Senior Staff Software Engineer, Integrations (Tech Lead) Veza

Senior Staff Software Engineer, Integrations (Tech Lead) — Veza

We are looking for a passionate Senior Staff (Tech Lead) Software Engineer who will play a key role in designing, developing, and maintaining product features of our IAM platform for our Integrations. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. The Integrations team builds the services which ingest data from external integrations (e.g. AWS, Okta) into the Veza platform, enabling Veza's suite of next-gen features across our wide and growing array of supported integrations. You will be exposed to a breadth of software products and have the opportunity to dig deep into large and complex data systems as you determine an efficient, yet comprehensive way to represent each integration's unique access relationships in Veza's data model. You will also drive the scalable way of adding integrations leveraging the latest AI/ML models. Veza can only do what its integrations enable; you will work closely with all other engineering teams as you enable them to consume your integrations' data and provide advanced tools to allow our customers to easily manage their entire Enterprise ecosystem.

What you will do

• Design, develop, and build integrations with services like AWS, GCP, Azure and resources like Box, Hashicorp, Databricks. These integrations have to be built ensuring high performance, scalability, and reliability.
• Lead a team of backend software engineers, providing mentorship and guidance to help them grow their skills and expertise.
• Drive the technical direction for assigned projects, defining architecture, design patterns, best practices and leveraging the latest AI/ML models for integrations.
• Partner with Product, Solutions Engineering, Support, and customers to translate requirements into connector designs and prioritize the integration roadmap.

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Typically requires a minimum of 12 years of related experience; or an advanced degree with 8 years in backend software development, with a focus on data modeling, management, identity, security, or related areas.
• Strong proficiency in one or more programming languages, such as Golang, Java.
• Experience designing and implementing RESTful APIs and microservices architectures.
• Experience in optimization, building of databases, storage layers, or distributed systems.
• Experience with building pluggable modular software that allows code decouplings.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform.
• Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems.
• Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.