Location: New York, United States (Office)

On-Site | Full-time

Compensation: $250K - $300K

We are hiring on behalf of our client who is seeking a highly skilled and autonomous Staff Frontend Engineer to lead the technical evolution of its primary application surfaces. Our client provides an institutional-grade yet highly accessible trading application that abstracts away the complexities of on-chain operations—such as external wallets and bridging—enabling seamless, instantaneous asset access alongside advanced social trading features. Within its first year of operation, the platform has successfully onboarded over 500,000 users and executed more than $3.5 billion in total trading volume.

The successful candidate will join an elite, lean engineering organization comprised of crypto-native talent drawn from top-tier decentralized finance (DeFi) and digital asset protocols. This individual will take comprehensive ownership of both the mobile application architecture (developed with Expo) and the web application infrastructure (built utilizing React Router and Vite). As our client scales its core product offering to support novel order types, decentralized perpetuals, prediction markets, and sophisticated social layers, this role provides significant cross-stack flexibility and foundational architectural ownership.

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;

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.

Zyte is looking for a seasoned, strategic, and hands-on AI Product Manager / Owner to help shape one of the company’s most important growth areas.

This role sits at the center of Zyte’s strategic focus: making web data universally accessible in a world where software is increasingly built, orchestrated, and consumed through AI agents and agentic development workflows.

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.

Zyte is looking for a seasoned, strategic, and hands-on AI Product Manager / Owner to help shape one of the company’s most important growth areas.

This role sits at the center of Zyte’s strategic focus: making web data universally accessible in a world where software is increasingly built, orchestrated, and consumed through AI agents and agentic development workflows.

Location: Remote - EU remote

Remote | Full-time

Compensation: €90K - €110K

We are hiring on behalf of our client, a high-growth, venture-backed financial technology organization who is seeking an exceptional Senior Android Engineer to join its core mobile engineering team on a strictly confidential basis. This company is actively engineering next-generation infrastructure aimed at establishing a new paradigm within the international FinTech industry. Operating within a high-agency, fast-paced environment, the successful candidate will work directly alongside cross-functional product and design teams to translate high-fidelity, responsive designs into elegant and highly optimized production software.

The ideal candidate possesses an uncompromising standard for engineering craft, a deep product-minded orientation, and a strong sense of user empathy. Speed, execution velocity, and the capacity to pioneer robust architectural choices will position this individual as a foundational pillar of the mobile engineering organization. Furthermore, this role offers the unique opportunity to sit at the forefront of financial technological convergence by exploring and natively integrating Web3 architecture and crypto wallet experiences within the core Android ecosystem.

Key Responsibilities

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 with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Tiger Analytics is looking for experienced Data Scientists to join our 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 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 highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.

Requirements

• Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.

Benefits

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 leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Responsibilities:

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