Lead Software Engineer

Jobtailor

Colorado

On-site

USD 150,000 - 190,000

Full time

48 hours ago

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Job summary

Jobtailor is seeking a senior software architect to lead architecture, design, and delivery of scalable, secure software platforms. You will prototype AI-driven solutions, collaborate with data scientists, cybersecurity, and product teams, and drive technical roadmaps from concept to production.

The role requires mentoring engineers, shaping best practices, and overseeing automated testing, CI/CD, and observability.

Qualifications

Bachelor’s degree or equivalent in a technical field.
Progressive software engineering experience across APIs, platforms, or cloud-native services.
Ability to lead the full software development lifecycle with strong communication.
Experience designing scalable, secure, observable software with modern patterns and CI/CD.
No visa sponsorship available; capable of completing a drug screen.

Responsibilities

Lead architecture, design, development, and testing of modern software solutions and reusable platform capabilities.
Evaluate and prototype emerging technologies (AI, cloud-native services, APIs, automation).
Translate business goals into scalable software designs and technical roadmaps.
Mentor engineers, guide design reviews, and promote engineering excellence.
Collaborate with product, data science, cybersecurity, infra, UX, and business stakeholders.
Define evaluation methods, success criteria, testing, monitoring, and production readiness checks.
Identify risks, dependencies, security concerns, and operational constraints; propose mitigations.

Skills

Software Architecture

Cloud-Native Services

Modern Programming Languages

Automated Testing

Technical Leadership

Education

Cloud Certification

AI/ML Certification

Software Architecture Certification

Tools

Kubernetes

Microservices

Event-Driven Architecture

Observability Platforms

Infrastructure-as-Code

Job description

Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities
Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation, cloud-native services, APIs, automation, and data-driven application patterns
Translate business opportunities, product goals, and technical requirements into scalable software designs, solution patterns, technical roadmaps, and implementation plans
Mentor engineers, provide technical direction, facilitate design reviews, and promote experimentation, learning, engineering excellence, and responsible technology adoption
Collaborate with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders
Define technical evaluation methods, proof-of-concept success criteria, performance measures, quality gates, automated testing, monitoring, and production readiness reviews
Identify technical risks, dependencies, integration needs, security considerations, and operational constraints, and recommend mitigation strategies

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline; equivalent practical experience may be considered
Progressive professional experience in software engineering, including hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services
Ability to lead technical work across the full software development lifecycle, including requirements analysis, architecture, design, coding, testing, and deployment
Strong proficiency in one or more modern programming languages such as Python, Java, JavaScript/TypeScript, C#, Go, or similar languages
Experience designing scalable, secure, observable, and maintainable software using modern architecture patterns, APIs, automated testing, CI/CD, and DevOps practices
Working knowledge of cloud platforms, containerization, infrastructure automation, integration patterns, and production support practices
Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business stakeholders
Demonstrated analytical, problem-solving, and decision-making skills in ambiguous or rapidly evolving technical environments
No visa sponsorship available
Must successfully complete a drug screen
Preferred: Experience with AI, machine learning, generative AI, large language models, agentic solutions, retrieval-augmented generation, vector databases, or prompt-based solutions
Preferred: Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support
Preferred: Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, cybersecurity, compliance, and enterprise risk management
Preferred: Experience with modern cloud services, serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code
Preferred: Advanced degree, cloud certification, AI/ML certification, software architecture certification, or contributions to technical communities, open-source projects, patents, publications, or internal innovation initiatives

Core Competencies

Demonstrates expertise in software architecture, design, and development, with a strong focus on scalable and secure solutions using modern programming languages and cloud-native services. Proven ability to lead technical teams, mentor engineers, and communicate complex technical concepts effectively across various stakeholders.

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