Jobs at Encora

Design, build, and operate scalable data pipelines and lakehouse solutions using Azure Databricks, DBT, Snowflake and Python. Lead migrations, implement data quality and observability, support production SLAs, and mentor junior engineers while ensuring governance, cost optimization, and reliability.

Build and maintain reusable, scalable frontend components and design system modules using JavaScript, TypeScript, and modern frameworks. Develop schema-driven, CMS-integrated interfaces; translate designs into responsive, pixel-perfect experiences; and implement automated testing. Optimize performance, accessibility, maintainability, and cross-browser compatibility while collaborating across teams and navigating complex codebases independently.

Provides workstation and user technical support, resolves hardware and system incidents, installs and configures computers and peripherals, maintains operating systems and equipment inventories, evaluates workstation performance, documents procedures, supports procurement, and contributes to service improvement initiatives.

Build and maintain reusable, scalable frontend components and design system modules using JavaScript, TypeScript, and modern frameworks. Develop schema-driven, CMS-integrated interfaces, translate designs into responsive cross-browser experiences, and implement automated testing. Optimize performance, accessibility, maintainability, and scalability while collaborating across teams and navigating complex codebases independently.

Develop and maintain macOS applications using Swift and Apple frameworks. Build authentication, identity, and API integrations while applying Apple security best practices. Troubleshoot application and authentication issues, collaborate with engineering and security teams, and use AI-assisted development tools to improve productivity. Requires strong experience with Swift, Xcode, macOS or iOS development, authentication protocols, REST APIs, testing, CI/CD, and Agile methodologies.

Develop and maintain macOS applications using Swift, Xcode, SwiftUI, and AppKit. Build authentication and identity capabilities using OAuth 2.0, OIDC, JWT, REST APIs, and MFA. Apply Apple security practices, troubleshoot application and API issues, collaborate across engineering and security teams, and use AI-assisted development tools to improve productivity.

Develop and maintain macOS applications using Swift, Xcode, SwiftUI, and AppKit. Integrate authentication, identity, REST APIs, and backend services while implementing Apple security best practices. Troubleshoot application and authentication issues, collaborate with engineering and security teams, and use AI-assisted development tools. The role requires expertise in OAuth 2.0, OIDC, JWT, MFA, Keychain, code signing, CI/CD, testing, and Agile methodologies.

Designs and maintains scalable AWS and Snowflake data platforms and pipelines using Python, Airflow, dbt, Terraform, and Docker. Responsibilities include API and SDK integrations, data modeling, governance, quality monitoring, observability, CI/CD, cost and performance optimization, and architectural guidance. The role also supports Snowflake transformations, AWS services, Spark-based processing, and reliable production operations.

Lead application observability and reliability initiatives across Azure environments. Implement and optimize APM, monitoring, alerting, dashboards, distributed tracing, structured logging, SLIs, SLOs, and production readiness reviews. Collaborate with engineering teams on incident analysis, root-cause investigation, operational risk reduction, and application scalability. Maintain observability solutions using Azure Monitor, Application Insights, New Relic, and Log Analytics, while supporting CI/CD environments and cloud-native distributed systems.

Senior Site Reliability Engineer responsible for application observability and production readiness in Azure environments. Designs and optimizes monitoring, alerting, dashboards, APM instrumentation, distributed tracing, structured logging, SLIs, SLOs, and operational health metrics. Supports incident analysis, root-cause investigations, production readiness reviews, and reliability improvements. Collaborates with global engineering teams and requires hands-on experience with Azure IaaS, DBT, Databricks, SQL, Azure Monitor, Application Insights, New Relic, Log Analytics, Azure DevOps, and GitHub Actions.

Designs and operates application observability and reliability solutions in Azure environments. Responsibilities include implementing APM, monitoring, dashboards, alerting, distributed tracing, structured logging, SLIs, SLOs, and production readiness reviews. The role supports incident analysis, root-cause investigations, reliability improvements, and collaboration with engineering teams. Required technologies include Azure Monitor, Application Insights, New Relic, Log Analytics, DBT, Databricks, SQL, Azure DevOps, and GitHub Actions.

Senior Site Reliability Engineer responsible for application observability, APM, monitoring, alerting, dashboards, distributed tracing, structured logging, and production readiness in Azure environments. The role defines SLIs and SLOs, improves incident response and reliability, supports root-cause analysis, and partners with engineering teams on scalable, production-ready applications. Requires hands-on experience with Azure, DBT, Databricks, SQL, Application Insights, New Relic, Azure Monitor, KQL, and CI/CD tools.

Senior Site Reliability Engineer responsible for application observability, APM, monitoring, alerting, dashboards, distributed tracing, structured logging, and production readiness in Azure environments. The role defines SLIs and SLOs, supports incident analysis, improves telemetry, and partners with engineering teams to enhance reliability and scalability. Requires hands-on DBT, Databricks, and SQL experience, plus Azure Monitor, Application Insights, New Relic, Log Analytics, CI/CD, and cloud-native architecture expertise.

Build and maintain Azure cloud infrastructure, automate deployments with Terraform and related IaC tools, develop CI/CD pipelines, implement monitoring and alerting, manage disaster recovery and security practices, and create Python-based workflow integrations. The role requires production DevOps or cloud engineering experience, Linux expertise, Azure infrastructure knowledge, networking and security familiarity, and experience with Agile delivery. AWS experience is preferred.

Design and maintain CI/CD pipelines, developer portals, and internal platform tooling. Manage Kubernetes infrastructure and Infrastructure as Code, support AI-assisted development governance, implement observability and reliability improvements, lead infrastructure migrations, and create documentation and developer guides.

Leads full-stack engineering projects through hands-on development and coordination of internal and external resources. Provides production support for financial and operational systems, designs architectures, develops APIs and frameworks, and builds CI/CD pipelines. Performs data analysis and reconciliations, while integrating LLMs and AI-assisted workflows into internal tools, research pipelines, and developer tools.

Develop and support financial systems, dashboards, trade feeds, risk platforms, operational tools, and accounting systems. Design and implement APIs, frameworks, architectural improvements, and CI/CD pipelines. Analyze and reconcile data, lead engineering contributions, coordinate internal and external resources, and integrate LLMs and AI-assisted workflows into internal tools, research pipelines, and developer tooling.

Develop and maintain scalable Java and Spring Boot backend applications, including cloud-native microservices deployed on AWS ECS. Build REST APIs, integrate DynamoDB and SQL data stores, and collaborate with cross-functional teams to deliver secure, performant software. The role also involves applying clean-code principles, troubleshooting, Agile development, version control, and potentially Docker, CI/CD, event-driven architectures, monitoring, Linux, and JIRA.

Develop and maintain full-stack applications with JavaScript, TypeScript, Node.js, React, and Next.js. Build scalable REST, GraphQL, and gRPC services; create reusable UI components; integrate third-party APIs and headless CMS platforms; implement automated testing; and collaborate across teams using modern CI/CD, code quality, personalization, and performance practices.

Develop and maintain dbt models, transform raw data, apply data modeling and testing best practices, optimize performance, and troubleshoot data pipelines. Collaborate with analysts and stakeholders, participate in code reviews, document solutions, and support data integrity and availability. The role requires SQL, dbt, Git, data warehousing, ETL knowledge, strong analytical skills, advanced English, and a relevant bachelor’s degree.