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.

Zyte is seeking an experienced Team Lead to manage our Core & MLOps Squad, responsible for "Building the bedrock infrastructure that powers Zyte at scale." This hands-on technical leadership role requires expertise across MLOps, systems programming, and orchestration to lead a cross-functional team in designing and maintaining the scalable foundation that enables all Zyte teams to build and run their services with confidence.

Requirements

🔗 Senior EVM & Web3 Engineer - Enterprise Distributed Ledger

Location: Remote - US - Open to Europe if happy to overlap with EST

Compensation: Competitive

We are hiring on behalf of our client who is a fast-growing software company dedicated to supporting and servicing an open source, proof-of-stake platform that is EVM-compatible. This network is specifically built to meet the needs of enterprise and Web3 applications, prioritizing speed, security, and stability. They are seeking a seasoned Smart Contract Engineer to join their team, focusing on developing both the core Java services and the Web3 APIs (JS/TS) that process transactions across their network.

You will be a high-impact, hands-on programmer, spending approximately 80% of your time designing, coding, and testing. Your primary focus will be enhancing EVM compatibility and improving the developer experience (DevEx) for users migrating from other EVM chains. This includes both low-level transaction processing in Java and high-level API development for public consumption.

Key Responsibilities:

Staff Software Engineer - Distributed Ledger Execution

Location: Remote - US

Compensation: $ Competitive

We are a fast-growing software company committed to supporting, developing, and servicing an open source, proof-of-stake platform. This EVM-compatible Distributed Ledger Technology (DLT) is specifically built to meet the needs of enterprise and Web3 applications, prioritizing speed, security, stability, and sustainability. We are seeking a Staff Software Engineer to be a technical leader on our core Execution Team.

You will be responsible for delivering software services, business logic, and APIs within the core Consensus Node—the heart of our DLT. This is a high-impact role requiring deep passion for solving technical challenges involving distributed execution, state management, transaction lifecycles, and economic systems (fees, rewards). You will drive technical direction, optimize performance, and mentor engineers within a highly collaborative, open-source environment.

Key Responsibilities:

Senior/Lead EVM Engineer - Distributed Ledger Optimization

Location: Remote - US

Compensation: Competitive

We are a fast-growing software company dedicated to supporting and evolving a leading open-source, proof-of-stake distributed ledger platform. Our network is EVM-compatible and specifically engineered to meet the demands of enterprise and Web3 applications that require industry-leading speed, security, and sustainability.

We are looking for a Seasoned Java Engineer with deep blockchain protocol experience to join our Smart Contracts Team. In this role, you will be a key contributor to the evolution and optimization of our EVM implementation. You will work on a "plain Java" codebase (no heavy frameworks) where high performance, low latency, and high throughput are the baseline requirements.

Key Responsibilities:

Why Join Us?

At Excelya, we are committed to excellence in healthcare, and we invite you to be part of our dedicated team where your expertise can make a significant impact.

As a young, ambitious health company with over 900 talented professionals, we strive to be Europe's leading mid-size CRO, delivering the best employee experience. Our integrated service model enables you to engage in diverse projects, working alongside industry experts to enhance scientific knowledge and improve the patient journey.

About the Job

We are seeking a Technical Data Manager, who will be responsible for performing Technical Data Management tasks per client work orders to high regulatory standards and Excelya Group SOPs.

Main Responsibilities:

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Bangalore. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities:

1.      Responsible for programming using DMW Oracle and Oracle OAC.

2.     Will design the data model in DMW according to sponsor standards.

3.     Responsible to write data transfer protocol for external data vendors integration from specifications provided by Sponsor

4.     Responsible to manage external data loading and integrations in DMW

5.     Archives Data Management programming documentation. 

Requirements

At Excelya, taking audacious steps is encouraged, so we’re looking for individuals who are ready to grow with us and share our values.

Experience: 3 years or more years as OP or equivalent combination of education, training, and experience 

Skills:  

Staff Software Engineer, Machine Learning

Location: Burlingame, CA (On-site, 4 days a week)

Compensation: $145,000 -$250,000 (Base Salary) + Equity Options

We are a rapidly growing AI company applying Large Language Models (LLMs) to transform a critical, high-impact domain within the healthcare industry. We're looking for a highly skilled and experienced Staff Software Engineer, Machine Learning to drive the architecture and scaling of our LLM backend systems.

This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing the APIs, data pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. Join us and help push LLMs beyond demos into mission-critical healthcare workflows.

Job Description 🖥️

As a Staff Software Engineer, you’ll be a technical leader responsible for the end-to-end delivery of our core LLM backend projects, setting the engineering best practices, and mentoring peers in system design.

Key Responsibilities:

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

• Design, develop, and maintain data pipelines to support ETL processes.
• Ensure data quality and integrity across various data sources and systems.
• Collaborate with cross-functional teams to identify data requirements and create data models.
• Utilize big data technologies for large-scale data processing.
• Monitor and troubleshoot performance issues related to data processes.
• Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

AscendEx is a well-recognized global cryptocurrency trading platform. Currently, we are looking for a mid/senior backend developer to join our global team and build out the high-performance, low latency, robust, and scalable core trading system.

Responsibilities:

- Review designs, document technical specifications, and provide time estimates for implementing features/fixes.

- Write high-performance, reusable, modular code along with automated tests.

- Maintain a close working relationship with a geographically distributed development team in an evolving agile environment.

- Follow common design patterns, architectural practices and development methodologies.

- Identify and resolve performance issues to optimize for speed.

Requirements

- 5-12 years of professional work experience in a software development organization.

- 7+ years of professional work experience with Scala, Java, or Go.

- Experience designing and coding large distributed systems with high throughput.

- Demonstrated ability to deliver high-quality software in a fast-paced environment with iterative deadlines.

- A dedicated team player with excellent verbal and written communication skills.

- Able to read, write, and speak fluent English. Mandarin-speaking is a bonus.

- Bachelor's degree in computer science, software engineering or related major.

As an Architecture and Research Engineer focusing on AWS serverless and Autonomous Operations or AI-Driven technologies, you will play a pivotal role in advancing our technological capabilities. This position requires innovative thinking and a passion for exploring new solutions that leverage the power of serverless architectures and autonomous operations. You will collaborate with cross-functional teams to conceptualize and design scalable and efficient systems based on cloud-native technologies.

Requirements