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Salary
$141k – $254k per year (Estimated)
Location
Remote/Hybrid (United States)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is an AI-powered job platform focused on remote and flexible work. It matches candidates with relevant roles using skills and preference-based algorithms, and also offers career coaching and job-search guidance.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Developer (Golang/Terraform) based in the United States.

This role offers the opportunity to build scalable backend systems and reliable cloud infrastructure in a modern product engineering environment.

You will combine software development expertise with infrastructure-as-code practices to deliver secure, maintainable, and high-performing solutions.

Working across APIs, microservices, automation, and cloud platforms, you will help turn complex technical requirements into practical implementations.

You will collaborate closely with architects, DevOps engineers, security specialists, and developers throughout the full software development lifecycle.

The role also provides hands-on exposure to emerging technologies, with a strong focus on using AI tools to improve engineering productivity and quality.

Beyond individual delivery, you will contribute through technical leadership, knowledge sharing, mentoring, and continuous improvement.

This is an environment for curious engineers who enjoy solving meaningful problems, learning continuously, and delivering excellent work with a collaborative mindset.

Accountabilities:

    • Design, develop, test, and maintain scalable backend services and software solutions using Golang.
    • Build reusable Terraform modules and infrastructure-as-code solutions that enable consistent, secure, and reliable cloud environments.
    • Develop APIs, microservices, automation tools, integrations, and other technical solutions aligned with business and project requirements.
    • Translate solution designs and project requirements into secure, maintainable, and production-ready implementations.
    • Automate the provisioning, configuration, and management of cloud infrastructure and application resources.
    • Collaborate with architects, DevOps engineers, security teams, and other developers to deliver complete and integrated technical solutions.
    • Write clean, efficient, well-tested code and infrastructure configurations that follow established engineering, security, and development standards.
    • Use AI tools such as Claude to streamline engineering tasks, improve work quality, and identify new opportunities to integrate AI into everyday workflows.
    • Participate across the full software development lifecycle, including architecture, design, development, testing, deployment, troubleshooting, and production support.
    • Conduct code and Terraform configuration reviews to promote quality, consistency, security, and engineering best practices.
    • Troubleshoot complex application, deployment, and infrastructure issues across development and production environments.
    • Improve application performance, infrastructure reliability, and deployment efficiency through automation, monitoring, and continuous optimization.
    • Take ownership of assigned deliverables while communicating project progress, technical risks, dependencies, and challenges clearly.
    • Contribute to technical leadership, mentoring, presentations, coaching, and knowledge sharing across the wider engineering team.
    • Maintain a consultative approach by aligning technical solutions with client expectations and long-term business objectives.
    • Requirements:

      • Hands-on experience developing software solutions and backend services, with strong proficiency in Golang.
      • Practical experience with Terraform and infrastructure-as-code practices, including building reusable modules and automating cloud environments.
      • Strong understanding of APIs, microservices, automation, integrations, and modern software development practices.
      • Full understanding of the software development lifecycle, from design and development through testing, deployment, and production support.
      • Strong problem-solving and troubleshooting abilities across application, infrastructure, and deployment environments.
      • A consultative mindset with the ability to understand client objectives and translate business needs into effective technical solutions.
      • Experience using AI tools to enhance daily engineering work, or a strong willingness to experiment with, learn, and champion AI-driven development practices.
      • Claude Certified Developer or Architect certification is highly preferred, with opportunities to obtain relevant certification through the organization.
      • Ability to oversee projects and successfully execute assigned technical deliverables while managing priorities and dependencies.
      • Strong communication, presentation, coaching, and interpersonal skills, with the ability to positively influence and mentor colleagues.
      • Ability to lead, motivate, and support team members while working effectively in a collaborative environment.
      • Intellectual curiosity, creativity, and a strong commitment to continuous learning and professional development.
      • Adaptability and flexibility to thrive in a high-growth environment with evolving technologies and priorities.
      • Strong written and verbal communication skills and a genuine desire to contribute to a team-oriented culture.
      • Experience with AI or a demonstrated ability to quickly learn emerging technologies and help others adopt new tools and methodologies is highly valued.
      • Benefits:

        • Opportunity to work alongside a talented and diverse team in a collaborative and creative environment.
        • Ongoing investment in professional growth through training, mentorship, and industry certifications.
        • Hands-on exposure to cutting-edge technologies and projects across multiple industries.
        • Recognition programs and employee awards that celebrate strong contributions and achievements.
        • Opportunities to participate in AI-focused initiatives, including an AI Innovators Program.
        • Remote or hybrid work options.
        • Opportunities to develop expertise in emerging AI tools and methodologies and share best practices with colleagues.
        • Inclusive workplace culture focused on collaboration, continuous learning, and professional development.
        • Commitment to equal employment opportunities and reasonable accommodations throughout the recruitment and interview process.
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