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How can AI help in Remote Recruiting during COVID-19

4 minutes, 42 seconds read

The outbreak of Coronavirus has set off a chain reaction across industries taking the world economy into probably what can be called the worst recession so far. Various sectors like travel, hospitality, BFSI, supply chain, and logistics are getting hit due to social distancing and lockdowns. The effect of 2008 depression can be felt again and possibly more this time. This will have an adverse effect on employment as organizations will now re-evaluate their current business position. The initial wave of unemployment has already hit due to a lack of demand and limited cash flow in the economy. 

Due to the lockdown in India, the number of unemployed people increased from 32 million to 38 million in March, said a report released by Centre for Monitoring Indian Economy (CMIE). The unemployment rate crossed 23%. Many small and medium businesses have already started layoffs and furloughs. Organizations have become more cognizant of the money spent on human resources and deploying methods to simplify hiring through remote recruiting. Even though there’s less demand for workforce, this situation will prove to be an opportunity for jobs in some sectors.

Jobs in demand during this pandemic

The current crisis is difficult for businesses as they have to reassess crucial positions and develop new roles and responsibilities for its workforce. Organizations will look for multiple skills and capabilities within their workforce. In the post-pandemic world, once the crisis is under control, there will be an upsurge in the employment opportunities for people. The COVID-19 crisis will end one day but it has taught the world an important lesson about being prepared for any possible future pandemics. 

Professions like virologists and epidemiologists which were neglected earlier will now be more in demand. Much is said about supply chains being disrupted but the essential products and services still need to reach the end consumer. Organizations still have money and inventory which needs to be delivered. Those working in the supply chain system will still be in high demand. The education sector has gone under a transformation due to social distancing. The rise of online education has led to a rise in teaching jobs. 

Now that organizations have seen that ‘Work from Home’ actually works, there’ll be an increase in freelance job opportunities leading to a growth in the ‘gig economy’, which, in-turn will focus on efficient remote recruiting.  

[Also read: Enterprises investing in Workplace Mobility Can Survive Pandemics]

Applications of AI in Recruitment

In the current situation, there is a need for people with multiple skill-sets for critical positions. Temporarily, the job scene might not look good but it will soon pick up the pace and when it does, recruiters will have a lot of work cut out for them to hire the right people. In both scenarios, AI will play an important role. Here are some applications of AI in remote recruitment- 

Candidate screening

One of the most tedious and challenging tasks in remote recruiting is to screen candidate profiles for the relevant positions. AI-powered tools can investigate millions of profiles saving time and helping them to focus on other important tasks like building relations. 

Skill-set matching 

Every position needs a certain set of skills, talent, personality, and qualifications. AI can use data and match the job description with the applicant’s work experience, skill-sets, personality etc. This helps in improving the selection criteria of the potential candidates.

Recommendation for positions

Some AI-powered tools screen the pool of candidates and grade them in the ranks which are best suitable for the mentioned positions. This gives a much clearer picture to the recruiters enabling them in better decision making.

Identifying potential skills within the organization 

In many organizations, there are internal job postings which employees can apply for. Now, during the on-going crisis, companies need employees who can take up additional responsibilities. AI here can screen the profiles within the organization and identify the potential candidates for the required positions.

[Details: AI in Recruitment & Discovering Talent]

Post-pandemic world: Role of AI in Remote Recruiting

Post this pandemic, once the economic graph picks up, the market will see a rise in employment opportunities as well. This will increase the pool of candidates applying for jobs. There will be huge pressure on recruiters to screen thousands of profiles and source the right candidates for required positions. AI here can help in automating time-consuming workflows. With automation, organizations can cut down on costs and save a lot of time for their recruiters. 

AI-powered tools bring speed and accuracy in recruitment which helps improve the quality of hiring. Even after the pandemic, the world doesn’t seem likely to go back to normal. Many organizations will continue to have their employees work from home. In the recent news, TCS announced that around 75% of its workforce is likely to work from home by 2025. The entire recruitment process will will have to adapt to remote working. 

Conclusion

AI has been around for quite some years and is strengthening its position in across industries. Organizations have understood the importance of AI in increasing operational efficiency. The success of AI-powered tools has shown that it would be a necessity for a recruiter soon. Yet, they hesitate to invest in AI for recruitment. Sure there might be budgetary concerns right now due to the slowdown but sooner or later organizations will have to integrate AI into their recruitment process. An organization’s strength lies in the quality of its workforce. Sure AI cannot replace the intelligence brought in by recruiters but in the coming years, quality hiring will depend on how well the recruiters automate their workflows which would be possible with the help of AI.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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