Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Software Engineer II role.
Rezi rewrites your resume against Invoca's job description. Free.
Tailor your resume to this Senior Software Engineer II role.
Rezi rewrites your resume against Invoca's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer II posting at Invoca — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer II posting at Invoca — free, in seconds.
About the Role
This role is on our Integrations team, connecting Invoca's AI agents to customer systems like CRMs, ad platforms, and contact centers. We own the end-to-end surface, including vendor connectors, webhooks, and production monitoring. The goal is to make integrations self-serve and reliable, utilizing Ruby on Rails and TypeScript, with AI agents assisting in code generation and review. This role is defined by outcomes: speed, quality, and trust in shipping.
Responsibilities
- Own projects from scoping through shipping and confirm outcome achievement.
- Recognize and resolve dependencies and conflicts with other systems and teams.
- Define and uphold quality standards for owned work.
- Own technical design for features or services, deciding what to include and exclude.
- Weigh testability, scalability, and maintainability, favoring the simplest effective approach.
- Use AI agents routinely for writing production code, including running them in parallel and reviewing output efficiently.
- Build personal skills, agents, or tooling to improve team speed.
- Improve shared development system components.
- Determine when AI can run autonomously and when human review is necessary.
- Build customer-facing features on top of AI systems, handling non-deterministic outputs, evaluations, latency, and debugging.
- Establish safe, observable, and auditable ways to integrate AI into the product.
- Understand customer problems before building and confirm solutions afterward.
- Participate in customer feedback sessions and use metrics to guide future development.
- Partner with Product Managers to prioritize based on measurable impact.
- Troubleshoot independently across team services.
- Contribute to post-incident reviews and recommend process/monitoring fixes.
- Spend review time on high-risk areas and identify gaps in tooling.
- Lead team discussions, solicit differing opinions, and support team decisions.
- Communicate clearly with cross-functional partners.
- Help teammates improve their AI collaboration skills through pairing, demos, and documentation.
Requirements
- 5+ years of professional software engineering experience with a track record of measurable impact in production environments.
- At least one full year of actively using AI tools and agents to write production code as a core part of the daily workflow.
- Experience shipping customer-facing, AI-powered product features with real users.
- Experience building skills, agents, or developer tooling that improved team speed.
- Sound judgment about when AI can run autonomously and when human review is required.
- A product-engineer mindset: ability to take an open-ended problem and ship a solution.
- Comfort across the stack with depth where the team leans.
- Eagerness to automate and offload work to AI.
- Strong technical judgment with a bias toward simplicity and adoption.
- Ability to connect technical work to customer and business outcomes and communicate it clearly.
- Shipped a third-party integration and operated it afterward (OAuth, webhooks, vendor APIs, retries, idempotency, failure detection).
- Built or run an MCP server or other tool-calling integration used by agents with real customers, including credential separation and verification.
- Direct and kind communication style.
- High agency: act without waiting for permission on reversible decisions.
- Ability to raise the bar by thinking from first principles.
- Create a safe environment for asking questions and admitting mistakes.
- Bring intensity to work, meeting deadlines, flagging risks early, and finishing tasks.
- Dig for the real problem before responding to requests.
Skills
- RAG
- Evaluations
- Agentic products
- Chatbots
- Conversational bots
- Evaluating and improving AI agents
- Monitoring
- Tracing
- Simulation data
- Building MCP tools
- Agentic pipelines
- Background jobs and async processing (Kafka or similar)
- Third-party integrations
- Ruby on Rails
- TypeScript
- JavaScript
- MySQL
- OAuth
- Webhooks
- Vendor APIs
- Retries
- Idempotency
- MCP server
- Tool-calling integration
Experience Level
- Senior
Salary/Compensations
- $139,000–$208,000
Benefits
- Day-One Health Benefits – Medical, dental, and vision coverage
- Mental Wellbeing support and Employee Assistance Program (EAP)
- Wellness Subsidy for gym memberships and fitness classes
- Flexible Time Off
- 20 U.S. paid holidays, including a winter break
- Up to 12 weeks of 100% paid Family Leave
- Up to 12 weeks of 100% paid Medical Leave
- Access to enterprise-grade AI tools
- Professional Development reimbursement up to $1,000 annually
- 401(k) plan with company match up to 4%
- Recognition Programs
- InVacation (Sabbatical) after seven years of service
About the Company
- Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth.
- Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.