About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior DevOps Engineer in Europe.

As a Senior DevOps Engineer, you will play a crucial role in building and maintaining the cloud infrastructure for continuous integration/continuous deployment (CI/CD) pipelines and production services. You will work closely with software engineers, other DevOps professionals, and cross-functional teams to ensure that systems are automated, reliable, and scalable. Your contributions will drive the overall performance and efficiency of the platform, ensuring high availability and seamless integration for development and production environments. In this role, you will also mentor junior team members and refine DevOps practices, helping to shape the future of infrastructure management.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Software Engineer, Developer Platform Engineer in United States.

In this role, you will be instrumental in enhancing developer workflows, managing continuous integration systems, and building automation tools to improve software development efficiency. You will collaborate with engineering teams to optimize the tools and infrastructure that support the development lifecycle, allowing for smoother and more efficient operations. This position offers an exciting opportunity to contribute to a transformative platform that aims to revolutionize public transportation through cutting-edge technologies.

Accountabilities:

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Senior PHP Backend Engineer, remotely from anywhere.

As a Senior PHP Backend Engineer, you will be responsible for building and maintaining high-performance, scalable backend systems. You will collaborate with cross-functional teams to develop innovative features, optimize system performance, and enhance the overall user experience. Your role will involve writing clean, efficient, and well-documented code while ensuring best practices in software development. You will work in a fast-paced environment, deploying updates frequently and continuously improving backend infrastructure. Your contributions will directly impact the success and reliability of the platform.

Accountabilities:

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers.

What will you be doing?

We are seeking dynamic and imaginative software engineers to join our thriving team. You will have the opportunity to work on a range of cutting-edge web-based products, both existing and new, utilizing the latest technologies. As a valued team member, you will actively contribute to the design and implementation process, enabling you to shape the technical and design decisions of the team.

At our company, we embrace an innovative approach, leveraging the most recent technological advancements and tapping into the power of the open-source ecosystem. Our mission is to develop inventive solutions that capitalize on the latest developments in technology.

Tiger Analytics is looking for experienced Machine Learning Engineers 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. You will be responsible for:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements