Member of Technical Staff (MTS) / MTS Engineer

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Job Description

About the role

We are looking for a Member of Technical Staff to design and build key components of our AI-driven data security platform. In this role, you will move beyond legacy maintenance to engineer high-scale, distributed systems that protect sensitive enterprise data across the world’s largest cloud environments.

You will join a high-caliber team of industry veterans (from places like Google, Amazon, Cisco) and engineers in a fast-paced environment where innovation is the standard. We value efficiency and modern tooling, empowering our engineers to focus on solving complex architectural challenges rather than repetitive tasks.

What youʼll do

  • Design for Scale: Architect and implement highly scalable software features for our data security platform, ensuring performance across Snowflake, Databricks, Azure, and AWS environments.
  • Quality & Release Automation: Architect comprehensive end-to-end (E2E) test frameworks that simulate complex multi-cloud environments. Build and maintain CI/CD pipelines to fully automate the release lifecycle, ensuring zero-downtime deployments and high reliability.
  • Advanced Threat Detection: Build robust systems capable of processing vast amounts of data to identify suspicious access patterns and potential breaches in real-time.
  • Data Governance: Develop sophisticated solutions for data classification, discovery, and granular access control without moving customer data.
  • Innovate with AI: Integrate GenAI and LLM technologies to enhance platform capabilities

What we’re Looking For Required Qualifications:

  • Education: Bachelor’s degree in Computer Science or a related technical field.
  • Experience: Minimum 2+ years of professional software engineering experience.

Technical Proficiency: Strong development and debugging skills in modern languages such as

  • Golang, Python, Java, C++, etc.
  • Modern Development Practices: Experience using or a strong interest in adopting AI-assisted workflows to accelerate coding, debugging, and documentation workflows.
  • Core Fundamentals: Deep understanding of data structures, algorithms, and distributed system design patterns.
  • Cloud Fluency: Familiarity with cloud-native architectures and modern data platforms.
  • Soft Skills: Strong communication skills and the ability to collaborate effectively in a team environment.
  • Ownership & Drive: Highly motivated and capable of owning and developing features end-to-end, from design through deployment.
  • Bonus Points:
  • Generative AI Development: Experience building applications using OpenAI APIs, LangChain, or vector databases.
  • Scale: Experience solving data engineering problems at a production scale with high throughput.
  • Infrastructure: Knowledge of cloud computing platforms and distributed computing technologies.

Global team exposure: Experience working with US-based teams or clients.