DevOps Engineer
at Product-centric market leader in building loyalty solutions.
Kubernetes
Amazon Web Services (AWS)
Docker
Python2. 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
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
KubernetesDockerJob Details
- Job Title: Lead DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 7-10 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong Lead DevOps / Infrastructure Engineer Profiles.
- Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
- Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
- Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
- Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
- Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
- Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
- (Company) – Must be from B2C Product Companies only.
- (Education) – B.E/ B.Tech
Preferred
- Experience working in microservices architecture and event-driven systems.
- Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- (Environment) – Experience working in high-growth startup or large-scale production environments.
Job Description
As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
- Codify our infrastructure
- Do what it takes to keep the uptime above 99.99%
- Understand the bigger picture and sail through the ambiguities
- Scale technology considering cost and observability and manage end-to-end processes
- Understand DevOps philosophy and evangelize the principles across the organization
- Strong communication and collaboration skills to break down the silos
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
PythonAbout the Role
We are looking for a skilled and dedicated FreeSWITCH Engineer with hands-on experience in VoIP systems. You will play a key role in developing, configuring, and maintaining scalable and reliable FreeSWITCH-based voice infrastructures. This is a onsite role based in Gurugram location.
Key Responsibilities
- Design, deploy, and maintain FreeSWITCH servers and related VoIP infrastructure.
- Troubleshoot and resolve FreeSWITCH and VoIP-related issues.
- Develop custom dial plans, modules, and call routing logic.
- Work with SIP, RTP, and related VoIP protocols.
- Monitor system performance and ensure high availability.
- Collaborate with development, network, and support teams to optimize voice systems.
- Document configurations, workflows, and system changes.
Requirements
- Minimum 3 years of hands-on experience with FreeSWITCH in a production environment.
- Strong understanding of VoIP technologies and SIP protocol.
- Experience with Linux system administration.
- Familiarity with scripting languages (Bash, Python, Lua).
- Ability to work independently in a remote setup.
- Strong problem-solving and analytical skills.
Preferred Skills
- Experience with other VoIP platforms (Asterisk, Kamailio, OpenSIPS).
- Knowledge of WebRTC, RTP engines, or media servers.
- Exposure to monitoring tools (Grafana, Prometheus, Nagios).
- Familiarity with APIs and backend integration.
Why Join Us?
- Collaborative and supportive team environment.
- Opportunity to work on innovative VoIP solutions at scale.
Amazon Web Services (AWS)General Description:Owns all technical aspects of software development for assigned applications
Participates in the design and development of systems & application programs
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **Splunk SaaS** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.Experience with code build and deployment using GitHub actions, and Artifact Registry.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
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)
Amazon Web Services (AWS)Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
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.
KubernetesDockerAmazon Web Services (AWS)Projects you'll be working on:
- We're focused on enhancing our product for our clients and their users, as well as streamlining operations and improving our technical foundation.
- Writing scripts for procurement, configuration and deployment of instances (infrastructure automation) on GCP
- Managing Kubernetes cluster
- Manage product and services like VPC, Elasticsearch, cloud functions, rabbitMQ, redis servers, postgres infrastructure, app engine, etc.
- Supporting developers in setting up infrastructure for services
- Manage and improve microservices infrastructure
- Managing high availability, low latency applications
- Focus on security best practices to ensure assist in security and compliance activities
Requirements
- Minimum 3 years experience as DevOps
- Minimum 1 years' experience with Kubernetes Cluster (Infrastructure as code, maintaining and scalability).
- BASH expertise, node or python professional programming experience
- Experience with setting up, configuring and using Jenkins or any CI tools, building CI/CD pipeline
- Experience setting microservices architecture
- Experience with package management and deployments
- Thorough understanding of networking.
- Understanding of all common services and protocols
- Experience in web server configuration, monitoring, network design and high availability
- Thorough understanding of DNS, VPN, SSL
Technologies you'll work with:
- GKE, Prometheus, Grafana, Stackdriver
- ArgoCD and GitHub Actions
- NodeJS Backend
- Postgres, ElasticSearch, Redis, RabbitMQ
- Whatever else you decide - we're constantly re-evaluating our stack and tools
- Having prior experience with the technologies is a plus, but not mandatory for skilled candidates.
Benefits
- Remote Option - You can work from location of your choice :)
- Reimbursement of Home Office Setup
- Competitive Salary
- Friendly atmosphere
- Flexible paid vacation policy
KubernetesDocker
JenkinsMinimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon