Devops Engineer

Role Overview

We are looking for a DevOps Engineer with 2 – 5 years of experience working on AWS-based production systems. This role strictly requires hands-on experience managing production databases (MongoDB / SQL).

👉 Please apply only if you have hands-on experience managing databases in a production environment.

Key Responsibilities:

• Build and maintain AWS infrastructure with focus on availability, security, and cost.
• Deploy and operate Kubernetes (EKS) clusters and containerized applications in production.
• Manage and scale production databases (backup, replication, performance tuning, upgrades).
• Design and maintain CI/CD pipelines for automated deployments.
• Manage MongoDB or SQL in high-scale environments.
• Implement Infrastructure as Code using Terraform.
• Set up monitoring, logging, and alerting.
• Handle production incidents, on-call support, and RCA.
• Automate ops tasks using Bash / Python.

Requirements:

• 2 – 5 years of DevOps experience.
• Hands-on experience managing production databases (MongoDB or SQL).
• Strong AWS & Kubernetes (EKS) experience in production.
• Experience with CI/CD tools (Jenkins / GitLab CI / GitHub Actions / ArgoCD), Terraform, Linux and networking fundamentals.
• Scripting: Bash / Python.
• Immediate joiners preferred.

Experience with MongoDB is preferred, though candidates with solid SQL database experience will also be considered.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

  Job Description:

We are looking to recruit engineers with zeal to learn cloud solutions using Amazon Web Services (AWS). We\'ll prefer an engineer who is passionate about AWS Cloud technology, passionate about helping customers succeed, passionate about quality and truly enjoys what they do. The qualified candidate for AWS Cloud Engineer position is someone who has a can-do attitude and is an innovative thinker.

• Be a hands on with responsibilities for the installation, configuration, and ongoing management of Linux based solutions on AWS for our clients.
• Responsible for creating and managing Autoscaling EC2 instances using VPCs, Elastic Load Balancers, and other services across multiple availability zones to build resilient, scalable and failsafe cloud solutions.
• Familiarity with other AWS services such as CloudFront, ALB, EC2, RDS, Route 53 etc. desirable.
• Working Knowledge of RDS, Dynamo DB, Guard Duty, WAF, Multi tier architecture.
• Proficient in working on Git, CI CD Pipelined, AWS Devops, Git, Bit Bucket, Ansible.
• Proficient in working on Docker Engine, Containers, Kubernetes .
• Expertise in Migration workload to AWS from different cloud providers
• Should be versatile in problem solving and resolve complex issues ranging from OS and application faults to creatively improving solution design
• Should be ready to work in rotation on a 24x7 schedule, and be available on call at other times due to the critical nature of the role
• Fault finding, analysis and of logging information for reporting of performance exceptions
• Deployment, automation, management, and maintenance of AWS cloud-based production system.
• Ensuring availability, performance, security, and scalability of AWS production systems.
• Management of creation, release, and configuration of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Pre-production acceptance testing for quality assurance.
• Provision of critical system security by leveraging best practices and prolific cloud security solutions.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Designing, maintenance and management of tools for automation of different operational processes.

Desired Candidate Profile

o    Customer oriented personality with good communication skills, who is able to articulate and communicate very effectively verbally as well as in written communications.

o    Be a team player that collaborates and shares experience and expertise with the rest of the team.

o    Understands database system such as MSSQL, Mongo DB, MySQL, MariaDB, Dynamo DB, RDS.

o    Understands Web Servers such as Apache, Ningx.

o    Must be RHEL certified.

o    In depth knowledge of Linux Commands and Services.

o    Efficiency enough to manage all internet applications inclusive FTP, SFTP, Ningx Apache, MySQL, PHP.

o    Good communication skill.

o    Atleast 3-7 Years of experience in AWS and Devops.

  Company Profile:

i2k2 Networks is a trusted name in the IT cloud hosting services industry. We help enterprises with cloud migration, cost optimization, support, and fully managed services which helps them to move faster and scale with lower IT costs. i2k2 Networks offers a complete range of cutting-edge solution that drives the Internet-powered business modules. We excel in:

  - Managed IT Services

  - Dedicated Web Servers Hosting

  - Cloud Solutions

  - Email Solutions

  - Enterprise Services

  - Round the clock Technical Support

   https://www.i2k2.com/">https://www.i2k2.com/

   Regards

   Nidhi Kohli

   i2k2 Networks Pvt Ltd.

   AM - Talent Acquisition

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

Please find the JD below: 

• 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 
• Administration of Azure Kubernetes services 

What you need to have:

• Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
• Hands on experience in DevOps tools configuration in different environments.
• Strong knowledge of working with DevOps design patterns, processes and best practices
• Hand-on experience in Setting up Build pipelines.
• Prior working experience in system administration or architecture in Windows or Linux.
• Must have experience in GIT (BitBucket, GitHub, GitLab)
• Hands-on experience on Jenkins pipeline scripting.
• Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
• Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
• Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
• Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
• Good to have experience in migrating code repositories from one source control to another.
• Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
• Must have good communication skills and problem solving skills