DevSecOps & Site Reliability Architect - AWS/Azure
Amazon Web Services (AWS)- You will manage all elements of the post-sale program relationship with your customers, starting with customer on-boarding and continuing throughout the customer relationship.
- As the primary customer interface, you engage with customer teams to educate, identify needs, develop designs, set goals, manage and execute on plans that unlock continuous, incremental value from their investments in the CloudPassage Halo platform.
- You are hands-on during execution and thoroughly enjoy seeing your security projects come to life and supporting them afterwards. You are a trusted adviser.
Responsibilities :
- Manage a portfolio of 5+ Enterprise customer accounts with complex needs (typical enterprise customers invest between $500k and $4m+ per year with CloudPassage, have hundreds to tens of thousands of individual public cloud infrastructure deployments, and protect hundreds of thousands of cloud infrastructure assets with Halo).
- Provide level-3 technical support on your customer's most complex issues
- Lead implementation of low-level security controls in Cloud environments, for services, server and containers
- Remotely diagnose & resolve DevSecOps issues in customer environments - able to resolve their DevOps issues that may be interfering with CloudPassage processing.
- Interact with CloudPassage Engineering team by providing customer issue reproduction and data capture, technical diagnostics and validating fixes. QA experience preferred.
- Establish and program manage proactive, value-driven, high-touch relationships with your customers to understand, document and align customer strategies, business objectives, designs, processes and projects with Halo platform capabilities and broader CloudPassage services.
- Develop a trusted advisor relationship by building and maintaining appropriate relationships at all levels with your customer accounts, creating a premium and high-caliber experience.
- Ensure continued satisfaction, identify & confirm unaddressed customer needs that can be value-add opportunities for up-sell and cross-sell, and communicate those needs to the CloudPassage sales team. Identify any early CSAT issues and renewal risks and work with the internal team to remediate and ensure strong CSAT and a successful renewal.
- Be a strong customer advocate within CloudPassage and identify and support areas for improvement in the customer experience, both in our product and processes.
- Be team-oriented, but with a bias towards action to get things done for your customers.
Requirements : Strong cloud security knowledge & experience including :
- End-to-end enterprise security processes
- Cloud security - cloud migrations & shift in security requirements, tooling & approach
- Hands-on DevOps, DevSecOps architecture & automation (critical)
- 4+ years experience in security consulting and project/program management serving cybersecurity customers.
- Complex, level 3 technical support
- Remotely diagnosing & resolving DevSecOps issues in customer environments
- Interacting with CloudPassage Engineering team with customer issue reproduction
- Experience working in a security SaaS company in a startup environment.
- Experience working with Executive and C-Level teams.
- Ability to build and maintain strong relationships with internal and external constituents.
- Excellent organization, project management, time management, and communication skills.
- Understand and document customer requirements, map to product, track & report metrics, identify up-sell and cross-sell opportunities.
- Analytical both quantitatively and qualitatively.
- Excellent verbal and written communication skills.
- Security certifications (Security +, CISSP, etc.).
Expert Technical Skills :
- Consulting and project management : documenting project charters, project plans, executing delivery management, status reporting. Executive-level presentation skills.
- Security best practices expertise : software vulnerabilities, configuration management, intrusion detection, file integrity.
- System administration (including Linux and Windows) of cloud environments : AWS, Azure, GCP; strong networking/proxy skills.
Proficient Technical Skills :
- Configuration/Orchestration (Chef, Puppet, Ansible, SaltStack, CloudFormation, Terraform).
- CI/CD processes and environments.
Familiar Technical Skills & Knowledge : Python scripting & REST API's, Docker containers, Zendesk & JIRA.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
Kubernetes∙Need 8+ years of experience in Devops CICD
∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools
∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks
∙Actively troubleshoot issues that arise during development and production
∙Owning, learning, and deploying SW in support of customer-facing applications
∙Help establish DevOps best practices
∙Actively work to reduce system costs
∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies
∙Actively work with CI/CD, GIT and other component parts of the build and deployment system
∙Leading skills with AWS cloud stack
∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts)
at scale
∙Proven experience with Kubernetes at scale
∙Proven experience with cloud management tools beyond AWS console (k9s, lens)
∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator
∙Solid team player
∙Strong experience with Linux-based infrastructures and AWS
∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others
∙Strong knowledge of JavaScript, GIT
∙Agile practitioner
PythonReview 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.
Python
DockerGCP Cloud Engineer:
- Proficiency in infrastructure as code (Terraform).
- Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
- Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
- Design Disaster Recovery and backup strategies to meet application objectives.
- Working knowledge of Google Cloud
- Working knowledge of various tools, open-source technologies, and cloud services
- Experience working on Linux based infrastructure.
- Excellent problem-solving and troubleshooting skills
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
DockerKubernetesAmazon Web Services (AWS)• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
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4+ years of experience in IT and infrastructure
-
2+ years of experience in Azure Devops
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Experience with Azure DevOps using both as CI / CD tool and Agile framework
-
Practical experience building and maintaining automated operational infrastructure
-
Experience in building React or Angular applications, .NET is must.
-
Practical experience using version control systems with Azure Repo
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Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.
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Experience in Linux shell scripting (Ubuntu) is must
-
Hands on experience with release automation, configuration and debugging.
-
Should have good knowledge of branching and merging
-
Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.
KubernetesDockerAmazon Web Services (AWS)Job Description:
Mandatory Skills:
Should have strong working experience with Cloud technologies like AWS and Azure.
Should have strong working experience with CI/CD tools like Jenkins and Rundeck.
Must have experience with configuration management tools like Ansible.
Must have working knowledge on tools like Terraform.
Must be good at Scripting Languages like shell scripting and python.
Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.
Preferable skills:
Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.
Experience in scripting languages like groovy.
Experience with GCP
Summary & Responsibilities:
Write build pipelines and IaaC (ARM templates, terraform or cloud formation).
Develop ansible playbooks to install and configure various products.
Implement Jenkins and Rundeck jobs( and pipelines).
Must be a self-starter and be able to work well in a fast paced, dynamic environment
Work independently and resolve issues with minimal supervision.
Strong desire to learn new technologies and techniques
Strong communication (written / verbal ) skills
Qualification:
Bachelor's degree in Computer Science or equivalent.
4+ years of experience in DevOps and AWS.
2+ years of experience in Python, Shell scripting and Azure.
JenkinsAmazon Web Services (AWS)PythonMust Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
Amazon Web Services (AWS)• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.
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Full Stack Developer - Averlon