Top Software Engineer Jobs in Providence, RI

Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Build and ship maintainable software using Python, React, TypeScript, SQL, and AI-assisted workflows. Design scalable, secure, performant solutions; work with complex data models; and improve engineering processes. Mentor junior engineers, lead code reviews, collaborate with Product and Design, influence technical strategy, and modernize production systems while maintaining reliability and customer experience.

Own the architecture and technical direction of NodeZero’s database platform. Design scalable PostgreSQL systems, multi-tenant data models, graph-based asset models, partitioning, replication, and zero-downtime schema migrations. Establish database standards, governance, and performance practices while writing production code, authoring design documents, mentoring engineers, and influencing teams across the data pipeline.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Develop and maintain software using C#, .NET, web technologies, SQL Server, and AWS. Participate in the full SDLC and Agile Scrum processes, including design, development, unit testing, defect resolution, backlog refinement, and collaboration with product and QA teams. Build solutions using Microsoft-stack technologies, optimize databases and stored procedures, and support cloud-based application delivery.

Build and scale data pipelines and partner integrations for an end-of-life open-source software dataset. Responsibilities include improving data quality, designing configurable risk-scoring models, integrating Kafka and data lakes, automating package generation and publishing, implementing monitoring and CI/CD, and documenting systems. The role also involves technical design, code reviews, mentoring, and collaboration with product and partner-facing teams.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Owns end-to-end development of customer platform features, including Go backend systems, REST/gRPC APIs, entitlements, policies, and onboarding services. Collaborates across engineering teams, extends AI-powered customer experiences, provides technical leadership and mentorship, and drives product-focused delivery in ambiguous environments.

Leads software development for healthcare solutions, implementing customer-focused applications and collaborating with R&D teams. Builds enterprise Java/Kotlin applications, full-stack web applications, component libraries, REST API integrations, and cloud-hosted systems. The role requires experience with Spring, PostgreSQL, React or Angular, AWS, healthcare or EMR integration, Agile development, test automation, and unit testing. Occasional travel may be required, including company-paid onboarding travel.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Develop and deploy onboard swarm autonomy: perception, planning, control, multi-target tracking, inter-robot/C2 protocols, on-vehicle software integration, realistic UxS simulation, train and test ML-based target recognition, and electronics prototyping. Travel for test events up to 25%.

Develop and maintain automated integration test harnesses for OpenStack, cloud infrastructure, and multi-service API applications. Automate smoke, CLI/TUI, GUI, and comprehensive parallel tests across microservice versions and production-like environments. Collaborate with software engineers, SREs, and subject matter experts to define test priorities, integrate testing into CI/CD pipelines, identify coverage gaps, and document test cases. The role requires strong software testing experience, automation development skills, and familiarity with Kubernetes, Kustomize, virtualization, and storage systems.

Designs, builds, and scales backend services and integrations for payments, billing, identity, and partner connectivity. Sets technical vision and architecture for distributed systems, leads cross-team delivery, manages production rollouts, builds fault-tolerant services and data pipelines, and mentors engineers. The role partners with product, design, and engineering teams to deliver frequent, reliable improvements for Flex’s rent payment platform.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Lead the design and implementation of a distributed compute control plane for managing virtual machines across Akamai’s cloud fleet. Own database partitioning and sharding, placement reconciliation, asynchronous operations, consistency guarantees, idempotency, fencing, and saga-style workflows. The role requires deep distributed systems, database, containerization, Kubernetes, and controller-pattern expertise, along with strong Python or Go development skills.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.