Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role within Tiger’s core Data & Insights Solutions practice. This individual will bring both breadth and depth of technology expertise, with a demonstrated track record of delivering large-scale transformations, leading innovation-driven practices, and consulting with and managing executive stakeholders across IT and business functions.

Key Responsibilities

Thought Leadership and Client Engagement

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

Requirements

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Azumo is looking for a highly technical and hands-on DevSecOps Engineer / Security Solutions Lead to own and strengthen the security posture of our platform, infrastructure, and AI-driven systems.

This is a proactive, operationally-focused role—not just policy work. You will actively secure systems, remediate vulnerabilities, and collaborate across engineering and compliance to ensure continuous resilience. Working in a remote-first, high-trust engineering culture, you will join us as we scale rapidly following our Series A funding to power the future of modern financial infrastructure.

Location: Remote Latin America

In this role, you will secure and improve the systems that power our FinTech ecosystem while also serving as a key representative of our security program during customer and partner due diligence processes.

Key Responsibilities

Security Engineering & System Hardening

● Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows. · Implement and maintain security controls across production environments, CI/CD pipelines, cloud infrastructure, and internal tooling.

● Work directly with engineering teams to remediate vulnerabilities and improve secure development practices.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.

You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.

Key Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Sr. Solution Architect with extensive experience in data architecture, cloud services (Azure preferred), and AI-driven solutions. This role focuses on designing scalable, secure, and high-performance data and AI solutions, collaborating with cross-functional teams, and ensuring best practices in data governance and security.

Responsibilities:

• Design and implement scalable cloud-native solutions on Azure, ensuring security and performance.
• Architect end-to-end data solutions, integrating data sources, processing systems, and AI/ML platforms.
• Build conceptual & logical architectures for data-driven programs.
• Provide guidance on data pipelines, ETL/ELT workflows, and data integration.
• Implement data governance frameworks, ensuring data quality and compliance.
• Collaborate with stakeholders to understand requirements and deliver innovative solutions.
• Mentor team members and provide technical guidance where needed.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Technical Program Manager (TPM) to join our Consulting team. In this role, you will lead the cross-functional delivery of key customer-facing retail capabilities—specifically driving our Loyalty & Rewards Program and Buy Quantity (Volume/Tiered Pricing & Promotions) platforms.

The ideal candidate combines deep hands-on expertise in technical program governance, financial management, and Agile methodologies with a forward-thinking mindset—actively leveraging modern AI tools to maximize efficiency and program velocity.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.

Key Responsibilities

Location: Remote - Based in the United States

Remote  | Full-time

Compensation: $220K - $300K

Job Description

We are hiring on behalf of our client, an elite team of engineers and cryptographers building the infrastructure behind the next generation of financial systems who are seeking a Senior Infrastructure Engineer. This position is responsible for designing, operating, and scaling the core systems that power a highly secure, high-performance platform.

The successful candidate will build and maintain the infrastructure supporting wallet services, transaction processing, and blockchain integrations. Operating at the intersection of distributed systems, cybersecurity, and cloud infrastructure, this individual will ensure the platform remains exceptionally reliable, secure, and performant. This role extends beyond routine infrastructure operations; it requires a strategic mindset to design resilient architectures, automate complex operations, and continuously optimize deployment, monitoring, and security protocols. The engineer will collaborate closely with cross-functional engineering, product, and security teams to deliver an infrastructure capable of handling intensive, real-world financial workloads.

Key Responsibilities

Location: New York, United States • London, United Kingdom (Office)

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development organization and a key contributor to one of the largest and fastest-growing decentralized crypto social networks globally. The platform has achieved massive scale, generating significant revenue and global attention since its inception.

To support this rapid expansion and ensure the continuous uptime of its high-stakes, high-throughput environment, our client is seeking a battle-tested Site Reliability Engineering (SRE) Expert. This individual will be handed ambiguous, critical infrastructure challenges and will be trusted to navigate them end-to-end—scoping solutions, making sound architectural trade-offs, and executing with precision.

Key Responsibilities