- Define and execute the Cloud and Platform strategy, ensuring alignment with corporate objectives, regulatory frameworks, and cost-efficiency goals. - Lead a multi-disciplinary organization covering Cloud Infrastructure, SRE, Platform Engineering, and DevSecOps, fostering collaboration and shared accountability for uptime, security, and performance. - Drive modernization of infrastructure and delivery pipelines, enabling a unified, automated, and compliant cloud environment. - Partner with executive leadership to define scalable operating models, balancing autonomy for product squads with standardized guardrails and golden paths. - Establish a long-term architectural vision for cloud services, platform frameworks, and developer enablement tools. - Sponsor AI-assisted engineering adoption to enhance developer productivity, reduce toil, and accelerate delivery (e.g., Copilot, Cursor, LLM-based agents). - Serve as the ultimate technical and strategic authority for AWS, Kubernetes, IaC, Observability, and Reliability practices across the organization. - Oversee the design, scalability, and governance of the AWS multi-account organization, enforcing security, compliance, and cost policies (Control Tower, SCPs, Service Catalog). - Lead the definition and implementation of multi-region, multi-environment architectures ensuring reliability, latency optimization, and disaster recovery readiness (RPO/RTO). - Institutionalize well-architected principles (Security, Reliability, Performance, Cost, Sustainability) and drive continuous improvement programs based on regular audits. - Evolve network and connectivity architectures (VPC, Transit Gateway, PrivateLink, Global Accelerator) to meet scaling, compliance, and availability goals. - Own identity, access, and secrets management lifecycle (IAM least privilege, mTLS, KMS/HSM key rotation, Vault integration). - Oversee monitoring and observability frameworks, implementing standards, and unified dashboards across all services. - Ensure SLO-driven operations, with well-defined SLIs, error budgets, and automated incident management loops. - Lead resilience and reliability engineering practices, including chaos engineering, failover drills, dependency fallback design, and proactive degradation handling. - Build and scale the company’s Internal Developer Platform (IDP), empowering teams with self-service capabilities for environment provisioning, deployments, and observability. - Define golden paths, opinionated tooling, and reusable infrastructure modules, enabling consistent, secure, and fast software delivery across squads. - Ensure trunk-based development, progressive delivery (canary, blue/green), automated rollback, and health/SLO-gated deployments are embedded into CI/CD flows. - Drive GitOps adoption to achieve deterministic deployments, auditability, and drift detection. - Expand event-driven and streaming platforms (e.g., Kafka), defining keying, partitioning, and schema evolution strategies to support scalability and data integrity. - Partner with Security and Compliance to embed DevSecOps and Policy-as-Code practices into CI/CD and Kubernetes admission controllers. - Establish and lead a FinOps program, optimizing compute, storage, and data transfer costs while ensuring transparency through chargeback/showback models. - Define cost-to-serve models per service and implement automated guardrails for budgeting and right-sizing. - Integrate cost and performance telemetry into platform dashboards to drive data-informed decision-making. - Partner with Finance to align cloud spend forecasts and track savings initiatives tied to architecture decisions. - Lead and mentor senior engineering managers and principal engineers, building high-performance, high-accountability teams. - Promote a culture of reliability, automation, and continuous improvement through transparent metrics and post-incident learning loops. - Establish governance rhythms such as architecture councils, platform guilds, and reliability reviews to align technical direction and eliminate systemic friction. - Collaborate closely with Risk, Compliance, and Security to uphold standards like PCI-DSS, SOC2, ISO27001, LGPD, and GDPR within cloud and platform operations.

• Own the technical direction, reliability, and long-term evolution of aggregation systems spanning both batch and real-time processing. • Guide architectural decisions for distributed data processing, storage, and retrieval systems with strict correctness, latency, and availability requirements. • Ensure aggregation systems consistently meet SLAs for data freshness, accuracy, and uptime across detection and messaging use cases. • Act as a senior technical steward for systems whose failure or inaccuracy would have direct customer and security impact. • Manage, mentor, and develop a team of software engineers working across batch and streaming aggregation systems. • Foster a culture of technical excellence, operational ownership, and continuous improvement.

Role Description At PracticeTek, you’ll get to: - Shape the future of healthcare with technology solutions that are always evolving to meet real-world needs. - Team up with passionate, talented people who care deeply about patients, providers, and making a difference. - See your impact firsthand by helping practices deliver care that’s simpler, smarter, and better for everyone. - Grow your career and your skills in an environment that celebrates curiosity, collaboration, and continuous development. Qualifications - 8+ years’ experience in data engineering, with 2–3 years managing engineering teams. - Proven leadership experience in Snowflake data warehousing, data modeling, ETL frameworks (dbt, Airflow), and cloud environments (AWS, Azure). - Strong understanding of business analytics and reporting, with a demonstrated ability to translate business requirements into technical solutions. - Track record of successfully delivering large-scale data projects on time with technical excellence. - Expertise in the areas of data governance, data privacy, information security, and compliance. - Outstanding written and verbal communication, stakeholder management, and strategic thinking capabilities. Requirements - Lead, mentor, and grow the data engineering team, fostering professional growth and a culture of excellence. - Define and execute the data engineering roadmap, emphasizing Snowflake infrastructure and integration solutions. - Oversee architectural decisions, project timelines, and high-quality technical implementations. - Ensure reliability, scalability, and security of Snowflake data solutions and integrations. - Promote cross-functional collaboration to prioritize data projects aligned with strategic goals and initiatives. - Establish data governance, quality frameworks, and compliance standards (HIPAA, SOC2). Benefits - Comprehensive health, dental, and vision coverage options. - Wellness benefits that support lifestyle, behavioral health, and overall wellbeing. - Flexible paid time off, sick time, and 10 company-paid holidays. - 401(k) plan with company match to help you build your future. - Culture Committee driving initiatives that spark connection, fun, and belonging.

• Lead Software Engineering within CoLab’s Product Development org • Guide and grow our teams to improve quality, development speed and confidence • Partner with Product to drive roadmap planning, resource allocation, and feasibility tradeoffs • Ensure compliance with key standards (e.g. SOC 2, ISO) through a mature SDLC • Set and manage operating metrics (e.g. uptime, velocity, quality, cost) that drive business value • Help scale our team with world-class talent and build functions that support career growth across the team • Collaborate across departments — from GTM to CS — to support technical enablement and customer success • Join CoLab’s Senior Leadership Team and help shape company strategy across all areas of the business