Top Senior Software Engineer Jobs in Hartford, CT

Build and own backend, data architecture, and integrations for operations. Replace manual workflows with automations and AI agents, ship internal tools, ensure reliable data flows, monitoring, and documentation, and support production systems used by ops.

The Senior Back-End Software Engineer will design and implement a serverless platform, work closely with the product team, and own entire projects, driving innovation in telehealth.

The Senior Software Engineer will lead projects, architect solutions, mentor junior staff, and work full stack on platform development.

The Senior .NET Software Engineer will drive development of .NET software products, focusing on back-end engineering, code reviews, and collaborating with cross-functional teams.

Senior engineer responsible for designing, building, and operating scalable data ingestion, processing, storage, and member-facing membership application. Drive architecture decisions, mentor engineers, build data pipelines, APIs, and ensure reliability, observability, CI/CD, and documentation while partnering with product and analytics stakeholders.

Lead complex software projects, mentor engineers, and set technical direction at Vanta while contributing to security and compliance solutions.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Serve as the technical IC leader for the Provider organization: set technical roadmap and engineering standards, design and review architectures, drive cross-team initiatives, mentor engineers, and deliver high-throughput, low-latency, cloud-based microservice systems for provider-focused products.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

As a Senior Full Stack Software Engineer, you will build and improve products, create user interfaces and APIs, and collaborate with various teams to enhance the customer experience.

As a mid-level Software Engineer, you'll deliver Python-based platform features, collaborate with teams, and maintain system reliability and scalability.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Build and maintain software integrations connecting Cribl’s stream-processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, develop robust Node.js and TypeScript code, create automated and integration tests, collaborate across engineering and product teams, participate in code reviews and on-call support, and contribute to documentation and technical communities.

Staff Software Engineer responsible for shaping technical strategy and architecting automation systems for package creation, testing, and container image builds. The role involves developing production Go, AI- and LLM-powered developer tooling, quality frameworks, CLIs, and scalable services. Responsibilities include mentoring engineers, influencing roadmaps, improving reliability, and collaborating across distributed teams. Candidates need strong systems architecture, Linux, build systems, container ecosystem, and developer tooling experience, with familiarity in software supply chain security preferred.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, and integrations, along with AI- and LLM-powered pipelines for manifest generation, test scaffolding, and validation. Create quality tooling, evaluation loops, and security gates while contributing to system architecture and roadmap planning. Collaborate with distributed engineering teams across North America, Europe, and India.

Build and own reliable, secure, scalable backend systems for real-time card authorization and fraud prevention. Develop customer-facing features including rules, velocity controls, 3D Secure flows, fraud tooling, and transaction monitoring. Lead projects end-to-end, improve system reliability, participate in on-call rotation, and drive process improvements while solving distributed-systems challenges at scale.

Design, scale, and optimize APIs, services, databases, and critical wagering, financial ledger, and regulatory systems. Lead complex technical initiatives, improve production performance and resilience, build integrations and migrations, manage monitoring, and mentor engineers. The role requires ownership of end-to-end delivery, on-call operations, scalable distributed systems, GraphQL, relational databases, Kubernetes, asynchronous processing, and highly accurate, auditable financial systems.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.