Senior Software Engineer

Key Responsibilities

• Design and implement robust, scalable software solutions for complex, team-sized projects spanning multiple sprints
• Lead technical design and architecture discussions within the team, ensuring solutions align with platform strategy
• Own the end-to-end delivery of major features: from technical design through implementation, testing, deployment, and monitoring
• Drive engineering best practices including code quality standards, testing strategies, CI/CD improvements, and effective use of AI-assisted development tools
• Mentor and coach IC1 and IC2 engineers, accelerating their technical growth through pairing, code reviews, and guidance
• Be accountable for the operational health and reliability of the team's systems, including incident response and post-mortems
• Facilitate technical discussions and build consensus on architectural and design decisions
• Collaborate closely with Product Managers, Designers, and stakeholders to shape the team's roadmap and technical approach
• Identify and drive process improvements that increase team velocity, quality, and developer experience
• Proactively identify technical debt, risks, and opportunities, proposing and leading initiatives to address them
• Produce high-quality technical documentation including design documents, ADRs, and runbooks
• Represent the team's technical perspective in cross-team discussions and planning forums

Required Technical Skills & Qualifications

• Deep software engineering fundamentals: data structures, algorithms, design patterns, system design, and distributed systems principles
• Strong proficiency in at least one programming language, with a proven track record of picking up new languages, frameworks, and paradigms quickly
• Proven ability to design and implement scalable, maintainable, and well-tested software systems regardless of the underlying tech stack
• Strong experience with modern development practices: TDD/BDD, CI/CD, code reviews, and automated testing
• Solid understanding of cloud-native concepts, infrastructure patterns, and platform-level thinking
• Experience with data modelling, query optimization, and working across different database paradigms
• Understanding of API design, service-oriented architectures, event-driven patterns, and integration strategies
• Experience with monitoring, observability, and incident management practices
• Proficiency in leveraging AI-assisted and AI-driven development tools (e.g., GitHub Copilot, Cursor, Claude Code, agentic coding workflows) to accelerate development, architectural exploration, and technical problem-solving
• A tech stack agnostic mindset: we value engineers who master fundamentals and use AI-assisted tooling to work effectively across any technology
• 5+ years of professional software development experience, with demonstrated growth in scope and complexity

Nice to Have Technical Skills & Qualifications

• Experience working across multiple programming languages, frameworks, or tech stacks in production environments
• Experience with containerization, orchestration, and infrastructure-as-code concepts
• Experience leading or contributing to cross-team technical initiatives
• Experience in the automotive, DMS, or SaaS product domain
• Demonstrated ability to leverage AI-driven development workflows (agentic coding, multi-agent systems, prompt engineering) to solve complex engineering problems
• Experience coaching or enabling teams to adopt AI-assisted development practices
• SAFe or Agile certifications

What Success Looks Like

• Within the first 3 months, you have a deep understanding of the team's domain, codebase, and systems, and you are already leading design discussions and delivering complex features
• Within 6 months, you are the go-to technical authority on your team, owning multi-sprint projects end-to-end and driving measurable improvements to code quality and engineering practices
• Within 12 months, you have mentored IC1 and IC2 engineers with visible growth in their capabilities, and you have led at least one significant initiative that improved team velocity, reliability, or developer experience
• You consistently identify and address technical debt and risks before they become blockers, and you proactively propose solutions
• You are recognized across the team as someone who builds consensus, facilitates productive discussions, and connects technical decisions to product and business outcomes
• You leverage AI-assisted and AI-driven tools not just for your own productivity, but to elevate the team's engineering practices and adoption of modern workflows

What Sets This Role Apart

• Tech stack agnostic philosophy: you will lead across technologies, not be confined to one. We invest in senior engineers who master fundamentals and leverage AI-assisted tooling to work effectively on any stack
• AI-first engineering culture: as an IC3, you will shape how your team adopts AI-driven development practices within Keyloop's AI-Driven Development Program, influencing the next generation of engineering workflows
• True technical ownership: you will own the architecture, delivery, and operational health of critical systems, with the autonomy to drive meaningful change
• A clear, transparent career framework with defined competency expectations and pathways to Staff Engineer (IC4), Engineering Lead (M1), or other tracks that match your ambitions…