• Develop and implement end-to-end solutions in Salesforce Marketing Cloud and Salesforce Data Cloud (Data 360) • Build and optimize complex customer journeys using Journey Builder • Create advanced segmentations, personalizations, and campaign activations • Work on data modeling in Contact Builder, Data Extensions, DLOs and DMOs

Role Description We are seeking an experienced AWS Cloud Engineer to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep DevOps fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business. Key Responsibilities - Architect, deploy, and operate enterprise-grade AWS environments across compute, networking, storage, identity, and managed data services, with strong attention to scalability, reliability, and security. - Author and maintain production-quality infrastructure-as-code using Terraform, AWS CloudFormation, or AWS CDK, with rigorous version control, peer review, and automated validation. - Design multi-account AWS organizations, including landing zones, SCPs, centralized logging, and shared services, to support secure and scalable enterprise adoption. - Build secure VPC topologies — including subnetting, route tables, transit gateways, VPN, and Direct Connect integrations — that meet enterprise connectivity and isolation requirements. - Implement strong IAM strategies using roles, permission boundaries, SCPs, AWS SSO, and short-lived credentials to enforce least-privilege access across the organization. - Design, deploy, and operate Amazon EKS clusters and other container platforms (ECS, Fargate), including auto-scaling, networking, and integration with service meshes and observability stacks. - Operate AWS managed data and analytics services such as RDS, Aurora, DynamoDB, S3, Redshift, Glue, and Kinesis, optimizing each for the access patterns and SLAs of the workloads it supports. - Build and maintain robust CI/CD pipelines using AWS CodePipeline, CodeBuild, Jenkins, GitHub Actions, or GitLab CI, enabling repeatable, audited deployments of both infrastructure and applications. - Implement comprehensive observability using CloudWatch, X-Ray, AWS Distro for OpenTelemetry, Prometheus, Grafana, and third-party tooling, with well-designed dashboards, alerts, and SLOs. - Drive ongoing cost optimization through right-sizing, savings plans, reserved instances, lifecycle policies, and architectural simplification, with measurable savings tracked over time. - Implement disaster-recovery and business-continuity capabilities, including cross-region replication, automated backups, regular failover testing, and documented runbooks. - Strengthen security posture using AWS Security Hub, GuardDuty, Macie, Inspector, Config, and CloudTrail, and lead remediation of findings in collaboration with security teams. - Advise application development teams on AWS-native design patterns, anti-patterns, and the appropriate service choices for each problem domain. - Develop automation scripts and operational tooling in Python, Bash, and Go to streamline routine work and accelerate incident response. - Mentor junior engineers, lead architecture and design reviews, and contribute thought leadership to the broader cloud community within the organization. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on AWS in production environments. - Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, and CloudFormation. - Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation. - Solid experience designing and operating Amazon EKS or ECS clusters at scale. - Hands-on experience with CI/CD pipelines across infrastructure and application workloads. - Strong scripting skills in Python and Bash, with familiarity in Go or PowerShell considered a plus. - Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements. - Experience implementing observability, monitoring, and alerting in cloud-native environments. - Strong troubleshooting, communication, and documentation skills. Preferred Qualifications - AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification. - Experience with multi-account AWS Organizations and centralized governance. - Familiarity with service mesh, eBPF-based observability, and zero-trust networking. - Exposure to FinOps practices and well-architected cost-optimization frameworks. - Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP). How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description DevOps, SRE engineer with strong background on Google Cloud Platform or AWS. