Lead DevOps Engineer
Accellor Hyderabad, Telangana, India
IT Services and IT Consulting · 201-500 employees
About the role
The Lead DevOps Engineer will design, build, and maintain scalable cloud-native infrastructure using Infrastructure as Code and automation. They are responsible for managing CI/CD pipelines, optimizing cloud costs, and ensuring robust security and observability across cloud environments.
What they look for
Requirements
Candidates must have a Bachelor's degree in Computer Science or a related field and at least 10 years of professional IT experience. Strong expertise in cloud platforms like AWS, Azure, or GCP, along with proficiency in scripting languages and DevOps tools, is required.
Benefits
Full description
At Accellor, a DevOps Engineer designs, builds, and maintains scalable cloud-native infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (IaC) and automation. They streamline software and data delivery by managing CI/CD pipelines, optimizing cloud costs, and ensuring robust security and observability.
Responsibilities:
· Infrastructure as Code (IaC): Build and manage cloud foundation platforms using tools like Terraform, AWS CDK, or CloudFormation.
· Pipeline Automation: Design, implement, and maintain CI/CD pipelines in Azure DevOps or similar platforms to automate deployments.
· Cloud Operations & Cost Optimization: Configure cloud services (IAM, VPC, EC2, Kubernetes) and optimize resource usage for cost efficiency and scalability.
· Security & Compliance: Enforce security best practices, including IAM policies, least privilege access, data encryption, and compliance monitoring.
· Monitoring & Support: Develop robust observability, logging, and alerting frameworks using tools like Datadog, Prometheus, or CloudWatch.
- Implement security best practices and integrate vulnerability scanning for source code, containers, and infrastructure within CI/CD pipelines.
- Identify, assess, and remediate security vulnerabilities and configuration issues across cloud and application environments.
- Recommend and implement cloud resource organization, subscription structure, access controls, and governance standards.
- Collaborate with development and architecture teams to design secure, scalable, and cost-effective cloud solutions.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 10+ years of professional IT experience, with at least 5 years focused on cloud, data engineering, or DevOps.
- Cloud Platforms: Strong, demonstrable expertise in AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Scripting & Languages: Proficiency in programming languages like Python, Bash, or Go.
- DevOps Tools: Hands-on experience with Docker, Kubernetes, and Git/GitOps practices.
- Database/Data Skills: Familiarity with SQL and data lake/warehouse architectures, as EXL heavily integrates DevOps with AI-driven analytics.
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: -
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
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