Engineer-Devops (AWS)

Job Description

BOLD is seeking for Devops professional to own the 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 Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. Manage data/feature stores and search infrastructure for scalable ML inference. Automate CI/CD for ML models and infrastructure with governance and security compliance. Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes. WHAT YOU?LL NEED 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on Expertise in CI/CD pipelines using Jenkins, Spinnaker, Groovy, CodePipeline, CodeBuild; Gradle, Artifactory, Docker/npm registries. Deep containerization/orchestration with Kubernetes (EKS), ECS, Docker; Infrastructure-as-Code via Terraform. Python/Bash scripting for CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). Monitoring with CloudWatch, Prometheus, Grafana, ELK, Datadog, Splunk for health/performance analytics. Strong Linux and networking fundamentals; EXPERIENCE- MLOps Sr. Engineer, DevOps - 4.5+ years MLOps Lead, DevOps ? 7+ 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) Practo Plus health membership for employees and family 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.