Lead Software Engineer; Back-End

Job Overview

We are seeking an experienced and strong Lead Software Engineer (Back-End) to oversee day-to-day operations and development. This role will involve taking lead on complex development tasks from start to finish and providing technical mentorship to the team. You will be responsible for complex coding, hosting management, live deployments, and code reviews. Additionally, you will serve as a backup for development and support, ensuring smooth operations and high-quality deliverables.

This is a hands‑on developer role, ideal for someone with a broad technical background and a proven ability to execute complex projects across a variety of technologies and platforms.

No sponsorship available for this position

• Lead development projects from inception to completion, ensuring timely delivery and high-quality outcomes.
• Collaborate with cross-functional teams to define project scope, architecture, and technical requirements.
• Does complex coding on API development and data processing.
• Work across a variety of technologies, including C# .NET, SQL, and Java script.
• Oversee hosting environments, manage live deployments, and ensure system stability and performance.
• Troubleshoot and resolve issues in production environments.
• Conduct thorough code reviews to ensure adherence to best practices, coding standards, and security guidelines.
• Provide feedback and guidance to junior developers to improve code quality and performance.
• Serve as a backup for development and support tasks, ensuring continuity in case of team member absence.
• Work with cloud platforms (Azure, AWS, Snowflake) to design, implement, and manage scalable and secure solutions.
• Optimize cloud infrastructure for performance, cost, and reliability.

• 5+ years of hands‑on experience
  in software development, with a strong focus on web technologies (C#, .NET).
• Proven experience in
  leading development projects
  from start to finish.
• 1+ years
  
  Experience with
  cloud platforms
  such as Azure, AWS, or Snowflake.
• Strong experience in
  code review
  and ensuring adherence to best practices.
• Ability to mentor and guide junior developers, fostering a collaborative and growth‑oriented environment.
• Excellent problem‑solving skills and the ability to troubleshoot complex technical issues.
• Strong communication skills, with the ability to work independently and as part of a team.

• Experience with
  data processing
  and working with large datasets.
• Familiarity with
  Dev Ops practices
  and CI/CD pipelines.
• Proficiency in
  complex coding, hosting management, and live deployments
  .
• Experience in
  API development
  and integration.
• Knowledge of
  security best practices
  in software development and cloud environments.
• Python

• Opportunity to take on a leadership role and make a significant impact on the development process.
• Work with a variety of cutting‑edge technologies and cloud platforms.
• Collaborate with a talented and motivated team in a dynamic and fast‑paced environment.

$120,000 - $170,000 a year

We are proud to offer a comprehensive benefits package designed to support the well‑being and financial security of our employees. Our benefits include:

• Health, Dental, and Vision Plans
  :
  Comprehensive coverage to meet your healthcare needs.
• Employee Assistance Program (EAP):
  Resources and support for personal and professional challenges.
• 401(k) Retirement Savings Plan
  :
  Includes option for Traditional or Roth IRA to help you plan for your future.
• Paid Time Off
  :
  Enjoy paid vacation and sick leave to maintain work‑life balance.
• Company Holidays
  :
  Nine paid company holidays throughout the year.

Data Lab USA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.

All offers of employment are contingent on passing a background check and drug test.

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This job posting will remain open for 40 days from the initial posting date.