Nexaminds

Role Description Nexaminds is looking for a Tech Lead – Backend Engineering to lead the design, development, and evolution of scalable cloud-native backend solutions. The ideal candidate has deep expertise in Java, Python, and Google Cloud Platform (GCP), along with proven experience leading engineering teams, defining technical architecture, and delivering high-performance distributed systems. This is a hands-on technical leadership role focused on backend engineering, AI integration, application security, and engineering excellence, while mentoring developers and driving adoption of AI-assisted development practices. Location: Cincinnati, OH Qualifications - 7–10+ years of professional experience in backend software engineering, with at least 1–2+ years leading teams, mentoring developers, and making critical architectural decisions. - Deep backend expertise in both Java and Python alongside advanced knowledge of Google Cloud Platform (GCP) architectures. - Production experience designing robust data pipelines and integrating Large Language Models (LLMs) or AI/ML components into backend systems. - Hands-on experience championing AI-assisted development tools like GitHub Copilot to maximize team efficiency and maintain clean code standards. - A proactive security mindset with experience identifying, prioritizing, and guiding teams to remediate complex codebase and dependency vulnerabilities. - Exceptional communication skills to bridge the gap between business requirements and technical execution, aligning seamlessly with product, data science, and security teams. Requirements - Serve as the technical point of contact for the engineering team, providing architectural guidance, conducting design reviews, and mentoring senior engineers. - Design and oversee the deployment of highly scalable, secure microservices, APIs, and data pipelines using Java, Python, and GCP. - Establish best practices for daily workflows, ensuring the team effectively leverages GitHub Copilot to accelerate delivery without compromising quality. - Own the application security posture by identifying vulnerabilities and prioritizing technical debt alongside feature delivery. - Collaborate closely with product managers and cross-functional stakeholders to translate complex business logic into scalable technical solutions. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law - Access to mentorship and tons of opportunities to learn and level up.

Role Description Nexaminds is looking for a Data Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment. Qualifications - 5+ years Data Engineering in production Azure environments — Python, SQL, Spark - Python: production-grade OOP, config-driven design, no hardcoding, type annotations - PySpark / Spark: DataFrames, schema enforcement, partitioning, performance tuning - SQL: advanced window functions, CTEs, incremental load patterns, Delta Lake DML (MERGE, UPDATE, DELETE) - Azure Data Factory: parameterised pipelines, linked services, triggers, IR configuration - Azure Databricks: notebooks, Jobs API, DLT, cluster configuration, Unity Catalog access - ADLS Gen2, Delta Lake / Parquet format, Medallion store patterns - Testing discipline: pytest, unit and integration tests, data quality assertions - Git: feature branching, PR workflow, commit discipline, code review Requirements - Nice to have: - Scala: Spark Dataset API, typed transformations, sbt build tooling - Healthcare data formats: EDI X12 (837/835/834), FHIR R4 resource parsing - Delta Lake: schema evolution, time travel, OPTIMIZE, VACUUM, Z-ordering - dbt (data build tool) for SQL transformation layering and lineage documentation - Databricks Asset Bundles (DABs) for pipeline-as-code deployment - DP-203 Azure Data Engineer Associate certification Job Duties - Design and build the core reusable ingestion engine in Python and ADF — parameterised, config-driven, zero hardcoding - Build Python ingestion modules: file readers, schema validators, format handlers (CSV, EDI X12, FHIR R4, Parquet, JSON) - Implement PySpark / Scala transformation components for batch and streaming at scale on Azure Databricks - Write config-driven SQL data models for Bronze, Silver, Gold medallion transformations - Develop metadata-driven validation layer: null checks, type enforcement, range rules, referential integrity - Build reusable utility libraries: logging, error handling, retry logic, dead-letter routing - Implement Databricks notebooks and DLT (Delta Live Tables) pipelines for declarative transformations - Build and maintain the onboarding template library v1 and v2 — parameterised, documented, production-ready - Onboard Provider, Claims, Member, Eligibility, and Reference data domains using the framework - Write unit tests, integration tests, and data contract tests (pytest, Great Expectations or equivalent) - Optimise Spark jobs: partitioning, caching, broadcast joins, Z-ordering on Delta tables - Participate in code review, follow GitHub branching standards, and contribute to documentation Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law

