Top Remote Software Engineer Jobs in Portland, ME

Design, implement, and optimize high-performance backend services and APIs in Go. Architect scalable, fault-tolerant distributed systems using Kafka for large-scale data processing and streaming. Collaborate with product, frontend, and data teams; monitor and profile systems for performance and reliability; drive engineering best practices; and mentor junior engineers.

Develop, test, and maintain production-quality C++ software implementing Government Reference Architectures for mission-critical defense systems. Translate MBSE (SysML/Cameo) artifacts into interoperable components, implement APIs/ICDs, integrate distributed messaging frameworks (ActiveMQ/DDS/ZeroMQ), and maintain CI/CD, automated testing, containerized builds, and static analysis. Collaborate with systems engineers, architects, autonomy engineers, and government stakeholders to validate interoperability and performance.

Develop and integrate open-architecture, standards-based software for defense and aerospace systems. Implement and map interoperability standards (SOSA, FACE, AMS GRA, UCI), work with serialization formats (OMG IDL, protobuf, XSD, XMI), perform structural and semantic gap analysis, support interface/data model transformations, collaborate with multidisciplinary teams, produce documentation and interface specifications, and participate in architecture and design reviews.

Develop systems software to parse, reverse-engineer, and deterministically generate complex engineering data. Build tooling for schema translation, compiler/transpiler solutions, reproducible CI/CD pipelines, and automated document generation. Collaborate with multidisciplinary teams, support verification/validation, and apply MBSE concepts for engineering integration.

Lead cross-product engineering work: design APIs and data models, turn ambiguous customer problems into technical plans, implement and roll out features across web, APIs, CLI, integrations, and infra, debug production issues, and raise engineering quality through docs, reviews, and mentorship.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly collection/analysis, visualization and root-cause tools, failure classification and monitoring frameworks. Extend compilers, runtimes and programming interfaces for profiling and instrumentation, improve bring-up and low-level debug workflows, lead cross-functional initiatives, support incident response, and establish debuggability and reliability best practices.

Design and build scalable front-end components and related tooling, write automated tests, review peers' code, mentor junior engineers, collaborate with product, design, and DevOps on deployments and infrastructure, and ensure performance, reliability, security, and accessibility for classroom users.

Architect, build, and maintain scalable full‑stack applications using React, TypeScript, Node.js, and AWS. Own features end-to-end, optimize performance and usability, collaborate with founders, and use AI tools to accelerate development in a fast-paced startup.

Lead frontend development of production web applications using Svelte and other frameworks. Build reusable components, integrate REST/GraphQL APIs, ensure UI/UX quality, accessibility, and performance. Lead a small team, coordinate releases with QA, write tests, follow Git and CI/CD workflows, and collaborate remotely with stakeholders across the US.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

Build data-rich, operational UIs for managing individual assets and fleets of autonomous and unmanned systems in distributed, bandwidth-constrained environments. Integrate frontends with backend APIs and platform services, handle complex asynchronous state, apply secure cloud-native deployment practices, and collaborate with cross-functional teams to deliver mission-focused software.

Lead full-stack engineering for a B2B partner portal: design and deploy React/TypeScript front ends, .NET services, and Python data pipelines (Databricks). Integrate LLMs and agentic development into product and workflows, mentor engineers, ensure quality engineering practices, and resolve production issues end-to-end.

Lead design, implementation, and maintenance of scalable backend systems and services. Improve performance, reliability, and deployments; operate production systems (incident response rotation); conduct code reviews; mentor engineers; collaborate with product, sales, and customers.

Lead platform engineering focused on identity, authentication, and authorization across scalable, resilient backend services. Drive architecture, full‑stack TypeScript development, CI/CD automation, testing, on‑call service ownership, and mentor junior engineers while collaborating with cross‑functional teams to deliver cloud, hybrid, and on‑prem deployments.

Design, build, and maintain scalable control-plane features for Cribl Stream to deploy, configure, and orchestrate distributed nodes. Collaborate with cross-functional teams to implement production APIs, automated tests, and reliability improvements. Participate in on-call rotations, incident response, and SaaS operations while using AI-assisted tools to improve development and operational efficiency.

Design, build, and maintain scalable, secure backend services powering bank accounts, cards, and payments. Own distributed systems, design data models across SQL/NoSQL, build RESTful APIs, improve reliability and observability, participate in code reviews, and collaborate with cross-functional teams to deliver secure, maintainable solutions for millions of users.

Design, implement, and operate low-latency, high-throughput C++, Go, and Python services for real-time sensor ingestion, tracking, inference, and data pipelines. Build IPC/messaging interfaces, optimize data structures and Protobuf serialization, deploy containerized services on Kubernetes (Argo/Helm) in GCP, and implement observability, testing with historic/simulated data, and end-to-end O&M.

The Senior Software Engineer designs and develops software applications, optimizes APIs and databases, collaborates with teams, and ensures code quality through various testing practices.

Design and build React-based applications, support component design and deployment practices, implement data storage and scalable performance optimizations, work with clients and technical leads, apply UI/UX principles, testing at all levels, collaborate on code reviews and agile delivery.

Designs, builds, and maintains scalable backend and frontend systems (approx. 60% backend/40% frontend), including data pipelines, Kafka streams, REST APIs, and cloud-native deployments on AWS/Kubernetes. Participates in design/code reviews, on-call rotation, troubleshooting, performance optimization, testing, mentoring, and architectural discussions while championing API-first approaches and improving monitoring and tooling.

Design, build, and operate scalable backend services and APIs for a SaaS platform using Python/FastAPI. Ensure reliability, performance, and observability across distributed systems. Work with PostgreSQL, SQLAlchemy, Temporal, Redis, AWS, and Terraform. Build frontend features with React and TypeScript, integrate third-party APIs, adopt AI-assisted development tools, mentor engineers, and drive architecture and developer experience improvements.

Lead design and implementation of advanced systems features for Postgres, focusing on performance optimization and scalability. Mentor engineers and drive architectural direction for large-scale database systems.

As a Senior Software Engineer, you will maintain and develop data connectors, enhance data integrations, and improve developer experience within the ClickHouse data ecosystem.

The role involves designing and maintaining a scalable cloud infrastructure, working with cloud technologies, and improving system performance and security.