Sr. DevOps Software Engineer:

Job Purpose and Impact

The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.

Key Accountabilities

• Collaborate with internal and external partners to understand and evaluate business requirements.
• Implement modern engineering practices to ensure product quality.
• Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
• Write well-designed, testable and efficient code using full-stack engineering capability.
• Integrate software components into a fully functional software system.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Proficiency in at least one configuration management or orchestration tool, such as Ansible.
• Experience with cloud monitoring and logging services.

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent exp
• Knowledge of public cloud services & application programming interfaces
• Working exp with continuous integration and delivery practices

Preferred Qualifications

• 3-5 years of relevant exp whether in IT, IS, or software development
• Exp in:
•  Code repositories such as Git
• Scripting languages (Python & PowerShell)
• Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
• Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
• Databases such as Postgres, SQL, Elastic

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• 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)

• 3-6 years of relevant work experience in a DevOps role.
• Deep understanding of Amazon Web Services or equivalent cloud platforms.
• Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
• Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
• Continuously improve and increase the capabilities of the CI/CD pipeline
• Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
• Participate in production outages and handle complex issues and works towards resolution

What you do :

• Developing automation for the various deployments core to our business
• Documenting run books for various processes / improving knowledge bases
• Identifying technical issues, communicating and recommending solutions
• Miscellaneous support (user account, VPN, network, etc)
• Develop continuous integration / deployment strategies
• Production systems deployment/monitoring/optimization

• Management of staging/development environments

What you know :

• Ability to work with a wide variety of open source technologies and tools
• Ability to code/script (Python, Ruby, Bash)
• Experience with systems and IT operations
• Comfortable with frequent incremental code testing and deployment
• Strong grasp of automation tools (Chef, Packer, Ansible, or others)
• Experience with cloud infrastructure and bare-metal systems
• Experience optimizing infrastructure for high availability and low latencies
• Experience with instrumenting systems for monitoring and reporting purposes
• Well versed in software configuration management systems (git, others)
• Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment

• Data management skills

Education :

• Degree in Computer Engineering or Computer Science
• 1-3 years of equivalent experience in DevOps roles.
• Work conducted is focused on business outcomes
• Can work in an environment with a high level of autonomy (at the individual and team level)

• Comfortable working in an open, collaborative environment, reaching across functional.

Our Offering :

• True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.

• The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.

Perks :

• Awesome benefits, social gatherings, etc.
• Work with intelligent, fun and interesting people in a dynamic start-up environment.