Top Senior Software Engineer Jobs in Hartford, CT

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.

Lead front-end architecture and cross-team technical initiatives for the NodeZero platform. Build scalable React and TypeScript systems, reusable components, developer tooling, and shared frameworks while improving performance, reliability, accessibility, observability, and CI/CD workflows. Mentor engineers, establish engineering standards, guide technical strategy, reduce technical debt, and collaborate with Product, Design, Platform, Security, and engineering teams.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Own end-to-end delivery of complex software features for a virtual care platform. Design scalable systems, build AI-powered agents and workflows, enhance reliable mobile and web experiences, and translate clinical and user needs into technical solutions. Collaborate with product managers, designers, and clinical staff while focusing on patient impact, product quality, and engineering efficiency.

Develop and maintain high-scale JavaScript and TypeScript advertising technology, specializing in Prebid.js, Prebid Server, header bidding, and Google Ad Manager. Own the header bidding wrapper, implement ad tech integrations, monitor Core Web Vitals and performance, review code, track industry standards, and maintain deployed solutions. The role requires deep programmatic advertising expertise, Google Cloud experience, and ownership of reliable client-side monetization systems.

Build production-grade test automation infrastructure across API, integration, end-to-end, contract, regression, load, and performance testing. Develop Playwright suites, integrate automated tests with GitHub Actions release gates, create AI-assisted test generation workflows, maintain coverage dashboards, reduce flakiness, and establish performance-testing frameworks. Partner with engineers and product managers to define coverage, acceptance criteria, performance thresholds, and quality standards across the organization.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.

Design, build, and evolve customer-facing backend services and public APIs for Chainguard’s platform. Own features end-to-end from technical design through rollout and iteration, partnering with Product and front-end teams. Develop reliable, observable cloud-native services consumed across multiple products, contribute to roadmap prioritization, and deliver iteratively in a remote startup environment.

Build core experiences for bank administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. The role emphasizes clean, documented, tested code; system design; error handling; performance; domain-driven design; microservice architecture; and technical guidance through code reviews. Candidates will primarily work with front-end technologies while contributing to backend services in an agile Scrum environment.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Lead development of scalable software solutions across frontend and backend systems. Build React and TypeScript interfaces, C# .NET and Node.js services, Terraform-managed AWS infrastructure, and optimized MSSQL schemas and queries. Collaborate on requirements and roadmaps while promoting code quality, testing, RESTful architecture, and CI/CD best practices. The role also uses generative AI tools and coding agents, with preferred experience in Docker, Kubernetes, serverless computing, and automated testing.

Build and operate on-premises infrastructure for containerized AI/ML services. Responsibilities include Kubernetes orchestration, infrastructure automation, CI/CD and GitOps pipelines, observability with Prometheus and Grafana, resilient high-availability infrastructure, and collaboration with mission stakeholders, data scientists, and system administrators. The role supports reliable delivery of mission-critical AI capabilities and may involve model-serving technologies, service meshes, SIGINT systems, and CNO operations.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

Develop and maintain full-stack features for a healthcare analytics platform using Angular, C#, REST APIs, SQL, Snowflake, AWS, and Power BI. Build reports, dashboards, and data pipelines handling claims and other sensitive healthcare data. Participate in testing, code reviews, product planning, on-call support, and compliance with HIPAA and privacy requirements.

Designs and develops scalable, resilient distributed systems and microservices for a cloud-based healthcare platform. The role spans .NET, SQL, Angular, cloud infrastructure, Kubernetes, observability, security, performance optimization, and full-stack development. It provides hands-on technical leadership, architectural guidance, mentoring, incident support, and automation while ensuring compliant handling of PHI and PII data.

Develop and maintain backend software using C# and T-SQL, focusing on import functionality, performance optimization, utility and migration tooling. Responsibilities include test-first development, design and code reviews, debugging, integration and deployment, documentation, collaboration with product management, and on-call support. The role requires strong software engineering practices, scalability and security awareness, regulatory compliance, and independent execution of complex tasks.

Build, deploy, and own scalable consumer applications and services for a digital lending platform, with a focus on React frontend development. Responsibilities include designing features, automated testing, full software development lifecycle participation, collaboration with cross-functional teams, system scalability and reliability, technical debt reduction, mentoring frontend engineers, and using AI-driven coding agents and agentic workflows.

Design and build Go-based storage control-plane services, CSI drivers, integrations, and tooling for Kubernetes AI and compute workloads. Automate storage provisioning using Terraform/OpenTofu and GitOps tools, support hybrid and bare-metal deployments, and develop observability for performance and reliability. Integrate enterprise storage platforms such as Dell PowerScale and VAST across cloud, edge, and air-gapped environments, including K0rdent, Cluster API, Harbor, and PKI/TLS infrastructure.

Lead development of scalable content inspection pipelines using computer vision and vision language models to analyze video and image assets. Design, implement, test, deploy, and support distributed systems that extract temporal metadata, enable validation and enrichment workflows, and improve media discovery. Collaborate with platform and product teams, guide architecture, participate in on-call support, resolve production issues, and mentor engineers while promoting quality engineering practices.