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Engineering Manager - QA, SRE & DevOps

6 - 9 years

20 - 25 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Full Time

Job Description

What You ll Do As a Quality Engineering and SRE/DevOps Manager within the Governance, Compliance, & Insights (GCI) and Threat Reporting & Response (TRR) teams, you ll play a pivotal role in building and supporting our teams in India and driving multiple projects and initiatives. Your responsibilities will include: Manage, develop, and grow a group of Quality Engineers/SDETs and SRE/DevOps Engineers. Foster a strong team identity for QE & SRE/DevOps across multiple scrum squads. Drive initiatives to implement our Automation, CI/CD, and Tools strategies and best practices. Deliver on priorities based on department goals and roadmap. Innovate and champion improvements in QE and CI/CD processes and tools. Collaborate with multiple squads to ensure quality in projects and oversee them through to release by working closely with stakeholders. Lead the integration of AI technologies to enhance team productivity and drive innovative solutions. What You ll Bring Demonstrated leadership and technical expertise to effectively guide high-performing engineering teams. Considerable domain experience in Quality Engineering, DevOps, and Site Reliability Engineering. Solid understanding of CI/CD principles, automation technologies, and associated tools, with a focus on optimizing them for public cloud. Proven experience deploying, scaling, monitoring, and maintaining services within AWS or comparable public cloud environments. Proven ability to strategize and plan testing activities for multiple projects. Familiarity with Web UIs, RESTful APIs, and backend services (both synchronous and asynchronous) and how to validate them. Excellent interpersonal, communication, and collaboration skills that extend your vision, influence, and impact across the organization. A bias for action and problem-solving , demonstrating eagerness to take initiative and make things happen. Strong knowledge and experience in AI technologies , including familiarity with AI-assisted coding tools and frameworks, enabling the team to leverage AI for enhanced productivity and innovative solutions in software development.

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