דרושים » תוכנה » Backend Infrastructure Engineer

We are on the lookout for a dynamic Senior Infrastructure Engineer - a role for someone looking to build a new development experience from the ground up. This role is part of a newly formed team, aimed at boosting productivity in the R&D department. You will be working in collaboration with other development teams and DevOps/DevSecOps to provide innovative solutions to infrastructure requirements, while maintaining the highest standards of security and compliance required by Mastercard.
Were looking for someone who is able to think outside the box and come up with solutions to long-standing problems which have been impacting development productivity. Someone who has the customer in mind, be it a peer or a Mastercard customer. The candidate must be enthusiastic about overcoming common-day pain points.
The main goal of this role is to solve problems and issues at the source, preferably before they even become problems, ensuring they dont roll over to other development teams and require the solutions to be re-applied everywhere.

Role:
Building and maintaining a set of libraries and tools to support infrastructure operations.
Interacting with our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more.
Working with DevSecOps and DevOps to ensure alignment with the organizational requirements and standards.
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools.
Documentation - everything we do must be accompanied by clear reference guides to ensure that the products are put to good use and that maintenance is easy and effective for anyone wishing to contribute.
Work closely with other developers in designing and supporting new features and services and troubleshooting problems.
Apply, integrate and improve open source tools to extend operations capabilities and efficiency.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

As a software developer in the backend team, you will be a part of delivering new features, as well as building the infrastructure for the performance and scale of the product.
What you’ll do: Implement and deliver new features according to products’ requirements Implement enhancement features and build the infrastructure to support the scale of the product. Participate in design discussions and code reviews Develop unit and integration tests Assist in solving real-time customer issues


Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are seeking a Backend Developer with a deep understanding of web application architecture, server-side programming, and a passion for optimizing backend systems. The ideal candidate will thrive in a collaborative environment and bring a wealth of experience to help maintain and improve the performance of our backend systems, ensuring high availability, scalability, and reliability.
As a Backend Developer, you will play a key role in developing and maintaining robust, efficient, and scalable Python-based backend systems. This includes building and optimizing data storage solutions, implementing APIs, and managing databases using clean and maintainable code. Youll be part of a dynamic team dedicated to solving complex technical challenges and delivering solutions that meet client and team requirements.

Role:
* Build and optimize Python-based backend services and APIs to deliver real-time content recommendations with low latency across multiple data centers.
* Handle large-scale data processing and ensure the performance and scalability of backend systems.
* Design and implement efficient data storage and retrieval mechanisms using databases like PostgreSQL, MySQL, and NoSQL systems (Redis, Elasticsearch).
* Integrate with cloud platforms (AWS, GCP, or similar) to deploy and manage backend services, ensuring high availability and fault tolerance.
* Collaborate with cross-functional teams to understand business requirements and translate them into effective backend solutions.
* Write clean, maintainable, and well-documented Python code that adheres to industry best practices.
* Stay up-to-date with emerging technologies and trends in backend development, and continuously improve the backend stack.

We are seeking a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.

R-241211

We are seeking a Backend Developer with a deep understanding of web application architecture, server-side programming, and a passion for optimizing backend systems. The ideal candidate will thrive in a collaborative environment and bring a wealth of experience to help maintain and improve the performance of our backend systems, ensuring high availability, scalability, and reliability.
As a Backend Developer, you will play a key role in developing and maintaining robust, efficient, and scalable Python-based backend systems. This includes building and optimizing data storage solutions, implementing APIs, and managing databases using clean and maintainable code. Youll be part of a dynamic team dedicated to solving complex technical challenges and delivering solutions that meet client and team requirements.

Role:
Build and optimize Python-based backend services and APIs to deliver real-time content recommendations with low latency across multiple data centers.
Handle large-scale data processing and ensure the performance and scalability of backend systems.
Design and implement efficient data storage and retrieval mechanisms using databases like PostgreSQL, MySQL, and NoSQL systems (Redis, Elasticsearch).
Integrate with cloud platforms (AWS, GCP, or similar) to deploy and manage backend services, ensuring high availability and fault tolerance.
Collaborate with cross-functional teams to understand business requirements and translate them into effective backend solutions.
Write clean, maintainable, and well-documented Python code that adheres to industry best practices.
Stay up-to-date with emerging technologies and trends in backend development, and continuously improve the backend stack.

R-241031

We are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.

We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.

Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.

We are seeking a highly skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions.
This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.
Key Responsibilities:
Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

As a software developer in the backend team, you will be a part of delivering new features, as well as building the infrastructure for the performance and scale of the product.


What youll do:

Implement and deliver new features according to products requirements.

Implement enhancement features and build the infrastructure to support the scale of the product.

Participate in design discussions and code reviews.

Develop unit and integration tests.

Assist in solving real-time customer issues.

The company is growing rapidly, and we seek a DevOps engineer to join our technology department. In this role, you will be responsible for the operations and infrastructure of our SaaS solution and for the tools that make our R&D productive and efficient.

The Role

Design and implement end-to-end DevOps delivery solutions
Collaborate with the R&D to optimize development, deployment, reliability, failover scenarios, and scale
Work on CI/CD, automations and DevSecOps domains
Lead POC and tech selection processes from idea to implementation.
Manage centralized observability and governance solutions
Develop and integrate infrastructure tools in support of our production
Automate the provisioning and configuration
As a core member of the team, you will participate in 'On-Call' duties on production systems, working in non-conventional hours including weekends and holidays (from time to time)