Software Engineer II (Remote in United States)
Nextech·about 13 hours ago
Job Summary:
The Software Engineer II is a mid-level individual contributor who delivers complete features and components, often independently, and supports the broader team through code reviews and collaboration. This role applies a thorough understanding of development principles, patterns, and tools to a variety of technical problems, balancing technical design with customer needs and business priorities. The Software Engineer II significantly contributes to code quality, continuous improvement, and cross-functional collaboration while serving as a reliable, accountable member of the engineering team. The role uses approved AI-enabled practices across implementation, testing, debugging, documentation, production support, and code comprehension; provides relevant context and constraints; evaluates generated alternatives; and remains accountable for the resulting work.
All activities must be in compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations, as appropriate.
Essential Functions
- Own medium-sized features or components from design and estimation through implementation, testing, deployment, and maintenance.
- Apply established design patterns, architectural principles, and best practices to deliver robust, scalable, and maintainable solutions.
- Use customer context and product requirements to inform technical decisions, ensuring solutions support usability, performance, and reliability.
- Participate in on-call rotations or incident response as applicable, contributing to root-cause analysis and resolution of customer-impacting issues.
- Write high-quality, testable code that adheres to coding standards, including appropriate unit, integration, and regression tests.
- Conduct code reviews that provide constructive feedback, identify defects, verify AI-assisted changes, and help maintain consistency and quality across the codebase.
- Recommend and implement improvements to development processes, tooling, and team workflows—including AI-assisted approaches—to increase efficiency and quality, using evidence to retain or retire practices.
- Collaborate effectively with product, UX, QA, and other engineering team members, helping to clarify requirements, identify dependencies, and align on delivery plans.
- Communicate clearly and proactively about progress, risks, trade-offs, and technical constraints to both technical and non-technical stakeholders.
- Support the onboarding and skill development of junior engineers through pairing, informal mentoring, and knowledge sharing.
- Use approved AI capabilities independently across implementation, testing, debugging, documentation, production support, and code comprehension; provide context and constraints, evaluate alternatives, and explain decisions.
- Validate AI-assisted work against requirements, edge cases, failure paths, dependencies, tests, and coding standards.
- Document verification of significant or high-risk AI-assisted changes and remain accountable for submitted work.
In addition to working in accordance with appropriate conduct and behavioral standards, specific responsibilities of this role include:
Minimum Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent combination of education and experience.
- 5 years of professional software engineering experience.
- Demonstrated ability to independently deliver end-to-end features, including design, implementation, testing, and deployment.
- Solid understanding of software engineering principles (e.g., SOLID, design patterns, data structures, algorithms) and their practical application.
- Experience with modern tooling and practices such as Git-based workflows, automated testing, CI/CD pipelines, and observability tools.
- Strong verbal and written communication skills, including the ability to document designs and explain technical decisions.
- Academic education and/or professional experience or certifications that demonstrate growing depth in the technologies and patterns used in the role and a commitment to continuous learning.
Preferred Qualifications
- Experience working within a multi-service or microservices architecture, including service-to-service communication and resilience patterns.
- Hands-on experience with one or more major cloud platforms (e.g., AWS, Azure, GCP) and associated managed services.
- Experience leading small sub-projects or workstreams, including coordinating tasks with peers and cross-functional partners.
- Familiarity with performance optimization, profiling, and troubleshooting complex issues in production environments.
- Participation in technical communities or contributions to internal tools, documentation, or open source projects.
Working Environment/Physical Demands
- Prolonged periods working at a computer, including typing and viewing screens.
- Frequent communication via video, phone, and online platforms.
- Occasional movement within a home or office environment; infrequent lifting of standard office or computer equipment.
Working Environment:
This role may be performed fully remote within the United States, with optional access to company offices where available. Collaboration occurs primarily via virtual tools, with occasional in-person meetings or team events. Long-distance or air travel as needed – not to exceed 10% travel.
Physical Demands:
Generous annual bonus opportunity
Market context
Measured from remote postings we have tracked ourselves — not self-reported survey data.
What Mid Level Engineering roles in Americas pay
- 25th
- $106k
- Median
- $144k
- 75th
- $170k
Based on 6,349 comparable postings with disclosed salaries, last 12 months.
How Nextech is hiring
- Last 90 days
- 11 roles
- Total tracked
- 89
- Hiring across
- 12 job families
Tracked since April 2020.