Angular Developer

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance. 

Key Roles & Responsibilities:

• Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
• Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
• Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
• Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
• Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
• Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
• Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
• Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability. 

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
• Strong expertise in CI/CD pipelines, version control (Git), and release automation.
•  Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
• Proficiency in Terraform, Ansible for infrastructure automation.
• Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
• Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Strong scripting and automation skills in Python, Bash, or Go.

Preferred Qualifications 

• Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
• Exposure to serverless architectures and event-driven workflows.
• Contributions to open-source DevOps projects. 

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

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.

Responsibilities

- Building and maintenance of resilient and scalable production infrastructure 

Improvement of monitoring systems

- Improvement of monitoring systems

- Creation and support of development automation processes (CI / CD)

- Participation in infrastructure development 

- Detection of problems in architecture and proposing of solutions for solving them 

- Creation of tasks for system improvements for system scalability, performance and monitoring

- Analysis of product requirements in the aspect of devops

- Incident analysis and fixing

Skills and Experience

- Understanding of the distributed systems principles 

- Understanding of principles for building a resistant network infrastructure 

- Experience of Ubuntu Linux administration (Debian-like will be a plus)

- Strong knowledge of Bash

- Experience of working with LXC-containers 

- Understanding and experience with infrastructure as a code approach 

- Experience of development idempotent Ansible roles

- Experience of working with git

Preferred experience

 Experience with relational databases (PostgeSQL), ability to create simple SQL queries 

- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)

- Understanding of dynamic routing (OSPF) 

- Knowledge and experience of working with network equipment Cisco

- Experience of working with Cisco NX-OS

- Experience of working with IPsec, VXLAN, Open vSwitch

- Knowledge of principles of multicast protocols IGMP, PIM

- Experience of setting multicast on Cisco equipment

- Experience administering Atlassian products

Required Skills and Experience 

• 4+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 4+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
• Building and running Docker images and deployment on Amazon ECS
• Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
• Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
• Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
• Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
• Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
• Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
• Understanding of IAM, RBAC, NACLs, and KMS
• Good communication skills

Good to have:

• Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
• Knowledge of database administration such as MongoDB.
• Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
• Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
• Establish and promote DevOps thinking, guidelines, best practices, and standards.
• Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.