Jr. Full Stack Developer

REVIEW CRITERIA:

MANDATORY:

• Strong Senior/Lead DevOps Engineer Profile
• Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
• Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
• Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
• Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
• Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
• Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
• Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
• Its an IC role

PREFERRED:

• Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
• Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
• Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Candidates from NCR region only (No outstation candidates).

ROLES AND RESPONSIBILITIES:

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.

KEY RESPONSIBILITIES:

Cloud & Infrastructure as Code (IaC)-

• Architect and manage AWS environments ensuring scalability, security, and high availability.
• Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
• Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.

CI/CD & Automation:

• Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
• Automate deployments, provisioning, and monitoring across environments.

Containers & Orchestration:

• Deploy and operate workloads on Docker and Kubernetes (EKS).
• Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
• Optimize performance of containerized and microservices applications.

Monitoring & Reliability:

• Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Establish logging, alerting, and proactive monitoring for high availability.

Security & Compliance:

• Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
• Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
• Configure VPNs, firewalls, and secure access policies and AWS organizations.

Databases & Analytics:

• Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Manage data reliability, performance tuning, and cloud-native integrations.
• Experience with Apache Airflow and Spark.

IDEAL CANDIDATE:

• 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
• Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
• Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
• Proven ability with CI/CD pipeline automation and DevSecOps practices.
• Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
• Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Strong scripting skills (Shell/bash, Python, or similar) for automation.
• Bachelor / Master’s degree
• Effective communication skills

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

About us

Classplus is India's largest B2B ed-tech start-up, enabling 1 Lac+ educators and content creators to create their digital identity with their own branded apps. Starting in 2018, we have grown more than 10x in the last year, into India's fastest-growing video learning platform.

Over the years, marquee investors like Tiger Global, Surge, GSV Ventures, Blume, Falcon, Capital, RTP Global, and Chimera Ventures have supported our vision. Thanks to our awesome and dedicated team, we achieved a major milestone in March this year when we secured a “Series-D” funding.

Now as we go global, we are super excited to have new folks on board who can take the rocketship higher🚀. Do you think you have what it takes to help us achieve this? Find Out Below!

What will you do?

· Define the overall process, which includes building a team for DevOps activities and ensuring that infrastructure changes are reviewed from an architecture and security perspective

· Create standardized tooling and templates for development teams to create CI/CD pipelines

· Ensure infrastructure is created and maintained using terraform

· Work with various stakeholders to design and implement infrastructure changes to support new feature sets in various product lines.

· Maintain transparency and clear visibility of costs associated with various product verticals, environments and work with stakeholders to plan for optimization and implementation

· Spearhead continuous experimenting and innovating initiatives to optimize the infrastructure in terms of uptime, availability, latency and costs

You should apply, if you

1. Are a seasoned Veteran: Have managed infrastructure at scale running web apps, microservices, and data pipelines using tools and languages like JavaScript(NodeJS), Go, Python, Java, Erlang, Elixir, C++ or Ruby (experience in any one of them is enough)

2. Are a Mr. Perfectionist: You have a strong bias for automation and taking the time to think about the right way to solve a problem versus quick fixes or band-aids.

3. Bring your A-Game: Have hands-on experience and ability to design/implement infrastructure with GCP services like Compute, Database, Storage, Load Balancers, API Gateway, Service Mesh, Firewalls, Message Brokers, Monitoring, Logging and experience in setting up backups, patching and DR planning

4. Are up with the times: Have expertise in one or more cloud platforms (Amazon WebServices or Google Cloud Platform or Microsoft Azure), and have experience in creating and managing infrastructure completely through Terraform kind of tool

5. Have it all on your fingertips: Have experience building CI/CD pipeline using Jenkins, Docker for applications majorly running on Kubernetes. Hands-on experience in managing and troubleshooting applications running on K8s

6. Have nailed the data storage game: Good knowledge of Relational and NoSQL databases (MySQL,Mongo, BigQuery, Cassandra…)

7. Bring that extra zing: Have the ability to program/script is and strong fundamentals in Linux and Networking.

8. Know your toys: Have a good understanding of Microservices architecture, Big Data technologies and experience with highly available distributed systems, scaling data store technologies, and creating multi-tenant and self hosted environments, that’s a plus

Being Part of the Clan

At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for!

It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams); you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers! ✊🏼❤️

Are you a go-getter with the chops to nail what you do? Then this is the place for you.

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Java with cloud