Software Engineer

Via Separations is a Boston-area startup dedicated to enabling process efficiency and intensification for the industrial sector. In 2024, Via delivered its first commercial facility and changed the narrative around market-driven energy technologies that drive value for industrial customers. At the intersection of engineering, society, and impact, our team is passionate about making a difference and building the technology and organization to do it. We are a fast-paced, interdisciplinary team backed by leading venture capital firms, and we are looking to add talented, mission-driven people to our cohort.


We are passionate about transformative impact, optimistic about scientific progress, and unafraid of hard problems. We believe that our people are our unfair advantage, and drive our mission forward. We embrace the diversity of our team for creative solutions and believe the best ideas come from the intersection of disciplines and perspectives. We want you to join us!


We are seeking a Software Engineer to own and evolve our cloud infrastructure and back-end systems while contributing to the ongoing development and improvement of our codebase. This role complements our existing developer's expertise in database architecture and web application development - bringing deep AWS cloud knowledge and back-end systems thinking to our small, high-impact engineering team.

As part of our team, you will take ownership of our AWS infrastructure across multiple environments, debug and enhance existing Python and TypeScript codebases, and help establish the engineering processes and best practices that will allow Via to scale. Your intellectual curiosity and willingness to roll up your sleeves and dig into a potentially unfamiliar problem will help our company grow its software platform and internal tooling while maintaining high standards of quality and reliability.

Key Responsibilities

• Design, deploy, and manage AWS cloud infrastructure (ECS Fargate, RDS, S3, IAM Identity Center, CloudTrail, CloudWatch) across development, staging, and production environments.
• Debug, troubleshoot, and improve existing Python (FastAPI/SQLAlchemy) and TypeScript (React) codebases.
• Build and maintain data pipelines (Python ETL) that power our real-time industrial monitoring platform.
• Manage and improve CI/CD pipelines using GitHub Actions and infrastructure-as-code tooling (Terraform).
• Establish and document software development best practices, testing strategies, and engineering workflows for the team.
• Collaborate with engineers and cross-functional stakeholders to gather requirements and translate them into reliable, scalable software solutions.
• Support system integrations and contribute to the continued development of our warehouse management and process monitoring products.
• Report out on project status and manage timelines and deliverables for high-visibility initiatives.

Preferred Qualifications

• Degree in Computer Science, Engineering, or equivalent work experience.
• Entry-level applicants with strong fundamentals are welcome; 3-5 years of professional experience is preferred.
• Proficiency in Python and TypeScript/JavaScript, with SQL skills.
• Hands-on experience with AWS services (ECS/Fargate, RDS, S3, IAM, CloudWatch, CloudTrail, Security Hub, Elastic Beanstalk, API Gateway, Amplify, or similar).
• Familiarity with infrastructure-as-code tools such as Terraform or AWS CDK.
• Experience with Docker, containerization, and container orchestration.
• Experience building or maintaining CI/CD pipelines (GitHub Actions or equivalent).
• Strong debugging and problem-solving skills; comfort diving into an unfamiliar codebase.
• Experience designing and working with REST APIs.
• Familiarity with FastAPI or similar Python backend frameworks is a plus.
• Familiarity with industrial data infrastructure, such as SCADA systems, data historians (e.g., Canary, OSIsoft PI), or OPC protocols.
• Effective communication skills to collaborate with both technical and non-technical stakeholders.
• Ability to balance competing priorities, manage ambiguity, and deliver results in a dynamic environment.
• Ability to work from our Watertown, MA office at least 3 days/week.
• Some travel (up to 5%) may be required.
• U.S. work authorization is required for this role.

We Offer

• Competitive compensation package, including equity options
• Medical, Dental & Vision Insurance
• Disability & Life Insurance
• 401(k)
• 12 weeks of paid Family Leave
• Flexible PTO policy
• 10 paid company holidays
• Onsite gym

$80,750 - $110,000 a year

In addition to the base salary range listed above, Via's compensation package includes an annual performance bonus and equity options.

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they can perform every job description task. We are most interested in finding the best candidate for the job, and that candidate may come from a less traditional background. Via may consider an equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role!

At Via, we value and prioritize diversity of thought, access, and experiences, and are an equal opportunity employer by choice. We consider all qualified applicants equally for employment. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.