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Python Software Developer Jobs

AspenTech

TASI Measurement

Hybrid

Onsite

Come Join Our Team: 
We take pride in building quality products—and enriching the lives of those who make it possible. As a growing company, we invest in our people, our processes, and the technology that drives our success. We believe that when our team members thrive, our company thrives. We offer opportunities for career growth in a supportive, hands-on environment where your contributions make a difference every day. Most importantly, you’ll be part of a positive, team-oriented culture where autonomy is earned, hard work is rewarded, and every employee’s voice matters. Come grow with us and help shape our future!
 
Who We Are: 
SignalFire Telemetry, located in Marlborough, MA, designs and manufactures advanced industrial wireless telemetry systems used in demanding field environments. Our LTE-M connected devices transmit sensor data to the SignalFire Cloud, enabling customers to monitor remote assets, visualize historical trends, configure devices, and receive real-time alarms.
The SignalFire Cloud platform is a core component of our product offering and revenue model. We are investing in dedicated leadership to own, evolve, and scale this platform.
Being a part of TASI Measurement means we have big company perks with a decentralized operating structure that empowers us to remain close to our customers and their needs.
 
What We Offer: 
<ul>
<li>Competitive salaries</li>
<li>10 paid holidays each year, vacation, sick time and volunteer time</li>
<li>401(k) with employer match – immediately vested</li>
<li>HSA, pre-tax health savings program</li>
<li>Flexible work schedules that promote a healthy work-life balance</li>
<li>Top-tier medical, dental, and vision insurance</li>
<li>Employer-paid life insurance</li>
<li>Pet Insurance</li>
<li>Tuition Reimbursement</li>
<li>Scholarship Programs</li>
</ul>
 
Job Summary: 
The Cloud Engineering Manager is responsible for the technical direction, execution, and day-to-day leadership of the SignalFire Cloud platform. This role owns the architecture, scalability, reliability, and security of a production, revenue-generating cloud system supporting SignalFire’s LTE-M connected devices and customer applications.
This position is a hands-on technical leadership role managing a small cloud engineering team. The Cloud Engineering Manager actively contributes to system design and development while setting architectural standards, guiding execution, managing releases, and ensuring alignment between engineering work, product priorities, and customer use cases. This role is focused on the SignalFire Cloud platform, while working collaboratively across engineering functions to support overall product success.
Essential Functions: 
<ul>
<li>Own the overall architecture, performance, scalability, reliability, and security of the SignalFire Cloud platform.</li>
<li>Design, develop, and enhance cloud features, data pipelines, dashboards, integrations, and supporting infrastructure.</li>
<li>Serve as the technical authority for the Cloud platform, making architectural decisions that balance customer needs, long-term sustainability, and engineering efficiency.</li>
<li>Lead and manage a small team of Cloud engineers; conduct code reviews, oversee merge approvals, and uphold engineering quality standards.</li>
<li>Own sprint planning, backlog prioritization, JIRA workflows, and release management to ensure predictable delivery.</li>
<li>Coordinate with offshore QA to ensure thorough testing, release readiness, and production stability.</li>
<li>Translate Product and Sales requirements into clear technical plans, estimates, and deliverables.</li>
<li>Ensure production readiness including uptime, monitoring, alerting, incident response, and cloud governance standards.</li>
<li>Continuously improve development processes, tooling, documentation, and deployment workflows.</li>
<li>Partner cross-functionally with Product, Sales, Support, and Operations to align the Cloud platform with business goals.</li>
</ul>
Other Responsibilities: 
<ul>
<li>Participate in hiring and scaling of the cloud engineering team.</li>
<li>Provide technical support for escalations and complex production issues.</li>
<li>Evaluate and recommend improvements to infrastructure, tooling, and system architecture.</li>
<li>Other duties as assigned.</li>
</ul>
Qualifications: 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>7+ years of professional software development experience, including significant work on production cloud systems.</li>
<li>Minimum 2+ years directly managing software engineers, including performance management, technical oversight, and accountability for delivery outcomes.</li>
<li>3+ years owning architecture decisions for a production cloud platform, including roadmap evolution, scalability planning, and technical standards.</li>
<li>Advanced proficiency in Python, with experience writing and maintaining backend services.</li>
<li>3+ years hands‑on experience owning AWS‑hosted systems in production, including infrastructure design, monitoring, and operational support.</li>
<li>2+ years designing and operating IoT or time-series data systems that ingest, process, store, and visualize high-volume device data.</li>
<li>Demonstrated experience with MQTT, REST APIs, and device‑to‑cloud data pipelines.</li>
<li>Strong working knowledge of system reliability, performance, security, and scalability considerations.</li>
<li>Experience managing Git‑based workflows, formal code reviews processes, and owning production releases.</li>
<li>Experience using JIRA (or similar) tools for agile planning, backlog management, and delivery tracking.</li>
<li>Strong communication skills and ability to collaborate effectively with Product, Sales, Support, and Operations teams.</li>
</ul>
Preferred Skills:
<ul>
<li>Experience with industrial IoT, telemetry systems, or hardware‑adjacent cloud platforms. Familiarity with Ignition (Inductive Automation), SCADA platforms, or industrial visualization systems.</li>
<li>Experience designing customer‑facing dashboards, alarms, and configuration tools.</li>
<li>Experience scaling cloud platforms and engineering teams as product usage and customer demand grow.</li>
</ul>
 
Physical Demands: 
While performing the duties of this job, the employee is regularly required to:
<ul>
<li>Stand, walk, bend, reach, and lift or move items up to 40 lbs.</li>
<li>Use hands and arms to handle or operate tools and equipment.</li>
<li>Specific vision abilities required by this job include close vision, distance vision, and depth perception.</li>
<li>Manufacturing Environment: Must be able to work in a manufacturing company, which may involve exposure to machinery, noise, and other industrial conditions.</li>
</ul>
 
Commitment to People and Planet:
TASI Measurement is committed to fostering a sustainable and socially responsible environment. We believe that our success is not only measured by financial gains but also by the positive impact we have on our employees, communities, and the world around us. 
As part of our commitment to people, we strive to provide a supportive and inclusive workplace where every individual is valued, respected, and given equal opportunities to thrive. We prioritize the well-being, safety, and personal development of our employees, recognizing that they are the engine driving our success.

Cloud Engineering Manager

Lead architecture and delivery of cloud platform; 7+ years software development, 2+ years managing engineers, AWS, Python, MQTT, IoT, and cloud pipelines.

Aspentech

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.<h2>The Role</h2>As part of Emerson Electric, AspenTech is a global leader in industrial software, delivering advanced asset optimization solutions for capital-intensive industries. With a presence around the world, we are uniquely positioned to drive innovation and sustainability across energy, chemical, manufacturing, and infrastructure sectors. With origins at MIT over 40 years ago, AspenTech has continually pushed the boundaries of what’s possible in optimization technology. Now, as a key innovation engine within Emerson, our Technology organization includes more than 1,300 experts in performance engineering, subsurface science, manufacturing and supply chain, digital grid management, and asset performance monitoring. Joining this team means transforming cutting-edge ideas into impactful solutions used by hundreds of thousands of professionals globally—shaping the future of industry through technology. As a Data Science Intern in our AI Technology Group, you bring deep technical expertise in build the next generation of Asset Performance Monitoring AI technology. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive innovations in AspenTech’s software platforms.<h2>Your Impact</h2><ul><li>Collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries</li><li>Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings</li><li>Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications</li><li>Provide thought leadership and represent AspenTech at industry and academic meetings and conferences</li></ul><h2>What You'll Need</h2><ul><li>Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD candidates preferred</li><li>5&#43; years of experience in data analysis and software development/programming with one or more of Python, C&#43;&#43;/C and C#</li><li>Strong expertise required in engineering mathematics, statistics and optimization</li><li>Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing)</li><li>Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus</li><li>History of publishing research and results in the ML field</li><li>Participated in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning application</li><li>Problem-solving ability and attention to details</li><li>Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment</li><li>Excellent interpersonal, communication, writing, and presentation skills</li><li>Demonstrated ability to convey complex information in a clear and concise manner</li></ul>Hourly Internship Pay Rate: $40.00 - $50.00Work Location:Aspen Technology has a global hybrid workplace for most of our roles. Employees are expected to work in the office 4 days per week and may work remotely 1 day per week, unless the employee has a reasonable accommodation or other approved exception to the hybrid workplace schedule. Our Internship role is based in our global headquarters in Bedford, MA.Work AuthorizationAspenTech will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Data Science Intern - Summer 2026 - Bedford, MA

Data Science Intern

Master’s in CS/Engineering/OR or related field; 5+ years data analysis and software development; Python, C/C++/C#; ML/AI experience; strong math/statistics; cloud/LLM a plus; US work authorized.

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