• Design, build, and maintain secure, scalable, and highly available AWS infrastructure supporting our mission-critical applications. • Manage SQL Server environments hosted on AWS RDS and EC2, optimizing performance, tuning queries, and ensuring data reliability and availability. • Develop and maintain CI/CD pipelines (GitHub, Terraform, PowerShell, or your tool of choice) to automate build, test, and deployment workflows. • Collaborate closely with Development, QA, Product Management, and Information Security teams to ensure smooth, secure releases and stable environments. • Monitor and troubleshoot performance issues using tools like CloudWatch, DataDog, and SIEM dashboards, driving root-cause analysis and proactive prevention. • Contribute to security and compliance initiatives by adhering to SOC 2 and CJIS-aligned policies, managing IAM roles, patching systems, and safeguarding secrets. • Participate in incident response activities, assisting with mitigation, root-cause investigation, and long-term resolution. • Document infrastructure configurations, procedures, and architecture for operational continuity and knowledge sharing. • Support continuous improvement by proposing new automation, cost optimization, and resilience strategies across environments.

• Architect and implement secure, scalable cloud environments across AWS and Azure. • Lead application and infrastructure modernization initiatives using cloud-native services. • Design highly available, multi-region architectures aligned with SLA, RPO, and RTO requirements. • Establish cloud architecture standards, reference architectures, and operational guardrails. • Design, implement, and manage CI/CD pipelines using Git and GitLab across multiple environments. • Lead enterprise-scale Infrastructure as Code (IaC) programs using Terraform. • Automate environment provisioning, configuration management, and release orchestration. • Design and manage complex cloud networking architectures. • Act as a technical liaison between Development, QA, Security, and SaaS Operations. • Embed security-by-design and zero-trust principles across cloud and DevOps platforms. • Lead FinOps initiatives, including cloud cost optimization, forecasting, and chargeback. • Serve as senior technical authority for cloud, networking, and DevOps platforms. • Mentor DevOps Engineers, Cloud Engineers, and SaaS Ops Reliability Engineers.

• Lead, mentor, and develop a team of DevOps engineers, fostering a culture of excellence, collaboration, and continuous learning • Provide leadership-level coverage during US evenings and weekends to ensure rapid response to critical incidents and maintain platform stability • Drive strategic planning and coordination of DevOps initiatives during US business hours, working closely with engineering, product, and business stakeholders • Oversee architecture and implementation of scalable AWS and hybrid cloud infrastructure using Terraform/Terragrunt and related Infrastructure as Code tools • Guide the design, building, and optimization of highly available containerized environments leveraging EKS, Kubernetes, and Docker • Lead the automation strategy for CI/CD pipelines (TeamCity, GitHub Actions, ArgoCD, and similar), ensuring fast, secure, and reliable software delivery across environments • Champion security by design, implementing guardrails, identity/access controls, and compliance-driven automation across infrastructure layers • Collaborate with global teams in Poland to optimize handoffs, knowledge sharing, and round-the-clock operational coverage • Manage incident response processes, conduct post-mortems, and implement preventive measures to reduce future incidents • Establish and maintain monitoring, alerting, and observability practices using tools like Prometheus, Grafana, ELK/EFK, Datadog, or similar • Develop and track key performance metrics for infrastructure reliability, deployment velocity, and team productivity • Drive continuous improvement in deployment processes, system resilience, and cost optimization across multiple environments • Lead recruitment efforts to build and scale the DevOps team as business needs evolve.

• Architect and lead the design of complex, enterprise-scale data pipelines using Airflow, DBT, and Databricks • Define and implement strategies for pipeline performance optimization to support real-time and batch processing at scale • Lead the design and optimization of AWS-based data infrastructure, including S3, Lambda, and Snowflake architecture • Establish and enforce best practices for cost-efficient, secure, and scalable data processing across the organization • Design and optimize AWS SageMaker environments for ML teams, ensuring optimal performance and resource utilization • Lead cross-functional collaboration with ML, Data Science, and Reporting teams to establish data strategy and ensure seamless data accessibility • Design and implement comprehensive data pipeline monitoring, alerting, and logging frameworks to proactively detect failures and performance bottlenecks • Architect automation solutions for data quality, lineage tracking, and schema evolution management • Lead incident response efforts, performing complex troubleshooting and root cause analysis for critical data issues • Champion and evolve Data DevOps best practices, driving automation, reproducibility, and scalability across the organization • Mentor junior and mid-level engineers, conducting code reviews and providing technical guidance • Establish technical standards, document complex infrastructure patterns, data workflows, and operational procedures • Evaluate and recommend new technologies and tools to improve data infrastructure and workflows.