Responsibilities include but are not limited to:

People Leadership

• Lead and develop engineering teams, providing regular coaching, feedback, and performance management while fostering a culture of accountabilityand innovation.

• Developseniorengineers,technical owners, and emerging leaders, increasing the leadership capacity within the organization.

• Empower senior engineers and technical ownersto take ownership of initiatives, rapidly prototype andvalidatesolutions, make sound technical decisions, and drive work from discovery through implementation.

• Hire, onboard,retain,anddevelopstrong engineering talent whileidentifyingcapability 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.

Execution and Delivery

• Own execution and deliveryacross 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 operatingrhythms, including planning, backlog readiness, delivery tracking, and blocker resolution, while developing leaders within teams who can increasingly drive day-to-day execution.

• Identifyand resolve cross-team dependencies and systemicdelivery 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 toidentifytrends, improve execution, and inform decisions.

• Communicate progress, risks, challenges, resource needs, and delivery outcomes clearly and proactively to Engineering leadership and other stakeholders.

Technical Leadership

• Providestrongtechnical leadership and judgmentacross teams,ensuring engineering decisions align witharchitectural direction, quality expectations,reliability standards,andbroader technical strategy.

• Partner closely with senior and principal-level engineers to evaluate technical approaches, challenge assumptions, and ensureappropriate ownershipof architecture and technical decision-making.

• Stay technically credible bymaintainingenough hands-on technical engagement to effectively guide the teamand make informedtechnical decisions.

• Identifyrecurring technical challenges across teams and help drive broader improvements to engineering practices, architecture, tooling, and ways of working.

Operational Ownership

• Ensure effective operational ownership across assigned teams, including sustainable on-call practices,appropriatestaffing, 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.

• Driveoperational excellenceacross teams throughleading effective postmortems and ensuringmeaningful action items are trackedthrough closure.

• Identifyrecurring operational patterns andpartneracross Engineering to address root causes and improve reliability at an organizational level.

Discovery & AI-Assisted Development

• Partner closely with Product and cross-functional stakeholders to ensure teams have clear problem statements, business context, priorities, and success criteria while preservingappropriate engineeringownership of solution design and implementation.

• Championeffective use of AI-assisted development practices,helping teamsleverageAI appropriately for solution exploration, technical planning, ticket creation, development, and other workflows whilemaintainingengineering quality and accountability.

• Helpestablisheffective Product and Engineering working practices across teams, resolving areas of unclear ownership or ineffective handoffs.

• Enableengineers toparticipateearlier in discovery, clarify problem statements, contribute to requirements, develop technical solutions, and translate those solutions into well-defined technical work.

• Identifyopportunitiesto use AI, automation, and improved engineering practices to increase developer productivity and organizational effectiveness.

Must Haves:

• 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 managementand/or people managementexperience withdemonstratedsuccess 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, riskidentification, 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 engineersparticipateactively 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 communicationand 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 toprovidetechnical guidance across backend services and microservices development.

• Experience leveraging or leading teams thatleverageAI-assisted software development tools and workflows.

• Recent hands-on coding experience ispreferred.

• Kubernetesexperience 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 inComputerScience, Engineering, or a related field, or equivalent practical experience.

US Only: The typical base pay range for this role across the US is $190,000-$225,000 per year. The actual range may vary depending on specific locations.

Data Access & Compliance: This role may access, process, or support systems containing confidential customer data, including PII, PHI/ePHI, and other regulated or sensitive information. The employee must comply with CData’s Information Classification and Management Policy, HIPAA-related safeguards where applicable, access-control requirements, data-handling procedures, and incident-reporting obligations.

• As part of our comprehensive benefits offerings, we provide Medical, Dental, and Vision plans with company-paid insurance premiums
• HealthSavingAccountoffering with company contributionto help mitigate increasing health costs
• FlexibleSavingsAccountand Dependent Care FSA
• Generous20-dayPTO and11paid 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 opportunitiesthat match your career goals

Originally posted on Himalayas