Software Engineer (Generalist)

Location: New York City (Hybrid / Onsite options)

Type: Full-time

Level: Mid to Senior

About the Role

We are looking for a Software Engineer (Generalist) as a generalist, you won't be boxed into a single layer of the stack—you'll own features end-to-end, tackle high-impact bottlenecks across the codebase, and help shape technical architecture as we scale.

If you love shipping product fast, diving into unfamiliar technologies to solve tough problems, and balancing speed with high-quality engineering, you’ll fit right in.

Requirements

Software Engineer (Generalist)

Location: San Francisco, CA (Hybrid / Onsite options)

Type: Full-time

Level: Mid to Senior

About the Role

We are looking for a Software Engineer (Generalist) as a generalist, you won't be boxed into a single layer of the stack—you'll own features end-to-end, tackle high-impact bottlenecks across the codebase, and help shape technical architecture as we scale.

If you love shipping product fast, diving into unfamiliar technologies to solve tough problems, and balancing speed with high-quality engineering, you’ll fit right in.

Requirements

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.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

We are looking for a Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform.

The primary focus of this role is GCP and Kubernetes, infrastructure and application delivery automation, and the reliability and security of production services.

You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently.

Location: Remote - India Remote

Remote | Full-time

Compensation: $75K - $85K

We are hiring on behalf of our client, a fast-growing, enterprise-grade software organization building next-generation infrastructure for institutional applications is seeking a highly skilled and strategic Senior Product Manager to lead its tokenization and capital markets product capabilities.

In this role, the selected candidate will own the strategy, roadmap, and execution for high-growth enterprise features tailored directly to Tier-1 financial institutions, including global banks, asset managers, custodians, and payment networks. Serving as the core product owner for up-market capabilities, this role sits at the intersection of technical innovation and complex institutional requirements—translating deep financial market insights into scalable, production-ready enterprise software.

This position is ideal for a hands-on, high-agency product manager with a substantive background in traditional finance, deep familiarity with market infrastructure, and a proven ability to lead technical discussions with CTOs, Heads of Operations, and enterprise engineering teams.

Key Responsibilities

Role Overview

We are seeking an experienced Senior AWS EMR Administrator to manage, optimize, and scale our cloud data infrastructure. In this hands-on technical role, you will be responsible for designing, deploying, and maintaining persistent and transient AWS EMR clusters to support large-scale batch data processing pipelines. You will collaborate closely with data engineering teams and leverage Infrastructure as Code (IaC) to ensure reliable, secure, and automated operations across our AWS ecosystem.

Requirements

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.

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

We are seeking a motivated and detail-oriented OnCall Site Reliability Engineer (SRE) to join our dynamic team. The successful candidate will be responsible for maintaining the health and performance of our systems, ensuring high availability, and quickly responding to incidents. This role requires an understanding of our technical stack and the ability to work effectively under pressure.

Requirements

- 6+ months of experience in DevOps or system administrator;

- Understanding of cloud infrastructure and container orchestration;

- Familiarity with monitoring and logging tools;

- Strong problem-solving skills and attention to detail;

- Ability to work effectively in a team environment;

- Excellent communication skills;

- Native Ukrainian speaker.

Responsibilities

- Monitor and maintain the health of our systems, ensuring high availability and performance;

- Respond to incidents and troubleshoot issues in a timely manner;

- Collaborate with development and operations teams to implement improvements and optimize system performance;

- Create and maintain documentation for incident response and system maintenance procedures;

- Participate in on-call rotations to provide 24/7 support.

Technical Stack

- AWS;

- Kubernetes;

- Terraform;

- ElasticSearch;

- Kafka;

- Grafana;

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.