Note: The job is a remote job and is open to candidates in USA. Octave provides mission-critical software that empowers organizations to make informed decisions across the asset lifecycle. The Software Development Manager leads multiple software development teams, overseeing technical delivery, Agile practices, people management, enterprise architecture, software quality, and AI enablement. The role partners with Product, QA, DevOps, architects, and engineering leaders to improve delivery predictability and engineering outcomes.
Responsibilities
- Manage and lead developers, technical leads, and other engineering team members
- Act as the project and delivery manager for assigned software projects and product initiatives
- Lead the planning, execution, monitoring, and control of work assigned to the software development teams
- Ensure teams are enabled, unblocked, and supported to deliver software effectively and predictably
- Drive Agile evolution and continuous improvement across teams, including Scrum practices, delivery cadence, backlog readiness, sprint execution, retrospectives, and cross-team coordination
- Work closely with Product on release planning, backlog prioritization, delivery sequencing, scope alignment, and dependency management
- Coordinate with Product to ensure requirements are clear, refined, estimated, and ready for development
- Manage team capacity, resource allocation, workload balance, and skill utilization
- Efficiently and effectively manage the division's resources, including , human skills, software tools, and information technology
- Receive assignments in the form of objectives and translate them into actionable team plans, priorities, milestones, and deliverables
- Determine and coordinate the assignments of subordinate team members and provide technical and administrative assistance as needed
- Provide technical leadership and guidance for enterprise software development initiatives
- Support high-level design of enterprise system architecture, including scalable, maintainable, secure, and reliable software solutions
- Support software design approaches for multi-tenant systems, microservices, and cloud-hosted enterprise applications
- Act as a sponsor for Quality of Service for assigned software projects, including performance, reliability, scalability, availability, maintainability, and operational readiness
- Work with QA Managers and QA Directors to define, identify, monitor, and address software quality issues, defects, and quality trends
- Review quality metrics and collaborate with QA leadership to improve test coverage, defect prevention, automation, and release readiness
- Monitor team productivity and delivery metrics, such as velocity, throughput, predictability, cycle time, defect trends, escaped defects, and sprint goal achievement
- Identify delivery risks, technical risks, quality risks, and team blockers, and take corrective action where needed
- Frequently interact with other managers to coordinate team assignments, dependencies, shared priorities, and related activities
- Support engineering best practices, including code quality, peer reviews, CI/CD, automated testing, secure development, documentation, and operational support readiness
- Coach, mentor, and develop team members to improve technical capability, accountability, collaboration, and delivery performance
- Promote a culture of ownership, transparency, continuous improvement, engineering excellence, and customer-focused delivery
- Enable developers with AI-assisted tools and practices to improve productivity, software delivery efficiency, code quality, documentation, testing, and engineering workflows
- Promote responsible and effective use of AI tools across development teams, while aligning with company standards, security requirements, and software engineering best practices
- Identify opportunities to use AI to reduce repetitive engineering tasks, improve developer experience, accelerate troubleshooting, support knowledge sharing, and improve delivery outcomes
- Support teams in adopting AI tools that help them become more productive, not limited to building AI-enabled product features
Skills
- * Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
- * Proven experience in software engineering and enterprise software development
- * 7+ years of experience managing software development teams, including direct people management and delivery ownership
- * Experience managing multiple teams, preferably two or more teams in parallel
- * Strong understanding of Agile software delivery, Scrum practices, release planning, sprint planning, backlog refinement, and continuous improvement
- * Experience working with Product Managers and Product Owners to plan releases, manage priorities, and enable delivery
- * Experience managing software delivery metrics, team productivity indicators, quality trends, and delivery performance
- * Strong technical understanding of enterprise application architecture and modern software engineering practices
- * Experience coordinating with QA leadership on quality planning, quality trends, defect management, and release readiness
- * Strong communication, stakeholder management, planning, and problem-solving skills
- * Leadership of multiple Scrum teams
- * Agile delivery leadership and Agile transformation/evolution
- * Software engineering management
- * Enterprise system architecture understanding
- * Resource planning and capacity management
- * Release planning and delivery coordination
- * Stakeholder management across Product, QA, Engineering, and Operations
- * Quality ownership and defect trend analysis
- * Team productivity monitoring and performance improvement
- * Risk, dependency, and blocker management
- * Coaching, mentoring, and people development
- * Strong decision-making and accountability
- * Communication across technical and non-technical audiences
- * Backend: Java Enterprise and Spring Boot
- * Cloud Hosting: AWS
- * Frontend: Angular and/or React
- * Database: MySQL
- * Architecture: Multi-tenant systems, microservices, enterprise system design, and scalable distributed systems
- * Engineering Practices: CI/CD, automated testing, code quality practices, API design, observability, and secure software development
- * AI Enablement: Experience introducing, enabling, or supporting AI-assisted software development tools and practices that improve engineering team productivity
- Familiarity with building AI-enabled product features is a plus
Benefits
- Remote workplace type
- A supportive environment
- Resources to support your ambitions
- Equal opportunities
- An inclusive environment
- Fairness for all
Company Overview
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