720 Lead Fullstack Java Engineer jobs in Boston,MA

Director, Systems Engineering - Agile EO (Electro-Optical) Chief Engineer : Sign-on bonus ($50K max)

L3Harris Technologies

Wilmington, MA 01887

~ 27 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in engineering, science, or similar technical field or equivalent and a minimum of 15 years of prior relevant engineering experience. Graduate Degree and a minimum of 13 years of prior related experience. In lieu of a degree, minimum of 19 years of prior related experience.
Experience working within aerospace and defense industry
3+ years of functional management experience, leading a large team >50 resources across multiple disciplines
Active Secret security clearance

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Senior Staff Electrical Engineer

SAAB

Quincy, MA 02170

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor of Science Degree in Electrical Engineering with 15+ years of experience
Master of Science Degree in Electrical Engineering with 13+ years of experience
Experience using industry standard electrical engineering design tools (Altium, SPICE, MATLAB)
Product development experience demonstrating a strong engineering aptitude and good problem-solving skills with underwater vehicles and devices.
Demonstrated experience resolving issues during design, development and execution of electrical engineering activities.
Proficiency with MS Office software applications.
Experience to Earned Value (EV), Cost Account Management (CAM), and Integrated Master Schedule (IMS) development and tracking
Must hold or be able to obtain U.S. DoD SECRET security clearance.
Ability to travel up to 15%, both international and domestic.
Proficient at understanding requirements traceability in a model-based systems engineering environment.
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.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

SmartExplore AI is experimental.

New, Posted 4 hours ago

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

L3Harris Technologies

Wilmington, MA 01887

~ 27 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Engineering, Physics, or other related scientific discipline and 9 years of relevant space-based EO/IR systems engineering work experience
A graduate Degree and a minimum of 7 years of prior related experience
In lieu of a degree, minimum of 13 years of prior related experience
Experience as a Control Account Manager (CAM) and Integrated Product Team Lead (IPTL) is required
6+ years experience in electro-optics, including experience with optical design, sensors, detectors, and imaging systems
6+ years experience working with engineering and simulation software tools, such as MATLAB
Candidate must be eligible to obtain a DOD Secret security clearance
Please be aware many of our positions require the ability to obtain a security clearance
Security clearances may only be granted to U.S. citizens
Applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information

SmartExplore AI is experimental.

New, Posted 15 hours ago

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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

SmartExplore AI is experimental.

New, Posted 13 hours ago

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 15 hours ago

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Senior Staff Mechanical Engineer

SAAB

Boston, MA 02108

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.

SmartExplore AI is experimental.

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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.

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Newton, MA 02458

~ 10 min 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

SmartExplore AI is experimental.

New, Posted 4 hours ago

Senior Mechanical Design Engineer (Contract / Temporary – Onsite)

Viken Detection

North Waltham, MA 02455

New, Posted 12 hours ago

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Network Engineer, Signal Source Solutions

Communication Technology Services (CTS)

Marlborough, MA 01752

~ 39 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Experience working as part of an in-building coverage team at AT&T; Verizon or T-Mobile, either as an employee of one of these companies or as a key supplier to these companies is required.
Proven track record in designing and deploying in-building cellular networks required.
Certifications or relevant work experience in IP networking, VPN configurations, and firewall deployments is required
Experience specifically with Fortinet® is preferred.
Proficiency with the iBwave® is required sufficient to review designs, make recommendations on improvements if needed, and to make necessary changes to the signal source equipment contained in the design.
BS/BA degree, preferably in Engineering or equivalent experience

SmartExplore AI is experimental.