Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.

One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings:

About the Role

We are looking for a highly skilled Software Engineer (Full Stack) to join our Engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems, managing databases, implementing DevOps practices, ensuring security compliance, and collaborating closely with frontend teams.

You will play a key role in shaping system architecture, optimizing performance, automating deployments, and mentoring junior engineers while ensuring the delivery of secure, high-quality software solutions.

Our team provides quality assurance for mobile games developed by the company. We work closely with game designers, developers, and product stakeholders to ensure high quality, stability, and an engaging player experience across different mobile devices and operating system versions.

We continuously improve our QA processes step by step, focusing on efficient testing practices and product quality.

We are looking for a Manual QA team member who can perform manual testing of mobile games across different devices and operating system versions.

We work remotely, with formal meetings kept to a minimum — one weekly stand-up, and the rest scheduled based on work needs.

Our focus is on maintaining a balance between game quality and business goals to ensure long-term project sustainability and a positive team atmosphere.

We strive to deliver games that we can truly be proud of. 🙂

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.

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

About the Role

We are looking for a highly skilled Senior Software Engineer (Full Stack) to join our Engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems, managing databases, implementing DevOps practices, ensuring security compliance, and collaborating closely with frontend teams.

You will play a key role in shaping system architecture, optimizing performance, automating deployments, and mentoring junior engineers while ensuring the delivery of secure, high-quality software solutions.

Location: Remote - EST timezone

Remote | Full-time

Compensation: $100K - $130K

We are hiring on behalf of our client who is seeking an exceptional, production-proven Infrastructure & DevOps Engineer to take absolute ownership of the deployment, secure networking, architectural lifecycle, and overall reliability of this distributed agent fleet from day one. The client is engineering a sophisticated infrastructure designed to launch a highly distributed fleet of managed, single-tenant personal artificial intelligence (AI) trading agents. Operating non-stop, these isolated processes execute high-frequency, complex financial workflows natively on blockchain infrastructure, dedicated exclusively to individual user portfolios.

Key Responsibilities

As a SRE Lead, you will design, implement, and maintain our observability cloud infrastructure and infrastructure platform. You will also work closely with development teams to streamline deployment processes and ensure system reliability.

We are looking forward to your resume!

Requirements

- 5+ years of experience in DevOps/SRE roles;

- Strong experience with AWS cloud services;

- Advanced knowledge of Kubernetes and container orchestration;

- Solid understanding of DevOps principles and practices;

- Experience with Helm chart development and maintenance;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repo storage, and management tools;

- Strong scripting skills (Bash, Python, or similar);

- Excellent problem-solving and communication skills.

Responsibilities

- Manage SRE teams;

- Technical excellence of teammates;

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Fluent, Fluent-bit, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;

We are looking for an experienced and motivated Senior Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for the reliability, scalability, performance, and stability of our systems and applications. You will work closely with cross-functional teams to automate processes, improve infrastructure, and support continuous product delivery.

Requirements

- Minimum of 3 years of experience in a similar SRE role;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repostorage, and management tools;

- Solid understanding of DevOps principles and practices;

- Bachelor's degree in Computer Science, Engineering, or a related field;

- Excellent problem-solving and troubleshooting skills;

- Strong communication and collaboration skills.

Responsibilities:

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Vector, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;