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 over 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.

About the Role:

We are looking for an experienced Edge Platform Team Lead to drive Zyte's strategic initiative to run browsers on Edge devices. The Edge Platform Squad builds and operates browsers that power undetectable web access across cloud and edge devices. This includes engineering Zyte's end-to-end browser technology — from a custom Chromium deployed on cloud infrastructure to cross-platform browser agents running on edge devices — delivering undetectable and scalable infrastructure that enables reliable access to the most hard-to-reach data.

Location: Remote (United States)

Remote | Full-time

Compensation: $130K - $200K

Our client is a high-growth, early-stage developer infrastructure startup that has recently secured $5M in seed funding from top-tier venture capital firms and prominent angel investors from OpenAI, Google, and Databricks. The company provides a modern approach to infrastructure-as-code purpose-built for the AI era. Their platform enables startups and enterprise organizations to deploy complex software and AI agents directly into secure, private customer cloud environments, safely unlocking access to sensitive data that cannot leave strict compliance boundaries.

As the Founding Developer Relations (DevRel) Engineer, you will be the inaugural voice of the platform, taking a product with robust engineering roots and building out its entire developer content ecosystem from scratch. This is a high-ownership role within a lean, high-impact team where you will design tutorials, reference applications, videos, and guides that help developers seamlessly ship AI applications into cloud environments.

Key Responsibilities

We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products.

You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development.

We expect you to actively leverage AI tools to improve engineering quality and development velocity.

Responsibilities

• Design and develop scalable backend services and APIs.
• Drive architecture decisions and ensure high engineering standards.
• Write production-ready code and actively use AI tools to accelerate development.
• Solve complex technical challenges and improve system reliability.
• Lead code reviews and maintain code quality across the team.
• Mentor engineers and help increase team productivity.
• Collaborate closely with Product, Design, and QA teams.
• Continuously improve development processes and engineering practices.

Requirements

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.

We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products.

You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.

Responsibilities

• Build and maintain frontend applications, widgets, partner portals, and landing pages.
• Design and implement backend services and APIs.
• Prototype new partner integrations and B2B solutions.
• Work closely with Product Managers and Designers from requirements to production.
• Own features end-to-end, including deployment and support.
• Participate in code reviews and architecture discussions.
• Actively leverage AI tools to accelerate development and increase productivity.

Requirements

Backend

• Commercial experience with Node.js and TypeScript.
• Experience building and maintaining REST APIs.
• Good understanding of PostgreSQL and Redis.
• Understanding of asynchronous patterns and message queues.
• Familiarity with JWT and OAuth2.

Frontend

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space - and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

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

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development organization and a key contributor to one of the largest and fastest-growing decentralized crypto social networks globally. The platform has achieved massive scale, generating significant revenue and global attention since its inception.

To support this rapid expansion and ensure the continuous uptime of its high-stakes, high-throughput environment, our client is seeking a battle-tested Site Reliability Engineering (SRE) Expert. This individual will be handed ambiguous, critical infrastructure challenges and will be trusted to navigate them end-to-end—scoping solutions, making sound architectural trade-offs, and executing with precision.

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;

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-

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;