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Datalign Advisory
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Senior Software Engineer - Full Stack - Career Page Skip To Job Description

Available Position (Company name withheld)

Senior Software Engineer - Full Stack

Cambridge, MA

Full Time

Experienced

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Location

Cambridge, MA (Kendall Square). Hybrid schedule with 4 days a week in office.

Company Overview

Datalign Advisory is a cutting-edge platform that provides AI-driven, data-centric financial advisory services, connecting users with expert advisors to optimize financial decision-making. Our goal is to revolutionize the financial advisory landscape by offering personalized, scalable solutions through advanced technology and data analytics. In 2022, we launched from Cambridge’s innovation hub with Link Ventures as our lead investor. Today, we’ve connected over $40 billion in assets with 7,000 trusted advisors.

Job Summary

Are you driven to make a significant difference in the financial well-being of individuals, focusing on enhancing their journey towards financial peace of mind and a secure retirement? We are on the hunt for a Senior Software Engineer who embodies the spirit of entrepreneurship and excellence, who is ready to roll up their sleeves, thrives in a fast-paced environment and is passionate about making a tangible impact.

Your role as a full-stack Senior Software Engineer will be critical. You'll be part of an early-stage startup team where your technical expertise and desire to build well-crafted systems and products will bring to life personalized user experiences which leverage the latest in AI and machine learning along with robust cloud engineering. You will be instrumental in maintaining and elevating our edge in the industry, championing the financial health and success of all of our clients. The ideal candidate has experience initiating and leading technical projects in small teams and gets things done.

Key Responsibilities

  • Collaborate and Set Direction: Work with cross-functional teams to identify opportunities and design software solutions based on customer feedback and business goals.
  • Execution and Delivery: Write clean, maintainable, and efficient code across all layers of our AWS based technology stack: data, application backend, web-based user interface and external APIs.
  • Innovation: Explore potential applications of generative AI and other machine learning techniques in our products.
  • Continuous Improvement: Work with the rest of the software engineering team to continuously improve our architecture and best practices as we grow.
  • Culture: Contribute to a collaborative and inclusive team culture.

Qualifications

  • 10+ years of software engineering experience.
  • Proven track record of hands-on technical leadership from conception and design to implementation.
  • Bachelor’s degree in Computer Science or equivalent, masters preferred.
  • Experience building applications on cloud platforms such as AWS, GCP or Azure, or the proprietary equivalents inside big tech.
  • Ability to quickly learn and gain proficiency in new languages and frameworks.
  • Comfortable working in Go, Python and/or TypeScript.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

Preferred Qualifications

  • Excitement to make an impact in consumer finance.
  • Experience leveraging and integrating AI/ML technologies into applications.
  • Previous experience developing software in a high-growth, dynamic startup environment.

What We Offer

  • A dynamic, team-centric and supportive environment in the heart of Kendall Square where your work has a direct impact on enhancing financial advisory services.
  • Competitive salary with performance-based bonuses.
  • Comprehensive benefits package including health, dental, and vision insurance, and retirement savings plans
  • Commuting is on us and we will pay for your monthly parking, T Pass or commuter rail pass. We also offer a corporate Bluebike membership.
  • Opportunities for professional growth and development within a rapidly growing company.
  • Weekly lunches catered to the office.
  • Fully stocked kitchen covering all of coffee, tea and snack needs.

Additional Information

  • We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.

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Skills

  • Machine Learning
  • AWS
  • Generative AI
  • GCP
  • Azure
  • Go
  • Python
  • TypeScript

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