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Shubham Vishwakarma
Full Stack Developer - Averlon
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Docker
Kubernetes
Amazon Web Services (AWS)Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
Amazon Web Services (AWS)KubernetesOn the Job
● Build and maintain scalable cloud infrastructure on AWS
● Improve CI/CD pipelines, deployment systems, and developer workflows
● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)
● Manage and optimize Kubernetes clusters and containerized workloads
● Improve observability across systems through monitoring, logging, and alerting
● Drive reliability initiatives including incident response, root cause analysis, and operational
improvements
● Collaborate with engineering teams to improve service scalability, performance, and security
● Implement IAM, secrets management, and infrastructure security best practices
● Optimize infrastructure costs and improve resource efficiency
● Actively leverage AI tools and workflows to improve engineering productivity and automation
Must Haves
● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles
● Strong hands-on experience with AWS infrastructure and services
● Good understanding of Kubernetes, Docker, and container orchestration
● Experience with Infrastructure-as-Code tools like Terraform or Pulumi
● Strong scripting/coding skills in Python, Go, or Bash
● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,
etc.)
● Understanding of networking fundamentals, Linux systems, and cloud security practices
● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,
etc.
● Strong debugging and problem-solving skills
● Ability to work independently in a fast-moving environment
Good To Haves
● Experience working in fintech or high-scale startup environments
● Exposure to service mesh, zero-trust security, or secrets management systems
● Experience with multi-cluster Kubernetes environments
● Familiarity with incident management, SLOs, and reliability engineering practices
● Experience building internal developer platforms or automation tooling
DockerThe Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.
KubernetesDockerInfra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Our Mission
Our mission is to help customers achieve their business objectives by providing innovative, best-in-class consulting, IT solutions and services and to make it a joy for all stakeholders to work with us. We function as a full stakeholder in business, offering a consulting-led approach with an integrated portfolio of technology-led solutions that encompass the entire Enterprise value chain.
Our Customer-centric Engagement Model defines how we engage with you, offering specialized services and solutions that meet the distinct needs of your business.
Our Culture
Culture forms the core of our foundation and our effort towards creating an engaging workplace has resulted in Infra360 Solution Pvt Ltd.
Our Tech-Stack:
- Azure DevOps, Azure Kubernetes Service, Docker, Active Directory (Microsoft Entra)
- Azure IAM and managed identity, Virtual network, VM Scale Set, App Service, Cosmos
- Azure, MySQL Scripting (PowerShell, Python, Bash),
- Azure Security, Security Documentation, Security Compliance,
- AKS, Blob Storage, Azure functions, Virtual Machines, Azure SQL
- AWS - IAM, EC2, EKS, Lambda, ECS, Route53, Cloud formation, Cloud front, S3
- GCP - GKE, Compute Engine, App Engine, SCC
- Kubernetes, Linux, Docker & Microservices Architecture
- Terraform & Terragrunt
- Jenkins & Argocd
- Ansible, Vault, Vagrant, SaltStack
- CloudFront, Apache, Nginx, Varnish, Akamai
- Mysql, Aurora, Postgres, AWS RedShift, MongoDB
- ElasticSearch, Redis, Aerospike, Memcache, Solr
- ELK, Fluentd, Elastic APM & Prometheus Grafana Stack
- Java (Spring/Hibernate/JPA/REST), Nodejs, Ruby, Rails, Erlang, Python
What does this role hold for you…??
- Infrastructure as a code (IaC)
- CI/CD and configuration management
- Managing Azure Active Directory (Entra)
- Keeping the cost of the infrastructure to the minimum
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environments infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Setting up the right set of security measures
Requirements
Apply if you have…
- A graduation/post-graduation degree in Computer Science and related fields
- 2-4 years of strong DevOps experience in Azure with the Linux environment.
- Strong interest in working in our tech stack
- Excellent communication skills
- Worked with minimal supervision and love to work as a self-starter
- Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
- Experience with version control systems like Git
- Understanding of Azure cloud computing services and cloud computing delivery models (IaaS, PaaS, and SaaS)
- Strong scripting or programming skills for automating tasks (PowerShell/Bash)
- Knowledge and experience with CI/CD tools: Azure DevOps, Jenkins, Gitlab etc.
- Knowledge and experience in IaC at least one (ARM Templates/ Terraform)
- Strong experience with managing the Production Systems day in and day out
- Experience in finding issues in different layers of architecture in a production environment and fixing them
- Experience in automation tools like Ansible/SaltStack and Jenkins
- Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
- Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
- Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
- Experience in logging tools Like ELK/Loki.
- Experience in using Microsoft Azure Cloud services
If you are passionate about infrastructure, and cloud technologies, and want to contribute to innovative projects, we encourage you to apply. Infra360 offers a dynamic work environment and opportunities for professional growth.
Interview Process
Application Screening=>Test/Assessment=>2 Rounds of Tech Interview=>CEO Round=>Final Discussion
KubernetesDockerAmazon Web Services (AWS)- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.
KubernetesDockerAmazon Web Services (AWS)- Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
- Have enough experience on application and infrastructure architectures
- Design and plan cloud solution architecture
- Design for security, network, and compliances
- Analyze and optimize technical and business processes
- Ensure solution and operational reliability
- Manage and provision cloud infrastructure
- Manage IaaS, PaaS, and SaaS solutions
- Design strategies around cloud governance, migration, Cloud operations and DevOps
- Design highly scalable, available, and reliable cloud applications
- Build and test applications
- Deploy applications on cloud
- Integration with cloud services
Certification:
- Architect level certificate of any cloud (AWS, GCP, Azure)
DockerKubernetesAmazon Web Services (AWS)Position Summary
Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.
Job Description
- Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
- Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
- Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
- Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
- Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
- Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
- Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
- Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
- Drive clients meetings & communication during reviews
Requirement:
- Degree in computer science or a similar field.
- At least 2 year of experience in the field of cloud computing.
- Experience with CI/CD systems.
- Strong in Cloud services
- Exposure to AWS/GCP and other cloud-based infrastructure platforms
- Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
- Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
- Proficient in the use and administration of all versions of MS Windows Server
- Experience with Linux and Windows system administration and web server configuration and monitoring
- Solid programming skills in Python, Java, Perl
- Good understanding of software design principles and best practices
- Good knowledge of REST APIs
- Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
- Experience with Docker, Kubernetes, and Helm charts
- Hands on experience in Ansible and Git repositories
- Knowledge in Maven / Gradle
- Azure, AWS, and GCP certifications are preferred.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
KubernetesDocker
Django
FlaskAbout the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
DockerKubernetesAmazon Web Services (AWS)Job description
The role requires you to design development pipelines from the ground up, Creation of Docker Files, design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure 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.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- 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.
Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).
DockerKubernetesRequirements and Qualifications
- Bachelor’s degree in Computer Science Engineering or in a related field
- 4+ years of experience
- Excellent analytical and problem-solving skills
- Strong knowledge of Linux systems and internals
- Programming experience in Python/Shell scripting
- Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
- Experience in containerization (Docker) and container orchestration (Kubernetes)
- Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
- Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
- Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
- Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
- Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
- Good communication & collaboration skills and attention to details
- Participation in rotating on-call duties
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon