Senior DevOps

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage cloud infrastructure on Microsoft Azure including VMs, App Services, AKS, Networking, and Storage
• Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep
• Build and manage containerized environments using Docker and Kubernetes
• Deploy and manage Azure Kubernetes Service (AKS) clusters
• Automate configuration management and deployments
• Implement monitoring and logging solutions using Azure Monitor, Log Analytics, and Application Insights
• Integrate security best practices (DevSecOps) within CI/CD pipelines
• Collaborate with development teams to improve build, release, and deployment processes
• Troubleshoot production issues and optimize system performance
• Ensure high availability, scalability, and disaster recovery strategies

Required Skills & Qualifications

• 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation
• Strong hands-on experience with Microsoft Azure
• Expertise in CI/CD implementation using Azure DevOps
• Experience with scripting languages such as PowerShell, Bash, or Python
• Proficiency in Infrastructure as Code (Terraform, ARM, Bicep)
• Experience with container orchestration (Kubernetes/AKS)
• Knowledge of Git-based version control systems
• Experience with configuration management tools
• Strong understanding of networking, security, and cloud architecture
• Experience working in Agile/Scrum environments

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

• Candidate should have good Platform experience on Azure with Terraform.
• The devops engineer  needs to help developers, create the Pipelines and K8s Deployment Manifests.
• Good to have experience on migrating data from (AWS) to Azure. 
• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
• VMs to be provisioned on Azure Cloud and managed.
• Good hands on experience of Networking on Cloud is required.
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
• Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential. 
• Requirement is  to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
• The experience in AWS is desirable 
• Python experience is optional however Power shell is mandatory
• Know-how on the use of GitHub

• 2+ years work experience in a DevOps or similar role
• Knowledge of OO programming and concepts (Java, C++, C#, Python)
• A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
• Fluency in one or more scripting languages such as Python or Ruby.
• Familiarity with Microservice-based architectures
• Practical experience with Docker containerization and clustering (Kubernetes/ECS)
• In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
• Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
• Experience with AWS, Azure, or another cloud PaaS provider.
• Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
• Proficiency with source control, continuous integration, and testing pipelines
  
• Effective communication skills

• Deploy and maintain critical applications on cloud-native microservices architecture.
• Implement automation, effective monitoring, and infrastructure-as-code.
• Deploy and maintain CI/CD pipelines across multiple environments.
• Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
• Analyze how customers are using the platform and help drive continuous improvement.
• Support and work alongside a cross-functional engineering team on the latest technologies.
• Iterate on best practices to increase the quality & velocity of deployments.
• Sustain and improve the process of knowledge sharing throughout the engineering team
• Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
• Own daily operational goals with the team.

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

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

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

A.P.T Portfolio, a high frequency trading firm that specialises in Quantitative Trading & Investment Strategies.Founded in November 2009, it has been a major liquidity provider in global Stock markets. 

As a manager, you would be incharge of managing the devops team and your remit shall include the following

• Private Cloud - Design & maintain a high performance and reliable network architecture to support  HPC applications
• Scheduling Tool - Implement and maintain a HPC scheduling technology like Kubernetes, Hadoop YARN  Mesos, HTCondor or Nomad for processing & scheduling analytical jobs. Implement controls which allow analytical jobs to seamlessly utilize ideal capacity on the private cloud. 
• Security - Implementing best security practices and implementing data isolation policy between different divisions internally. 
• Capacity Sizing - Monitor private cloud usage and share details with different teams. Plan capacity enhancements on a quarterly basis. 
• Storage solution - Optimize storage solutions like NetApp, EMC, Quobyte for analytical jobs. Monitor their performance on a daily basis to identify issues early.
• NFS - Implement and optimize latest version of NFS for our use case. 
• Public Cloud - Drive AWS/Google-Cloud utilization in the firm for increasing efficiency, improving collaboration and for reducing cost. Maintain the environment for our existing use cases. Further explore potential areas of using public cloud within the firm. 
• BackUps  - Identify and automate  back up of all crucial data/binary/code etc in a secured manner at such duration warranted by the use case. Ensure that recovery from back-up is tested and seamless. 
•  Access Control  - Maintain password less access control and improve security over time. Minimize failures for automated job due to unsuccessful logins. 
•  Operating System  -Plan, test and roll out new operating system for all production, simulation and desktop environments. Work closely with developers to highlight new performance enhancements capabilities of new versions. 
•  Configuration management  -Work closely with DevOps/ development team to freeze configurations/playbook for various teams & internal applications. Deploy and maintain standard tools such as Ansible, Puppet, chef etc for the same. 
•  Data Storage & Security Planning  - Maintain a tight control of root access on various devices. Ensure root access is rolled back as soon the desired objective is achieved.
• Audit access logs on devices. Use third party tools to put in a monitoring mechanism for early detection of any suspicious activity. 
• Maintaining all third party tools used for development and collaboration - This shall include maintaining a fault tolerant   environment for GIT/Perforce, productivity tools such as Slack/Microsoft team, build tools like Jenkins/Bamboo etc

Qualifications 

• Bachelors or Masters Level Degree, preferably in CSE/IT
• 10+ years of relevant experience in sys-admin function
• Must have strong knowledge of IT Infrastructure, Linux, Networking and grid.
• Must have strong grasp of automation & Data management tools.
• Efficient in scripting languages and python

Desirables

• Professional attitude, co-operative and mature approach to work, must be focused, structured and well considered, troubleshooting skills.
•  Exhibit a high level of individual initiative and ownership, effectively collaborate with other team members.

APT Portfolio is an equal opportunity employer