Top Software Engineer Jobs in Portland, ME

Develop backend services and APIs that help onboard new banking clients into production. Integrate with client core-provider APIs and third-party services for checkbook ordering and ACH transfers, improve product services, and accommodate client-specific account-opening workflows. Collaborate with clients and product teams, design scalable solutions, write tested and documented code, address error handling and edge cases, and provide technical guidance and code reviews.

Develop backend services and APIs that streamline client activation and production onboarding. Build and enhance integrations with core provider APIs, checkbook ordering, ACH transfers, and product services. Collaborate with clients to understand account-opening nuances and partner with product teams to incorporate them into the platform. Write clean, documented, tested code; address error handling, logging, edge cases, system design, performance, and architectural tradeoffs. Provide technical guidance and code reviews.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to products, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and collaborate with global teams while receiving mentorship and hands-on experience.

Software engineering intern supporting the design, development, integration, and enhancement of complex software applications. The role involves contributing to team goals, creating innovative solutions, developing high-quality features, applying software development lifecycle and configuration management practices, and collaborating with engineers. Interns receive mentorship, hands-on experience, relocation benefits, and short-term housing when eligible.

Summer 2027 software engineering intern who will design, develop, integrate, and enhance complex software applications and product features. The intern will collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and contribute to customer-focused innovation. The role includes mentorship, professional development, relocation benefits, and short-term housing eligibility.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to customer products, create innovative solutions, apply software development lifecycle and configuration-management practices, and collaborate with engineers in a global organization. The internship includes hands-on technical experience, mentorship, professional development, and potential relocation benefits and short-term housing.

Develop, test, and maintain software components across the full software development lifecycle. Build user interfaces, REST APIs, services, and data-access logic using Microsoft technologies and modern UI frameworks. Write unit tests, participate in code reviews, debug defects, and collaborate with Product, QA, and engineering teams. Use AI-assisted development tools responsibly while following security, compliance, and software quality practices.

Build and maintain SaaS applications in a continuous delivery environment. Design and ship features, evolve core infrastructure, optimize REST APIs, write Python code, participate in code reviews, and collaborate with engineers and product managers. The role requires delivering robust software with increasing independence while contributing to an Agile, cross-functional team. Preferred experience includes cloud computing, modern Python frameworks, production AI/ML integrations, AI-powered developer tools, prompt engineering, and LLM APIs.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Build and maintain multi-layer test automation, improve CI/CD release integrity, and develop internal tools that enhance testability and developer experience. Establish quality metrics, dashboards, and observability for product stability and release readiness. Partner across engineering, infrastructure, product, SRE, and quality teams to implement shift-left practices, performance, resilience, security, API, and dependency testing. Drive automation-first quality improvements and promote consistent engineering standards.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Join Archy as a Senior Platform Software Engineer to enhance dental practice management through a scalable SaaS solution, focusing on cloud infrastructure, CI/CD pipelines, and AI integration.

Build AI-powered product quality infrastructure for capturing, synthesizing, routing, and acting on customer feedback. Develop bug intake and triage systems, dashboards, data pipelines, analytics tooling, and integrations with ticketing, payment, CRM, and data warehouse systems. Partner with support engineers and domain specialists to improve product quality and ship internal tools quickly.

Leads the Bioinformatics Software Engineering team and owns engineering strategy, architecture, delivery, modernization, and production support for clinical genomics platforms. Oversees software engineers, bioinformatics workflows, data integration, automation, quality systems, release governance, reliability, and regulatory compliance. Partners with clinical, laboratory, scientific, quality, product, operations, and executive stakeholders to convert research methods into validated production workflows. Guides AI-enabled engineering initiatives while ensuring privacy, traceability, clinical-grade quality, and operational resilience.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Lead architecture, design, and implementation of a cloud-native, event-driven TFDM platform using Kafka and streaming technologies. Drive AI-assisted development, containerization, IaC, CI/CD, and production reliability. Provide hands-on development, mentoring, troubleshooting, executive briefings, and oversight across integrations, security, testing, and deployments.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.