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field - Proven experience in system observability and dashboard creation, with a strong understanding of metrics and monitoring best practices - Familiarity with business metrics and the ability to translate metrics into effective dashboard solutions - Proficiency in Grafana for dashboard creation and visualization - Experience with Prometheus and PromQL for metrics collection and querying - Utilize tools such as Dash or Google Cloud Looker Studio to create interactive dashboards that enhance data visualization and user experience - Knowledge of Google Cloud Services and their associated operational metrics - Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment Requirements - Relevant certifications in cloud services or observability tools (e.g., Google Cloud Certified) - Experience with additional monitoring and observability tools (e.g., ELK Stack, Datadog, etc.) - Experience in a lead role developing SRE principles ground up - Familiarity with DevOps practices and CI/CD pipelines Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families - Medical, dental, and vision coverage - Paid time off - Retirement savings options - Wellness programs and other resources, based on eligibility

Role Description We’re looking for an experienced Principal Business Performance Analyst with a focus on Personalization Analytics and Digital Marketing Analytics to join our Marketing Technology team. As a key member of the team, you’ll: - Analyze user-centric personalization experiences to evaluate their impact on key performance metrics. - Extract actionable insights from content search indexes and behavioral event data layers. - Deliver insights from affiliate partnerships that drive incremental conversion growth. You’ll operate in a fast-paced environment spanning iOS, Android, Mobile Web, Desktop, and OTT platforms, and will have access to Claude AI as a daily productivity partner to accelerate analysis, documentation, and insight generation. Qualifications - Bachelor’s or Master’s degree in Statistics, Data Science, Economics, or a related quantitative field. - 6+ years of experience in data analytics (preferably in digital media, streaming, or consumer platforms). - Advanced SQL and hands-on experience with cloud data warehouses (Google BigQuery, AWS Athena, AWS Glue). - Expertise with analytics platforms (Adobe Analytics, Kochava, or similar) across app, Mobile Web, Desktop, and OTT. - Experience with search index or document store data (OpenSearch, Elasticsearch, or similar APIs). - Strong experience in data warehouse design (Kimball dimensional modeling preferred). - Proven experience designing and analyzing A/B and multivariate tests in production environments. - Strong data visualization skills (Tableau, Google Data Studio). - Excellent documentation skills, with the ability to interpret complex technical specifications and produce clear, structured outputs. Requirements - Use advanced analytics (SQL, Python, R) to provide actionable insights. - Support personalization, affiliate marketing strategies, and business decisions. - Lead A/B and multivariate testing. - Optimize affiliate offers, landing pages, and user experiences to boost engagement and conversions. - Develop segmentation models to identify high-value customers. - Implement digital attribution strategies to evaluate campaign effectiveness across affiliate partners. - Build and manage dashboards and visualizations (Tableau, Google Data Studio). - Track affiliate KPIs and highlight optimization opportunities. - Partner with Marketing, Product, and Tech teams. - Identify opportunities to enhance affiliate partnerships, optimize user journeys, and improve funnel performance. - Analyze affiliate performance data. - Identify improvement areas and recommend strategies to increase conversion rates and ROI. - Collaborate with affiliate partners to analyze trends and ensure alignment with business objectives. - Evaluate algorithmic content feed performance (dwell time, affinity, content freshness, user history, saturation, behavioral signals). - Partner with Product and Engineering to assess impact of feed changes on KPIs (page sessions, video starts, retention, subscriptions). - Lead A/B and multivariate tests to optimize feed ranking and content mix across platforms (iOS, Android, Mobile Web, Desktop, OTT). - Move beyond lagging indicators (uniques, visits, time spent, video views, LTV). - Develop predictive measurement frameworks, RPM models, and incremental lift methodologies. - Surface engagement quality metrics such as dwell time, content saturation, and session depth. - Work with content search indexes (OpenSearch/Elasticsearch-style) managing article, video, and social metadata. - Integrate behavioral event log data with Adobe Analytics and Kochava into BigQuery. - Define extraction patterns from APIs and collaborate with Engineering and BI on data pipeline architecture. - Design dimensional models (Kimball methodology) optimized for performance and cost. - Document data models, schemas, and analytical logic across Confluence, JIRA, and GitHub. - Provide insights from affiliate data to drive incremental conversions. - Develop segmentation models, attribution strategies, and KPI dashboards (Tableau, Google Data Studio). Benefits - Competitive pay rate: 40.00 USD. - Flexible work mode: remote. - Hiring mode: FTE for Mexico and Costa Rica and Contractor or FTE for Brazil.