Docker
Kubernetes
Amazon Web Services (AWS)
Jenkins- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerKubernetesAmazon 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.
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.
DockerKubernetesYou need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.
YOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and
the test results.
What you will do
- As a DevOps Engineer responsible for systems being used by customer across the globe.
- Set the goals for overall system and divide into goals for the sub-system.
- Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.
- Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.
- Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.
- Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.
What you will need
A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.
- BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
- Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.
- Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
- Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
- Ability to identify the bottleneck and come up with solution to optimize it.
- Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimizehardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You?
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks:
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process:
Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable central, state or local laws.
Kubernetes
JavascriptDockerRole – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.
DockerKubernetesAmazon Web Services (AWS)Excellent understanding of SDLC patching, releases and software development at scale.
Excellent knowledge of Git.
Excellent knowledge of Docker.
Good understanding of enterprise standards ond enterprise building principles,
In-depth knowledge in Windows OS
Knowledge of Linux os
Theoretical and practical skills in Web-environments based on .Net technologies, e.g. Ils,
Kestrel, .Net Core, C#.
Strong scripting skills in one or any combination of CMD Shell,Bash, PowerShell. Python.
Good understanding of the mechanisms of Web-environment architectures approaches.
Strong knowledge of cloud providers offering, Azure or AWS.
Good knowledge of a configuration management tools, Ansible, Chef, Salt stack, Puppet.
(Good to have)
Good knowledge of cloud infrastructure orchestration tools like kubemetes or cloud based orchestration.
Good knowledge in one or any combination of cloud infrastructure provisioning tools like
ARM Templates, Terraform, Pulumi.
In-depth knowledge in one or any combination of software delivery orchestration tools like Azure Pipelines, Jenkins Pipelines, Octopus Deploy, etc.
Strong practical knowledge of CI Tools, ie, Azure Devops, Jenkins Excellent knowledge of Continuous Integration and Delivery approaches
Good knowledge on integration of Code Quality tools like SonarQube, Application or Container Security tool like Vera Code, Checksum, Chekov, Trivy.
In-depth knowledge on Azure DevOps Build infrastructure setup, Azure DevOps
Administration and Access management
KubernetesDockerAmazon Web Services (AWS)Why you should join us
- You will join the mission to create positive impact on millions of peoples lives
- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)
- You get to work in an accelerated learning environment
What you will do
- You will provide deep technical expertise to your team in building future ready systems.
- You will help develop a robust roadmap for ensuring operational excellence
- You will setup infrastructure on AWS that will be represented as code
- You will work on several automation projects that provide great developer experience
- You will setup secure, fault tolerant, reliable and performant systems
- You will establish clean and optimised coding standards for your team that are well documented
- You will set up systems in a way that are easy to maintain and provide a great developer experience
- You will actively mentor and participate in knowledge sharing forums
- You will work in an exciting startup environment where you can be ambitious and try new things :)
You should apply if
- You have a strong foundation in Computer Science concepts and programming fundamentals
- You have been working on cloud infrastructure setup, especially on AWS since 8+ years
- You have set up and maintained reliable systems that operate at high scale
- You have experience in hardening and securing cloud infrastructures
- You have a solid understanding of computer networking, network security and CDNs
- Extensive experience in AWS, Kubernetes and optionally Terraform
- Experience in building automation tools for code build and deployment (preferably in JS)
- You understand the hustle of a startup and are good with handling ambiguity
- You are curious, a quick learner and someone who loves to experiment
- You insist on highest standards of quality, maintainability and performance
- You work well in a team to enhance your impact
Docker
PythonResponsibilities
- Building and maintenance of resilient and scalable production infrastructure
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Managing a team of DevOps, control of task deliveries
- Incident analysis and fixing
Technology stack
Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with git
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
Preferred experience
- Experience of working with highload zero-downtown environments
- Experience of coding on Python
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience of working with Solarflare Onload
- Experience administering Atlassian products
Amazon Web Services (AWS)What will you do?
- Setup, manage Applications with automation, DevOps, and CI/CD tools.
- Deploy, Maintain and Monitor Infrastructure and Services.
- Automate code and Infra Deployments.
- Tune, optimize and keep systems up to date.
- Design and implement deployment strategies.
- Setup infrastructure in cloud platforms like AWS, Azure, Google Cloud, IBM cloud, Digital Ocean etc as per requirement.
KubernetesDockerAmazon Web Services (AWS)Jenkins- Solve complex Cloud Infrastructure problems.
- Drive DevOps culture in the organization by working with engineering and product teams.
- Be a trusted technical advisor to developers and help them architect scalable, robust, and highly-available systems.
- Frequently collaborate with developers to help them learn how to run and maintain systems in production.
- Drive a culture of CI/CD. Find bottlenecks in the software delivery pipeline. Fix bottlenecks with developers to help them deliver working software faster. Develop and maintain infrastructure solutions for automation, alerting, monitoring, and agility.
- Evaluate cutting edge technologies and build PoCs, feasibility reports, and implementation strategies.
- Work with engineering teams to identify and remove infrastructure bottlenecks enabling them to move fast. (In simple words you'll be a bridge between tech, operations & product)
Skills required:
Must have:
- Deep understanding of open source DevOps tools.
- Scripting experience in one or more among Python, Shell, Go, etc.
- Strong experience with AWS (EC2, S3, VPC, Security, Lambda, Cloud Formation, SQS, etc)
- Knowledge of distributed system deployment.
- Deployed and Orchestrated applications with Kubernetes.
- Implemented CI/CD for multiple applications.
- Setup monitoring and alert systems for services using ELK stack or similar.
- Knowledge of Ansible, Jenkins, Nginx.
- Worked with Queue based systems.
- Implemented batch jobs and automated recurring tasks.
- Implemented caching infrastructure and policies.
- Implemented central logging.
Good to have:
- Experience dealing with PI information security.
- Experience conducting internal Audits and assisting External Audits.
- Experience implementing solutions on-premise.
- Experience with blockchain.
- Experience with Private Cloud setup.
Required Experience:
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.
- You need to have 2-4 years of DevOps & Automation experience.
- Need to have a deep understanding of AWS.
- Need to be an expert with Git or similar version control systems.
- Deep understanding of at least one open-source distributed systems (Kafka, Redis, etc)
- Ownership attitude is a must.
We offer a suite of memberships and subscriptions to spice up your lifestyle. We believe in practicing an ultimate work life balance and satisfaction. Working hard doesn’t mean clocking in extra hours, it means having a zeal to contribute the best of your talents. Our people culture helps us inculcate measures and benefits which help you feel confident and happy each and every day. Whether you’d like to skill up, go off the grid, attend your favourite events or be an epitome of fitness. We have you covered round and about.
- Health Memberships
- Sports Subscriptions
- Entertainment Subscriptions
- Key Conferences and Event Passes
- Learning Stipend
- Team Lunches and Parties
- Travel Reimbursements
- ESOPs
Thats what we think would bloom up your personal life, as a gesture for helping us with your talents.
Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!
KubernetesAmazon Web Services (AWS)DockerPython2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon