Software Development Engineer
12-Month Contract - Potential to Extend
100% REMOTE
Desired candidates should have:
- Strong Python development experience
- AWS and preferably Google Cloud Platform experience – infrastructure and deployment
- Experience building production software
- Ability to work closely with Product Managers
- Strong product thinking
- AI-first software development experience
- Hands-on experience using tools such as:
- Claude
- Codex
- Similar AI coding assistants
Candidates should be able to:
- Translate business requirements into AI prompts
- Use AI to accelerate development
- Validate AI-generated code
- Create comprehensive testing and control plans
- Understand software architecture rather than simply writing code.
Position Specific Description
We are seeking a high-caliber Principal Software Development Engineer to join a team building customer-centric solutions for the business. This role is designed for a top-tier engineer who combines deep technical expertise with strong product intuition and business acumen. You will tackle ambiguous challenges, rapidly prototype solutions directly with stakeholders, and architect scalable, secure systems. You operate with high autonomy, acting as the critical technical bridge that turns business objectives into high-performing software.
Key Responsibilities & Expectations
1. Engineering & System Design
- Architect in Ambiguity: Translate loosely defined business problems into clean, robust architectures while anticipating edge cases.
- Rapid Prototyping: Where applicable, build functional prototypes with stakeholders to validate ideas instantly and accelerate the feedback loop.
- Full-Stack Delivery: Own features end-to-end across services, data, and UI, making pragmatic technology choices and avoiding unnecessary complexity.
2. Engineering Productivity with AI
- AI-Assisted Development: Use agentic AI tools throughout the SDLC to move faster, while maintaining full accountability for code quality, correctness, and security.
- Feedback Loops for Coding Agents: Design quality gates, spec-driven workflows, and deterministic checks that catch agent errors before humans do.
- Critical Adoption: Evaluate AI tools and patterns critically, adopting what improves the team's output and discarding what doesn't.
3. Reliability & DevSecOps
- Security-First Mindset: Embed security and compliance into the core of the development lifecycle, proactively mitigating vulnerabilities through secure design.
- Production Standards: Build well-tested, maintainable software. Implement CI/CD pipelines to ensure systems are resilient, scalable, and optimized for an exceptional end-user experience.
- Operational Readiness: Make production behavior measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery paths into systems from the start.
4. Execution & Business Ownership
- Drive Outcomes: Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early.
- Technical Translation: Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome-oriented terms.
- Partnering Across Functions: Engage security, risk, compliance, and platform teams early, communicate technical tradeoffs clearly, and make the case when a project calls for a different approach.
5. Culture
- High Performance: We value high standards, continuous learning, and collaborative problem solving, creating an environment where talented individuals can thrive alongside exceptional teammates.
- Ownership & Accountability: Team members are trusted to take ownership of their work, exercise thoughtful judgment, and follow through on commitments.
- Collaborative Autonomy: Teams operate with a high degree of trust and autonomy while working together to make decisions aligned with business, customer, and operational goals.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 10+ years of experience designing, supporting, and deploying modern, enterprise-grade software systems.
- Skilled at using agentic AI tools throughout the SDLC.
- Hands-on expertise with technologies such as Python, Vue.js, AWS/Google Cloud Platform cloud platforms, Terraform, APIs, and cloud-native architecture patterns.
- Proven ability to interact directly with business stakeholders, build trust, and operate autonomously in fast-paced environments.
