Cassandra Administrator

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

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Title: Azure Cloud Developer/Engineer

Exp: 5+ yrs

Location: T-Hub, Hyderabad

Work from office (5 days/week)

Interview rounds: 2-3

Excellent comm skills

Immediate Joiner

Job Description

Position Overview:

We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.

Key Responsibilities:

• Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
• Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
• Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
• Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
• Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
• Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
• Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
• Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
• Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
• Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
• Work with Azure Key Vault for secrets and certificate management.
• Explore multi-cloud strategies, integrating AWS services where necessary.

Key Skills Required:

• Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
• Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
• Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
• Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
• Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
• CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
• Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
• Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
• Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
• Strong understanding of containerization, orchestration, and microservices architecture.

Certifications (Preferred):

Required:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert

Nice to Have (AWS Experience):

• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional

Nice to Have Skills:

• Experience with multi-cloud environments (Azure & AWS).
• Familiarity with container security tools (Aqua Security, Prisma Cloud).
• Experience with GitOps methodologies using tools like ArgoCD or Flux.
• Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).

Benefits

Why Join Us?

• Competitive salary with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.

Key Responsibilities: 

• Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices. 
• Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications. 
• Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others. 
• Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure. 
• Automation: Identify and automate repetitive tasks to improve efficiency and reliability. 
• Security: Implement security best practices and ensure compliance with industry standards. 
• Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products. 

Required Skills and Qualifications: 

• Experience: 2-5 years of experience in a DevOps role. 
• AWS: In-depth knowledge of AWS services and solutions. 
• CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar. 
• GitOps Expertise: Proficient in GitOps methodologies and tools. 
• Kubernetes: Strong hands-on experience with Kubernetes and container orchestration. 
• Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar. 
• Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar. 
• Version Control: Strong understanding of version control systems, primarily Git. 
• Problem-Solving: Excellent problem-solving and debugging skills. 
• Collaboration: Ability to work in a fast-paced, collaborative environment. 
• Education: Bachelor’s or master’s degree in computer science or a related field. 

• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer

1. Develop and Deploy Software:
1. Architect and create an effective build and release process using industry best practices and tools
2. Create and manage build scripts to deploy software in a multi-cloud environment
3. Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
2. Manage Release Schedule:
1. Act as a “gate keeper” for all releases into production
2. Work closely with business stakeholders, development managers and developers to prepare a release schedule
3. Help prioritize deployment requests for version upgrades, patches and hot-fixes
3. Continuous Delivery of Software:
1. Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
2. Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
3. Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
4. Manage Version Control:
1. Define and implement branching policies to efficiently manage source-code
2. Implement business rules as a part of source control standards
5. Resolve Software Issues:
1. Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
2. Address deployment related issues
6. Maintain Release Documentation:
1. Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

About Us

At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.

Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.

We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.

The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.

Website: http://www.digilytics.ai">www.digilytics.ai

• Know about our product
  • https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
  • https://www.digilytics.ai/RevUP/">Digilytics RelUP
• What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
• Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z

 Responsibilities

• Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
• Hands-on experience on Kubernetes/Docker/helm.
• Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
• Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
• CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
• Experience with SharePoint and O365 administration
• Azure/Kubernetes certification will be preferred.
• Microsoft Partnership experience is good to have. 
• Excellent understanding of required technologies
• Good interpersonal skills and the ability to communicate ideas clearly at all levels
• Ability to work in unfamiliar business areas and to use your skills to create solutions
• Ability to both work in and lead a team and to deliver and accept peer review
• Flexible approach to working environment and hours to meet the needs of the business and clients

Must Haves:

• Hands-on experience on Kubernetes/Docker/helm.
• Experience on Azure/Aws or any other cloud provider.
• Linux & CI/CD tools knowledge.

Experience & Education:

• A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
• Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
• Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
• A bachelor's degree, or equivalent, in Software Engineering and Computer Science

This person MUST have:

• Min of 3-5 prior experience as a DevOps Engineer.
• Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
• Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
• Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
• Experience managing AWS infrastructure
• Hands on experience of Linux administration.
• Basic understanding of Kubernetes/Docker orchestration
• Works closely with engineering team for day to day activities
• Manges existing infrastructure/Pipelines/Engineering tools (On Prem or  AWS) for engineering team (Build servers/Jenkin nodes etc.)
• Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
• Works closely with engineering team for improving existing pipelines for build .
• Troubleshoots problems across infrastructure/services

Experience:

• Min 5-7  year experience

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week (11 AM to 7 PM).

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.