채용
Project Role :
Quality Engineering Lead
Project Role Description :
Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution.
Must have skills :
AWS Lambda Administration
Good to have skills :
AWS S3 (Simple Storage Service), AWS CloudFormation, AWS DynamoDB
Minimum 3 year(s) of experience is required
Educational Qualification :
15 years full time education
Summary:
As a Quality Engineering Lead, your day involves guiding a team of quality engineers by coordinating multi-disciplinary planning and integrating various ecosystem components to enhance delivery speed and maintain high standards of quality throughout the application lifecycle. You focus on developing comprehensive testing strategies that align with business and functional requirements. Your role includes defining and implementing key performance metrics to monitor testing activities, managing test execution, and overseeing defect resolution to ensure the overall quality objectives are met effectively and efficiently.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Lead efforts to continuously improve testing processes and methodologies within the team.
- Mentor junior team members to foster professional growth and enhance team capabilities.
- Collaborate with cross-functional teams to ensure seamless integration of quality practices across the development lifecycle.
- Drive the adoption of best practices and innovative approaches to quality engineering.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Lambda .
- Must To Have Skills: Experience with AWS DynamoDB, AWS S3 (Simple Storage Service), AWS CloudFormation, API Gateway, Amazon RDS.
- Strong knowledge of cloud-based serverless computing environments and their operational management.
- Experience in designing and implementing automated testing frameworks for cloud applications.
- Ability to analyze and optimize performance and scalability of serverless functions.
- Familiarity with monitoring and logging tools to ensure system reliability and quick issue resolution.
Strong experience with Infrastructure as Code (IaC):
o AWS CloudFormation (CFT)
o AWS CDK
Proficiency in Python for backend development.
Preferred / Nice-to-Have Skills:
Good understanding of CI/CD pipelines (e.g., AWS Code Pipeline, Code Build, Jenkins, GitHub Actions).
Knowledge of RESTful API design, microservices architecture, and backend best practices.
Understanding of AWS security concepts (IAM roles, policies, VPC basics).
Working knowledge or willingness to learn Node.js and TypeScript.
Experience with serverless frameworks.
Knowledge of monitoring and logging using CloudWatch and X-Ray.
Exposure to DevOps practices and automation.
Experience working in Agile / Scrum teams.
AWS certifications (Associate or Professional) are a plus.
Additional Information:
- The candidate should have minimum 3 years of experience in AWS Lambda Administration.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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Accenture 소개

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
직원 수
Dublin
본사 위치
$139B
기업 가치
리뷰
3.6
9개 리뷰
워라밸
2.8
보상
3.5
문화
3.2
커리어
3.8
경영진
3.0
65%
친구에게 추천
장점
Good career growth and learning opportunities
Great culture and work environment
Challenging and interesting work
단점
High levels of politics
Long hours and stress
Slow moving processes
연봉 정보
20개 데이터
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0개 리포트
$63,830
총 연봉
기본급
$25,532
주식
$31,915
보너스
$6,383
$44,681
$82,979
면접 경험
6개 면접
난이도
2.8
/ 5
소요 기간
14-28주
합격률
17%
경험
긍정 0%
보통 67%
부정 33%
면접 과정
1
Application Review
2
Recruiter Screen
3
Cognitive Assessment
4
Technical Interview
5
Behavioral Assessment
6
Final Interview
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
Culture Fit
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