aspire to

live life to the fullest – we call them Generation Mox! The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it’s all up for us to define together.

Why Mox

Mox helps you grow – your money, your world, your possibilities. We equip you with the financial management tools, information and insights you need to make your dreams, big or small, come true.

Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox.

Mox rewards you with an array of banking and lifestyle benefits. Who says banking can’t be fun?

Who are we looking for

We expect candidates to have in-depth experience in a majority of the following skills and technologies and able to share that knowledge while also setting the overall direction of that team based on the company’s priorities. Additionally, we seek people who are highly logical, with a balance of respect for best practices and using their own critical thinking, adaptable to new situations, comfortable with triaging technical issues, picks up new technologies and skills quickly, communicates well in English, collaborates with and effectively guides teammates and stakeholders towards mutually agreeable decisions, and eager to lead a high-performing team, taking their careers to the next level with us.



As a Data Devops Lead you'd be managing our team of infrastructure engineers that builds, deploys, and maintains a modern, automated, cloud-native, continuously delivered and distributed data platform. This includes the operational relational databases, data pipelines, and supplementary data services which all work in concert to provide the company with accurate, timely, and actionable metrics and insights to grow and improve our business using data and are business critical for many other teams in the company. You will be collaborating with our data engineering team to set up new features and services for the data platform, assisting our data science team to build and maintain our ML-related services, supporting our product engineering teams to configure and customize our data infrastructure to fit their needs, and of course managing and leading by example other data devops engineers with your experience and expertise.


Highly relevant skills:

  • General AWS or Cloud services: Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, Cloudwatch, DMS.

  • Infrastructure, Configuration and Deployments as Code: Terraform, Ansible.

  • Devops tools and services: Git, CircleCI, Jenkins, Artifactory, Spinnaker, AWS CodePipeline, Chef.

  • Container management and orchestration: Docker, Docker Swarm, ECS, EKS/Kubernetes, Mesos.

  • Relational databases: PostgreSQL preferred. Oracle is a plus. General SQL systems experience a minimum.

  • Distributed messaging and event streaming systems: Kafka, Pulsar, RabbitMQ, Google Pub/Sub.

Version control: git commands, branching strategies, collaboration etiquette, documentation best practices

  • Log ingestion, Monitoring and Alerting: Elastic Stack, Datadog, Prometheus, Grafana.

  • Data Governance and Security: Certificate management, Encryption methods, Network security strategies.

  • Scripting Languages: Python, Bash.

  • General computing concepts and expertise: Unix environments, network configuration, distributed and cloud computing, service resilience and scalability strategies.

  • Agile/Lean project methodologies and rituals: Scrum, Kanban.

Also good to have:

  • Modern NoSQL / Analytical / Graph Data Stores: DynamoDB, Redis, Athena, Presto, Snowflake, Neo4J, Neptune.

  • Enterprise BI tools: Tableau, Qlik, Looker, Superset, PowerBI, Quicksight.

  • Data Science environments: AWS Sagemaker, Project Jupyter, Databricks.