DevOps Engineer (FinTech & High-Performance Systems)

Location: Remote - Fully Remote throughout EU

Compensation: $95K - $105K

We are seeking to revolutionize the FinTech industry and establish a new paradigm for financial technology. We need the best minds to help us achieve this ambitious goal.

As a DevOps Engineer, you will work directly with our engineering team in a fast-paced, high-stakes environment, tackling complex infrastructure problems. You are obsessed with achieving good architecture, efficiency, and resilience, aiming for nothing but the best product for our customers. Your speed, delivery capability, and knack for elegant solutions will make you a pillar of our engineering team.

You will be instrumental in designing, building, managing, and automating the high-availability infrastructure that powers our core financial and crypto services. This role demands deep technical expertise combined with a passion for continuous delivery and security.

What You’ll Be Working On

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

Machine Learning Engineer - Recommendation Systems

Location: London (Office)

Compensation: $250K - $300K

We are a high-growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated over $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high-impact role requiring end-to-end ownership of critical features, ensuring our models scale effectively to handle significant real-time volume and user activity.

Key Responsibilities:

Senior Software Engineer

Location: Williamsburg, Brooklyn, NYC (100% On-site)

Compensation: $150,000 - $225,000 (Base Salary) + Competitive Equity

We are building the future of digital advertising, transforming the $600B ecosystem by enabling brands to buy creator media like they buy Meta or Google ads. Our AI-native platform delivers performant, scalable, and authentic creator-led marketing, compressing weeks of manual sponsorship work into seconds. Backed by top-tier VCs and named to Forbes’ list of Next Billion Dollar Startups, we are seeking a Senior Software Engineer to join as a foundational member of the engineering team.

As a Senior Software Engineer, you will work directly with our founders, designing, building, and launching new product features from the first line of code to production. You will have significant autonomy and ship real functionality every week, tackling complex engineering problems that directly shape our product and business outcomes.

In this role, you will:

InfyStrat is looking for a highly skilled Platform Engineer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining the infrastructure and platforms that support our software applications. You will work closely with development teams to ensure that our platforms are scalable, reliable, and efficient. The ideal candidate will have a solid background in platform engineering and a passion for leveraging modern technologies to improve system performance and customer satisfaction. At InfyStrat, we value innovation, teamwork, and continuous improvement, and we are excited to welcome someone who shares these values.

Responsibilities

• Design and implement robust and scalable platform architectures to support application deployment.
• Monitor platform performance and troubleshoot issues to ensure high availability and reliability.
• Collaborate with software development teams to optimize applications for the platform.
• Automate infrastructure provisioning and management using DevOps tools.
• Implement security best practices to protect the platform and data.
• Stay current with emerging technologies and industry trends to continuously enhance the platform.
• Document platform architecture, processes, and configurations for internal knowledge sharing.

Requirements

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 Product Engineer in United States.

As a Senior Product Engineer, you will play a key role in shaping and enhancing the user experience by designing, building, and launching innovative features for a high-impact platform. You will work closely with cross-functional teams, including product managers, designers, and data scientists, to improve and scale the provider search and recommendation system. Your expertise in full-stack development will allow you to deliver high-quality solutions that will make a direct impact on the healthcare experience for users. This role requires both technical leadership and the ability to work collaboratively in a fast-paced, agile environment.

Accountabilities:

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. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. 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 a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, 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.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

InfyStrat is on the lookout for skilled and driven Data Engineers with expertise in Denodo to join our innovative data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data integration solutions that leverage Denodo’s data virtualization platform. Your role will be pivotal in transforming complex data into actionable insights, thereby empowering our stakeholders to make data-informed decisions. We are seeking candidates who are not only technically proficient but also enthusiastic about working with diverse datasets and developing efficient data pipelines. At InfyStrat, we value creativity, collaboration, and continuous learning. You will be part of a vibrant team that thrives on tackling challenges and driving the future of our data capabilities. If you are passionate about data engineering and are well-versed in Denodo, we invite you to apply and help us shape the data landscape of InfyStrat.

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 Staff Data Platform Engineer in United States.

As a Staff Data Platform Engineer, you will play a pivotal role in shaping the data infrastructure of the organization. You will be responsible for designing and building robust, scalable, and high-performance data platforms that enable actionable insights and decision-making across the company. The role requires deep technical expertise in data engineering, with a focus on building systems that streamline data access and improve data quality. You will collaborate closely with cross-functional teams, including engineering, data scientists, and business stakeholders, to ensure that data is reliable, accessible, and actionable.

Accountabilities: