דרושים » ניהול ביניים » DevOps Cloud Engineer

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun.



SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world!

Position Summary

Description:



We are looking for a skilled Systems Engineer to join our DevOps team. The ideal candidate should have hands-on experience working RHEL or related distributions, AWS, Git, Mac, Jenkins, and scripting languages, particularly Bash, Groovy, and Python. In this role, you will be responsible for supporting our mobile game teams within the European Time Zone. You will work with game teams to ensure that the infrastructure, CI/CD pipeline, is efficient, reliable, and meets their needs. Strong troubleshooting skills across various infrastructure components (servers, network, storage etc) and applications are required. The candidate must be proficient in infrastructure analysis and design concepts and implementations.



Key Responsibilities:

Work closely with game teams to understand their needs and to identify and implement improvements to their application stack, infrastructure, and CI/CD pipelines.

Troubleshoot issues with applications, network, infrastructure, builds and provide timely resolutions.

Develop, maintain, and optimize jobs and pipelines for our mobile games, using Jenkins and other relevant tools.

Implement automated build, deployment, and monitoring processes to ensure the quality and stability of games in development and production.

Develop and maintain scripts and tools to automate tasks and improve workflows.

Manage and configure On-Prem and AWS infrastructure.

Manage and configure build agents and servers on macOS and CentOS.

Estimate engineering effort, prioritize projects, plan implementations, and help roll out system changes.

Follow quality engineering processes to deliver high quality products and services.

Communicate infrastructure changes to the organization and ensure successful deployment.

Create detailed design documentation and system specifications.

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

As a DevOps Engineer, you'll design, build and maintain our database infrastructure, ensuring high availability, scalability, performance, backup and security compliance. You'll also collaborate with cross-functional teams to advance our products and offerings. In your day-to-day, you will:

Design and implement infrastructure for our DB services and configuration management solutions

Quickly troubleshoot, identify and resolve infrastructure issues

Take responsibility for the managed infrastructures security and collaborate with security teams to ensure the database platform compliance

Automate solutions for recurring tasks and issues

Collaborate with DBAs, developers, infrastructure and production teams to advance our products and offerings

Provide support on the managed platforms and systems during office hours and in out-of-hours on-call rotation