Top Tech Jobs & Startup Jobs

Prepares quarterly and annual financial reports, budgets, forecasts, trend analyses, expense accruals, journal-entry support, and ad hoc financial reports. Manages and forecasts expenses for client contracts while researching financial performance, returns, depreciation, business improvements, and investment opportunities. This hybrid role requires Connecticut residency and in-office work one to two days weekly.

Audit and research paid claims to identify and recover overpayments; validate vendor invoices; perform collections and cash application tasks; collaborate across departments; support process improvements and special projects; ensure accurate account balancing.

Designs and develops analytic applications and reporting tools across BI platforms. Gathers requirements, codes complex systems, performs testing and defect fixes, mentors peers, manages small projects, integrates with IT teams, and provides training and BI subject-matter expertise.

Executes strategic sourcing processes for technology subcategories, including AI/software engineering services and SaaS. Negotiates pricing and contract terms, implements sourcing recommendations, manages e-procurement catalog content, and monitors supplier compliance, performance, and cost savings. Collaborates with enterprise commodity teams and improves preferred-supplier adoption.

Supports enterprise data-at-rest encryption, database security, cloud security controls, monitoring, troubleshooting, and incident response across hybrid environments. Uses Terraform, Ansible, scripting, and CI/CD tools to automate security operations and infrastructure deployments. Collaborates with infrastructure, DBA, DevOps, and cybersecurity teams on secure configurations, audits, capacity planning, vendor services, upgrades, and root-cause analysis. The role also supports NIST-aligned controls, cloud database proofs of concept, operational reporting, and technical support.

Leads the architecture, development, and deployment of enterprise-scale AI systems and platforms. Establishes technical direction, architecture standards, governance, monitoring, evaluation, and responsible AI practices. Drives AI-enabled modernization of legacy systems, including code transformation and service decomposition, while improving software development lifecycle productivity. Partners with engineering teams, influences enterprise technology decisions, and mentors technical staff. Requires deep expertise in distributed systems, large-scale architecture, and production AI/ML systems.

Leads enterprise operational resilience, information security, business continuity, crisis management, technology resilience, and third-party risk management programs. Develops risk assessment methodologies, security architectures, access and network security solutions, incident response strategies, policies, standards, and management reports. Serves as a technical escalation point and subject matter expert for stakeholders, vendors, regulators, and senior leadership, including merger and acquisition initiatives.

Develops and maintains complex enterprise applications, including RESTful APIs and user interfaces. Defines API contracts, evaluates requirements, codes and tests system components, performs code reviews, supports integrations, monitors production systems, and provides on-call support. The role collaborates with stakeholders, engineers, designers, QA, and IT teams while mentoring developers and addressing security, scalability, performance, and maintainability concerns.

Defines and manages business systems project scope, requirements, use cases, testing, reliability, performance, and support needs. Bridges business and technical stakeholders, oversees service levels, evaluates enhancement opportunities, estimates functionality changes, and partners with learning teams on training. The role requires collaboration with business, architecture, infrastructure, and IT teams, plus participation in a periodic 24/7 on-call rotation.

Lead architecture, development, and deployment of large-scale production AI systems. Define enterprise AI strategy, standards, and governance; modernize legacy systems; implement AI-enabled SDLC, CI/CD, and DevOps practices; mentor engineering teams and drive adoption of LLMs, agentic systems, and resilient distributed architectures.