Senior full stack engineer

Company Overview:
Nodus is a fast-growing SaaS technology company building the modern data stack for marketing and business performance. Our platform powers growth teams with real-time insights, automated reporting pipelines, and deep data integrations that bridge the gap between fragmented marketing systems and business-critical decisions.

Under the hood, we’re building a flexible, cloud-native platform that supports scalable ETL workflows, AI-powered analytics, and distributed data orchestration. Engineers at Nodus work closely with product and growth teams to solve complex technical challenges that have direct impact on customer outcomes.

We’re a company with an engineering culture built around autonomy, ownership, and speed. Our team thrives in high-agency environments, values clean system design, and embraces the challenges that come with building foundational infrastructure for data and automation.

Position Overview:
We’re looking for a Senior Software Engineer with deep expertise in Python, Docker, and general software development fundamentals to join our team. This role requires someone who can navigate complex systems, contribute across a wide feature surface area, and own infrastructure-level challenges.

What You’ll Be Doing

• Building and maintaining scalable, containerized services using Docker
• Developing backend systems in Python, with a preference for FastAPI, Pydantic, and related tooling
• Contributing to architecture decisions for distributed systems and cloud infrastructure
• Writing clean, testable code with a strong emphasis on maintainability and system design
• Owning end-to-end solutions — from design to deployment and observability

What We’re Looking ForMastery in:

• Docker & Cloud Infrastructure
• Deep understanding of how Docker works under the hood
• Ability to containerize new functionality from scratch
• Practical experience deploying and debugging Dockerized systems in the cloud
• Python
• Strong command of core language features and standard libraries
• Experience with or ability to quickly learn frameworks like FastAPI and tools like Pydantic
• Comfort working in large, modular Python codebases
• Software Development Fundamentals
• Proficiency with Linux (e.g., process model, shell scripting, file systems)
• Understanding of distributed system principles, even at a high level
• Ability to reason about trade-offs, performance, reliability, and correctness

Additional Skills (Nice to Have)

Experience with the following tools or technologies is a bonus:

• React – helpful for contributing to frontend interfaces or internal tools
• Terraform – useful for managing infrastructure-as-code in our deployment environments
• PostgreSQL – experience designing schemas, optimizing queries, or managing relational data at scale

We Value

• Curiosity, clear thinking, and a bias toward ownership
• The ability to work independently in ambiguous problem spaces
• Willingness to dive deep into unfamiliar technologies when needed

Qualifications

• 3 to 5 years of professional software engineering experience, with a focus on backend development and system-level thinking
• Proven expertise in Python, with experience building production-grade services and working in modular codebases
• Strong working knowledge of Docker, including containerizing services from scratch and deploying to cloud environments
• Familiarity with modern Python frameworks and tooling, such as FastAPI, Pydantic, or similar
• Solid grasp of software development fundamentals, including data structures, algorithms, concurrency, and system design
• Comfortable navigating Linux environments, writing shell scripts, and reasoning about process models and system behavior
• Exposure to distributed systems concepts and experience working with scalable cloud infrastructure (e.g., AWS, GCP, or Azure)
• Demonstrated ability to work independently, manage ambiguity, and take ownership of complex technical challenges