Top Tech Jobs & Startup Jobs in Hartford, CT

Leads a large, multidisciplinary engineering organization responsible for enterprise analytics platforms supporting healthcare applications, AI products, search, translation, and text summarization. Owns engineering strategy, architecture, code quality, platform modernization, reliability, scalability, observability, and cost efficiency. Partners with Data Science, Product, Analytics, and Architecture teams while mentoring leaders and communicating technical strategy to stakeholders.

Actuarial Interns support insurance pricing and product development through risk modeling, research, technical analysis, and ad hoc projects. The role includes collaborating with underwriting, marketing, operations, and software teams; presenting findings; recommending solutions; participating in a rotational program; and completing a capstone project. Candidates should be pursuing Actuarial Science or a STEM degree, graduating in 2028, and authorized to work in the United States.

Graduate intern supporting talent attraction, candidate experience, employee engagement, and leadership development initiatives. Responsibilities include improving careers-site and LinkedIn content, creating interview guides, tracking engagement actions, analyzing leadership development data, supporting onboarding improvements, and coordinating orientation planning. The role requires managing projects across multiple stakeholders while producing clear documentation, status updates, and presentations.

Build, validate, tune, and operate security detections across SIEM, XDR, cloud, identity, endpoint, network, email, and application platforms. Investigate incidents, perform root-cause analysis, improve controls, validate telemetry, automate response workflows, maintain detection lifecycle processes, and support hybrid and multi-cloud security environments. The role includes on-call participation, documentation, threat hunting, attack simulation, purple teaming, and collaboration with security, infrastructure, cloud, networking, and application teams.

Guides multiple Scrum teams or complex teams through mature Scrum and scaled Agile practices. Facilitates ceremonies, backlog refinement, prioritization, retrospectives, dependency management, and cross-team coordination. Uses delivery metrics to improve predictability and team performance, coaches Product Owners and teams, mentors junior Scrum Masters, and supports organizational Agile maturity through communities of practice and transformation initiatives.

Leads the enterprise technology roadmap for Voya’s AI-native wealth management platform, aligning business strategy, product management, customer experience, and engineering execution. Drives a unified digital experience across retirement, wealth management, employee benefits, and investment management. Oversees cross-functional prioritization, AI and cloud adoption, platform integration, stakeholder alignment, governance, and business outcomes including client engagement, retention, cross-sell growth, and digital adoption.

Leads investor services operations, mentors team members, manages institutional client relationships, oversees investor capital activity and communications, ensures regulatory compliance, improves workflows, coordinates with internal departments, delivers training, supports due diligence meetings, and prepares management reports. The role requires substantial investor services experience, leadership capability, knowledge of fund structures and investment vehicles, and strong client communication skills.

Supports Sales Engineers throughout the sales process by developing bills of materials, network and wireless system designs, estimates, proposals, and customer-focused solutions. Coordinates project activities, site walks, surveys, meetings, and presentations while maintaining accurate drawings, records, and documentation. Collaborates with Sales, Operations, customers, vendors, and internal stakeholders to ensure solutions meet requirements and company standards.

Leads sales of storage products and solutions across an assigned territory. The role develops pipelines, prospects customers, qualifies opportunities, creates proposals, negotiates deals, and closes sales. It provides technical expertise to account managers, evaluates solution feasibility, supports customer engagements and demonstrations, collaborates with channel partners, and coordinates storage marketing campaigns. The specialist must understand data lifecycle management, storage competitors, indirect sales channels, and the business value of storage technologies.

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.