Top Remote Senior Level Jobs in Hartford, CT

Develops aerospace, defense, and space business by identifying programs, shaping pursuits, creating capture plans, and closing long-term agreements. Serves as a technical advisor on interconnect, wire, cable, and harness solutions, supporting design-in, qualification, simulations, material trade-offs, and standards alignment. Builds relationships with primes and Tier-1/2 contractors, coordinates technical and sales resources, manages account strategy and forecasts, provides market intelligence, and influences product roadmaps.

Support SEO and AI Search strategy execution across client accounts through search behavior analysis, technical audits, content strategy, competitive research, structured data implementation, AI crawler management, reporting, and strategic recommendations. Collaborate with content, development, analytics, paid search, and client teams while testing emerging approaches across traditional search engines and AI platforms.

Leads full-cycle recruiting by developing sourcing strategies, screening candidates, managing candidate and hiring-manager communication, coordinating interviews, maintaining applicant tracking system data, analyzing recruiting metrics, and advising hiring managers on talent strategies and future hiring needs.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

Serve as a strategic HR advisor across multiple software companies and countries. Lead employee relations investigations, performance management, workforce planning, organizational design, manager coaching, people analytics, compliance guidance, and HR program development. Support M&A integration by harmonizing people practices across acquired entities, reinforcing culture, and managing cross-entity HR initiatives. Partner with senior leaders, legal counsel, Total Rewards, and Payroll in a fast-paced, multi-entity environment.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Manage complex client compensation engagements, including benchmarking, market pricing, salary structure design, job architecture, leveling, compensation strategy, policy documentation, and communications training. Advise senior client stakeholders using compensation data and tailored recommendations. Lead cross-functional collaboration, support revenue and renewal activities, mentor teammates, and improve service delivery processes.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Own and grow a portfolio of client accounts by identifying expansion opportunities, scoping and closing retainer and project work, negotiating pricing, managing renewals, and reducing churn. Build account plans, conduct data-driven quarterly business reviews, engage senior marketing stakeholders, maintain Salesforce, and independently generate pipeline in a marketing agency environment.

Architects and scales enterprise data models, dimensional models, dbt transformation pipelines, semantic layers, and BI datasets. The role focuses on data quality, testing, observability, governance, metric standardization, documentation, performance optimization, and secure access controls. It partners with executives and cross-functional teams, leads analytics engineering initiatives, troubleshoots complex data issues, owns domain models, and mentors engineers while advancing the company’s analytics platform strategy.