Engineering Manager, Billing & Payments
New
C
Constant ContactFintech
Remote US or Remote, Ontario CanadaFull-TimeManager
Salary140,000 - 175,000 USD per year
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Job Details
- Experience
- 7+ years in software engineering, 5+ years leading engineering teams
- Required Skills
- AWSJavaKubernetesSpringReactCI/CDDistributed Systems
Requirements
- 7+ years in software engineering
- 5+ years leading engineering teams in production environments
- Experience with billing, payments, or fintech systems
- Familiarity with PCI-DSS
- Demonstrated a product engineering mindset by shaping roadmaps and connecting engineering decisions to customer and business outcomes
- Experience driving integrations with external platforms and third-party APIs at production scale
- Strong Java backend experience
- Familiarity with React and relational databases
- Solid distributed systems fundamentals and hands-on Kubernetes/AWS experience
- Strong observability and cross-service debugging skills
- CI/CD discipline with robust test coverage
- Hands-on AI tooling experience with demonstrable velocity or quality improvements
- Strong stakeholder management and communication skills
- Proven track record improving DORA metrics, MTTR, and team delivery reliability
Responsibilities
- Own end-to-end billing infrastructure and internal apps: payment gateways, subscription lifecycle, invoicing: Java/Spring backends, React-facing surfaces, deployed on Kubernetes (OKD/EKS)
- Architect for growth: idempotency, retry semantics, loose coupling, and clean failure modes are non-negotiable
- Drive integrations with external platforms, including payment processors, tax engines, CRM systems, and third-party billing providers by owning the full contract from API design through production reliability.
- Actively manage technical debt; balance new features, operational health, and debt reduction
- Own the customer and business outcome rather than just the technical delivery by understanding why features matter instead of just what to build.
- Collaborate with Product, Finance and Sales orgs as partner in shaping the roadmap: bring technical insight into prioritization, challenge assumptions, and propose solutions that go beyond the ask
- Be a fluent, hands-on user of AI tools (Claude Code, Cursor, Copilot, Bugbot) and drive your team to adopt an Agentic SDLC across design, implementation, testing, and deployment
- Set and hit commitments with the reliability that earns trust from product and business partners
- Build robust observability: distributed tracing, structured logging, metrics, and surface problems before customers do
- Hire for ownership mindset and AI-native fluency; coach engineers from task-completers to outcome-owners
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