Senior DevOps Engineer

About Binagora

At Binagora, we are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality, custom solutions that achieve tangible results. Our expertise spans various sectors, including Media & Entertainment, Solar Energy, Healthcare, Marketing, Audit & Compliance, Diversity & Inclusion, among many others. From initial strategy to final delivery, we go above and beyond, infusing creativity and aligning with business objectives to develop innovative products that challenge conventions and propel businesses forward.

Our Client

Our client is on a mission to be the category-defining global platform for connected risk, continually elevating customers through innovation. Founded by enterprise audit, risk, and compliance professionals who experienced the challenges of managing internal controls and fieldwork manually, they developed a platform to transform how organizations manage risk. Today, the platform is trusted by over 50% of the Fortune 500, empowering them to streamline their risk management processes.

Requirements

As a Senior Data DevOps Engineer focused on Data Platforms, you will :

• Design and Implement Scalable Data Infrastructure : Lead the design, development, and maintenance of robust and reliable infrastructure supporting next-generation data pipelines.
• Build & Automate Data Pipelines : Engineer and optimize critical data pipelines using cutting-edge technologies such as Fivetran, Snowflake, Apache Kafka, and Apache Flink.
• Infrastructure as Code (IaC) : Drive the adoption and implementation of Infrastructure as Code principles, primarily utilizing Terraform, to provision and manage cloud resources (AWS / Azure).
• Cloud Platform Management : Manage and optimize cloud-based data platforms and services on AWS or Azure, ensuring high availability, performance, and cost efficiency.
• Containerization & Orchestration : Implement and maintain containerized solutions using Docker and Kubernetes for data-intensive applications and services.
• Cross-Functional Collaboration : Serve as a crucial bridge between application development teams, data engineering teams, and operations, ensuring seamless deployment and operation of data systems.
• Operational Support & Reliability : Provide expert support for data infrastructure, assisting customer support with escalated issues and working to improve system reliability, monitoring, and alerting.
• Performance Optimization : Continuously identify and implement improvements for data pipeline performance, scalability, and efficiency.

Must-Haves

Benefits