Kubernetes
Docker
Amazon Web Services (AWS)
PythonWhat the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
Shubham Vishwakarma
Full Stack Developer - Averlon
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Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
JenkinsRole: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
Amazon Web Services (AWS)Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
DockerKubernetesAmazon Web Services (AWS)Please Apply - https://zrec.in/sEzbp?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: DevOps Engineer Azure
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 2-4 years
Education: B.Tech/MCA/BCA
Notice Period: Immediately
Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- CI/CD and configuration management
- 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 environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
- CI/CD and configuration management
- 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 environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
Ideal Candidate Profile:
- A graduation/post-graduation degree in Computer Science and related fields
- 2-4 years of strong DevOps experience 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
- Strong experience of Amazon Web Services (EC2, RDS, VPC, S3, Route53, IAM etc.)
- Strong experience with managing the Production Systems day in and day out
- Experience in finding issues in different layers of architecture in production environment and fixing them
- Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
- Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
- 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 with managing/mentoring small team of 2-3 people (desirable)
- Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
- Experience in logging tools Like ELK/Lo
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
Python
DjangoWe will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:
- Developing APIs and endpoints for deployments of our product
- Infrastructure Development such as building databases, creating and maintaining automated jobs
- Build out the back-end to deploy and scale our product
- Build POCs for client deployments
- Document your code, write test cases, etc.
JenkinsNumerator is a data and technology company reinventing market research. Headquartered in Chicago, IL, Numerator has 1,600 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
Job Description
What We Do and How?
We are a market research company, revolutionizing how it's done! We mix fast paced development and unique approaches to bring best practices and strategy to our technology. Our tech stack is deep, leveraging several languages and frameworks including Python, C#, Java, Kotlin, React, Angular, and Django among others. Our engineering hurdles sit at the intersection of technologies ranging from mobile, computer vision and crowdsourcing, to machine learning and big data analytics.
Our Team
From San Francisco to Chicago to Ottawa, our R&D team is comprised of talented individuals spanning across a robust tech stack. The R&D team is comprised of product, data analytics, engineers across Front End, Back End, DevOps, Business Intelligence, ETL, Data Science, Mobile Apps, and much more. Across these different groups we work towards one common goal: To build products into efficient and seamless user experiences that help our clients succeed.
Numerator is looking for a Infrastructure Engineer to join our growing team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms that handles millions of requests and massive amounts of data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling SaaS environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Some of the technologies we frequently use include: Terraform, Ansible, SumoLogic, Kubernetes, and many AWS-native services.
• Develop and test the cloud infrastructure to scale a rapidly growing ecosystem.
• Monitor and improve DevOps tools and processes, automate mundane tasks, and improve system reliability.
• Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments.
• Train teams to improve self-healing and self-service cloud-based ecosystems in an evolving AWS infrastructure.
• Build internal tools to demonstrate performance and operational efficiency.
• Develop comprehensive monitoring solutions to provide full visibility to the different platform components using tools and services like Kubernetes, Sumologic, Prometheus, Grafana.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network, and application.
• Work cross-functionally with various teams to improve Numerator’s infrastructure through automation.
• Work with other teams to assist with issue resolutions related to application configuration, deployment, or debugging.
• Lead by example and evangelize DevOps best practice within other engineering teams at Numerator.
Skills & Requirements
What you bring
• A minimum of 3 years of work experience in backend software, DevOps, or a related field.
• A passion for software engineering, automation and operations and are excited about reliability, availability and performance.
• Availability to participate in after-hours on-call support with your fellow engineers.
• Strong analytical and problem-solving mindset combined with experience troubleshooting large scale systems.
• Fundamental knowledge in networking; operating systems; package build system (IP subnets and routing, ACL’s, Core Ubuntu, PIP and NPM).
• Experience with automation technologies to build, deploy and integrate both infrastructure and applications (e.g., Terraform, Ansible).
• Experience using scripting languages like Python and *nix tools (Bash, sed/awk, Make).
• You enjoy developing and managing real-time distributed platforms and services that scale billions of requests.
• Have the ability to manage multiple systems across stratified environments.
• A deep enthusiasm for the Cloud and DevOps and keen to get other people involved.
• Experience with scaling and operationalizing distributed data stores, file systems and services.
• Running services in AWS or other cloud platforms, strong experience with Linux systems.
• Experience in modern software paradigms including cloud applications and serverless architectures.
• You look ahead to identify opportunities and foster a culture of innovation.
• BS, MS or Ph.D. in Computer Science or a related field, or equivalent work experience.
Nice to haves
• Previous experience working with a geographically distributed software engineering team.
• Experience working with Jenkins or Circle-CI
• Experience with storage optimizations and management
• Solid understanding of building scalable, highly performant systems and services
• Expertise with big data, analytics, machine learning, and personalization.
• Start-up or CPG industry experience
If this sounds like something you would like to be part of, we’d love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.
Disclaimer: We do not charge any fee for employment and the same applies to the Recruitment Partners who we work with. Numerator is an equal opportunity employer. Employment decisions are based on merit. Additionally, we do not ask for any refundable security deposit to be paid in bank accounts for employment purposes. We request candidates to be cautious of misleading communications and not pay any fee/ deposit to individuals/ agencies/ employment portals on the pretext of attending Numerator interview process or seeking employment with us. These would be fraudulent in nature. Anyone dealing with such individuals/agencies/
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Docker- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
Amazon Web Services (AWS)2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.
Amazon Web Services (AWS)- Strong Understanding of Linux administration
- Good understanding of using Python or Shell scripting (Automation mindset is key in this role)
- Hands on experience with Implementation of CI/CD Processes
Experience working with one of these cloud platforms (AWS, Azure or Google Cloud) - Experience working with configuration management tools such as Ansible, Chef
Experience in Source Control Management including SVN, Bitbucket and GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus
Troubleshoot and triage development and Production issues - Understanding of micro-services is a plus
Roles & Responsibilities
- Implementation and troubleshooting on Linux technologies related to OS, Virtualization, server and storage, backup, scripting / automation, Performance fine tuning
- LAMP stack skills
- Monitoring tools deployment / management (Nagios, New Relic, Zabbix, etc)
- Infra provisioning using Infra as code mindset
- CI/CD automation
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon