Sr DevOps Engineer

Purpose of Role:

Key Responsibilities:

• Provide necessary operational support to multiple platforms (both on-prem and on AWS)
• Create, maintain, and enhance monitoring, alerting, and debugging capabilities.
• Experience of setting up Monitoring, alerts and reports/dashboards for health/performance using tools such as CloudWatch, New Relic etc
• Automate build and deploy cloud platform solutions using AWS
• Perform technical troubleshooting for all AWS cloud environments.
• Maintaining, supporting, and enhancing CI/CD pipelines across all environments
• Design and implement AI-powered agents to detect deployment failures, recommend remediation, and safely automate deployment rollbacks with appropriate approval controls and auditability.
• Design, implement, and operate blue-green deployment models to enable zero-downtime releases, controlled traffic switching, rapid validation, and reliable rollback.
• Create and enhance AIOps capabilities for monitoring and observability, including anomaly detection, event correlation, alert-noise reduction, predictive insights, and automated incident response.
• Collaborate with Engineering teams to identify Platforms needs and issues.
• Build and maintain highly scalable, large-scale deployments globally.
• Ensure effective communication is maintained with necessary stakeholders.
• 5 years to 8 Years relevant work experience
• Bachelor’s Degree, or equivalent experience in Engineering, Computer Science or Mathematics or related field
• Understand customer issues, troubleshooting and documentation
• Experience with AWS cloud infrastructure (EC2, ECS, EKS, RDS, Lambda, DynamoDB, Elastic Beanstalk etc)
• CI/CD experience with GitHub Actions, Jenkins/Bamboo
• Hands-on experience designing and implementing blue-green deployment strategies in AWS and containerized environments, including traffic switching, validation, and rollback procedures.
• Practical experience building or integrating AI agents into CI/CD workflows for deployment health assessment, failure diagnosis, remediation recommendations, and automated rollback with human-in-the-loop controls.
• Experience creating AIOps solutions for monitoring and observability using telemetry from logs, metrics, traces, and events to support anomaly detection, event correlation, predictive alerting, and automated incident response.
• Understanding of web security and DevSecOps principles
• Knowledge of microservice implementation technologies (both serverless and containers)
• Strong communication and collaboration skills
• Ability to work across global teams and working with different cultures across different time zones
• Extensive experience working with IT security technologies, like firewalls, email security, web filtering, multi-factor authentication, identity and access management, privilege access management and web application security. Understanding SAST, DAST audits
• Solid experience in network architecture, firewalls, VPN, PKI, encryption, common cloud platforms and security controls.
• Working knowledge of applied cryptographic systems; TLS, encryption (at-rest, in-transit), key management
• Experience with Atlassian tools stack – Jira, Confluence, Bitbucket
• Terraform, CloudFormation, Serverless framework, AWS-CDK
• AWS (Lambda, API Gateway, SQS, SNS, DynamoDB, S3, EC2, WAF, IAM, VPC, EKS, ECS, Elastic Beanstalk, Cloudwatch etc)
• Github, Github actions, Jenkins, Docker, Ansible, Shell scripting
• JFrog Artifactory, Sonarcloud
• New Relic, Cloudwatch, ELK stack
• K8S, Helm
• Claude or equivalent enterprise AI tools and platforms (for example, Amazon Bedrock, Azure OpenAI, GitHub Copilot, n8n) for building AI agents, orchestrating automated workflows, integrating generative AI into DevOps processes, and supporting AIOps automation.
• Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply. " At Keyloop, AI is a daily ally: We encourage and train every employee to use our AI tools to boost their creativity and productivity. "

Essentials Skills and Qualifications:

Essentials Technology Stack

Qualifications

• Bachelor’s Degree, or equivalent experience in Engineering, Computer Science or Mathematics or related field
• Experience with AWS cloud infrastructure (EC2, ECS, EKS, RDS, Lambda, DynamoDB, Elastic Beanstalk etc)
• Experience with Atlassian tools stack – Jira, Confluence, Bitbucket