Unknown Company

Engineering Manager (C# | SQL)

boston, ma • Posted 3 days ago
Onsite Full Time General

Engineering Manager (C# | SQL)The Engineering Manager is a highly skilled technical leader responsible for overseeing the design, development, and implementation of software solutions. They will guide a team of developers, ensuring projects are delivered on time, within budget, and to the highest quality standards. The Engineering Manager will also play a key role in mentoring and developing team members, fostering a culture of innovation and collaboration.ResponsibilitiesTechnical Leadership: Architect and design complex software systemsLead the development team in implementing software solutionsEnsure adherence to coding standards and best practicesConduct code reviews and provide constructive feedbackTroubleshoot and resolve technical issuesProject Management: Collaborate with project managers to define project scope and requirementsEstimate project timelines and resource needsTrack project progress and ensure timely deliveryManage risks and identify mitigation strategiesTeam Development: Mentor and coach junior developersFoster a collaborative and supportive team environmentConduct performance evaluations and provide feedbackIdentify training and development opportunities for team membersInnovation: Stay abreast of emerging technologies and industry trendsEvaluate and recommend new technologies for adoptionEncourage experimentation and innovation within the teamQualificationsExperience: 12+ years of experience in software development4+ years of experience in a leadership roleProven track record of delivering successful software projectsSkills: Strong proficiency in C# programming languagesGood knowledge on Java for reportingStrong on SQL - Microsoft azureExpertise in software development methodologies (e.g., Agile, Scrum)Excellent problem-solving and analytical skillsStrong communication and interpersonal skillsAbility to work independently and as part of a teamAdditional Skills (Preferred)Experience with cloud computing platforms (e.g., Azure)Knowledge of DevOps practices and toolsExperience with machine learning or artificial intelligence

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