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Evolent

Software Engineer

Evolent

. Design, develop, test, and maintain software applications using modern programming languages and frameworks .

Posted 11/6/2026full-timeRemote • United StatesJuniorMid-Level💰 $109,000 - $123,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in C# or Python, with a strong understanding of software design principles, algorithms, and data structures. Capable of collaborating effectively in a distributed team environment while adhering to security and compliance standards.

Highest-signal resume keywords
C# ProgrammingPython ProgrammingSQL Server DevelopmentCloud Platforms (Azure, AWS, Google Cloud)AI-Assisted Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentUnit TestingIntegration TestingEnd-to-End TestingCode ReviewDebuggingPerformance OptimizationRelational Database DevelopmentSoftware Design PrinciplesAlgorithms
Soft Skills
Strong Communication SkillsCollaborationProblem-Solving
Tools & Technologies
GitDockerKubernetesAI-Assisted ToolsVersion Control
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceSoftware Engineering
Industry Keywords
Governance PoliciesSecurityPrivacyResponsible AIPHI Handling

Tech Stack

Tools & technologies
AWSAzureCloudDockerKubernetesPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, test, and maintain software applications using modern programming languages and frameworks
  • Collaborate with product managers, designers, and engineers to translate requirements into technical specifications
  • Write clean, maintainable, efficient code following team standards and best practices
  • Write unit, integration, and end-to-end tests
  • Contribute to system enhancements and implementation
  • Participate in code reviews and seek feedback
  • Troubleshoot, debug, and resolve technical issues and bugs
  • Optimize applications for performance, scalability, and reliability
  • Contribute to continuous improvement of development processes, tools, and methodologies
  • Use approved AI-assisted tools throughout the software development lifecycle
  • Validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness
  • Adopt team-defined prompts, skills, agents, and AI-assisted development patterns
  • Identify opportunities for AI-enabled workflow and automation improvements
  • Follow governance policies for AI usage, intellectual property, security, privacy, PHI handling, and Responsible AI
  • Participate in peer reviews and validation processes for AI-assisted solutions

Requirements

What you’ll need
  • 2+ years of professional software development experience
  • Proficiency in C# or Python and familiarity with their ecosystems
  • Working knowledge of relational database development, preferably SQL Server
  • Strong understanding of software design principles, algorithms, and data structures
  • Familiarity with Git-based version control, including pull requests
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud
  • Familiarity with Docker or Kubernetes
  • Ability to work independently and as part of a globally distributed team
  • Strong communication skills and ability to articulate technical concepts to technical and non-technical stakeholders
  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience
  • High-speed internet over 10 Mbps at home
  • Government-issued photo ID submission and identity verification
  • Comprehensive background check
  • In-person I-9 verification
  • May be subject to drug screening prior to employment
  • AI tools prohibited during interviews
  • Must comply with security, privacy, regulatory, Responsible AI, intellectual property, PHI handling, and enterprise AI-use policies

Benefits

Comp & perks
  • Work/life balance
  • Flexible work arrangements
  • Autonomy in work
  • Health insurance benefits for qualifying employees
  • Equal opportunity employment
  • Reasonable accommodation support