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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering - **Company:** CONNECTTEL INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Continuous Integration, Data Governance, Data Structures, DevOps, Distributed Systems, Github, Data Intelligence, Machine Learning, Scrum Methodology, Release Management, Software Engineering, Strategies of Testing, Azure Service Bus, Google Cloud, GitHub Copilot, Reliability of Systems, Generative AI, Git, Containerization, Kubernetes, Information Technology, Integration Frameworks, Apache Kafka, Virtual Agents, Cloud Optimization, Docker, Microservices - **Published:** June 13, 2026 - **Apply:** https://www.dice.com/job-detail/8852b57b-ae61-451a-a17c-ef99bd5faeb3 ## About the Role Bachelors or Masters degree in Computer Science or equivalent experience 10+ years of software development experience 3+ years in engineering leadership roles Experience leading teams of 5+ engineers, ideally in a consulting or client-services environment Strong expertise in: Microservices and cloud-native architecture Data structures & algorithms Cloud platforms (Azure preferred; AWS/Google Cloud Platform a plus) Distributed systems Hands-on experience with: Generative AI / AI-enabled development CI/CD tools (Git, GitHub Actions, Azure DevOps) Containerization (Docker, Kubernetes) Messaging and integration platforms (e.g., Kafka, Azure Service Bus) Excellent client-facing communication and presentation skills Core Competencies Client Focus Communication Driving for Results Coaching and Developing Others ## Description Engineering Delivery & Execution Lead end-to-end engineering execution across multiple concurrent client engagements Translate client requirements and discovery outputs into technical designs and deliverables Drive predictable, high-quality delivery against committed scope, timelines, and budgets Ensure adherence to: Code quality standards Testing strategies CI/CD pipelines DevOps practices Conduct system design reviews to ensure scalability, security, and alignment with each client's architecture Client & Business Partnership Partner with clients and business analysts to: Understand client business and operational needs Refine problem statements from discovery into buildable scope Influence and shape technical solutions Provide visibility into: Scope Effort and estimates Trade-offs Resource needs Support prioritization and proposal decisions based on: Client business value and ROI Technical feasibility Delivery timelines and margin AI & Intelligent Automation Build and deliver AI-driven applications and automation solutions for clients Work hands-on with: Generative AI (Azure OpenAI, Anthropic Claude) AI agents and agentic workflows Machine learning components Contribute to solutions for: Operations optimization (warehouse, store, and back-office) Document and data intelligence Employee productivity and workflow automation Champion AI-assisted development practices (e.g., Claude Code, GitHub Copilot) across the engineering team Product Support & Operational Excellence (Build + Run) Ensure delivered systems are production-ready and highly reliable Lead engineering teams in: Managed support of client platforms Incident management within client SLAs Root cause analysis (RCA) Define and track: System reliability metrics Performance benchmarks Delivery KPIs (velocity, cycle time, defect rates) Improve system resilience through: Monitoring and alerting Observability practices Continuous improvement Team Leadership & People Management Lead and grow a team of software engineers and technical leads Drive: Hiring Onboarding Mentorship Performance management Foster a culture of: Accountability and client ownership Innovation Continuous learning Enable teams through: Clear delegation Documentation Tooling and development frameworks Agile & Execution Excellence Champion Agile/Lean methodologies adapted to client engagements Facilitate: Sprint planning Stand-ups Retrospectives Release management Coordinate across engagements through cross-team planning and resource balancing Platform & Cost Optimization Drive efficiency for and its clients through: Automation Tooling improvements Process optimization Lead cost optimization efforts: Cloud cost management (Azure) Infrastructure efficiency Licensing optimization Governance & Compliance Ensure adherence to: Security standards (client-specific) Compliance requirements (e.g., SOC 2, client regulatory frameworks) Data governance and client data-handling practices ## Related Videos - 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