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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.

Were looking for a talented and experienced DevOps Engineer to join our growing technology team! If youre passionate about automation, cloud infrastructure, and complex on-prem environments - wed love to meet you.

Responsibilities:

* Design, build, and maintain CI/CD pipelines
* Manage and monitor hybrid infrastructures - both cloud (AWS / Azure) and on-prem environments
* Implement infrastructure-as-code and automation processes
* Ensure smooth deployments and reliable system operations in secured, mission-critical environments
* Collaborate closely with development, infrastructure, and security teams
* Drive initiatives to improve system reliability, scalability, and security
* Participate in overseas installations and on-site integrations when required

Our data & AI Division is Hiring a BI Developer
Were looking for a talented BI Developer to join our growing data & AI division and help drive data -driven decision-making across the organization.
In this role, youll be responsible for designing, building, and maintaining impactful dashboards and reports that support business needs and strategic goals. Youll work closely with cross-functional teams to understand their requirements and translate them into scalable data solutions. This includes managing BI projects end-to-end, working with databases, ETL workflows, and visualization tools to deliver actionable insights. If youre passionate about turning data into meaningful outcomes and thrive in a dynamic, collaborative environment-wed love to hear from you!

Our data & AI division is expanding, and were looking for a skilled and motivated BI / data Engineer to join our growing team. This role offers the opportunity to work on innovative data projects, collaborate with cross-functional teams, and help shape data -driven strategies across industries.
Responsibilities:
* Develop and maintain ETL processes in Azure with diverse data sources
* Design, manage, and optimize cloud-based data environments
* Build and optimize scalable data Warehouses
* Write complex SQL queries and perform performance tuning
* Work with data Lakes, parallel job execution, and cloud Big Data architectures
* Develop cloud-based AI solutions, including Generative AI models
* Perform data modeling and analytics using Power BI

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Senior Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data-related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure

The Role joins the team acting as the backbone of mavens (Zynga & T2). You will build and scale the mission-critical data infrastructure that powers our products, moving data at high volumes and low latency. This is a hands-on, fast-paced role focused on ingestion, processing, and backend engineering.

What Youll Do

Build & Scale: Design robust, observable external data integration pipelines and backend services.
Manage Data: Maintain data lake/warehouse layers using modern formats (Apache Iceberg, BigQuery).
Model: Design schemas for flexibility, performance, and cost-efficiency.
Collaborate: Work globally with engineers to integrate external APIs and support product needs.

As a Data Product Manager, you will play a critical role in driving the success of our business through successful data product development. You will be responsible for leveraging our unique data to empower all the teams across the company and be part of building great data exploration and storytelling products. In this role, you will work closely with cross-functional teams to deliver high-quality solutions.



Responsibilities

Build the expertise behind our data and have a deep understanding of how it should be collected, generated, processed, and how it serves the various platforms products.
Lead the development and execution of the data product roadmap, including defining the product vision, strategy, and key objectives.
Gather, define and prioritize data product requirements along with engineering and other product managers.
Use data and feedback to inform product decisions and drive continuous improvement.
Communicating regularly with stakeholders, including senior leadership, customers, and the wider team, to provide updates and gather feedback.
Building and managing relationships with key partners and vendors.

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across Blockaid to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.