Senior Engineer, Devops (AWS Automation)

BOLD

Dadri

On-site

INR 1,500,000 - 2,200,000

Full time

7 days ago
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Benefits offered by this job

Group Mediclaim
Bi-annual bonus
Annual appraisal
Equity in company
Internet and home office reimbursement
In-office catered lunch

Job summary

BOLD is seeking a DevOps professional to own production ML environments and MLOps infrastructure within infrastructure and data science teams. You will architect scalable pipelines on Kubernetes with service mesh, and manage 24x7 operations across global time zones.

Responsibilities include building secure CI/CD workflows, on-call engineering, and cost optimization while collaborating with cross-functional teams to scale OpenSearch/EMR platforms.

Qualifications

  • 4.5+ years AWS/DevOps production experience.
  • Proficient in Python, Bash, Groovy, or Java for CI/CD automation.
  • Experience building scalable MLOps on Kubernetes with service mesh (Istio/Gloo).
  • Hands-on with AWS services: SageMaker, EMR, OpenSearch, S3, DynamoDB, Lambda.
  • Strong observability: CloudWatch, Splunk, Prometheus/Grafana.

Responsibilities

  • Architect and productionize microservices with advanced DevOps pipelines in collaboration with data science teams.
  • Design observability frameworks to minimize MTTR and ensure 24x7 platform reliability.
  • Engineer secure, automated CI/CD workflows with governance controls.
  • Lead 24x7 on-call engineering, security hardening, and cost optimization for IAAS & PAAS.
  • Manage production deployments and hybrid cloud environments across teams.
  • Drive cross-functional collaboration to scale OpenSearch/EMR platforms and platform operations.

Skills

AWS/DevOps
Python
Bash
Groovy
Java
CI/CD
Terraform
Kubernetes
SageMaker
EMR
OpenSearch
Monitoring
GitHub Actions

Tools

Jenkins
Spinnaker
CodePipeline
CodeBuild
Gradle
Maven
Artifactory
Docker
EKS
Terraform
CloudFormation

Job description

Bold is seeking a Devops professional who owns production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

Job Description
ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO
  • Architect and productionize microservices with advanced DevOps pipelines , partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
  • Design comprehensive observability frameworks to minimize MTTR and ensure24x7platform reliability.
  • Engineer secure, automated CI/CD workflows with governance and compliance controls
  • Lead 24x7 on-call engineering, CDN & security hardening and cost optimization strategies IAAS & PAAS in Cloud
  • Manage infrastructure operations, production deployments, and hybrid cloud environments.
  • Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations
WHAT YOU’LL NEED
  • 4.5+ years (Sr. Engineer) / 7+ years (Module Lead)AWS/DevOps production experience
  • Scripting: Python/Bash/Groovy/Java(CI/CD, EKS, FastAPI/Spring Boot)
  • CI/CD: Jenkins (declarative pipelines, Groovy),Spinnaker, CodePipeline /CodeBuild, Gradle, Maven, Artifactory, GitHub Actions
  • IaC:Terraform, AWS CloudFormation
  • Containers: EKS + Istio/ Gloo/ Karpenter, ECS, Docker, Buildah
  • AWS: VPC/IAM/GuardDuty/AWS Config, S3/ DynamoDB /Lambda /SageMaker /EMR, cost optimization
  • Observability: Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor
  • GitHub: Actions automation, branch/PR governance
  • DNS management (NS1/Cloudflare/GoDaddy)
EXPERIENCE-
  • Sr. Engineer Devops AWS (Automation)- 4.5 years+
BENEFITS
Outstanding Compensation
  • Competitive salary
  • Tax-friendly compensation structure
  • Bi-annual bonus
  • Annual Appraisal
  • Equity in company
100% Full Health Benefits
  • Group Mediclaim, personal accident, & term life insurance
  • Group Mediclaim benefit (including parents' coverage)
  • Online Health (OPD) Consultation Benefit
  • Personal accident and term life insurance coverage
Flexible Time Away
  • 24 days paid leaves
  • Declared fixed holidays
  • Paternity and maternity leave
  • Compassionate and marriage leave
  • Covid leave (up to 7 days)
ADDITIONAL BENEFITS
  • Internet and home office reimbursement
  • In-office catered lunch, meals, and snacks
  • Certification policy
  • Cab pick-up and drop-off facility
About BOLD
We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

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