THE OPPORTUNITY
A platform to learn and grow in a great working environment with cutting edge technologies. There is vast opportunity to showcase creative thinking which can be translated into a highly optimized tools/utilities.
KEY ACTIVITIES
- Code Integrations ( Compile, Build, Notify )
- Package creation ( Service Packs, Patches, Hotfixes )
- Environment Preparation ( With GOLD SCM technical stack )
- Environment & Infra management
- Package delivery ( Customer specific & Standard )
- Build & Deployment automation
- Tickets management
KEY CRITERIA
Primary Technical Skills
- Shell Scripting
- ORACLE DB Fundamentals
- Infra Monitoring & Diagnostics
- ClearCase / GIT
- DevOps concepts
- Basic Java
Other Required Skills
- Problem Solving
- Logical Reasoning
- Aptitude & Attitude
- Communication (Verbal & Written)
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonReview Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
JenkinsRole: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
Amazon Web Services (AWS)
KubernetesWe seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.
PostgreSQLRole: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
KubernetesPythonWe are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Kubernetes
Docker
.NETOddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.
The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.
Requirements:
- Strong understanding of CI/CD concepts and experience building deployment pipelines
- Strong knowledge of working with a CI/CD automation server like Jenkins
- Experience working with Docker containers and Kubernetes
- Familiarity working with Azure tools and services
- Good working knowledge of .NET Core and C#
- Familiarity with Cloud development concepts
- Experience with API-driven development and developing RESTful APIs
- Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
- Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
- Excellent communication skills
- Excellent problem-solving skills
Minimum qualifications required:
- Bachelor's degree or relevant certification from a reputable institute
- 3-5 years of experience.
DockerAmazon Web Services (AWS)- Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
- Familiarity with Python-related technologies and frameworks like Django or Pyramid.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
- Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Source code management and Implementation of security best practices.
- Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
- Good understanding & implementation experience using 12-factor App principles
- Awareness of Cloud Security concepts
- Awareness of Information Security concepts and Best Practices
Amazon Web Services (AWS)Technical Experience/Knowledge Needed :
- Cloud-hosted services environment.
- Proven ability to work in a Cloud-based environment.
- Ability to manage and maintain Cloud Infrastructure on AWS
- Must have strong experience in technologies such as Dockers, Kubernetes, Functions, etc.
- Knowledge in orchestration tools Ansible
- Experience with ELK Stack
- Strong knowledge in Micro Services, Container-based architecture and the corresponding deployment tools and techniques.
- Hands-on knowledge of implementing multi-staged CI / CD with tools like Jenkins and Git.
- Sound knowledge on tools like Kibana, Kafka, Grafana, Instana and so on.
- Proficient in bash Scripting Languages.
- Must have in-depth knowledge of Clustering, Load Balancing, High Availability and Disaster Recovery, Auto Scaling, etc.
-
AWS Certified Solutions Architect or/and Linux System Administrator
- Strong ability to work independently on complex issues
- Collaborate efficiently with internal experts to resolve customer issues quickly
- No objection to working night shifts as the production support team works on 24*7 basis. Hence, rotational shifts will be assigned to the candidates weekly to get equal opportunity to work in a day and night shifts. But if you get candidates willing to work the night shift on a need basis, discuss with us.
- Early Joining
- Willingness to work in Delhi NCR
Amazon Web Services (AWS)KubernetesPythonWhat you do :
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
-
Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare-metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
-
Data management skills
Education :
- Degree in Computer Engineering or Computer Science
- 1-3 years of equivalent experience in DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
-
Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
-
The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings, etc.
- Work with intelligent, fun and interesting people in a dynamic start-up environment.
KubernetesJenkinsDocker- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon