Senior Software Engineer

• Portland, ME - Hybrid (Remote and In Person)

We are looking for a senior, hands-on software engineer to build and ship across the full stack of a production cybersecurity platform used by thousands of organizations.

You will own features end to end, from understanding the problem through technical specification, implementation, testing, and production operation. You will work closely with our Director of Engineering, engineers, and product team, reporting to the Director of Engineering.

This role is open to candidates in the Portland, Maine area or working remotely, with flexibility for hybrid arrangements.

Defendify makes cybersecurity possible for small and midsized organizations through an all-in-one platform and managed security services. We have been named to the Inc. 5000 list of America's fastest-growing private companies three years running, and our platform spans 13 security modules across three protection layers, all delivered through a single product.

This is a generalist role on a lean, high-performing engineering team responsible for a sophisticated, multi-layered cybersecurity platform. You will work across backend services, frontend features, data pipelines, integrations, and infrastructure depending on what the work requires. We're an experienced, tight-knit team where collaboration is valued, ownership is paramount, and everyone has an opportunity to shape the product and the systems behind it.

The platform runs on a service architecture built primarily in Go and Node.js using technologies such as Express, NATS messaging, Open Tofu, Postgres, Valkey, Vue and more. You do not need extensive experience with every layer today, but you should be comfortable picking up new languages and systems quickly.

• Architect, build, and ship features across our platform, with a focus on backend services, automation, and systems, while contributing across the stack as needed
• Build and maintain integrations with external services
• Design and deliver secure, well-tested, maintainable code, with the rigor and care expected of a cybersecurity platform
• Investigate and resolve production issues, participate in on-call support, and help strengthen monitoring and reliability
• Improve the systems you work in, whether that means better tests, cleaner interfaces, stronger observability, or simpler operations
• Participate in architectural decisions, code review, and planning

We use AI tools as part of our daily engineering workflow to accelerate research, implementation, testing, and review. These tools are a real multiplier, but they do not replace engineering judgment. Knowing when to trust, verify, or override AI output is a key part of the job.

Architecture decisions are documented and deliberate. We run structured sprints, maintain a clean CI pipeline, and take production reliability seriously. Engineers here get to own the full lifecycle of their work, from infrastructure through testing and production operations.

• You help protect the consistency and conceptual integrity of the platform as it continues to grow
• You consistently deliver secure, well-tested, maintainable software that performs reliably in production
• You pick up context quickly and contribute where the work is, not just where you are most comfortable
• Your code reviews improve quality, share knowledge, and strengthen the codebase
• You identify problems early and surface them clearly
• You navigate ambiguity, make sound technical decisions, and communicate tradeoffs clearly

• Have 5+ years of professional, hands-on software engineering experience designing, building, shipping, and maintaining production software and systems
• Are strong in at least one of Go or Node.js and willing to work across both
• Have meaningful experience with relational databases, particularly PostgreSQL
• Are comfortable with infrastructure and operations, not just application code
• Communicate well in writing and think clearly about technical tradeoffs
• Approach security thoughtfully, especially if you have worked in a security-adjacent domain
• Use modern development tools, including AI-assisted workflows, as a natural part of how you work

You will spend most of your time writing code, reviewing code, and solving technical problems. You will also investigate production behavior, collaborate on architectural design, and improve how we operate.

We work in structured sprints with clear priorities, but the environment rewards…