Kubernetes
DockerJob Description:
Infilect is a GenAI company pioneering the use of Image Recognition in Consumer Packaged Goods retail.
We are looking for a Senior DevOps Engineer to be responsible and accountable for the smooth running of our Cloud, AI workflows, and AI-based Computer Systems. Furthermore, the candidate will supervise the implementation and maintenance of the company’s computing needs including the in-house GPU & AI servers along with AI workloads.
Responsibilities
- Understanding and automating AI based deployment an AI based workflows
- Implementing various development, testing, automation tools, and IT infrastructure
- Manage Cloud, computer systems and other IT assets.
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Design, develop, implement, and coordinate systems, policies, and procedures for Cloud and on-premise systems
- Ensure the security of data, network access, and backup systems
- Act in alignment with user needs and system functionality to contribute to organizational policy
- Identify problematic areas, perform RCA and implement strategic solutions in time
- Preserve assets, information security, and control structures
- Handle monthly/annual cloud budget and ensure cost effectiveness
Requirements and skills
- Well versed in automation tools such as Docker, Kubernetes, Puppet, Ansible etc.
- Working Knowledge of Python, SQL database stack or any full-stack with relevant tools.
- Understanding agile development, CI/CD, sprints, code reviews, Git and GitHub/Bitbucket workflows
- Well versed with ELK stack or any other logging, monitoring and analysis tools
- Proven working experience of 2+ years as an DevOps/Tech lead/IT Manager or relevant positions
- Excellent knowledge of technical management, information analysis, and of computer hardware/software systems
- Hands-on experience with computer networks, network administration, and network installation
- Knowledge in ISO/SOC Type II implementation with be a
- BE/B.Tech/ME/M.Tech in Computer Science, IT, Electronics or a similar field
Shubham Vishwakarma
Full Stack Developer - Averlon
About Infilect
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DockerKubernetes
Amazon Web Services (AWS)Greetings!
Wissen Technology is hiring for Kubernetes Lead/Admin.
Required:
- 7+ years of relevant experience in Kubernetes
- Must have hands on experience on Implementation, CI/CD pipeline, EKS architecture, ArgoCD & Statefulset services.
- Good to have exposure on scripting languages
- Should be open to work from Chennai
- Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Bangalore
Website : www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: https://www.linkedin.com/company/wissen-technology
KubernetesJob Responsibilities:
- Managing and maintaining the efficient functioning of containerized applications and systems within an organization
- Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
- Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
- Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
- Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
- Ensure high availability, security, and scalability of infrastructure through automation and best practices
- Establish and enforce cloud security standards, policies, and procedures Work agile technologies
Primary Requirements:
- Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
- Linux/Unix: Proficiency in administering complex Linux infrastructures and services
- Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the
- knowledge of resource provisioning with Terraform or other Cloud-based utilities
- CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to
- manage the build, test, packaging, containerization and release processes of software
- Scripting & Automation: Strong scripting and process automation skills in Bash, Python
- Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
- Version Control: Proficient with Git and familiar with GitOps workflows.
- Security: Strong understanding of security best practices in cloud and containerized
- environments.
Skills/Traits that would be an advantage:
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
DockerKubernetesAmazon Web Services (AWS)Please Apply - https://zrec.in/7EYKe?source=CareerSite
About Us
Infra360 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
Job Title: Senior DevOps Engineer / SRE
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 4-6 years
Education: B.Tech/MCA
Notice Period: Immediately
About Us
At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.
Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.
We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.
Role Summary
We are seeking a Senior DevOps Engineer (SRE) to manage and optimize large-scale, mission-critical production systems. The ideal candidate will have a strong problem-solving mindset, extensive experience in troubleshooting, and expertise in scaling, automating, and enhancing system reliability. This role requires hands-on proficiency in tools like Kubernetes, Terraform, CI/CD, and cloud platforms (AWS, GCP, Azure), along with scripting skills in Python or Go. The candidate will drive observability and monitoring initiatives using tools like Prometheus, Grafana, and APM solutions (Datadog, New Relic, OpenTelemetry).
Strong communication, incident management skills, and a collaborative approach are essential. Experience in team leadership and multi-client engagement is a plus.
Ideal Candidate Profile
- Solid 4-6 years of experience as an SRE and DevOps with a proven track record of handling large-scale production environments
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Strong Hands-on experience with managing Large Scale Production Systems
- Strong Production Troubleshooting Skills and handling high-pressure situations.
