Top Software Engineer Jobs in Rome

Design and maintain scalable cloud-native data processing services using Java and Go. Build ETL pipelines, data enrichment workflows, REST and GraphQL APIs, and automated testing and CI/CD practices. Guide AI-assisted development, evaluate generated code, make architectural decisions, and optimize distributed systems for performance, reliability, and scale across thousands of enterprise environments. Collaborate with engineering and product teams in an agile environment.

Develop and operate production-grade machine learning systems involving LLMs, multimodal models, and deep learning. Responsibilities include building backend services and APIs, managing CI/CD, testing, deployment, monitoring, and optimizing data pipelines, GPU workloads, inference latency, and costs. The role collaborates with AI researchers to productionize prototypes, maintain scalable cloud or HPC deployments, and support open-source releases with robust documentation and packaging.

Build and maintain ERP business management features across backend services, APIs, databases, and user interfaces. Develop reliable software, implement database models and schema changes, investigate issues, write tests, monitor releases, conduct code reviews, and communicate risks. The role requires professional software development experience and offers opportunities to grow into larger engineering responsibilities while working with technologies including Python, Django, React, PostgreSQL, AWS, and Kubernetes.

Develop and maintain C# and .NET applications, APIs, integrations, and backend services. Contribute to platform modernization, technical design, testing, code reviews, troubleshooting, and release activities. Collaborate with Product, QA, and Engineering teams in an Agile environment while adopting AI-assisted development, automation, and modern engineering practices.

Designs and builds Notabene’s Go-based transaction platform for secure, scalable, multi-tenant crypto transfers. The role focuses on distributed systems correctness, PostgreSQL performance, cloud infrastructure, observability, auditability, and regulated-data security. The engineer owns production operations, writes technical designs, reviews code, mentors teammates, collaborates with product and compliance teams, uses AI coding agents, and participates in on-call rotations.

Design and develop enterprise AI applications using LLMs, Generative AI, RAG, Azure AI services, C#/.NET, and Python. Build backend services, APIs, integrations, and data-driven applications; evaluate models, prompts, performance, quality, and cost; and contribute to architecture decisions. Collaborate with engineers and domain experts to identify use cases, explain technical solutions, document work, and guide junior developers.

Design and build Go services for Telnyx’s serverless platform, function deployment pipeline, global control plane, and edge infrastructure. Own backend APIs, resource lifecycles, workload deployment, asynchronous workflows, observability, and reliability. Work with Kubernetes, distributed systems, relational databases, and multi-region services. Improve developer experience through APIs, CLI tooling, and clear error handling, while participating in on-call and diagnosing production performance and reliability issues.

Maintain and evolve FAdmin, a mission-critical Ruby on Rails flyer processing system, and related Content Platform tools. Deliver roadmap features end to end, support service desk requests, use AI coding agents to improve delivery and code quality, write automated tests, participate in code reviews, and maintain CI/CD pipelines. The role requires production software development experience, relational database and SQL expertise, and strong English communication.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Own the design, development, and delivery of complex ERP features, backend services, APIs, data models, and user-facing functionality. Ensure reliability, performance, data integrity, and maintainability across production systems. Collaborate with Product and engineering teams, lead incident resolution, conduct code reviews, improve testing and monitoring, and mentor intermediate developers. Contribute to architecture, technical planning, hiring, and safe deployment practices including feature flags, incremental rollouts, and data migrations.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Maintain and evolve the Storybook codebase, designing APIs for developers, addon authors, and maintainers. Responsibilities include issue triage, pull request reviews, RFC development, educational content, community engagement, cross-team collaboration, and support rotation participation. The role requires strong web development experience, knowledge of frontend frameworks and build tools, excellent communication, and enthusiasm for improving developer experience and AI-assisted development workflows.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Build and scale backend systems for AI-native construction procurement software. Own data models, GraphQL APIs, distributed processing semantics, integrations with construction ERPs, authorization, approvals, and transactional business workflows. Develop in Go with Postgres and AWS, while contributing to AI-driven document extraction, optimization, observability, and complex integrations. Collaborate in a fast-moving startup environment with evolving product requirements and strong ownership expectations.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground-support vehicles in airport environments. Responsibilities include selecting planning algorithms, architecting software interfaces, optimizing trajectories, addressing uncertainty and real-time constraints, collaborating with perception and controls teams, applying safety practices, and mentoring engineers. The role requires strong C++ or Python skills, Linux experience, and hands-on autonomous systems planning experience.

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Build and maintain scoped features, integrations, prototypes, and internal tools across Polyant and PlugSync. Investigate AI agent capabilities, LLM APIs, retrieval, evaluations, API synchronization workflows, authentication, retries, data consistency, and error recovery. Convert validated experiments into tested, documented, observable software with clear deployment paths. Debug operational issues, use AI coding tools responsibly, and share findings with delivery teams. The role requires independent software delivery, collaboration with the R&D Lead, and occasional in-person team days in Italy.