Jobs at Taller

Design and implement secure, scalable identity and access management services using C#, .NET, Node.js, TypeScript, and Azure. Lead authentication, authorization, passwordless, MFA, and passkey initiatives; integrate OAuth 2.0, OpenID Connect, and SAML; secure healthcare access workflows; and use GenAI tools to accelerate development. Collaborate cross-functionally, review code, resolve complex IAM issues, document solutions, and mentor engineers.

Own full-stack engineering initiatives spanning frontend, backend, REST APIs, automated testing, CI/CD, performance, scalability, and production debugging. Build features for underwriters and internal customers using JavaScript, Node.js, and Python. Explore LLM-powered underwriting workflows, collaborate cross-functionally, shape technical direction, and mentor less experienced engineers.

Provides technical leadership for production software systems, including architecture, engineering standards, delivery governance, production support, incident response, and operational metrics. Leads Agile planning, release readiness, risk tracking, and stakeholder communication while balancing feature delivery, technical debt, and platform improvements. Coaches engineers, drives accountability, and applies modern technologies across .NET, Python, Azure, microservices, CI/CD, infrastructure as code, and AI-enabled development workflows.

Build and scale the Spark web platform using React, TypeScript, Node.js, PostgreSQL, and Azure AKS microservices. Responsibilities include frontend and backend development, API and third-party integrations, architecture contributions, deployment decisions, authentication, testing, documentation, and AI-assisted development. The role requires autonomous ownership, strong communication, and collaboration within a small remote team.

Design, deploy, and operate production Kubernetes clusters; build Python automation; integrate Prometheus monitoring and Ceph storage; migrate services to cloud-native patterns on AWS/Azure; troubleshoot distributed systems; document runbooks; collaborate across teams and participate in on-call incident response.

Designs, builds, and supports scalable data pipelines, distributed processing systems, data models, frameworks, and governance solutions. Uses SQL, Python, Spark, Databricks, and Azure services to enable analytics and machine learning. Leads technical design reviews, improves CI/CD and DataOps practices, troubleshoots major incidents, collaborates on data strategy, and mentors engineers.

Designs and operates reliable AWS infrastructure, Kubernetes clusters, CI/CD pipelines, Helm charts, Terraform environments, and Istio service mesh capabilities. The role focuses on automation, secure networking, scalability, developer self-service, deployment efficiency, and incident support while partnering with engineering teams. Candidates need 5+ years of platform, DevOps, or SRE experience and strong expertise in AWS, Kubernetes, ArgoCD, GitHub Actions, Helm, Terraform, Istio, and Python or Bash scripting.

Lead the design and operation of resilient CI/CD pipelines and infrastructure for .NET Core REST APIs and legacy WCF/SOAP services. Responsibilities include containerization, Kubernetes orchestration, blue-green deployments, automated rollbacks, security scanning, monitoring, certificate lifecycle management, load balancing, failover, and secure OAuth/MFA integrations across Azure and on-premises environments.

Designs, operates, and secures CI/CD pipelines and hybrid infrastructure for .NET Core REST APIs and legacy WCF/SOAP services. Responsibilities include automated testing and deployments, blue-green releases, rollback, containerization, monitoring, logging, certificate and secrets management, load balancing, failover, and IIS/Windows Server administration. The role also establishes deployment standards, incident response procedures, and runbooks across Azure and on-premises environments.

Own the technical direction and architecture of the company’s data platform across Snowflake, dbt, Airflow, Terraform, Python, and SQL. Establish standards for data quality, testing, observability, governance, and deployment; design semantic layers supporting underwriting, finance, and executive analytics; and enable ML and AI initiatives. The role mentors engineers, leads design reviews, drives cross-functional technical alignment, and guides ambiguous platform initiatives through production.

Lead functional design and configuration of Workday Financial modules, translate finance requirements into Workday solutions, build business process configurations and reports, support UAT/testing and deployments, provide post-go-live support, and partner with finance stakeholders on process improvements and compliance.

Supports client-facing strategy and transformation engagements through structured business and market analysis, quantitative modeling, and actionable recommendations. Develops client-ready PowerPoint presentations, facilitates client meetings and workshops, manages project workstreams, validates assumptions with stakeholders, and identifies commercial opportunities. Requires strong problem-solving, storytelling, presentation, Excel, PowerPoint, and English communication skills.

Leads client-facing strategy and transformation workstreams from analysis through executive recommendations. Responsibilities include stakeholder workshops, quantitative and qualitative analysis, executive presentations, project planning, risk and opportunity identification, and cross-functional solution development. The role also mentors junior consultants, manages client relationships, and drives outcomes independently in complex environments.

Leads client-facing analytics and experimentation engagements, designing controlled experiments and measurement strategies, overseeing execution and validation, and translating quantitative findings into executive recommendations. Manages stakeholders, aligns analytical work with business goals, ensures timely, high-quality deliverables, and mentors consulting teams to strengthen experimentation capabilities.

Designs and analyzes business experiments, validates data, measures impact, and translates findings into actionable recommendations. The consultant collaborates with stakeholders to define objectives and success metrics, creates visualizations and client-facing presentations, and communicates complex results through clear data storytelling. Responsibilities include ongoing monitoring, reporting, and strategic business analysis using SQL and advanced Excel.

Designs, builds, and supports scalable enterprise data pipelines, models, frameworks, and platform tooling using Databricks, Spark, Python, SQL, and Azure. Leads technical design reviews, optimizes distributed workloads, implements CI/CD and infrastructure automation, improves governance and reliability, performs incident root-cause analysis, mentors engineers, and collaborates on long-term data strategies supporting analytics and machine learning.

Build and scale the Spark web platform across React and TypeScript frontends, Node.js backend services, APIs, integrations, and PostgreSQL data systems. Contribute to Azure AKS microservices deployment, architecture, and operational decisions. Integrate HubSpot, Bullhorn ATS, and Microsoft Entra, while using AI-assisted development tools. Work autonomously on a remote team and deliver clean, testable, maintainable, well-documented code.

Build and maintain automated UI, API, integration, functional, regression, load, and performance testing frameworks for card-related systems. Develop C#/.NET test scenarios, validate REST migrations from SOAP/WCF, test authentication and authorization flows, and verify OpenAPI contracts, adapters, file interfaces, and data integrity. Integrate automation with CI/CD pipelines and containerized cloud environments. Support observability, code reviews, shift-left testing, TDD, debugging, and mentoring across engineering and QA teams.

Senior AWS data engineer responsible for designing and operating AWS-based data pipelines and storage, integrating AWS systems with Snowflake, and implementing Snowflake AI components. Own data mart, data warehouse, and data lake design; develop data models and end-to-end process flows; produce initial architecture drafts for review; collaborate with architects and stakeholders; and deliver senior-level data engineering solutions for handoff to operations.

Design and build full‑stack solutions integrating Dynamics 365 with the Power Platform and Azure services. Develop CI/CD pipelines, custom connectors, reusable components, and secure backend services. Implement integrations and agentic AI workflows using Azure OpenAI, Data Factory, Logic Apps, and ensure ALM and security best practices.