Sr DevOps Engineer
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Summary
Senior DevOps/DevSecOps engineer on Keyloop's product application team in Hyderabad, supporting and scaling on-prem and AWS platforms. Day to day: CI/CD pipelines, monitoring/observability (CloudWatch, New Relic, ELK), blue-green deployments, and AI-powered agents/AIOps for failure detection, remediation, and automated rollback.
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.
We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?
Purpose of Role:
Keyloop is seeking an experienced DevSecOps Engineer. As part of the product application development team you will be responsible for security, availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning. You will be working with a highly skilled team that is constantly seeking to improve existing application security, infrastructure, deployment automations and processes.
As a DevOps engineer you will be part of Engineering applications team responsible for engineering, enhancing, and transforming our AWS footprint, provide necessary operational support to multiple engineering teams. You will have chance to work on new cloud engineering standards and patterns and creating and supporting new tools and products.
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.
Essentials Skills and Qualifications:
-
- 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
Essentials Technology Stack
- 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."
Skills
- Agentic AI
- AI
- Anomaly Detection
- Ansible
- API
- Artifactory
- Atlassian
- Authentication
- Automation
- AWS
- AWS Bedrock
- Azure
- Bash
- Bitbucket
- CDK
- CI/CD
- Cloud
- CloudFormation
- CloudWatch
- Confluence
- DAST
- DevOps
- DevSecOps
- Docker
- DynamoDB
- EC2
- ECS
- EKS
- ELK
- Emergency Response
- Firewall
- Generative AI
- GitHub
- GitHub Actions
- Github Copilot
- Helm
- IAM
- Jenkins
- Jira
- Kubernetes
- Lambda
- Microservices
- n8n
- New Relic
- Observability
- OpenAI
- PKI
- RDS
- S3
- SAST
- Serverless
- SNS
- SQS
- Terraform
- TLS
- VPC
- VPN
- WAF
As published by lever · 18 questions · 15 written answers
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website, What is your age range?, I identify my ethnicity asSelect all that apply, What gender do you identify as?, Do you consider yourself to have a disability or be differently abled?, Were you previously employed by Armed Forces?
Short answers (1)
- Please confirm type of right to work document
Pick from a list (2)
- Are you currently authorised to work in the country of the job without any restrictions? optional
- Will you now or in future require visa sponsorship to work in country of the job optional
Written answers (15)
- What is your experience with AI Tools like Claude? optional
- A deployment completes successfully, but users start receiving errors. What would you check before initiating a rollback?
- In a blue-green deployment, the green environment is healthy, but some users still reach the blue environment. What could cause this?
- A Terraform plan unexpectedly shows that a production resource will be replaced. What should you do?
- A Kubernetes pod is repeatedly showing CrashLoopBackOff. What would you check first?
- What is the difference between a Kubernetes readiness probe and a liveness probe? Expected answer
- A Lambda function works in development but times out in production after being connected to a VPC. What might be wrong?
- A CI/CD pipeline uses AWS access keys stored as repository secrets. What would be a more secure approach?
- CloudWatch reports normal CPU usage, but New Relic shows increasing response time. What would you investigate?
- An AI agent recommends automatically rolling back a production deployment. What controls should exist before allowing it to act?
- SAST passes, but DAST identifies an authentication vulnerability. How is that possible?
- Your current CTC ?
- Your expected CTC ?
- Notice Period ?
- Since this is a hybrid role, you will be required to work from the Hyderabad office on a regular basis. Are you comfortable with that?