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Junior Software Engineer

Confidential Client•Financial Services
Entry LevelFull-timeOn-Site$143,993
United States
2 Days Ago

The Junior Software Engineer will work onsite in Manhattan as part of a small, highly technical team developing and maintaining backend systems for real-time pricing and trading platforms in a fast-growing fintech company. This role involves backend development, data pipeline management, machine learning model integration, and automation to support mission-critical production systems, offering broad engineering exposure and significant responsibility early in the candidate's career.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Fintech | AI | Trading Technology | Marketplace.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


About the Role

Confidential Client is hiring an early-career Junior Software Engineer to join a small, highly technical backend/platform team in Manhattan. You will work on production real-time pricing, bidding, and transaction systems that integrate data pipelines and machine-learned models. This is an onsite, full-time role and includes a competitive base salary range.


What You’ll Do

  • Maintain and improve backend services that power real-time pricing, bidding, and transactions.
  • Build and manage data integrations, ETL pipelines, and mapping workflows across multiple sources.
  • Integrate existing machine learning models into production applications and workflows.
  • Develop internal tools and automation to improve platform reliability and operational efficiency.
  • Troubleshoot production incidents and deliver scalable fixes.
  • Contribute to backend APIs, data infrastructure, and platform improvements.
  • Work in two-week sprints and collaborate closely with senior engineers across the stack.

Minimum Qualifications

  • 0–2 years of professional software engineering experience (strong internships accepted).
  • Bachelor’s degree in Computer Science or related STEM field.
  • Hands-on experience with Python and backend development.
  • Experience with backend systems, APIs, data pipelines, or engineering tools.
  • Exposure to platform infrastructure, production systems, or operations automation.
  • Ability to integrate existing machine learning models into production.
  • Strong analytical, debugging, and problem-solving skills.
  • Comfortable working in a fast-paced, small-team environment.
  • Must be available to work onsite in Manhattan five days per week.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred Qualifications

  • Familiarity with cloud platforms such as AWS or Google Cloud Platform (GCP).
  • Experience with ETL/data processing, distributed systems, or production ML workflows.
  • Experience deploying or supporting machine learning infrastructure.
  • Interest in fintech, real-time systems, or algorithmic trading.
  • Prior startup or high-pace tech company experience.

Technology Stack

  • Python | AWS | GCP | Machine Learning | Data Pipelines | Data Infrastructure | Backend Systems | AI development tools

Compensation & Benefits

  • Base salary: $125,000–$175,000 (range provided by Confidential Client).
  • 401(k) matching.
  • $600 monthly healthcare contribution.
  • High-impact work on production financial systems and strong opportunities for rapid career growth.

Who Will Succeed

You’re curious, resourceful, and enjoy solving practical engineering problems. You want broad exposure to backend systems, data infrastructure, and ML-in-production, and you’re excited to take ownership on a small, mission-driven engineering team.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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