Senior Security Engineer

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

This is not an audit seat. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

At Azumo, ownership is split by what gets built: the pipelines, the method behind a decision, the product, and what an AI system does once it's live. Security doesn't work that way. It has to be right across all of them, and that's what this role owns.

Gap or breach, it's yours. If there's a gap, you find it and close it before anyone outside the team does. If there's a breach, you run it: containment, root cause, and the fix that keeps it from happening twice.

Whoever builds the system answers for whether it works. You answer for whether it's safe to run. That split is agreed before the work starts, not reported after.

What you will build

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

You will not be writing policy. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

Most engineering organizations split ownership by what's built: pipelines and data infrastructure, the model or the method behind a decision, the product itself, and — once AI systems are live — what they actually do in front of users. Security isn't one more slice next to those. It's the discipline that has to hold inside every one of them, and on any team large enough to carry a dedicated specialist, this is the role that owns it.

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.

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $300K - $375K

Our client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.

Reporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle—from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

Key Responsibilities

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

Location: Remote - Based in Hong Kong or Singapore

Remote | Full-time

Compensation: $160K - $230K

Our client is seeking a Principal Solutions Engineer to assist institutions, fintechs, and enterprises across the APAC region in adopting advanced custody and security infrastructure with confidence and ease. This role is both hands-on and client-facing, requiring the successful candidate to design integrations for complex environments, guide customers through deployment, and provide end-to-end technical support across key regional centers, including Singapore, Hong Kong, Tokyo, Sydney, Seoul, and beyond.

Combining deep technical expertise with strong communication skills, the individual in this role will serve as a trusted advisor to CTOs, architects, and engineering teams at banks, exchanges, custodians, and fintechs. Key duties involve designing tailored solutions, delivering technical proposals, troubleshooting issues in real time, and collaborating closely with backend, security, and product teams to ensure successful customer outcomes across multiple time zones, regulatory regimes, and languages.

This position balances senior technical leadership with hands-on execution, reporting directly to the VP of Solutions Engineering and working in close alignment with Sales, Engineering, Security, and Product to drive regional growth.

Key Responsibilities

Location: Based in CET, Eastern US, or Middle East time zones, with the ability to maintain a 70% schedule overlap with the team’s core working hours of 10 AM to 5 PM CET.

Remote | Full-time

Compensation: Competitive

Job Description

We are hiring on behalf of our client who is seeking a Senior Technical Architect to join a high-impact Research & Development Innovation unit. This role is a critical team augmentation for a project focused on the development of a Tiered Pricing Mechanism.

Location: Remote - NYC preferred. Also open to US remote.

Remote | Full-time

Compensation: $200K - $275K

We are hiring on behalf of our client, a leading innovator in the blockchain space who is seeking a Senior Golang Engineer/ Staff Backend Engineer (with deep Go expertise) to join their core backend team. Our client has developed a real-time parimutuel prediction market platform built on Solana, designed to integrate ultra-fast, 60-second to 30-minute prediction markets directly into livestream environments and web platforms.

Following a successful $1M pre-seed round in April 2026 led by prominent venture participants in the Solana ecosystem, the organization is scaling its infrastructure to handle high-concurrency, traffic patterns. As one of the first backend engineering hires, the successful candidate will own critical systems responsible for market creation, settlement, and automated payouts during high-stakes global livestream events.

Key Responsibilities:

Senior Full Stack Engineer

Location: Jersey City, United States (Hybrid)

Hybrid | Full-time

Compensation: $175K - $225K

Our client is a venture-backed financial technology firm on a mission to transform the global movement of money. By building a full-service platform for the issuance, management, and integration of stablecoins, the organization aims to provide a faster, more efficient, and more transparent financial fabric. The platform makes digital dollars programmable, composable, and ubiquitous, serving as foundational infrastructure for developers, fintechs, and institutions alike.

The engineering team combines the discipline of high-performance finance with the creative agility of a crypto-native startup. As a Senior Fullstack Engineer, the successful candidate will take end-to-end ownership of features and products across the entire stack—from user interfaces to robust backend infrastructure. This role requires an engineer with strong product taste, a bias toward MVP thinking, and the ability to navigate complex backend systems and API designs with equal proficiency. This is a remote-first position. C

Key Responsibilities

Tiger Analytics is looking for experienced Senior DevOps Engineer – Workday Financials to join our fast-growing advanced analytics consulting firm. 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.

We are seeking a Senior DevOps Engineer with strong experience in network operations, automation, and cloud infrastructure. This role sits at the intersection of software development and network engineering, focusing on building scalable automation solutions, improving observability, and ensuring high availability and performance across cloud-based environments.

The ideal candidate will bring deep Python expertise, hands-on AWS (ECS) experience, and strong monitoring/logging knowledge using Splunk and New Relic.

Key Responsibilities