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Velocity Developer Jobs in Boston, MA (NOW HIRING)

Ramps International inc

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

... team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively ...

Ramps International inc

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

... team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively ...

RxSense

Principal Platform Engineer

Boston, MA

Design self-service developer tooling and platform APIs and set the abstractions that let product ... Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering ...

RxSense

Principal AI Ops Engineer

Boston, MA

Design and build the shared developer harness that every AI-powered service uses: prompt management ... Deep hands-on experience designing and operating CI/CD pipelines for high-velocity engineering ...

Venus Consultancy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

Develop Python-based automation to eliminate manual tasks and accelerate development velocity ... Developer productivity tooling and automation Monitoring & Reliability: * Comprehensive monitoring ...

Venus Consultancy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

Develop Python-based automation to eliminate manual tasks and accelerate development velocity ... Developer productivity tooling and automation Monitoring & Reliability: * Comprehensive monitoring ...

Venus Consultancy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

Develop Python-based automation to eliminate manual tasks and accelerate development velocity ... Developer productivity tooling and automation Monitoring & Reliability: * Comprehensive monitoring ...

慨正橡扯

DevOps Lead / Principal Engineer

Boston, MA · On-site

$180 - $240/hr

Build internal developer platforms from the ground up that accelerate software delivery velocity, reduce cognitive load for engineering teams, and establish comprehensive GitHub-centric development ...

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All JobsVelocity Developer JobsVelocity Developer Jobs in Boston, MA

Velocity Developer information

What is the difference between Velocity Developer vs Java Developer?

AspectVelocity DeveloperJava Developer
Required CredentialsTypically Java certifications, Velocity framework knowledgeBachelor's in Computer Science, Java certifications
Work EnvironmentWeb development, content management, templatingApplication development, backend systems
Employer & Industry UsageWeb agencies, enterprise content managementSoftware companies, enterprise applications
Common Search & ComparisonVelocity Developer vs Java Developer

The main difference between a Velocity Developer and a Java Developer lies in their focus areas. Velocity Developers specialize in using the Velocity templating engine for web content and document generation, often working within content management systems. Java Developers have a broader scope, working on Java-based applications, backend systems, and software development. While both roles require Java knowledge, Velocity Developers focus more on templating and presentation layers, whereas Java Developers handle core application logic.

What is a Velocity developer?

Velocity Developers are software professionals who specialize in working with Apache Velocity, a Java-based template engine. They create, customize, and maintain dynamic web pages and email templates by integrating data models with Velocity templates. Their work often involves collaborating with front-end developers and backend engineers to ensure seamless data flow and presentation. Velocity Developers are commonly found in organizations that use Java web applications and require dynamic content rendering.

How does a Velocity developer typically collaborate with designers and backend teams during a project?

As a Velocity Developer, you will frequently work closely with both designers and backend engineers to ensure seamless integration of dynamic content within web applications. Collaboration often involves translating design mockups into Velocity templates, refining user interface elements based on feedback, and working with backend teams to access and render the necessary data efficiently. Regular meetings and code reviews help maintain alignment and ensure that the final product meets both aesthetic and functional requirements. Effective communication and a willingness to iterate are key to successfully bridging the gap between design vision and technical implementation.

What skills and qualifications are needed to be a Velocity developer?

To thrive as a Velocity Developer, you need strong skills in Java programming, templating engines, and web development, often supported by a degree in computer science or related field. Familiarity with Apache Velocity, integrated development environments (IDEs) like IntelliJ IDEA or Eclipse, and version control systems such as Git is typically required. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and translating business requirements into functional templates. These skills ensure efficient template development, maintainable code, and successful integration in dynamic web applications.
What are popular job titles related to Velocity Developer jobs in Boston, MA? For Velocity Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Velocity Developer jobs in Boston, MA look for? The top searched job categories for Velocity Developer jobs in Boston, MA are:
Velocity Developer jobs near you

Staff Machine Learning Engineer, Technical Lead

Paperless Parts

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Paperless Parts is a SaaS startup helping manufacturers quote faster and win more work. From rockets to medical devices, we power the parts that move the world forward.
This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.
About the Role
Step into the role of Technical Lead for our newly formed engineering pod, building the core manufacturing intelligence engine powering the future of Paperless Parts. In this high-leverage role, you will act as the bridge between the art of the possible and high-velocity engineering execution. You will translate cutting-edge models and algorithms into production-grade training pipelines and inference services.
As the technical anchor of a lean, ambitious team, you will drive R&D execution across our entire machine learning lifecycle-from data labeling strategies to low-latency model inference. You will ensure that our approach to computer vision, document intelligence, and predictive modeling is both mathematically rigorous and operationally sound.
Who You Are
  • Rigorous yet Pragmatic: You possess a deep theoretical grounding in machine learning and artificial intelligence fundamentals, but you are driven by shipping code that solves real-world, industrial problems. You don't just apply models; you understand the underlying mathematics, optimization functions, and architectural trade-offs.
  • Mentor & Force Multiplier: You are passionate about teaching and elevating early-career technical talent. You enjoy breaking down complex concepts and foster a culture of engineering discipline and curiosity.
  • AI Strategist: You understand the trade-offs inherent in technology decisions and think strategically about when to use frontier models, when to train our own, and when to use deterministic solutions.
  • Collaborative Partner: You seamlessly collaborate with researchers, other engineering teams, and business stakeholders, helping ensure we build the right technology, deploy it scalably, and bring it to market.

Why You'll Love Working Here
  • R&D Ownership: You will lead the technical execution of a new, highly visible engineering pod tasked with solving some of the toughest geometric and document-processing challenges in tech.
  • Complex Data & Unique Problems: Our engineering team deals with rich data, including 2D drawings and 3D CAD models. Your work will change what's possible in manufacturing.
  • A Culture of Rigor and Velocity: We value intentionality, persistence, and deep technical discipline. You will have the freedom to meld academic-level inquiry with the agility of a fast-scaling startup.
  • High-Impact Mission: Our platform powers manufacturing for critical industries like aerospace, defense, and medical devices. The models your team deploys directly impact the physical creation of products that move the world forward.

What You'll Do
  • Drive R&D Execution: Own planning and execution of the AI/ML pod's backlog. Partner closely with the Chief Scientist and other engineering pods to ensure the research pipeline aligns smoothly with border product timelines.
  • Prototype and Transition: Lead the hands-on prototyping of novel solutions and transition of successful proofs-of-concept into production-ready services. Guide the strategic migration of workloads, identifying opportunities to shift repetitive tasks from expensive frontier models to fine-tuned, open-source architectures.
  • Operationalize ML Infrastructure: Develop scalable, repeatable approaches to labeling data, training models, and deploying services that support our products with AI capabilities.
  • Design Rigorous Benchmarks: Define and track metrics that evaluate the effectiveness and costs of our AI-powered solutions, enabling key technology decisions to be data-driven.
  • Mentor the Pod: Act as the technical anchor and primary mentor for early-career ML engineers. Cultivate an engineering culture of deep theoretical and practical rigor through hands-on pairing and comprehensive design and code reviews.

What You'll Bring
  • 8+ years of experience in relevant R&D roles with a strong background in SaaS products at scale (start-up to scale-up transition experience preferred).
  • Advanced Academic Foundation: a technical degree in Computer Science, Applied Mathematics, or closely related field, with a strong understanding of the mathematics behind modern AI/ML techniques is essential. An advanced degree and track record of peer-reviewed publications is a strong plus when paired with proven software experience in industry.
  • AI/ML Fundamentals: A robust understanding of core machine learning and deep learning theory, including neural networks, statistical modeling and inference, and metric learning.
  • MLOps: Experience working with cloud-native patterns for ML pipelines, including platforms like AWS SageMaker.
  • Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority. This may include technical talks and publications.

Why Join Us?
  • Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
  • Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
  • Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.

If you're a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we'd love to hear from you!
Salary range: $195,000 - $263,000
The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, performance, sales or revenue-based metrics, and business or organizational needs.
Paperless Parts Life
Culture: At Paperless Parts, we value intentionality, persistence and relationships. We live and breathe these values every day. As a fast-growing company, we're continually improving what we've built while still building from the ground up.
Boston Office: Our office is full of energy; people regularly collaborate to solve complex problems. We recognize that people work well in different environments and have intentionally designed our office to provide collaborative spaces and quiet focus areas. Our height-adjustable desks are set up with additional monitors, and employees are provided with the latest Apple technology to support productivity.
Our headquarters is located in downtown Boston, MA and easily accessible to most transit routes (Red/Blue/Orange/Green Line/South Station/North Station).
Encinitas Office: Our California office is our newest office which seats our West Coast sales team. The office has an open floor plan with several conference rooms to encourage collaboration with your colleagues in California and TV's to connect with those sitting in Boston or remotely. The office is walking distance from Downtown Encinitas, the Coaster train stop, and tons of activities on the 101.
Benefits: We value you and your family. With this in mind, full-time employees are provided:
  • 100% coverage of health, dental, and vision for you and your dependent
  • Competitive compensation philosophy
  • Unlimited PTO
  • 13+ paid holidays
  • Company-sponsored wellness stipend
  • Pre-tax Commuter and FSA/Dependent Care FSA
  • 401(k) plan
  • Employee recognition program

Responsible for adherence to all security and privacy requirements, rules and regulations and implement as required.
Paperless Parts is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. Paperless Parts is an Equal Opportunity & Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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