Own the technical direction of process automation, designing and building AWS services, event-driven workflows, scheduled jobs, and system integrations with Node.js or Python. Develop scalable solution architectures, deployment and infrastructure practices, monitoring, alerting, security, and compliance controls. Lead incident response, root cause analysis, documentation, design reviews, and engineer mentorship while partnering with business and DevOps teams.
This role is a current vacancy , and we are actively seeking a candidate to join the team.
Responsibilities:- Own the technical direction of the process automation portfolio, including architecture, standards, patterns, and technology choices.
- Partner with business teams to identify automation opportunities, map processes, and translate them into technical designs and delivery plans.
- Design and build AWS automation services and workflows using Node.js and/or Python, including event-driven pipelines, scheduled jobs, multi-step workflows, and system integrations.
- Create solution designs covering architecture, data flows, failure and retry strategies, and rollback plans.
- Partner with DevOps on deployment, infrastructure as code, environments, secrets, cost control, and production readiness.
- Champion engineering standards across code quality, testing, observability, error handling, and documentation.
- Build monitoring and alerting from day one and lead incident response and root cause analysis.
- Lead and mentor engineers, reviewing designs, removing blockers, and raising the technical bar.
- Ensure solutions meet security, privacy, audit, and compliance requirements, including PII handling and access control.
- Maintain runbooks and handover documentation.
We use Metaview, an AI-powered note-taking tool, during interviews to help capture key discussion points. The tool is used for note-taking purposes only and does not evaluate candidates or influence hiring decisions. Interview notes are used solely for recruitment purposes and are handled in accordance with applicable U.S. and Canadian privacy laws.
Salary: $120,000-$150,000 CAD
#LI-OP1
Qualifications Experience Preferred 6+ years of software engineering experience delivering production systems. Proven experience building automation, workflows, and system integrations end to end. Experience in Casino Gaming, Online Gaming, Sports Betting, or another regulated industry is preferred but not required. Excellent stakeholder management skills, working directly with business and non-technical teams. Hands-on expertise in Node.js and/or Python, APIs, and event-driven architecture. AWS experience, including Lambda, Step Functions, EventBridge, SQS/SNS, S3, API Gateway, and IAM. System design skills with a focus on scalability, reliability, and failure handling. Experience with Infrastructure as Code, CI/CD, and third-party integrations. Excellent understanding of data, observability, security, privacy, and PII. Familiarity with workflow orchestration and AI/LLM-powered automation is a plus.Bally's Interactive Toronto, Ontario, CAN Office
Toronto, ON, Canada
Similar Jobs
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads the technical strategy, roadmap, architecture, and global delivery of cloud-native Core Network User Plane sub-services. Oversees engineering practices including CI/CD, SRE, DevOps, security, compliance, scalability, reliability, and cost efficiency across incubation, trials, commercial deployment, and scale-up. Builds engineering culture, establishes ways of working and performance metrics, and collaborates with global leadership, architects, engineers, and SRE teams to deliver customer-centric telecommunications products.
Top Skills:
3Gpp4G/5G Core NetworksAgileAWSAzureCi/CdCloud-Native ArchitectureDevOpsDistributed CloudDpdkEbpfEdge ComputingGCPHyperscalersPublic CloudSite Reliability Engineering (Sre)Sr-IovTraffic SteeringUpf
eCommerce • Fashion • Retail • Sales • Wearables • Design
Leads store operations for Kate Spade New York, supporting sales performance, customer experience, team development, and achievement of business goals. The role requires strong interpersonal skills, strategic agility, creativity, customer focus, and the ability to provide feedback and build effective teams. Candidates must regularly lift 25 pounds, occasionally lift up to 50 pounds, and maneuver throughout the sales floor and stockroom.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.
Top Skills:
SparkLlm-Based AgentsPythonUnix
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



