Description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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.

Role Overview

The Forward Deployment Engineer (FDE) 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 multi-cloud environments (AWS, Azure, GCP). 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

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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.

Role Overview

The Forward Deployed Engineer (FDE) 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 multi-cloud environments (AWS, Azure, GCP). 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

Key Responsibilities-

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are looking for a skilled DevOps Engineer with strong hands-on experience in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for building, scaling, and maintaining reliable cloud infrastructure while driving automation and improving deployment efficiency across the platform.

You will collaborate closely with software engineers and technical teams to ensure system reliability, security, scalability, and operational excellence.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams

Requirements

Please note this is a Hybrid role with 3-4 days a week onsite.

·       Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.

·       Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc

·       Strong in Python.

·       Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)

·       Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler

Senior Software Engineer (.Net)

Location: Ukraine, Europe

Remote | Full-time

Compensation: Competitive

Our client is seeking an experienced Senior .NET Engineer to join a high-performing engineering team dedicated to developing a sophisticated enterprise asset management solution. This platform is engineered to boost operational efficiency, extend asset lifespans, and significantly reduce maintenance costs for global organizations. By leveraging advanced features, the solution transforms traditional asset management into a strategic competitive advantage. The successful candidate will play a critical role in evolving this enterprise-grade system, ensuring it remains performant and scalable as it serves companies worldwide.

Key Responsibilities

Location: London (Office)

On-Site | Full-time

Compensation: $250K - $300K

We are hiring on behalf of our client who is a high-growth development firm behind a market-leading digital asset launchpad. Operating at a massive scale with over $750M in daily trading volume and nearly $1B in revenue generated over the last two years, the organization maintains a lean, high-impact team of fewer than 100 people.

The environment is fast-paced, data-driven, and maintains a high bar for engineering excellence. Decisions are made through experimentation, bureaucracy is kept to a minimum, and engineers are granted end-to-end ownership of their platforms.

Our client is seeking a Senior Payments Platforms Engineer to own and scale the infrastructure backbone powering critical fiat-to-crypto payment flows. This is a senior technical contributor role designed for an expert who builds cloud-native platforms and defines engineering standards to enable high-velocity product teams.

The successful candidate will bring deep experience from a neobank, payment service provider (PSP), or tier-1 financial institution. This individual will be responsible for ensuring that cloud infrastructure remains reliable, scalable, and compliant under real-world financial constraints and rigorous regulatory expectations.

Senior Blockchain DevOps Engineers
Employment: Full-time via MLabs
Engagement: Contracted to a UAE-based enterprise blockchain / fintech client
Location: Remote (Eastern Europe / MENA / India preferred)

Job Description
MLabs is hiring a Senior Blockchain DevOps Engineer to support a large-scale blockchain and financial technology program for a UAE-based enterprise client.
You will be responsible for deploying, maintaining, and scaling blockchain infrastructure in production environments. This role combines modern DevOps practices with blockchain node operations, automation, and high-availability system design.
The ideal candidate has hands-on experience operating blockchain nodes and managing secure, production-grade infrastructure in distributed environments.

Responsibilities

• Deploy, configure, and maintain blockchain nodes and supporting infrastructure
• Design and manage CI/CD pipelines for blockchain and backend services
• Automate infrastructure using Infrastructure as Code tools
• Ensure high availability, scalability, and security of blockchain systems
• Monitor system performance and troubleshoot distributed environments
• Implement logging, monitoring, and alerting solutions
• Collaborate with protocol, smart contract, backend, and security teams

Requirements

Dynatrace Observability Engineer

Location: Mclean, VA – Local Candidates Only

Job Function: Information Technology

Industry: IT Services

Our firm has been retained to find a highly skilled Dynatrace Observability Engineer to design, implement, and optimize a world-class enterprise observability ecosystem. In this role, you will be the technical lead for our client's visibility strategy, leveraging Dynatrace’s APM, Infrastructure Monitoring, RUM, and Davis AI capabilities to ensure system reliability and proactive incident detection across hybrid and multi-cloud environments.

You will collaborate directly with SREs, DevOps, Cloud Engineering, and business stakeholders to build scalable solutions that empower faster troubleshooting and data-driven decision-making.

Key Responsibilities:

Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-

This role sits at the intersection of data engineering and data operations (DataOps). Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team. This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.

Requirements

The Platform Data Engineer (DataOps) will be based remotely.

Basic Qualifications: