Lead DevOps Engineer

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