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Senior (QA) Automation Engineer

DigitalOcean LLC

Karachi Division

On-site

PKR 22,586,000 - 28,233,000

Full time

Today
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Job summary

A leading cloud technology firm is seeking a Test Automation Lead to design and implement a robust testing framework. You will collaborate with cross-functional teams and mentor junior engineers while focusing on cloud-native services. Ideal candidates should have over 7 years of experience in Software Quality Assurance, particularly in cloud testing. This is an onsite role based in Karachi, Pakistan.

Benefits

Career development programs
Flexible time off
Competitive salary and bonus options

Qualifications

  • 7+ years of experience in Software Quality Assurance and Testing.
  • 3+ years in a dedicated Test Automation Lead or Architect role.
  • Proven experience testing solutions on major cloud platforms.

Responsibilities

  • Own the architecture and design of automation frameworks.
  • Drive integration of automated tests into CI/CD pipelines.
  • Mentor a team of QA and SDET engineers.

Skills

Software Quality Assurance
Cloud Testing
Automation Frameworks
API Automation
Agile/Scrum Methodologies

Tools

Jenkins
Docker
Kubernetes
Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

Key Responsibilities
  • Strategy & Architecture
    • Design and Implement: Own the architecture, design, and implementation of a robust, scalable, and maintainable automation framework
    • CI/CD Integration: Drive the full integration of automated tests (UI, API, Unit, Integration) into the Continuous Integration/Continuous Delivery (CI/CD) pipelines (e.g., Jenkins) to enable 'Shift-Left' testing.
    • Cloud Testing Focus: Define specific strategies for testing cloud-native services, including containerization (Docker/Kubernetes), and serverless functions.
    • Tool Evaluation: Research, evaluate, and recommend new testing tools, technologies, and AI/ML solutions to enhance test coverage and efficiency, particularly in a cloud context.
  • Technical Leadership & Execution
    • Hands-on Development: Serve as a hands-on coding expert, developing complex automated test scripts for APIs, microservices, and user interfaces using industry-standard languages
    • Defect Management: Oversee the defect lifecycle, ensuring timely root cause analysis, and implementing preventative measures within the automation suite.
  • Team & Collaboration
    • Mentorship: Lead, mentor, and coach a team of QA and SDET engineers on automation best practices, framework usage, and cloud testing methodologies.
    • Cross-Functional Alignment: Collaborate closely with Product Owners, Cloud Architects, and DevOps teams to understand technical requirements, define acceptance criteria, and ensure testing aligns with the overall cloud roadmap.
    • Reporting: Establish and monitor key quality metrics (KPIs), providing clear, actionable reports on test coverage, release readiness, and overall system quality to leadership.
Required Qualifications
  • Experience: 7+ years of experience in Software Quality Assurance and Testing, with 3+ years in a dedicated Test Automation Lead or Architect role.
  • Cloud Expertise: Proven experience testing and automating solutions hosted on major cloud platforms (AWS, Azure, or GCP), including familiarity with IaaS, PaaS, and related services (e.g., EC2/VMs, S3/Storage, Kubernetes).
  • Framework Proficiency: Expert-level knowledge of designing and implementing test automation frameworks from scratch using common tools
  • Testing Types: In-depth experience with API automation and integrating tests into Git-based source control and CI tools.
  • Methodology: Strong understanding of Agile/Scrum development methodologies.

*This is an Onsite role

#LI-Onsite

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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