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≈ $22k – $62k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 5+ years exp

First seen by Alion on Oct 23, 2026.

Overview
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Accellor is an AI-first digital transformation and technology services firm headquartered in Frisco, Texas, and founded in 2018. The company develops purpose-built artificial intelligence solutions, including agentic AI for supply chain optimization, AI-assisted software engineering, and intelligent automation for sectors like healthcare and financial services. It operates globally with a focus on scaling AI from proof of concept to enterprise-wide production through strategic partnerships with major technology providers like Salesforce and Microsoft.

Role : Lead DevOps Engineer

Accellor is an AI-native services firm delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global enterprises modernize their architectures, scale operations, and deploy production-grade solutions.

We are looking for a Lead DevOps Engineer to lead cloud infrastructure automation, CI/CD implementation, cloud security, and operational excellence across enterprise environments.

Key Responsibilities :

- Lead the design, implementation, and management of scalable cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, or CloudFormation.

- Design, build, and maintain CI/CD pipelines using Azure DevOps or similar platforms to automate application deployments.

- Manage cloud services across AWS, Microsoft Azure, or GCP, including IAM, networking, compute, and Kubernetes.

- Drive cloud cost optimization, resource utilization, scalability, and operational reliability.

- Establish cloud security standards covering access controls, encryption, least-privilege policies, and compliance monitoring.

- Integrate security and vulnerability scanning for source code, containers, and infrastructure into CI/CD pipelines.

- Implement monitoring, logging, and alerting solutions using tools such as Datadog, Prometheus, and CloudWatch.

- Define cloud governance practices, subscription structures, resource organization, and access management standards.

- Collaborate with architecture, development, data, and security teams to deliver secure and cost-effective solutions.

- Mentor DevOps engineers, establish engineering best practices, and drive continuous improvement in automation and deployment processes.

Required Skills & Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 5+ years of professional IT experience, with at least 5 years focused on cloud, DevOps, or data engineering.

- Strong hands-on expertise in at least one major cloud platform: AWS, Microsoft Azure, or GCP.

- Extensive experience with Terraform, AWS CDK, CloudFormation, or equivalent IaC tools.

- Strong experience designing and managing CI/CD pipelines using Azure DevOps or similar platforms.

- Proficiency in Python, Bash, or Go scripting.

- Hands-on experience with Docker, Kubernetes, Git, and GitOps practices.

- Strong understanding of cloud security, vulnerability management, monitoring, and governance.

- Familiarity with SQL and data lake or data warehouse architectures.

- Proven leadership, troubleshooting, stakeholder management, and team mentoring skills.

Benefits:

- Opportunity to work on enterprise projects across high-tech, communications, media, healthcare, retail, and telecom.

- Collaborative environment with exposure to global teams and innovative technologies.

- Flexible working schedules, work-from-home opportunities, paid time off, and holidays.

- Professional development through training, certifications, and learning programs.

- Competitive compensation, family medical insurance, personal accident insurance, annual performance bonuses, and referral bonuses.

Equal Opportunity Employer:

Accellor provides equal employment opportunities and does not discriminate based on legally protected characteristics.

Skills

DevOps, IAC Terraform, AWS, Cloud Infrastructure, CloudFormation, CI/CD Pipeline, CDK, Python, Bash Scripting, Docker, Kubernetes

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