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Our SaaS platform leverages AI to make information accessible, actionable, and measurable, driving productivity and satisfaction for enterprises worldwide. As we scale rapidly to support mission-critical deployments, we are strengthening our engineering foundations across cloud infrastructure, security, and operational excellence. About the Role As a leader of Engineering Operations, you will play a pivotal role in building and leading the teams responsible for Cloud Operations, DevOps, FinOps, and Security Operations. Your mission is to ensure that our SaaS platform is reliable, scalable, cost-optimized, and secure while enabling engineering velocity and innovation. This role combines strategic leadership with hands-on execution. You will define the operational vision, evolve our practices, and partner cross-functionally with Product, R&D, Security, and Finance to deliver world-class service to our customers.
Responsibilities:
Cloud & DevOps Leadership
* Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
* Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
* Define and enforce SLOs/SLAs with an SRE mindset.
* Lead monitoring, alerting, and incident response.
* Promote Kubernetes and scalable microservices practices. Security & Compliance (SecOps)
* Implement security across cloud, CI/CD, and runtime environments.
* Lead security incident response and stakeholder communication.
* Monitor for threats using SIEM /cloud-native tools.
* Conduct risk assessments and security reviews.
* Support business continuity and disaster recovery. Financial Operations (FinOps)
* Develop tagging, cost allocation, and forecasting strategies.
* Enforce cost-efficiency policies and guardrails. People & Process Leadership
* Build and lead teams across CloudOps, SRE, FinOps, and SecOps.
* Define operational processes and readiness reviews.
* Foster a culture of ownership and continuous improvement.
* Report metrics and insights to leadership.
Advantages:

* Certifications in Azure, AWS, Kubernetes (CKA/CKAD), and FinOps Practitioner.
* Experience with knowledge management or AI/ML-powered SaaS products.
* Familiarity with ITIL, NIST, or ISO security frameworks.

At our company, we are reinventing Identity Security and Identity Governance. Join us to build a world-class solution with a simple and intuitive user experience that stands apart from the complex products in the IT & Security space.
The connector team is responsible for delivering on the mission that our company IGA can connect to anything. Connectors are the foundation of all modern IGA programs. Customers have hundreds of different applications in their environment with a daunting amount of complexity. Design the integration approach between the on-prem applications and the IGA cloud service. Our platform handles this complexity to support hundreds of out of the box connectors for SaaS applications, on-prem applications and custom applications. Join the connector team to execute connectors at scale and help customers build connectors at scale by leveraging no-code, low-code and AI based vibe-coding.
We are looking for engineering manager who thinks creatively and is great at execution to lead a full-stack engineering team.
As an engineering manager, you will take a major role in expanding IGA to the large enterprise scale and lead, mentor, and build a team that will take one of the core activities of IGA.

Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits