Job Description:
Position Description:
Develops highly scalable and distributed systems in Cloud technologies (AWS and Lambda). Supports mission critical applications using Object Oriented Programming - Java, Scala, or Python. Resolves technical roadblocks for the team and mitigates potential risks using Relational and NoSQL databases (PostgreSQL and DynamoDB) and data movement technologies (Extract Transform Load/Extract Load Transform (ETL/ELT). Delivers system automation by setting up Continuous Integration/Continuous Delivery (CI/CD) pipelines using DevOps technologies (Maven, Git, Jenkins, Stash, or Docker). Develops and oversees software system testing and validation procedures, programming, and documentation. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
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Primary Responsibilities:
- Participates in architecture design teams.
- Defines and implements application-level architecture.
- Develops applications on complex projects, components, and subsystems for the division.
- Recommends development testing tools and methodologies and reviews and validates test plans.
- Responsible for QA readiness of software deliverables.
- Develops comprehensive documentation for multiple applications or subsystems.
- Establishes full project life cycle plans for complex projects across multiple platforms.
- Responsible for meeting project goals on-time and on-budget.
- Advises on risk assessment and risk management strategies for projects.
- Plans and coordinates project schedules and assignments for multiple projects.
- Acts as a primary liaison for business units to resolve various project/technology issues.
- Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
- Advises senior management on technical strategy.
- Mentors junior team members.
- Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
- Develops original and creative technical solutions to on-going development efforts.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) developing Machine Learning (ML) platform applications for Cloud infrastructures (Amazon Web Services (AWS), Azure, Google, or IBM) using Agile Methodologies.
Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Software Engineer/Developer (or related occupation) developing Machine Learning (ML) platform applications for Cloud infrastructures (Amazon Web Services (AWS), Azure, Google, or IBM) using Agile Methodologies.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise ("DE") designing, building, and applying auto-ML infrastructure and tools to develop, deploy, monitor, and interpret ML models using AWS SageMaker, Google Colab, Azure Cloud, or Anaconda; and building tools to detect data drifts that impact prediction quality and model monitoring, interpretability, and explainability using Python's ML and Deep Learning (DL) ecosystem (numpy, pandas, sklearn, tensorflow, or keras).
- DE designing and developing scalable and secure applications using Cloud technologies according to standard security practices and distributed architectural requirements - Identity and Access Management (IAM), fine-grain access controls, and encryption schemes using infrastructure as a code.
- DE achieving auto-scale analysis for users and use cases within an organization environment using Kubernetes and Open-Source Software (EKS); accelerating data exploration and model development using notebook interfaces and tools (Spark Technology); applying version control (Git) while developing AI solutions in Agile methodologies; and deploying data science infrastructure using CI/CD and orchestration tools (AWS Step Functions and MLflow).
- DE analyzing Big Data applications; designing and developing batch processing jobs that perform ETL to support predictive analytics using AWS Glue, SSIS, or Spark; building and troubleshooting high performance big data applications using multi-threading, multi-processing, asynchronous programming using distributed computing architecture and programming languages (Python and Java).
Salary: $178,100.00 - $188,100.00 /year.
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Certifications:
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.
Join Us
At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.
Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
We invite you to Find Your Fidelity at fidelitycareers.com.
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.