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Founded in 2011 by Angelina Lawton, Sportsdigita was born from a vision to transform how franchises communicate their offerings. Inspired by her experiences with the NHL's Tampa Bay Lightning, Lawton saw the need for dynamic, engaging sales and marketing tools. This led to the creation of DIGIDECK, a cloud-based presentation platform designed to empower teams to tell their stories effectively within the evolving digital landscape.Sportsdigita is a leading provider of cloud-based presentation software that empowers sports teams, organizations, and adjacent industries. Our flagship product, DIGIDECK, was born from a sports-industry need but has rapidly expanded, transforming traditional presentations into dynamic, interactive experiences. DIGIDECK streamlines sponsorship and ticketing workflows, enabling teams to deliver compelling sales pitches and customized proposals that drive revenue. Its data analytics and real-time engagement tracking provide valuable insights into audience behavior, optimizing sales processes for maximum ROI.Our vision is a future where DIGIDECK is the cornerstone of digital presentation technology. Originally designed for sports, DIGIDECK's innovation has le

Overview

DIGIDECK is the presentation platform behind sales teams at professional sports franchises, arenas, live entertainment venues, and destination marketing organizations. When one of our customers walks into a room to close a seven-figure sponsorship, they are presenting on our platform, live, often on someone else's WiFi, with no room for a loading spinner.

That makes our infrastructure the thing standing between a rep and a closed deal. You would be joining a small engineering team where the environment you are working in is the whole environment, not one service inside a hundred. Your work is visible and your decisions stick.

What You Will Own

These are the areas you'd start contributing to in your first few months, with support from the team.

AWS infrastructure.Help maintain our ECS and EC2 workloads across development, staging, and production - clusters, services, tasks, and the compute underneath. Work with the networking layer (VPC, subnets, security groups, load balancers) and the delivery layer (CloudFront, S3, Route 53, ACM).

Infrastructure as code.Write and extend Terraform. We already have modules and remote state in place; you'll add to them and help keep environments consistent rather than snowflaked.

Automation.Replace recurring manual work with Python and Bash. Staging database refreshes, certificate renewals, environment syncs between AWS accounts - the tasks that eat an afternoon every month are the ones we want automated.

CI/CD.Maintain and troubleshoot our Bitbucket Pipelines workflows and self-hosted runners.

Monitoring.Build and extend Grafana dashboards, tune alerting, and investigate performance and availability issues. A meaningful part of this job is noticing something is wrong before a customer tells us.

Production support.Join the on-call rotation once you're ramped, help troubleshoot ECS agent issues, networking problems, and deployment failures, and write the follow-up - including what we're changing so it doesn't recur.

Documentation.Keep infrastructure and runbooks current in Confluence. On a small team the runbook you write matters as much as the fix you ship.

What You Will Grow Into

Not day-one expectations. This is where the role goes.

  • Databases:deeper support of RDS and MongoDB Atlas, including automated environment synchronization and refreshes
  • Security and access:IAM, KMS, Secrets Manager, and identity management through JumpCloud and SSO integrations
  • SOC 2 Type II:supporting compliance activities, maintaining audit evidence, and monitoring controls
  • Cost optimization:autoscaling policies, scheduled scale-down of non-production environments, and finding AWS spend we don't need
  • Kubernetes:we don't run EKS today. If and when we do, you'd help build it - which is a rare thing to get to do at this stage of a career

Our stack

You will not have used all of this. We expect you to learn most of it here.

Cloud

AWS - ECS, EC2, VPC, ALB, CloudFront, Route 53, S3, RDS, ElastiCache/Redis, ECR, Lambda, SSM, IAM

IaC

Terraform (modules, remote state), CloudFormation

Containers & CI/CD

Docker, Bitbucket Pipelines, self-hosted runners

Databases

Amazon RDS, MongoDB Atlas, Redis

Security

IAM, KMS, Secrets Manager, ACM, JumpCloud, SSO, SOC 2

Monitoring

Grafana, AWS monitoring and logging

Scripting

Python, Bash, Linux shell

Tooling

Git, Bitbucket, Jira, Confluence

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