Join Alumil as a System & Database Administrator.

About the role

As a System & Database Administrator, you will be responsible for ensuring that the IT infrastructure (servers, OS, databases) runs reliably, securely, and efficiently. You will ensure the reliability, security, and performance of our infrastructure while providing robust database management support.

Your responsibilities will include:

• Monitoring the performance of information systems and ensures their smooth operation
• Managing employee access rights to systems and services
• Monitoring and managing cloud infrastructure and services (Office365 – Azure)
• Executing regular system & database maintenance tasks
• Resolving user issues related to computing systems

Requirements

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

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development company and a major contributor to one of the largest and fastest-growing crypto social networks globally. Operating in a high-velocity, high-impact environment, the organization builds cutting-edge infrastructure that supports massive global transaction volumes and substantial revenue generation.

The organization is seeking a Staff Software Engineer (Payments) to design and build the core payment services at the center of this ecosystem. This is a senior, high-ownership role designed for an engineer who thrives on solving hard, ambiguous problems end-to-end—from the moment money enters the system to final settlement, reconciliation, and delivery.

Operating within a lean team of highly experienced engineers, the successful candidate will focus on 0→1 development, moving quickly while maintaining the absolute rigor required for financial systems. The engineering culture prioritizes low bureaucracy, continuous production deployment, and trust in individual judgment over rigid processes.

Key Responsibilities

Tiger Analytics is a leading AI and advanced analytics consulting firm dedicated to delivering impactful data-driven solutions to Fortune 100 companies worldwide. We specialize in helping organizations solve complex business challenges through innovative Data Engineering, Machine Learning, and AI techniques. We are currently seeking a highly skilled Data Engineering Lead to manage and lead complex data engineering projects, driving excellence and innovation in our delivery.

Requirements

• We are seeking a highly experienced Data Engineer with over four years of expertise in modern data stack technologies, specifically focusing on Azure Databricks and the Medallion Architecture encompassing the Bronze, Silver, and Gold processing layers.

• Proven experience in designing, developing, and optimizing scalable, cloud-based data pipelines is essential.

• Pipeline Development & Orchestration: Responsible for creating, deploying, and maintaining production-grade data pipelines utilizing Azure Databricks, PySpark, and Azure Data Factory (ADF).

• Medallion Framework Management: Accountable for developing and managing the comprehensive Lakehouse pipeline architecture across the Bronze, Silver, and Gold layers.

• Delta Lake Optimization: Expertise in applying advanced Delta Lake features such as Z-Ordering, liquid clustering, vacuuming, and partitioning techniques to minimize query costs and improve read/write efficiency.

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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities

About Us

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is seeking a Senior IT Engineer with strong Business Systems and Automation experience to architect and operate the internal technology ecosystem that powers our global company.

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

Software Engineer (Backend & AI Infrastructure)

Location: San Francisco, CA

Hybrid | Full-time

Compensation: $160K – $300K + Equity

Our client is a venture-backed technology firm based in San Francisco that is redefining the global research industry through AI-powered user interviews. By leveraging advanced AI-moderated technology, the platform enables global enterprises to achieve deep qualitative insights at unprecedented speed and scale. Currently serving world-class brands across the technology and consumer sectors, our client is disrupting a $140B market by replacing slow, high-cost legacy services with high-performance automated solutions.

Following a breakout year characterized by 8x growth, the organization recently secured a $30M Series B funding round led by top-tier Silicon Valley investors. The engineering team is currently scaling to support the rapid adoption of AI-moderated research as the new industry standard. This is a high-impact opportunity for a Backend Software Engineer to join a lean, elite team of 30 in San Francisco and take ownership of mission-critical infrastructure.

Key Responsibilities

Staff Software Engineer (Backend)

Location: San Francisco, New York, or Remote (US)

On-site/Remote| Full-time

Compensation: $225K – $300K 

Our client is a high-growth, venture-backed organization (YC W24) that has raised over $35M to pioneer the next generation of autonomous digital workers. Unlike traditional chatbots or copilots, our client builds fully autonomous "AI employees" that research leads, manage complex outbound sequences, handle deliverability infrastructure, and self-optimize through behavioral patterns.

Currently at $8M+ ARR and scaling rapidly, the organization is deep in the development of its next-generation platform—a step change in the capabilities of AI agents. The backend is the core of this transformation, processing millions of signals to facilitate autonomous decision-making. Our client is seeking a Staff Software Engineer to serve in a foundational role, owning major segments of the platform infrastructure and driving high-throughput AI orchestration. The engineering culture is flat, high-velocity, and results-oriented. There is no red tape; engineers are expected to own outcomes end-to-end, from architecture and design to deployment and monitoring.

Key Responsibilities

Location: Toronto, CA

On-site | Full-time

Compensation: 130K-170K (CA$180K – CA$225K)

We are hiring on behalf of our client who is an innovative infrastructure provider building open-source browser solutions specifically designed for AI agents and applications. The platform enables developers to deploy AI products that interact seamlessly with the web through a high-performance Sessions API. Having experienced 50x growth in the past year and serving millions of sessions monthly, the organization is backed by premier investors and maintains a significant open-source presence.

The organization is seeking highly skilled engineers to design, build, and maintain the novel, high-performance systems that power the platform. This role involves solving complex problems at the intersection of browser technology and cloud infrastructure, such as orchestrating millions of sessions across global regions with sub-second cold starts and engineering VM snapshotting for near-instant state restoration.

Key Responsibilities

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do