Jobs · Information Technology · New Hampshire

Principal Software Engineer (Python, Oracle, AWS)

Fidelity Investments · Merrimack, NH · 1 mo ago
On-siteInformation Technology$107k–$216k/yrFull-time

About the role

You are an experienced engineer with a deep hands-on experience developing systems and products with a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals.

Responsibilities

  • Deploy software products into production capable of handling large volumes of data at scale.
  • Design, develop, and maintain robust, scalable, and secure Python-based applications and services.
  • Optimize Python applications for performance, memory usage, and concurrency.
  • Orchestrate solutions within a cloud based environment.
  • Deliver GenAI applications that can reliably process information in open-ended settings.
  • Work with architecture and engineering stakeholders.
  • Mentor junior contributors, helping them grow and learn new skills in today’s engineering field.
  • Work as part of a team to deliver the most amount of value in the least amount of time.

Requirements

  • A Bachelor’s or Master's Computer Science or relevant field, with five years plus of industrial experience.
  • Proficient in deploying software products into production capable of handling large volumes of data at scale.
  • Strong understanding of Python internals, performance tuning, and advanced language features.
  • Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.
  • Strong attention to detail with a passion for validation and verification of software components.
  • Strong communication skills and the ability to work with distributed team members.

Qualifications

  • Expertise in large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
  • Understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings.

Skills

  • Ability to orchestrate solutions within a cloud based environment.
  • Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
  • Expertise in deploying software products into production capable of handling large volumes of data at scale.
  • Proficient in designing, developing, and maintaining robust, scalable, and secure Python-based applications and services.
  • Optimization of Python applications for performance, memory usage, and concurrency.
  • Strong understanding of Python internals, performance tuning, and advanced language features.
  • Writing clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.
  • Strong attention to detail with a passion for validation and verification of software components.
  • Strong communication skills and the ability to work with distributed team members.

Benefits

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.

Pay

The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

Schedule

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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