Python
GitHub
Jenkins
grafana
Elastic Search
Machine Learning (ML)
Amazon Web Services (AWS)
Docker
KubernetesReview Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Amazon Web Services (AWS)Are you an experienced Infrastructure/DevOps Engineer looking for an exciting remote opportunity to design, automate, and scale modern cloud environments? We’re seeking a skilled engineer with strong expertise in Terraform and DevOps practices to join our growing team. If you’re passionate about automation, cloud infrastructure, and CI/CD pipelines, we’d love to hear from you!
Key Responsibilities:
- Design, implement, and manage cloud infrastructure using Terraform (IaC).
- Build and maintain CI/CD pipelines for seamless application deployment.
- Ensure scalability, reliability, and security of cloud-based systems.
- Collaborate with developers and QA to optimize environments and workflows.
- Automate infrastructure provisioning, monitoring, and scaling.
- Troubleshoot infrastructure and deployment issues quickly and effectively.
- Stay up to date with emerging DevOps tools, practices, and cloud technologies.
Requirements:
- Minimum 5+ years of professional experience in DevOps or Infrastructure Engineering.
- Strong expertise in Terraform and Infrastructure as Code (IaC).
- Hands-on experience with AWS / Azure / GCP (at least one cloud platform).
- Proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, etc.).
- Experience with Docker, Kubernetes, and container orchestration.
- Strong knowledge of Linux systems, networking, and security best practices.
- Familiarity with monitoring & logging tools (Prometheus, Grafana, ELK, etc.).
- Scripting experience (Bash, Python, or similar).
- Excellent problem-solving skills and ability to work in remote teams.
Perks and Benefits:
- Competitive salary with remote work flexibility.
- Opportunity to work with global clients on modern infrastructure.
- Growth and learning opportunities in cutting-edge DevOps practices.
- Collaborative team culture that values automation and innovation.
GitJenkins
DockerKubernetesAmazon Web Services (AWS)5 to 10 years of software development & coding experience
Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have.
Experience troubleshooting AWS policy or permissions related errors during resource deployments \
Programming experience; preferred Python, PowerShell, bash development experience \
Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)
Have configuration management experience (Chef, Puppet, or Ansible)
Worked in a Development Shop or have SDLC hands on Experience
Familiar with how to write software, test plans, automate and release using modern development methods
AWS certified at an appropriate level
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.
KubernetesDockerAmazon Web Services (AWS)Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.
Position Summary-
This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.
Required experience
- 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
- Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Basic understanding of SQL
- Experience working with technologies like S3, Kubernetes experience preferred.
- Databricks/Hadoop/Kafka experience preferred but not required
KubernetesAmazon Web Services (AWS)JOB DETAILS
What You'll Do
Amazon Web Services (AWS)DockerKubernetes- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.
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.
DockerKubernetesAmazon Web Services (AWS)- Experience working in advanced iterative methodologies such as Agile and Safe.
- Experience with containers and orchestration (Docker, Kubernetes).
- Comfortable working in complex and demanding environments with high degree of change.
- Ability to view system perspective and to perform thorough investigations.
- Experience in frequent delivery to production.
- Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
- Experience with modern software components (Mongo, Elasticsearch, Kafka).
- Expertise in software development methodologies.
- Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
- Possession of a deep knowledge of development workflows with Git.
- Experience with MySQL or another relational database Environment.
- Automation testing (component, integration and end2end)
Java- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Migration, Upgrade, Monitor, and Maintenance of ADS Instance
- Automation using REST API to build Extensions and Custom Reporting
- Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"
- CICD Orchestration tools and other SCM/VC tools
- Microsoft MCSD Application Lifecycle Management certified
- A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
- Good communication skills
- Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
- Visual Studio and the .NET Framework experience is required "
- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Work with the user community to adopt new features, enable new use cases, and help resolve any issues
- Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
- Take the lead in the validation of the application.
- Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
- Manage patches and updates for tooling solutions and related hosting environments including the operating system
- Automate the process for Maintenance"
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon