Lead DevOps Engineer

Accellor; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Competitive compensation

Health insurance

Job summary

Accellor, an AI-native services firm, seeks a senior Infrastructure as Code specialist to architect and manage cloud foundations across AWS, Azure, and GCP.

You will design CI/CD pipelines, enforce security, optimize costs, and implement observability with CloudWatch, Datadog, and Prometheus while collaborating with engineering and architecture teams.

The ideal candidate has 10+ years IT experience and strong Terraform, AWS CDK, or CloudFormation skills.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 10+ years IT experience, with 5+ years in cloud, data engineering, or DevOps.
• Strong expertise in AWS, Azure, or GCP.
• Proficiency in Python, Bash, or Go.
• Hands-on experience with Docker, Kubernetes, and Git/GitOps.
• Familiarity with SQL and data lake/warehouse architectures.

Responsibilities

• Build and manage cloud foundation platforms using Terraform, AWS CDK, or CloudFormation.
• Design, implement, and maintain CI/CD pipelines to automate deployments.
• Configure cloud services (IAM, VPC, EC2, Kubernetes) and optimize resource usage.
• Enforce security best practices, including IAM policies and encryption.
• Develop observability, logging, and alerting with Datadog/Prometheus/CloudWatch.

Skills

Cloud Platforms (AWS/Azure/GCP)

Scripting (Python/Bash/Go)

CI/CD/DevOps

Data/SQL & Data Lakes

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

AWS CDK

CloudFormation

Docker

Kubernetes

Git/GitOps

Datadog

Prometheus

CloudWatch

Job description

Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise.

Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering — we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology.

Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation.

Job Description:

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.

Requirements:

• 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.

Benefits

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