Top Senior Engineering Manager Jobs in Hartford, CT

Lead the Engineering Enablement team owning CI/CD, testing, dependency management, developer tooling and AI-partnered development. Define productivity metrics, drive cross-org change, grow engineers, and run internal platform as a product to improve developer feedback loops and observability.

The Senior Engineering Manager will lead a team in architecting and maintaining Wikimedia's data feeds, focusing on collaboration, technical strategy, team development, and budget management.

Lead and grow cross-functional engineering teams delivering Salesforce-centered services (Sales Cloud, Health Cloud) and backend systems. Drive agile delivery, technical architecture, code quality, cloud/IaC practices, and healthcare compliance (HIPAA, SOC 2). Collaborate with Product, Design, Security, and Marketing to prioritize roadmap, improve engineering operations, and report performance metrics to stakeholders.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Lead and mentor a cross-functional software engineering team to deliver OS features for mission-critical edge systems. Manage timelines, risks, contractors, and resource allocation while ensuring safety, compliance (e.g., DO-178C), code quality, and Agile processes in certification-driven environments.

Manage and mentor multiple small engineering pods building and operating the control plane. Provide technical leadership, drive cross-functional product outcomes, hire and grow engineers, oversee on-call and incident response, and ensure high-availability production services while fostering an inclusive, remote-friendly engineering culture.

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

Lead and coach multiple full‑stack engineering teams and Consultants in Training. Set technical direction for Capstone Projects, translate requirements into deliverables, drive architecture and system design, manage schedules and performance, and improve recruiting and delivery pipelines. Champion agile practices, quality, tooling, and continuous improvement while interfacing with clients and senior leadership to deliver enterprise-scale software and mentor consultants toward placement and career growth.

Lead and grow a software engineering team to design, build, and operate high-performance, scalable, observable networking systems for Azure AI/HPC infrastructure. Drive architecture, reliability, testing, automation, and cross-team collaboration to support large-scale distributed training and inference workloads.

Leads a cloud engineering team responsible for Redpanda Cloud, BYOC, Serverless, and Agentic Data Plane initiatives. Owns roadmap delivery, operational excellence, incident response, SLOs, and day-two operations while partnering with Product and customer-facing teams. Coaches, develops, hires, and retains engineers; translates product priorities into engineering plans; manages risks and dependencies; and drives reliable, high-quality launches across distributed cloud services.

Lead and grow the Database Reliability team to ensure highly available, scalable databases. Mentor engineers, shape incident response and capacity planning, collaborate with infrastructure/product/security, drive best practices for Postgres and CockroachDB, hire and scale the team, and own monitoring, cost optimisation, and performance tuning across environments.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

As an Engineering Manager, you'll lead and develop an engineering team, ensuring technical quality, fostering growth, and guiding product initiatives, while utilizing AI effectively.

Lead engineering execution and people management for an open-source enterprise AI product transitioning from R&D incubation to production. Manage a senior engineering team, contribute code, review technical work, improve planning and release practices, and ensure quality, reliability, security, privacy, and maintainability. Partner with product and technical leaders on AI-enabled, multi-platform, customer-controlled architectures, while supporting hiring and scaling the team for enterprise adoption.

Leads the FastAuth software engineering team, owning technical direction, delivery across multiple workstreams, team health, hiring, performance management, and career development. Partners with architects and cross-functional stakeholders on TypeScript, React, .NET, Azure, and event-driven architecture. Drives scaled agile planning, delivery metrics, AI tooling adoption, organizational health, and resolution of cross-team priorities while supporting continuous software delivery.

Leads a small full-stack engineering team maintaining and enhancing a secure, scalable e-signature SaaS platform. Responsibilities include technical direction, mentoring, .NET and Angular development, Azure operations, reliability and performance improvement, incident response, deployment coordination, security and compliance, code reviews, technical debt reduction, and stakeholder collaboration. The role remains hands-on while overseeing platform stability, auditability, observability, and continuous product improvement.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

Lead and grow distributed database-internals engineering teams owning TimescaleDB. Set technical roadmaps, prioritize work with Product, collaborate with Platform, handle customer escalations, mentor engineers, and drive delivery of reliable, high-performance database systems.

Lead and grow a full‑stack team building the Console, Tiger CLI, and MCP integrations. Own customer-facing domains (UI, billing, observability), set technical direction for a JavaScript/Go stack, hire and mentor engineers, establish engineering practices, and partner with Product and Design to deliver polished features. Be hands-on and drive organizational change during growth.

Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.

Lead and grow a distributed software engineering team building Azure Kubernetes Service infrastructure. Define architecture, drive design reviews, ensure security, reliability, observability, CI/CD, and operations at scale. Guide implementation, incident response, and continuous improvement while coaching engineers and aligning stakeholders across Azure product teams.

Lead and grow an engineering team building SELECT, a cloud cost management platform. Drive technical strategy, architecture, development practices, reliability, and cross-functional execution. Mentor engineers, manage performance and hiring, and improve delivery processes to scale the product and organization.

Lead a small senior team building and operating Docker Build Cloud and Hub build systems, driving delivery of hardened, verifiable build infrastructure. Own roadmap execution, operational reliability and on-call, technical direction alongside engineers, hiring and developing staff, and raising security hygiene across CI/CD, image hardening, and supply-chain provenance for regulated customers.

Lead and grow engineering teams responsible for the Akamai Compute integration layer. Define strategy and roadmap for customer-facing APIs and backend orchestration, drive architecture shifts to container orchestration and modular designs, improve SDLC, reliability, observability, and security, and partner with product, SRE, and cross-functional teams to deliver scalable, secure platform services.

Lead and grow a software engineering team to design, build, and operate large-scale distributed cloud services that automate infrastructure maintenance, improve reliability, and support GPU-based AI platforms. Drive technical vision, partner across engineering and operations, modernize platforms, and use data-driven decisions to improve availability, performance, and operational efficiency at global scale.