- Strong Experience with Databases (PostgreSQL, MongoDB, ElasticSearch, Kafka)
- Worked on making production systems more Scalable, Highly Available and Fault-tolerant
- Hands-on experience with ELK or other logging and observability tools
- Hands-on experience with Prometheus, Grafana & Alertmanager and on-call processes like Pagerduty
- Problem-Solving Mindset
- Strong with skills - K8s, Terraform, Helm, ArgoCD, AWS/GCP/Azure etc
- Good with Python/Go Scripting Automation
- Strong with fundamentals like DNS, Networking, Linux
- Experience with APM tools like - Newrelic, Datadog, OpenTelemetry
- Good experience with Incident Response, Incident Management, Writing detailed RCAs
- Experience with Applications best practices in making apps more reliable and fault-tolerant
- Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
- Able to manage multiple clients and take ownership of client issues.
- Experience with Git and coding best practices
Good to have
- Team-leading Experience
- Multiple Client Handling
- Requirements gathering from clients
- Good Communication
Key Responsibilities
- Design and Development:
- Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
- Collaborate with product and engineering teams to translate business requirements into technical specifications.
- Write clean, maintainable, and efficient code, following best practices and coding standards.
- Cloud Infrastructure:
- Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
- Implement and manage CI/CD pipelines for automated deployment and testing.
- Ensure the security, reliability, and performance of cloud infrastructure.
- Technical Leadership:
- Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
- Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
- Lead technical discussions and contribute to architectural decisions.
- Problem Solving and Troubleshooting:
- Identify, diagnose, and resolve complex software and infrastructure issues.
- Perform root cause analysis for production incidents and implement preventative measures.
- Continuous Improvement:
- Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
- Contribute to the continuous improvement of development processes, tools, and methodologies.
- Drive innovation by experimenting with new technologies and solutions to enhance the platform.
- Collaboration:
- Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
- Communicate effectively with stakeholders, including technical and non-technical team members.
- Client Interaction & Management:
- Will serve as a direct point of contact for multiple clients.
- Able to handle the unique technical needs and challenges of two or more clients concurrently.
- Involve both direct interaction with clients and internal team coordination.
- Production Systems Management:
- Must have extensive experience in managing, monitoring, and debugging production environments.
- Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.
DockerKubernetesAmazon Web Services (AWS)DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
KubernetesDockerAmazon Web Services (AWS)We are looking for an excellent experienced person in the Dev-Ops field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a DevOps Engineer, you will be responsible for managing and building upon the infrastructure that supports our data intelligence platform. You'll also be involved in building tools and establishing processes to empower developers to
deploy and release their code seamlessly.
Responsibilities
The ideal DevOps Engineers possess a solid understanding of system internals and distributed systems.
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable
application
Configuration management tools (Ansible/Chef/Puppet), Cloud
Service Providers (AWS/DigitalOcean), Docker+Kubernetes ecosystem is a plus.
Should be able to make key decisions for our infrastructure,
networking and security.
Manipulation of shell scripts during migration and DB connection.
Monitor Production Server Health of different parameters (CPU Load, Physical Memory, Swap Memory and Setup Monitoring tool to
Monitor Production Servers Health, Nagios
Created Alerts and configured monitoring of specified metrics to
manage their cloud infrastructure efficiently.
Setup/Managing VPC, Subnets; make connection between different zones; blocking suspicious ip/subnet via ACL.
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade
AWS resources (CPU, Memory, EBS)
The candidate would be Responsible for managing microservices at scale maintain the compute and storage infrastructure for various product teams.
Strong Knowledge about Configuration Management Tools like –
Ansible, Chef, Puppet
Extensively worked with Change tracking tools like JIRA and log
Analysis, Maintaining documents of production server error log's
reports.
Experienced in Troubleshooting, Backup, and Recovery
Excellent Knowledge of Cloud Service Providers like – AWS, Digital
Ocean
Good Knowledge about Docker, Kubernetes eco-system.
Proficient understanding of code versioning tools, such as Git
Must have experience working in an automated environment.
Good knowledge of Amazon Web Service Architects like – Amazon EC2, Amazon S3 (Amazon Glacier), Amazon VPC, Amazon Cloud Watch.
Scheduling jobs using crontab, Create SWAP Memory
Proficient Knowledge about Access Management (IAM)
Must have expertise in Maven, Jenkins, Chef, SVN, GitHub, Tomcat, Linux, etc.
Candidate Should have good knowledge about GCP.
EducationalQualifications
B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
EXPERIENCE: 2-6 yr
DockerKubernetesAmazon Web Services (AWS)- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
DockerKubernetesAmazon Web Services (AWS)
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus
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
Amazon Web Services (AWS)- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
KubernetesDockerAmazon Web Services (AWS)We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon