742 Full Stack Applications Engineer jobs in Boston,MA

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Senior Staff Mechanical Engineer

SAAB

Boston, MA 02114

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor of Science Degree in Mechanical Engineering
13+ years of experience in mechanical design
Proficient in the use of industry standard mechanical engineering design tools (SolidWorks, AutoCad, Creo, Ansys, ICEPAK, Mechanica etc.)
Candidate must be able to work with limited/general direction.
Proficiency with MS Office software applications.
Must hold or be able to obtain U.S. DoD SECRET security clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Ability to travel up to 25%, both international and domestic.
Able to lead team of up to 5 mechanical engineers to develop and document mechanical components and assemblies.
Proficient at understanding and driving requirements traceability in a model-based systems engineering environment.
Strong Earned Value (EV) skills, including Cost Account Manager (CAM) activities.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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New, Posted 16 hours ago

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IT Senior Software Developer - Full Stack (Python and JavaScript)

Guidehouse Careers

Boston, MA 02115

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HVM-NETA Electrical Testing Sales Engineer - Boston

VERTIV

Boston, MA 02203

$102,607-$136,810/yr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Graduate engineer (BSEE/BSME) and no experience.
Graduate of electrical technical school or equivalent, and five years of similar work.
High school diploma or equivalent and eight years of similar work.
Willing to work flexible hours, weekends, some overnight travel to cover sales territory.
Regularly required to sit, stand, walk, use hands and fingers, talk and hear.
Required to sit and work at computer.
Specific vision abilities required by this job include close vision and the ability to adjust focus.
Conduct walk-through of construction sites and work in and around electrical equipment.
Regularly lift and/or move up to 25 pounds and frequently lift and/or move 100-pound test sets.
Up to 50% within assigned territory.
Valid Driver's License.

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Senior Research Engineer – Lithium-ion Battery and Data Center Safety

Norwood, MA 02062

~ 34 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Master's degree with 3 years of experience, or a PhD degree in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field.
Strong understanding of existing and emerging battery technologies, heat transfer, fluid mechanics, and combustion.
Hands-on experience with battery fire testing and associated experimental approaches in fire science.

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 16 hours ago

Lead, Electro-Optical (EO) Systems Engineer : Sign-on bonus ($30K max)

L3Harris Technologies Careers

Wilmington, MA 01887

Bilingual Preferred

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Senior Mechanical Design Engineer (Contract / Temporary – Onsite)

Viken Detection

Boston, MA 02163

New, Posted 19 hours ago

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Low Rate Initial Production Systems Engineering Lead

Raytheon

Tewksbury, MA 01876

Flexible Schedule

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Principal Quant Developer (MLOps)

Fidelity Investments

Boston, MA 02210

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
Six (6) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields
Four (4) years of experience as a Lead Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes