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Remote Python Mechanical Engineering Jobs in Massachusetts

ICONSTAFF

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... The role blends infrastructure ownership with platform engineering to enable AI/product teams to ...

BitSight

Engineering Manager

Boston, MA · On-site +1

... remote We are looking for a talented Engineering Manager and player/coach to lead one of our ... Experience with modern Python frameworks and technologies, such as Django, FastAPI, Flask ...

RELQ Technologies

DevOps Engineer

MA · On-site +1

$49.50 - $68/hr

Remote (U.S) Duration: 6+ Months (Contract) Client Domain: Product-based Technology Company ... Proficient in scripting (Bash, Python, or similar) for automation. * Deep understanding of source ...

Lancesoft

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data ... * 5-8 years in data engineering and data pipeline development * Proficient in Python and SQL ...

Axiom

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

... mechanisms to ensure the reliability and integrity of organizational data assets. * In coordination ... Fluency in at least one general-purpose programming language; Python preferred. * Familiarity with ...

Gradient AI

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

... fully remote opportunity. How you will make an impact: * Grow, build, and lead a world-class ... Familiar with databases (Postgres, MySQL) and application development (Python, Java) * Familiarity ...

Recorded Future

Senior Manager, Engineering

Boston, MA · On-site +1

$199K - $278K/yr

... remote teams in different timezones. * Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don't need to be actively coding ...

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Remote Python Mechanical Engineering information

What are the key skills and qualifications needed to thrive as a Remote Python Mechanical Engineer, and why are they important?

To thrive as a Remote Python Mechanical Engineer, you need a solid background in mechanical engineering principles, experience with Python programming, and at least a bachelor's degree in engineering. Familiarity with technical tools such as CAD software, finite element analysis (FEA) platforms, and Python libraries like NumPy, SciPy, and Matplotlib is typically required. Strong problem-solving skills, effective communication, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualifications ensure you can design, analyze, and optimize mechanical systems efficiently while contributing effectively from a remote environment.

How do remote Python Mechanical Engineers typically collaborate with cross-functional teams while working off-site?

Remote Python Mechanical Engineers often work closely with design, simulation, and manufacturing teams using digital collaboration tools. Regular video meetings, shared code repositories, and project management platforms help maintain open communication and ensure alignment on tasks and deadlines. Emphasis is placed on clear documentation and proactive updates to address time zone differences and minimize misunderstandings. This collaborative environment allows engineers to contribute effectively to multidisciplinary projects without being physically present.

What is a Remote Python Mechanical Engineer?

A Remote Python Mechanical Engineer is a professional who applies principles of mechanical engineering while working remotely, often leveraging the Python programming language to automate tasks, analyze data, develop simulations, or enhance product designs. These engineers may work on projects such as computational modeling, data analysis, or developing scripts for engineering workflows, all from a remote location. The combination of mechanical engineering expertise and Python proficiency allows them to solve complex engineering problems efficiently and collaborate with teams virtually.

What is the difference between Remote Python Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Python Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsEngineering degree, Python programming skills, mechanical knowledgeEngineering degree, CAD software proficiency, mechanical design skills
Work EnvironmentSoftware development, coding, data analysisDesign, CAD modeling, prototype development
Employer & Industry UsageTech companies, engineering firms, product developmentManufacturing, automotive, aerospace, product design
Search & Comparison IntentTechnical coding roles, remote Python jobs in engineeringDesign-focused remote mechanical engineering roles

Remote Python Mechanical Engineering involves coding, data analysis, and software development using Python in a mechanical context. In contrast, Remote Mechanical Design Engineers focus on CAD modeling, designing mechanical components, and prototype creation. Both roles require engineering backgrounds but differ in daily tasks and skill sets, catering to different aspects of mechanical engineering projects.

What are the most commonly searched types of Python Mechanical Engineering jobs in Massachusetts? The most popular types of Python Mechanical Engineering jobs in Massachusetts are:
What are popular job titles related to Remote Python Mechanical Engineering jobs in Massachusetts? For Remote Python Mechanical Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Python Mechanical Engineering jobs in Massachusetts look for? The top searched job categories for Remote Python Mechanical Engineering jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Python Mechanical Engineering jobs? Cities in Massachusetts with the most Remote Python Mechanical Engineering job openings:
Remote Python Mechanical Engineering jobs near you
Senior Platform Engineer

Senior Platform Engineer

ICONSTAFF

Cambridge, MA • Remote

$120K - $200K/yr

Full-time

Posted 20 days ago

Job description

Senior Platform/Infrastructure Engineer

Location: Fully remote (HQ Cambridge, MA)

Hours: 9–5 EST, with 2-day on-site visits every 6 weeks


You’ll be responsible for designing, scaling, and maintaining the infrastructure and internal developer platforms that power a real-time learning AI at a seed-stage startup. The role blends infrastructure ownership with platform engineering to enable AI/product teams to ship quickly and reliably.


Key Responsibilities - Infrastructure

  • Maintain production health: performance, reliability, cost efficiency, and security.
  • Manage GCP Kubernetes clusters (GKE), networking, storage, and compute resources.
  • Handle scaling, resource allocation, and high availability for growing customer demand.
  • Refine observability: logs, traces, metrics, dashboards, and alerts.
  • Perform security hardening and cost optimization.


Kep Responsibilities - Platform Engineering

  • Build internal tooling and abstractions for developer productivity.
  • Design CI/CD pipelines using GitHub Workflows and ArgoCD.
  • Provide self-service environments, internal portals, and deployment systems.


Collaboration & Communication

  • Work closely with AI and full-stack teams to optimize system architecture.
  • Explain technical concepts and trade-offs clearly to engineers and non-engineers.
  • Troubleshoot issues across multiple systems (Python, JavaScript, SQL).


Requirements

  • 5+ years in production cloud environments at scale.
  • Strong familiarity with GCP (primary) and some AWS experience.
  • Experience with Kubernetes (GKE), node pools, and memory-intensive jobs.
  • Working knowledge of CI/CD systems (GitHub Workflows + ArgoCD).
  • Exposure to observability tools (Datadog), databases (Cloud SQL, ClickHouse, Bigtable), and cloud services.


Skills & Qualities

  • Strong analytical and problem-solving ability.
  • Clear, collaborative communication.
  • Curiosity and ownership mentality.
  • Fluent in reading/debugging code across Python, JavaScript, SQL.


Technical Stack

  • Cloud: GCP (primary), AWS (secondary)
  • Kubernetes: GKE, multiple node pools
  • CI/CD: GitHub Workflows + ArgoCD
  • Data: Cloud SQL, ClickHouse, Bigtable, GCS, Dataflow
  • Networking: Cloudflare Workers, Durable Objects, WebSocket communication
  • Monitoring: Datadog
  • Environments: Production, Staging, Integration, Development