Jenkins
Shubham Vishwakarma
Full Stack Developer - Averlon
About Profectus Analytics Pvt. Ltd.
About
Profectus Solutions is a retail pricing product company that provides business-focused and technology-enabled solutions to retailers to help them solve challenging and high-value problems in the pricing domain and improve business results and exceed their financial goals.
Built for retailers by retail experts, our solutions are designed to not only understand and appreciate the business challenges and nuances of the retail world but also instill a collaborative and work-flow driven approach towards pricing that is enabled by cutting-edge techniques in big data optimization, Machine Learning and Artificial Intelligence.
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Role Purpose: Maintain and enhance the IaC-driven cloud infrastructure, pipelines, and environments post team-exit.
Key Skills:
- Azure DevOps Services (Repos, Pipelines, Artifacts)
- Terraform (advanced) – infrastructure provisioning
- CI/CD pipeline design and automation
- ARM templates, Bicep, or equivalent (if used alongside Terraform)
- Monitoring & Logging – Azure Monitor, Log Analytics
- Security & Compliance – Azure Policies, RBAC, NSGs, etc.
- Networking Basics – VNets, subnets, peering, firewalls
Experience Level:
- 5+ years total experience in cloud infrastructure
- 3+ years hands-on in Azure and Terraform
- Should have delivered or supported production-grade, IaC-managed platforms
Docker
KubernetesJenkinsWho we are
At CoinCROWD, were building the next-gen wallet for real-world crypto utility. Our flagship product, CROWD Wallet, is secure, intuitive, gasless, and designed to bring digital currencies into everyday spending from a coffee shop to cross-border payments.
Were redefining the wallet experience for everyday users, combining the best of Web3 + AI to create a secure, scalable, and delightful platform
Were more than just a blockchain company, were an AI-native, crypto-forward startup. We ship fast, think long, and believe in building agentic, self-healing infrastructure that can scale across geographies and blockchains. If that excites you, lets talk.
What Youll Be Doing :
As the DevOps Lead at CoinCROWD, youll own our infrastructure from end to end, designing, deploying, and scaling secure systems to support blockchain transactions, AI agents, and token operations across global users.
You will :
- Lead the CI/CD, infra automation, observability, and multi-region deployments of CoinCROWD products.
- Manage cloud and container infrastructure using GCP, Docker, Kubernetes, Terraform.
- Deploy and maintain scalable, secure blockchain infrastructure using QuickNode, Alchemy, Web3Auth, and other Web3 APIs.
- Implement infrastructure-level AI agents or scripts for auto-scaling, failure prediction, anomaly detection, and alert management (using LangChain, LLMs, or tools like n8n).
- Ensure 99.99% uptime for wallet systems, APIs, and smart contract layers.
- Build and optimize observability across on-chain/off-chain systems using tools like Prometheus,
Grafana, Sentry, Loki, ELK Stack.
- Create auto-healing, self-monitoring pipelines that reduce human ops time via Agentic AI workflows.
- Collaborate with engineering and security teams on smart contract deployment pipelines, token rollouts, and app store release automation.
Agentic Ops : What it means
- Use GPT-based agents to auto-document infra changes or failure logs.
- Run LangChain agents that triage alerts, perform log analysis, or suggest infra optimizations.
- Build CI/CD workflows that self-update or auto-tune based on system usage.
- Integrate AI to detect abnormal wallet behaviors, fraud attempts, or suspicious traffic spikes
What Were Looking For :
- 5 to 10 years of DevOps/SRE experience, with at least 2 to 3 years in Web3, fintech, or high-scale infra.
- Deep expertise with Docker, Kubernetes, Helm, and cloud providers (GCP preferred).
- Hands-on with Terraform, Ansible, GitHub Actions, Jenkins, or similar IAC and pipeline tools.
- Experience maintaining or scaling blockchain infra (EVM nodes, RPC endpoints, APIs).
- Understanding of smart contract CI/CD, token lifecycle (ICO, vesting, etc.), and wallet integrations.
- Familiarity with AI DevOps tools, or interest in building LLM-enhanced internal tooling.
