Explore 3 backend python developer jobs from 3 hiring companies in Lebanon, ME, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Backend Python Developer

Sanford

Rochester

Somersworth

Dover

South Sanford

Biddeford

Wells Beach Station

Saco

Portsmouth

York Beach

South Berwick

Waterboro

West Scarborough

Durham

Barrington

Springvale

Westbrook

South Portland Gardens

Portland

Backend Python Developer Jobs

DEKA Research & Development

Fidelity Investments

Onsite

Hybrid

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference &#8212; this is your opportunity, and it starts with the software you design and deliver at DEKA. This role is on-site at DEKA in Manchester, NH. Relocation is not available, local candidates only. How You Will Make an Impact:<ul><li>Design and implement scalable backend services and microservices powering data-intensive, real-world applications</li><li>Build and deploy production ML models across the full lifecycle from feature engineering and training through evaluation, deployment, and monitoring</li><li>Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies</li><li>Architect systems that integrate ML models with rule-based decision engines for automated, real-time decisioning</li><li>Collaborate across disciplines to translate complex requirements into reliable, elegant engineering solutions</li><li>Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what software can do</li></ul>Required Experience/Knowledge:<ul><li>M.S. in Computer Science, AI, or a related field</li><li>6+ years in backend software engineering and distributed systems</li><li>Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python</li><li>Hands-on experience building and deploying production ML models (PyTorch or equivalent)</li><li>Experience with distributed systems and streaming technologies: Apache Kafka, Apache Spark, ZooKeeper</li><li>Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design</li><li>Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB)</li><li>Familiarity with AWS or equivalent cloud platforms</li></ul><ul><li>Strong problem-solving skills </li><li>Intrinsic drive to understand how things work and make them better</li><li>Excellent communicating and collaboration across engineering, data, and product teams</li></ul>

Machine Learning Engineer

MS in CS or AI; 6+ years backend and distributed systems; strong Java/Python; production ML models; Kafka/Spark; microservices; databases; AWS.

Please note: This role is open only to candidates located in Chicago, IL; Dallas, TX; New York City, NY; Boston, MA; or Portland, ME.We are currently unable to provide immigration sponsorship or support, either now or in the future.At WEX, we simplify the business of running a business. Our WEX Benefits solutions reduce complexity and help employers manage the cost and administration of employee benefits.We are looking for passionate technologists, collaborators, and problem solvers to join our Benefits Technology team as we build the next generation of employer benefits platforms and services.As a Senior Software Engineer, you will work closely with Product Managers, customers, and engineering peers to understand the challenges employers face in the evolving benefits landscape. You will design and deliver scalable, high-quality solutions using modern engineering practices, including test-driven development and cloud-native architectures.You will have the opportunity to contribute to mission-critical systems, influence technical direction, and help shape engineering standards across the team.<h2>How You’ll Make an Impact</h2><ul><li>Partner with Product and stakeholders to understand customer challenges and translate them into technical solutions</li><li>Design, build, test, and deploy scalable, secure, and high-quality software solutions</li><li>Use data to measure outcomes, validate assumptions, and drive engineering decisions</li><li>Develop and maintain microservices and event-driven architectures</li><li>Strengthen engineering practices including TDD, BDD, and CI/CD automation</li><li>Support production systems through monitoring, incident response, and continuous improvement</li><li>Identify performance bottlenecks and optimize systems for scalability and reliability</li><li>Mentor peers and contribute to a culture of technical excellence and continuous learning</li><li>Take ownership of work, operate independently, and deliver high-quality outcomes with minimal supervision</li></ul><h2>Experience You’ll Bring</h2><h3>Software Engineering &amp; Systems</h3><ul><li>7&#43; years of software engineering experience</li><li>Strong background in backend development, distributed systems, and scalable architecture</li><li>Proficiency in modern backend technologies such as C#, .NET, Java, or Python</li><li>Strong understanding of data structures, algorithms, and object-oriented design</li><li>Experience building and consuming REST APIs</li><li>Hands-on experience with React or modern UI frameworks</li><li>Experience with relational and NoSQL databases (e.g., SQL Server, PostgreSQL, MySQL, MongoDB)</li><li>Strong knowledge of CI/CD pipelines and Git-based workflows</li><li>Experience with cloud-native development in AWS or Azure</li><li>Understanding of software security principles and OWASP guidelines</li><li>Experience writing unit tests and maintaining high test coverage</li><li>Familiarity with Agile development methodologies</li><li>Proven ability to deliver complex projects on time</li></ul><h2>Cloud, DevOps &amp; Infrastructure</h2><ul><li>Experience with cloud services (AWS or Azure), including IAM, compute, storage, and API services</li><li>Familiarity with containerization using Docker and orchestration using Kubernetes</li><li>Exposure to CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins</li><li>Basic understanding of Infrastructure-as-Code (Terraform preferred)</li><li>Familiarity with observability tools (Prometheus, Grafana, CloudWatch, Azure Monitor)</li></ul><h2>AI, Agentic Systems &amp; Emerging Technologies</h2><ul><li>Familiarity with LLM concepts and frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI</li><li>Exposure to Retrieval-Augmented Generation (RAG) and interest in evolving toward Agentic RAG systems</li><li>Understanding of agentic workflows including tool use (function calling) and state management</li><li>Awareness of vector databases (e.g., Pinecone, Milvus) and semantic search concepts</li><li>Interest in emerging protocols such as Model Context Protocol (MCP)</li><li>Experience or curiosity in building AI-native features and LLM-based automation in CI/CD pipelines</li></ul><h2>Leadership &amp; Collaboration</h2><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or related field</li><li>Strong collaboration skills in agile, cross-functional, and distributed teams</li><li>Ability to communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders</li><li>Proven ability to work effectively in geographically distributed teams</li><li>Self-driven, proactive, and highly accountable for deliverables</li><li>Continuous learner with strong interest in evolving cloud and AI technologies</li></ul><h2>Technology Must-Haves</h2><ul><li>C# / .NET (or equivalent backend language such as Java or Python)</li><li>React</li><li>REST API development (ASP.NET or equivalent frameworks)</li><li>Docker</li><li>Kubernetes</li><li>SQL &amp; NoSQL databases</li><li>Cloud platforms (AWS / Azure)</li><li>CI/CD pipelines</li><li>Event-driven architecture</li></ul><h2>Nice to Have / Learn Quickly</h2><ul><li>Terraform</li><li>Helm / ArgoCD</li><li>GitHub Actions</li><li>GraphQL</li><li>Kafka</li><li>Azure advanced services</li></ul>The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

Senior Software Engineer (C#/.NET & AI)

Senior Software Engineer

Senior software engineer with 7+ years of backend experience, strong C#/NET/Java/Python, REST APIs, React, databases, CI/CD, cloud (AWS/Azure).

<h2></h2><h2>Job Description:</h2>Note: Fidelity will not provide immigration sponsorship for this positionPrincipal, Full Stack Engineer (SRE)The RoleOur Engineering Productivity &amp; Reliability Tools group within Enterprise Infrastructure builds high impact internal applications that help SREs work smarter and operate more reliably. We deliver full stack systems that streamline workflows, surface real time insights, and enable automation at scale.We create tools that simplify complex infrastructure tasks, improve observability, and reduce cognitive load through resilient, thoughtful design.We are seeking a Full‑Stack Engineer with strong software fundamentals and solid experience in distributed systems. You will collaborate with SREs to convert real‑world operational pain points into well‑crafted, reliable internal tools.The Expertise and Skills You Bring<ul><li>Bachelor’s degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master’s degree a plus.</li><li>5&#43; years of professional software engineering experience; experience contributing to or leading technical direction a plus.</li><li>Proven experience building full‑stack applications and services in a modern development environment.</li><li>Experience developing cloud‑native applications, preferably on AWS.</li><li>Hands-on experience with container orchestration, preferably with Kubernetes</li><li>Familiarity with agile development methodologies and collaborative engineering practices</li><li>Strong full‑stack development experience using Python, Node.js, or Go on the backend, and modern UI frameworks such as React or React Native on the frontend.</li><li>Ability to design and build reliable, scalable services, APIs, and automation tools used by engineering teams.</li><li>Familiarity with event‑driven architectures and messaging technologies such as Kafka, SNS/SQS, or similar</li><li>Experience integrating with observability platforms (Datadog, Grafana, Prometheus, OpenTelemetry, etc.) and instrumenting applications for metrics, logs, and traces.</li><li>Understanding of AIOps concepts and experience using or integrating tools that support anomaly detection, intelligent alerting, or operational insights.</li><li>Ability to reason about performance, scalability, and data‑flow patterns in distributed systems</li><li>Comfortable working with relational and NoSQL databases, with a high‑level understanding of schema design and data modeling</li><li>Strong grasp of DevOps concepts including CI/CD pipelines.</li><li>Familiarity with Infrastructure‑as‑Code tooling (Terraform, CloudFormation, Ansible, etc.)</li><li>Strong communication skills and the ability to partner with SREs, developers, and platform teams to understand needs and deliver intuitive solutions.</li><li>Curiosity, willingness to learn new technologies, and a strong sense of ownership.</li><li>Build full‑stack internal tools that improve operational efficiency, automation, and visibility for SRE teams.</li><li>Translate engineering pain points into scalable solutions that simplify workflows and enhance reliability.</li><li>Develop backend services, automation frameworks, dashboards, and UIs that reduce cognitive load and accelerate troubleshooting.</li><li>Ensure the tools you build are performant, resilient, and easy to support as usage scales.</li><li>Support engineers through clear documentation, thoughtful UX, and ongoing partnership across teams.</li></ul><h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Principal, Full Stack Engineer (SRE)

Full Stack Engineer

5+ years of software engineering; full-stack experience; cloud-native on AWS; Kubernetes; Python/Node.js/Go backend; React frontend; observability; CI/CD; IaC; strong partnering with SREs.

Backend Python Developer Jobs in Lebanon, ME, US | HiringCafe: every job on earth

Backend Python Developer Jobs in Lebanon, ME, US

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