


We are seeking a skilled and detail-oriented SRE Release Engineer to lead and streamline the CI/CD pipeline for our C and Python codebase. You will be responsible for coordinating, automating, and validating biweekly production releases, ensuring operational stability, high deployment velocity, and system reliability.
Requirements
● Bachelor’s degree in Computer Science, Engineering, or related field.
● 3+ years in SRE, DevOps, or release engineering roles.
● Proficiency in CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab).
● Experience automating deployments for C and Python applications.
● Strong understanding of Git version control, merge/rebase strategies, tagging, and submodules (if used).
● Familiarity with containerization (Docker) and deployment orchestration (e.g.,
Kubernetes, Ansible, or Terraform).
● Solid scripting experience (Python, Bash, or similar).
● Understanding of observability, monitoring, and incident response tooling (e.g.,Prometheus, Grafana, ELK, Sentry).
Preferred Skills
● Experience with release coordination in data networking environments
● Familiarity with build tools like Make, CMake, or Bazel.
● Exposure to artifact management systems (e.g., Artifactory, Nexus).
● Experience deploying to Linux production systems with service uptime guarantees.
Responsibilities
● Own the release process: Plan, coordinate, and execute biweekly software releases across multiple services.
● Automate release pipelines: Build and maintain CI/CD workflows using tools such as GitHub Actions, Jenkins, or GitLab CI.
● Version control: Manage and enforce Git best practices, branching strategies (e.g., Git Flow), tagging, and release versioning.
● Integrate testing frameworks: Ensure automated test coverage (unit, integration,regression) is enforced pre-release.
● Release validation: Develop pre-release verification tools/scripts to validate build integrity and backward compatibility.
● Deployment strategy: Implement and refine blue/green, rolling, or canary deployments in staging and production environments.
● Incident readiness: Partner with SREs to ensure rollback strategies, monitoring, and alerting are release-aware.
● Collaboration: Work closely with developers, QA, and product teams to align on release timelines and feature readiness.
Success Metrics
● Achieve >95% release success rate with minimal hotfix rollbacks.
● Reduce mean release deployment time by 30% within 6 months.
● Maintain a weekly release readiness report with zero critical blockers.
● Enable full traceability of builds from commit to deployment.
Benefits
Enjoy a great environment, great people, and a great package
- Stock Appreciation Rights - Generous pre series-B stock options
- Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements
- Health Insurance - Premium health insurance for employee, spouse and children
- Working Hours - Flexible working hours with sole focus on enabling a great work environment
- Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills
- Make a Difference - We're here because we want to make an impact on the world - we hope you do too!
Why Join RtBrick
Enjoy the excitement of a start-up without the risk!
We're revolutionizing the Internet's backbone by using cutting-edge software development techniques. The internet and, more specifically, broadband networks are among the most world's most critical technologies, that billions of people rely on every day. Rtbrick is revolutionizing the way these networks are constructed, moving away from traditional monolithic routing systems to a more agile, disaggregated infrastructure and distributed edge network functions. This shift mirrors transformations seen in computing and cloud technologies, marking the most profound change in networking since the inception of IP technology.
We're pioneering a cloud-native approach, harnessing the power of container-based software, microservices, a devops philosophy, and warehouse scale tools to drive innovation.
And although RtBrick is a young innovative company, RtBrick stands on solid financial ground: we are already cash-flow positive, backed by major telco investors like Swisscom Ventures and T-Capital, and our solutions are actively deployed by Tier-1 telcos including Deutsche Telekom (Europe's largest carrier), Regional ISPs and City ISPs—with expanding operations across Europe, North America and Asia.
Joining RtBrick offers you the unique thrill of a startup environment, coupled with the security that comes from working in a business with substantial market presence and significant revenue streams.
We'd love you to come and join us so why don't you embrace the opportunity to be part of a team that's not just participating in the market but actively shaping the future of telecommunications worldwide.

About Rtbrick
About
We build network solutions for the emerging Next Generation Central Office (NGCO) market.
We have re-applied design patterns from the hyper-scale world to Service Provider and cloud networks in order to faster implement new features into operational networks.
Our parallel modular architecture allows customers programmability, performance and scale to alter CAPEX and OPEX.
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Position: DevOps Engineer / Senior DevOps Engineer
Experience: 3 to 6 Years
Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline
Job Description:
- AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
- Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
- API Management: Design and manage secure, scalable APIs using AWS API Gateway.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
- Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
- Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
- Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
- Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
- Cost Management: Monitor and optimize AWS usage and costs.
- Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
- Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
- Analytical/logical reasoning
- GitHub Actions
- Should have good working experience with GitHub Actions
- Repository/Workflow Dispatch, writing reusable workflows, etc
- AZ CLI commands
- Hands-on experience with AZ CLI commands
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
What you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
About the Role
- Own the end-to-end infrastructure of Sibros Cloud
- Define and introduce security best practices, identify gaps in infrastructure and come up with solutions
- Design and implement tools and software to manage Sibros’ infrastructure
- Stay hands-on, write and review code and documentation, debug and root cause issues in production environment
Minimum Qualifications
- Experience in Infrastructure as Code (IaC) to manage multi-cloud environments using cloud agnostic tools like Terraform or Ansible
- Passionate about security and have good understanding of industry best practices
- Experience in programming languages like Python, Golang, and enjoying automating everything using code
- Good skills and intuition on root cause issues in production environment
Preferred Qualifications
- Experience in database and network management
- Experience in defining security policies and best practices
- Experience in managing a large scale multi cloud environment
- Knowledge of SOC, GDPR or ISO 27001 security compliance standards is a plus
Equal Employment Opportunity
Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.
BENEFITS: -
Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