- Strong grip on security best practices, key management, and secrets infrastructure (Vault, SOPS, AWS KMS).
Bonus Points :
- You've built or run infra for a token launch, DEX, or high-TPS crypto wallet.
- You've deployed or automated a blockchain node network at scale.
- You've used AI/LLMs to write ops scripts, manage logs, or analyze incidents.
- You've worked with systems handling real-money movement with tight uptime and security requirements.
Why Join CoinCROWD :
- Equity-first model: Build real value as we scale.
- Be the architect of infrastructure that supports millions of real-world crypto transactions.
- Build AI-powered ops that scale without a 24/7 pager culture
- Work remotely with passionate people who ship fast and iterate faster.
- Be part of one of the most ambitious crossovers of AI + Web3 in 2025.
Docker
Amazon Web Services (AWS)KubernetesMultiplier enables companies to employ anyone, anywhere in a few clicks. Our
SaaS platform combines the multi-local complexities of hiring & paying employees
anywhere in the world, and automates everything. We are passionate about
creating a world where people can get a job they love, without having to leave the
people they love.
We are an early stage start up with a "Day one" attitude and we are building a
team that will make Multiplier the market leader in this space. Every day is an
exciting one at Multiplier right now because we are figuring out a real problem in
the market and building a first-of-its-kind product around it. We are looking for
smart and talented people who will add on to our collective energy and share the
same excitement in making Multiplier a big deal. We are headquartered in
Singapore, but our team is remote.
What will I be doing? 👩💻👨💻
Owning and managing our cloud infrastructure on AWS.
Working as part of product development from inception to launch, and own
deployment pipelines through to site reliability.
Ensuring a high availability production site with proper alerting, monitoring and
security in place.
Creating an efficient environment for product development teams to build, test
and deploy features quickly by providing multiple environments for testing and
staging.
Use infrastructure as code and the best of methods and tools in DevOps to
innovate and keep improving.
Create an automation culture and add automation to wherever it is needed..
DevOps Engineer Remote) 2
What do I need? 🤓
4 years of industry experience in a similar DevOps role, preferably as part of
a SaaS
product team. You can demonstrate the significant impact your work has had
on the product and/or the team.
Deep knowledge in AWS and the services available. 2 years of experience in
building complex architecture on cloud infrastructure.
Exceptional understanding of containerisation technologies and Docker. Have
had hands on experience with Kubernetes, AWS ECS and AWS EKS.
Experience with Terraform or any other infrastructure as code solutions.
Able to comfortably use at least one high level programming languages such
as Java, Javascript or Python. Hands on experiences of scripting in bash,
groovy and others.
Good understanding of security in web technologies and cloud infrastructure.
Work with and solve problems of very complex nature and enjoy doing it.
Willingness to quickly learn and use new technologies or frameworks.
Clear and responsive communication.
JavascriptWe are looking for an experienced DevOps engineer that will help our team establish DevOps
practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices. This would be a hybrid role and the person would be expected to also do some application-level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and
platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration
management tools with a goal to be able to re-provision environments at any point in
time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based
auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom
workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a
sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming
languages.
- Extensive experience in any Javascript based framework since we will be deploying
services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
Amazon Web Services (AWS)Do Your Thng
DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space.
Role: DevOps
Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
Required Experience
- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
- Experience working with Continuous Integration and Continuous Deployment Pipeline
- Exposure to managing LAMP stack-based applications
- Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
- Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
- Ability to take ownership on the carried-out work
- Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
- Experience deploying Docker based applications
- Experience with AWS services.
- Excellent verbal and written communication skills
Desired Experience
- Exposure to AWS, google cloud and Azure Cloud
- Experience in Jenkins, Ansible, Terraform
- Build Monitoring tools and respond to alarms triggered in production environment
- Willingness to quickly become a member of the team and to do what it takes to get the job done
- Ability to work well in a fast-paced environment and listen and learn from stakeholders
- Demonstrate a strong work ethic and incorporate company values in your everyday work.
KubernetesDockerAzure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
PythonKubernetesAmazon Web Services (AWS)JenkinsEngineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.
Machine Learning (ML)KubernetesPythonDevOps 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
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon