• Interfaces & Integrations: As part of our Integration team, you are responsible not only for developing and optimizing our interface architecture but also for finding creative solutions for data exchange • You build it, you ship it: From clean backend code to a deployment-ready service, you take full ownership of your features • Infrastructure & Cloud: You are comfortable with the Linux console and actively support building, maintaining and automating our CI/CD pipelines as well as our cloud environment (GCP) • Quality & Code Reviews: Writing clean, well-testable code (Clean Code) is second nature to you. By regularly participating in code reviews, you help drive our shared quality standards • Bug Analysis & Performance: You are solution-oriented and independently resolve bottlenecks and issues across the entire stack, from the API to server infrastructure

Role Description The Engineering Operations team builds and operates the infrastructure, observability, and automation systems that power our engineering environment. This role focuses on owning and improving AWS infrastructure, with an emphasis on infrastructure as code, operational reliability, and scalable platform practices across distributed systems. StackAdapt is a remote-first company and this role is open to candidates located within Canada. What You'll Be Doing: - Build, maintain, and improve shared infrastructure and platform services. - Own and optimize AWS services used across engineering. - Develop and manage infrastructure as code workflows, primarily with Terraform and Terrateam. - Support reliable, secure deployments across cloud and Kubernetes environments. - Improve observability through metrics, logs, and tracing. - Troubleshoot infrastructure and service issues in distributed systems. - Establish infrastructure standards, documentation, and operational practices. - Partner with engineering teams on resilient, scalable system design. Qualifications - 5+ years in DevOps, SRE, Infrastructure, or Platform Engineering. - Strong experience operating AWS infrastructure in production. - Hands-on experience with Terraform and IaC workflows at scale. - Experience with Kubernetes or other containerized environments. - Familiarity with observability tools such as Prometheus and Grafana. - Experience supporting reliability, incident response, and production operations. - Demonstrated ability to safely leverage AI to increase development efficiency. Requirements - Experience with Terraform, Terrateam, Ansible, Vault, Consul, Kubernetes, ArgoCD, Prometheus/Grafana, Packer, Redis, and GitHub Actions. - Familiarity with AWS networking concepts such as VPCs, routing, load balancers, and security groups. - Experience with large-scale distributed systems and infrastructure automation. Benefits - Highly competitive salary - Retirement/401K/Pension Savings globally - Competitive Paid time off packages including birthday's off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books etc) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events!

Role Description Join our Embedded Payments team as a DevOps Engineer to make a real impact every day. Reporting into the DevOps Engineering Manager, you'll help us build and scale the infrastructure behind our cloud-native payment orchestration platform that processes significant transaction volume across multiple Xplor brands. You are passionate about building reliable, secure systems and the automation that keeps them running smoothly while maintaining engineering best practices. - Design, build, and maintain AWS infrastructure using Terraform, with attention to scalability, cost, and PCI-scoped network segmentation. - Own and evolve the observability stack — SigNoz for distributed tracing and metrics, Grafana for dashboards, structured logging. - Build and maintain CI/CD pipelines in Bitbucket Pipelines, including deployment guardrails, automated rollback strategies, and environment promotion workflows. - Design and run performance and load tests with k6 or other custom tools as needed, establish baseline benchmarks, and partner with engineering to address bottlenecks before they reach production. - Participate in on-call rotations, lead incident response for infrastructure issues, and drive postmortems that produce durable fixes. - Define and track SLOs, error budgets, and operational KPIs for payment-critical services. - Improve deployment velocity and safety — faster pipelines, better preview environments, safer migration tooling. - Partner with security and compliance to maintain PCI DSS posture, support audits (Armanino/Vanta), and codify controls. - Manage cost and capacity across AWS — right-sizing, reserved capacity strategy, and identifying optimization opportunities. - Use AI-assisted tools effectively to accelerate infrastructure work without compromising review quality or security posture. Qualifications - 5+ years of professional DevOps, SRE, or Platform Engineering experience, with a Computer Science/Engineering degree or equivalent. - Strong hands-on AWS experience across compute (ECS, Lambda), networking (VPC, security groups), data (RDS/Aurora), and event-driven services (SQS, EventBridge). - Production Terraform experience — module design, state management, drift handling, and multi-environment patterns. - Experience operating an observability stack in production; familiarity with SigNoz, Grafana, or comparable tools (Datadog, New Relic, Prometheus). - Experience designing and running load tests with k6 or comparable tools (JMeter, Gatling, Locust). - Experience building and maintaining CI/CD pipelines (Bitbucket Pipelines, GitHub Actions, CircleCI, or similar). - Strong shell scripting ability or similar in a scripting oriented language (Python, Go, etc.). - Ability to read and understand back end and front end code in order to implement infrastructure more effectively. - Solid understanding of networking fundamentals such as sockets, routing, load balancing, SSL/TLS encryption, tunneling, firewalls/security groups, etc. - Understanding of access control and identity management (IAM, OIDC, Cognito, OAUTH in general or similar). - Comfort leading incident response and writing postmortems that drive systemic improvement. - Fluency with AI-assisted development tools (Claude Code, Cursor, Copilot, etc.) and an articulate point of view on where they help and where they don't. - Comfortable working on a 100% remote team and operating independently within an agile group. Requirements - Experience operating PCI-compliant or otherwise regulated environments. - Experience with payments infrastructure or other high-availability transactional systems. - Familiarity with Vanta or comparable compliance automation tooling. - Experience tuning PostgreSQL for high-throughput workloads. - Exposure to KMS-based cryptography, secrets management, and key rotation strategies. - Experience with chaos engineering or game-day exercises. Benefits - Paid Parental Leave benefit programs. - #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community. - Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program. - Access to free mental health support. - Flexible working arrangements.

• Own the platform architecture and technical roadmap for infrastructure, deployment, observability, and the AI platform • Set the engineering standards, patterns, and golden paths for infrastructure as code, CI/CD, and AI tooling • Act as hands-on technical authority and mentor to engineers across teams • Manage all cloud infrastructure as code in Terraform • Enforce policy-as-code to meet security and cost guardrails • Design and deploy AWS infrastructure for performance, availability, recoverability, and security • Build and operate CI/CD pipelines for large-scale applications on AWS • Own release management and rollback • Lead the SLI/SLO/SLA program and manage error budgets • Provision and operate the AI/ML platform • Operate and support the agentic and MCP tooling used across engineering and operations • Manage cloud cost (FinOps)