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Remote Python Engineer Jobs in Massachusetts (NOW HIRING)

Autodesk Inventor Expert - Remote

Boston, MA ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Autodesk Inventor Expert - Remote

Boston, MA ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta Lake, Autoloader, Structured Streaming). * Implement data models (Bronze/Silver/Gold), optimize with ...

$104K - $169K/yr

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across ... Python, Groovy, Bash, PowerShell * Deep knowledge and experience in cloud infrastructure such as ...

$139K - $168K/yr

Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ... LI-SS2 LI-REMOTE

Showing results 41-60

Remote Python Engineer information

What does a remote Python engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What are some common challenges faced by remote Python engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What are the key skills and qualifications needed to thrive as a remote Python engineer, and why are they important?

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are the most commonly searched types of Python Engineer jobs in Massachusetts?

The most popular types of Python Engineer jobs in Massachusetts are:

What job categories do people searching Remote Python Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Python Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Python Engineer jobs?

Cities in Massachusetts with the most Remote Python Engineer job openings:

Infographic showing various Remote Python Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Site Reliability Engineer (SRE)

Bright Vision Technologies

Andover, MA โ€ข Remote

$180K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Site Reliability Engineer (SRE) - Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Site Reliability Engineer (SRE)
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000โ€“$180,000 Annually
Experience Required: 10+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern.
Key Responsibilities
  • Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services, and use those measures to drive concrete engineering and prioritization decisions.
  • Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed, and ensuring high-quality post-incident reviews that drive lasting improvements.
  • Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tooling so that operators have rich, actionable visibility into system behavior.
  • Build and maintain robust on-call processes, runbooks, and escalation paths that reduce mean time to detect and mean time to resolve while protecting the well-being of the engineers on rotation.
  • Automate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages, replacing manual workflows with reliable, auditable automation.
  • Architect and operate large-scale Kubernetes clusters and container-based workloads, including autoscaling, capacity planning, network policy, and integration with service meshes.
  • Design CI/CD pipelines that promote safe, frequent, and observable releases, supported by automated testing, canary deployments, feature flags, and progressive rollout strategies.
  • Lead capacity planning and performance engineering activities, building models that predict growth and stress, and validating those models through load testing and chaos experiments.
  • Partner closely with application development teams to embed reliability practices early in design โ€” including failure-mode analyses, graceful degradation patterns, and dependency hardening.
  • Strengthen the platformโ€™s resiliency through chaos engineering, fault injection, dependency isolation, retries, timeouts, circuit breakers, and well-tested failover paths.
  • Drive continuous improvement of security posture in collaboration with security teams, including patch management, vulnerability remediation, and secure-by-default platform defaults.
  • Contribute to the technical roadmap for reliability tooling, observability platforms, and developer-experience improvements that reduce friction and improve outcomes for engineering teams.
  • Mentor engineers across the organization on SRE practices and foster a strong, blameless culture of operational excellence.
Required Qualifications
  • Bachelorโ€™s degree in Computer Science, Engineering, or a related technical discipline.
  • Ten or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems.
  • Strong programming skills in at least one of Python, Go, or Java, with the ability to build robust automation and tooling.
  • Deep, hands-on experience operating Linux at scale, including networking, performance tuning, and systems-level troubleshooting.
  • Production experience operating Kubernetes and container-based workloads.
  • Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents.
  • Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications.
  • Solid understanding of distributed system design, including consistency models, partitioning, and failure semantics.
  • Demonstrated experience leading incident response and conducting effective post-incident reviews.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Experience defining and operationalizing SLOs and error budgets in real production environments.
  • Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus.
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
  • Background in capacity planning, performance engineering, or large-scale load testing.
  • Familiarity with service mesh technologies such as Istio, Linkerd, or Consul.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.