Lead Cloud – DevOps Engineer

🕒 il y a 28 jours

⛰️ Colorado – Distant

⛰️ Colorado – Remote

💵 $65 - $75 / heure

⏰ Temps Plein

🟠 Senior

⛑ Ingénieur DevOps & SRE

🦅 Parrain de Visa H1B

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Blend360

Site WebLinkedInTous les Emplois

501 - 1000 employés

🤖 Intelligence artificielle

🏢 Entreprise

💰 €100 000 000 Private Equity Round en 2022-08

Artificial Intelligence • Enterprise • Consulting

Blend360 est une entreprise de services professionnels spécialisée dans l'IA, l'analyse des données et les solutions basées sur les données. Elle collabore avec les entreprises du Fortune 1000 et les grandes marques pour relever des défis majeurs en intégrant l'humain et l'intelligence artificielle. Blend360 se concentre sur plusieurs domaines, notamment la business intelligence, l'ingénierie des données, la data science, MLOps et la gouvernance des données. Leurs secteurs d'expertise comprennent les services financiers, l'énergie, la santé et les sciences de la vie, le commerce de détail, la technologie, les médias et télécommunications, et le tourisme et l'hôtellerie. Blend360 est reconnue pour ses solutions en IA et en données, ayant reçu des distinctions telles que "Solution d'Activation de l'IA de l'Année" et figurant parmi les "Meilleurs Fournisseurs de Services d'IA Générative 2024".

Description

• Design and implement AWS cloud infrastructure and deployment patterns for the data platform, including multi-account AWS Organizations strategy, IAM design, networking, naming conventions, and tagging standards. • Build and maintain CI/CD pipelines to support repeatable, controlled releases across Development, Test, and Production environments. • Provision and configure AWS infrastructure as code (Terraform), including services such as AWS Glue, Amazon S3, Amazon Redshift, VPC networking, VPN/Direct Connect connectivity, Route 53, security groups, and firewall controls to connect on-premises source systems. • Configure Git-based integration and deployment workflows for platforms such as Databricks or Snowflake to enforce version-controlled deployments. • Support deployment of backend services, orchestration components, data services, APIs, and front-end applications. • Enable monitoring, logging, alerting, and telemetry using services such as Amazon CloudWatch, AWS CloudTrail, AWS Config, and observability platforms like Datadog. • Define and implement operational controls for reliability, performance, scalability, backup/recovery, and incident response. • Implement and enforce secure access patterns using AWS IAM, IAM Identity Center (AWS SSO), AWS Secrets Manager, AWS KMS, and policy-driven access controls, including row-level and column-level security requirements where applicable. • Ensure the solution aligns with architecture, security, governance, and service transition requirements. • Support non-functional testing, release readiness, and path-to-production activities. • Produce comprehensive operational runbooks, platform documentation, and a full IaC handover package enabling the client’s internal IT team to take ownership of platform operations at programme close. • Support cost management, network performance tuning, and security hardening of the AWS platform; contribute to FinOps reporting and disaster recovery planning.

🎯 Exigences

• Strong hands-on experience with CI/CD tooling and release automation. • Experience with infrastructure-as-code using Terraform or similar tools. • Hands-on experience deploying and operating cloud-native workloads in AWS, including services such as AWS Glue, Amazon S3, Amazon Redshift, Amazon ECS/EKS, AWS Lambda, IAM, and VPC networking. • Experience with Databricks and/or Snowflake deployments in AWS environments. • Strong understanding of containerisation, serverless architectures, managed compute services, and environment promotion strategies. • Experience with observability tooling covering logging, monitoring, alerting, and service health. • Knowledge of security best practices including IAM, RBAC, secrets management, encryption, and policy-driven access control. • Experience supporting production-grade data platforms in enterprise environments, ideally in regulated sectors with compliance requirements such as PIPEDA or equivalent. • Familiarity with Git-based workflows and collaborative engineering practices. • Strong troubleshooting, communication, and stakeholder management skills.

🏖️ Avantages

• medical, dental, and vision coverage • a 401(k) plan • paid time off • paid holidays • commuter benefits • flexible spending accounts • life and disability insurance • employee assistance programs