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.

Role Description We are seeking a Resiliency Architect to lead advisory workshops for our clients with developing cloud architectures. The successful candidate will play a critical role in advising on and designing strategies that enhance the resilience of cloud environments. The focus is on concepts and practices including high availability, disaster recovery planning, business continuity planning, major incident response plans, and formal risk assessments. - Lead advisory workshops to assist clients in building resilient cloud architectures. - Advise on strategies to improve system reliability and availability. - Develop and implement disaster recovery and business continuity plans. - Conduct formal risk assessments to identify potential vulnerabilities. - Design major incident response plans to mitigate and manage disruptions effectively. - Collaborate with client teams to understand their architectural needs and provide tailored solutions. - Educate clients on best practices for building resilient systems. Qualifications - A minimum of 3 years of experience in cloud resiliency engineering or related fields. - Demonstrated exposure to Site Reliability Engineering concepts. - Strong understanding of high availability, disaster recovery, and business continuity planning. - Experience in conducting risk assessments and developing incident response plans. - Ability to communicate complex technical concepts to non-technical stakeholders. - Excellent interpersonal and communication skills, with the ability to lead workshops and engage with diverse client teams. Location ESP Work-at-Home Language Requirements French and English Time Type Full time