[Remote] Senior Engineering Manager

Note: The job is a remote job and is open to candidates in USA. CData Software develops data connectivity and AI-powered data solutions for enterprise customers. The Senior Engineering Manager will lead engineering teams building AI-powered data connectivity solutions, owning execution and delivery, technical direction, operational excellence, and people development while partnering with Product and Engineering leadership.

Responsibilities

• Lead and develop engineering teams, providing regular coaching, feedback, and performance management while fostering a culture of accountability and innovation
• Develop senior engineers, technical owners, and emerging leaders, increasing the leadership capacity within the organization
• Empower senior engineers and technical owners to take ownership of initiatives, rapidly prototype and validate solutions, make sound technical decisions, and drive work from discovery through implementation
• Hire, onboard, retain, and develop strong engineering talent while identifying capability gaps and partnering with Engineering leadership on organizational and workforce needs
• Partner with Engineering leadership on team structure, capacity planning, resource allocation, and talent development across the organization
• Own execution and delivery across assigned engineering teams or a broader engineering area, ensuring priorities, ownership, dependencies, risks, and commitments are clearly understood and actively managed
• Continuously improve operating practices that enable predictable delivery, appropriate accountability, and visibility across teams without creating unnecessary process overhead
• Ensure effective team-level operating rhythms, including planning, backlog readiness, delivery tracking, and blocker resolution, while developing leaders within teams who can increasingly drive day-to-day execution
• Identify and resolve cross-team dependencies and systemic delivery issues, partnering with other Engineering leaders and Product leaders when challenges extend beyond the immediate team
• Use streamlined workflows, automated reporting, and meaningful engineering and delivery metrics to identify trends, improve execution, and inform decisions
• Communicate progress, risks, challenges, resource needs, and delivery outcomes clearly and proactively to Engineering leadership and other stakeholders
• Provide strong technical leadership and judgment across teams, ensuring engineering decisions align with architectural direction, quality expectations, reliability standards, and broader technical strategy
• Partner closely with senior and principal-level engineers to evaluate technical approaches, challenge assumptions, and ensure appropriate ownership of architecture and technical decision-making
• Stay technically credible by maintaining enough hands-on technical engagement to effectively guide the team and make informed technical decisions
• Identify recurring technical challenges across teams and help drive broader improvements to engineering practices, architecture, tooling, and ways of working
• Ensure effective operational ownership across assigned teams, including sustainable on-call practices, appropriate staffing, and clear accountability for production systems
• Ensure teams establish and effectively use SLOs, error budgets, and other reliability measures and take action when trends move in the wrong direction
• Provide leadership during major incidents, ensuring effective coordination, decision-making, escalation, and stakeholder communication through resolution
• Drive operational excellence across teams through leading effective postmortems and ensuring meaningful action items are tracked through closure
• Identify recurring operational patterns and partner across Engineering to address root causes and improve reliability at an organizational level
• Partner closely with Product and cross-functional stakeholders to ensure teams have clear problem statements, business context, priorities, and success criteria while preserving appropriate engineering ownership of solution design and implementation
• Champion effective use of AI-assisted development practices, helping teams leverage AI appropriately for solution exploration, technical planning, ticket creation, development, and other workflows while maintaining engineering quality and accountability
• Help establish effective Product and Engineering working practices across teams, resolving areas of unclear ownership or ineffective handoffs
• Enable engineers to participate earlier in discovery, clarify problem statements, contribute to requirements, develop technical solutions, and translate those solutions into well-defined technical work
• Identify opportunities to use AI, automation, and improved engineering practices to increase developer productivity and organizational effectiveness

Skills

• Applicants must be US-based and legally authorized to work in the United States without the need for employer sponsorship, now or in the future
• 8+ years of software engineering experience, including hands-on experience in enterprise or SaaS environments with a strong focus on technical competency and innovation
• 4+ years of engineering management and/or people management experience with demonstrated success leading, coaching, and developing engineering teams
• Experience leading multiple engineering teams or initiatives spanning multiple engineering teams and stakeholders
• Proven ownership of team execution and delivery, including planning, prioritization, dependency management, risk identification, and continuous improvement of development workflows
• Experience partnering with senior Engineering and Product leadership on organizational priorities, resource needs, technical tradeoffs, and execution strategy
• Experience owning production services, including on-call, SLOs, incident response, and postmortems
• Experience working in highly collaborative Product and Engineering environments where engineers participate actively in discovery, requirements definition, technical solutioning, and delivery
• Strong technical judgment with the ability to guide design decisions, challenge assumptions, and empower senior and lead engineers to own technical initiatives
• Strong communication and stakeholder management skills, with the ability to create clarity across engineering, product, and other cross-functional teams
• Experience with cloud platform management and architecture, preferably Azure, supporting scalable, high-performance systems and cloud-native deployments
• Strong Java/Kotlin development experience, with the ability to provide technical guidance across backend services and microservices development
• Experience leveraging or leading teams that leverage AI-assisted software development tools and workflows
• Kubernetes experience and familiarity with container orchestration and deployment is a plus
• React framework experience is a plus
• Experience designing and implementing microservice architectures supporting distributed systems and system reliability is a plus
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Remote, U.S. / North Carolina Research Triangle or East Coast (preferred)
• Recent hands-on coding experience is preferred

Benefits

• Medical, Dental, and Vision plans with company-paid insurance premiums
• Health Saving Account offering with company contribution to help mitigate increasing health costs
• Flexible Savings Account and Dependent Care FSA
• Generous 20-day PTO and 11 paid holidays
• 401k with 100% company match up to 6% of contribution
• A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation
• Work closely with your manager to define professional development and learning opportunities that match your career goals

Company Overview