Super Technologies
sports betting
SeniorSoftwareEngineer(Backend)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer (Backend) at Super Technologies. Skills: Backend software engineering, Scalable software solutions, CloudNative platform, Observability tooling. Design and implement scalable and robust software solutions. Enhance existing platform to increase business functionality driven by end-user configuration”
What You'll Achieve.
Increase the amount of business functionality driven by end-user configuration; Increase system automation (scale, resiliency, deployment); Speed up delivery, scale, and resiliency; Better understand the capabilities of our systems; Enhance team productivity and efficiency
Industry & Context.
Simple solutions
What They're Looking For.
Must Have
5 years of hands on experience in a large scale production environment, Experience engineering high-quality, highly scalable software in any object-oriented or Functional language, Willingness to learn new technologies, Talent for clean coding, simple solutions, automated testing, and continuous deployment, Passion for working in the cloud and automation, Experience working with distributed systems, Experience building and improving upon observability, Passion for creating user-centric, data driven solutions
Nice to Have
Experience in AWS (Cloudformation, MSK, S3, Cognito etc. . ), Interest in Functional Programming, Knowledge of Kafka, Front end development experience in React
What You'll Do.
Design and implement scalable and robust software solutions
Enhance existing platform to increase business functionality driven by end-user configuration
Enhance system automation (scale
enhance and create common platform components and libs
Build on CloudNative platform
enabling more use of AWS technology
Build on observability tooling and infrastructure
Grow the engineering community
Lead initiatives and tasks and drive them to completion
Drive continuous improvement initiatives to enhance team productivity and efficiency
How You'll Work.
Team & Collaboration
Collaborating closely with geographically distributed engineering teams; Working with technical and non-technical stakeholders from the wider organization to understand and drive requirements and improvements across the platform
Process & Methodology
Leading initiatives and tasks and driving them to completion
Full Job Description
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us? We're are looking for someone who has: A minimum of 5 years of hands on experience in a large scale production environment. Has experience engineering high-quality, highly scalable software in any object-oriented or Functional language A willingness to learn new technologies A talent for clean coding, simple solutions, automated testing, and continuous deployment A passion for working in the cloud and automation Experience working with distributed systems Experience building and improving upon observability A passion for creating user-centric, data driven solutions Bonus points for: Experience in AWS (Cloudformation, MSK, S3, Cognito etc..) An interest in Functional Programming Knowledge of Kafka Front end development experience in React What you'll be doing: Collaborating closely with geographically distributed engineering teams to design and implement scalable and robust software solutions. Enhancing the existing platform to increase the amount of business functionality driven by end-user configuration Enhancing system automation (scale, resiliency, deployment) Maintaining, enhancing and creating common platform components and libs (AWS, Erlang, Go, Kafka) Working with technical and non-technical stakeholders from the wider organization to understand and drive requirements and improvements across the platfo
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