Role Description Nexaminds is looking for a Mid Backend Engineer to join our growing engineering team. In this role, you'll help build, maintain, and scale high-performance backend systems and modern cloud applications. You'll collaborate closely with senior engineers to: - Develop reliable cloud-native solutions - Create scalable data pipelines - Support AI and LLM integrations - Continuously improve application security while leveraging modern AI-assisted development tools Qualifications - 3–5 years of professional experience as a Backend Engineer or Software Engineer - Strong hands-on experience developing backend applications using Java and Python - Experience building applications on Google Cloud Platform (GCP) or another major cloud platform - Solid understanding of backend architecture, distributed systems, REST APIs, and microservices - Experience building, maintaining, and troubleshooting scalable backend services and data pipelines - Exposure to or strong interest in Large Language Models (LLMs) and AI/ML integration within backend applications - Experience using AI-assisted development tools such as GitHub Copilot to improve productivity and code quality - Good understanding of Application Security (AppSec) principles and secure coding best practices - Experience writing unit and integration tests - Familiarity with Git, code reviews, CI/CD pipelines, and Agile development methodologies - Strong communication and collaboration skills in cross-functional engineering teams Requirements - Nice to Have: - Experience working with Kubernetes and Docker - Knowledge of Infrastructure as Code (Terraform or similar) - Experience with messaging/event-driven architectures (Kafka, Pub/Sub, RabbitMQ) - Experience integrating AI services or machine learning APIs - Familiarity with monitoring and observability tools - Experience optimizing cloud infrastructure costs and performance Job Duties - Design, develop, test, and deploy scalable backend services, APIs, and microservices using Java, Python, and Google Cloud Platform (GCP) - Build, optimize, and maintain reliable cloud-based data pipelines and backend infrastructure - Support integrations with Large Language Models (LLMs) and AI-powered backend services - Utilize GitHub Copilot and modern development practices to accelerate software delivery while maintaining high code quality - Identify, troubleshoot, and resolve backend performance issues and production incidents - Assist in identifying, prioritizing, and remediating application security vulnerabilities - Write clean, maintainable, and well-tested code following engineering best practices - Participate in code reviews and contribute to continuous improvement of development standards - Develop and maintain technical documentation for backend services and system architecture - Collaborate with product managers, DevOps engineers, and cross-functional teams to deliver high-quality software solutions Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law - Access to mentorship and tons of opportunities to learn and level up

Role Description Nexaminds is looking for a Senior Data Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment. Location: MEXICO, CANADA Qualifications - 5+ years Data Engineering in production Azure environments — Python, SQL, Spark - Python: - production-grade OOP, config-driven design, no hardcoding, type annotations - PySpark / Spark: - DataFrames, schema enforcement, partitioning, performance tuning - SQL: - advanced window functions, CTEs, incremental load patterns, Delta Lake DML (MERGE, UPDATE, DELETE) - Azure Data Factory: - parameterised pipelines, linked services, triggers, IR configuration - Azure Databricks: - notebooks, Jobs API, DLT, cluster configuration, Unity Catalog access - ADLS Gen2, Delta Lake / Parquet format, Medallion store patterns - Testing discipline: - pytest, unit and integration tests, data quality assertions - Git: - feature branching, PR workflow, commit discipline, code review - Nice to have: - Scala: Spark Dataset API, typed transformations, sbt build tooling - Healthcare data formats: EDI X12 (837/835/834), FHIR R4 resource parsing - Delta Lake: schema evolution, time travel, OPTIMIZE, VACUUM, Z-ordering - dbt (data build tool) for SQL transformation layering and lineage documentation - Databricks Asset Bundles (DABs) for pipeline-as-code deployment - DP-203 Azure Data Engineer Associate certification Requirements - Design and build the core reusable ingestion engine in Python and ADF — parameterised, config-driven, zero hardcoding - Build Python ingestion modules: file readers, schema validators, format handlers (CSV, EDI X12, FHIR R4, Parquet, JSON) - Implement PySpark / Scala transformation components for batch and streaming at scale on Azure Databricks - Write config-driven SQL data models for Bronze, Silver, Gold medallion transformations - Develop metadata-driven validation layer: null checks, type enforcement, range rules, referential integrity - Build reusable utility libraries: logging, error handling, retry logic, dead-letter routing - Implement Databricks notebooks and DLT (Delta Live Tables) pipelines for declarative transformations - Build and maintain the onboarding template library v1 and v2 — parameterised, documented, production-ready - Onboard Provider, Claims, Member, Eligibility, and Reference data domains using the framework - Write unit tests, integration tests, and data contract tests (pytest, Great Expectations or equivalent) - Optimise Spark jobs: partitioning, caching, broadcast joins, Z-ordering on Delta tables - Participate in code review, follow GitHub branching standards, and contribute to documentation Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros. You'll have access to mentorship and tons of opportunities to learn and level up. Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!

Role Description We are seeking an experienced engineer with deep expertise in Azure Cosmos DB to help design, optimize, and modernize enterprise applications. This role is heavily focused on Cosmos DB architecture, data modeling, migrations, and performance optimization rather than traditional data engineering. - Design and implement scalable solutions using Azure Cosmos DB. - Lead migrations from Microsoft SQL Server to Azure Cosmos DB. - Design document models, partition key strategies, indexing policies, and schema evolution. - Optimize Cosmos DB performance, scalability, throughput (RU/s), and cost. - Implement Change Data Capture (CDC) solutions using Debezium. - Design and support event-driven architectures, including event schema design and versioning. - Collaborate with engineering teams to build reliable, cloud-native applications. Qualifications - Deep hands-on experience with Azure Cosmos DB. - Strong experience with Microsoft SQL Server. - Experience migrating relational databases to Cosmos DB. - Expertise in document database design, partitioning strategies, indexing policies, performance tuning, RU optimization, and consistency models. - Experience with CDC and Debezium. - Strong knowledge of Event-Driven Architecture and event schema design. Requirements - Nice to have: HCM, payroll, benefits, or tax domain experience. - Familiarity with Azure Service Bus, Azure Container Apps, or Terraform. - Background working in a formal modernization or re-platforming program. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law - Access to mentorship and tons of opportunities to learn and level up.

Role Description Nexaminds is looking for a Senior Backend Engineer to join a high-impact engineering team focused on building scalable backend systems, APIs, and data-driven solutions. This role combines strong backend engineering expertise with modern cloud, data, and AI-enabled architectures, including agentic workflows and API platform development. Location: MEXICO Eligibility Notice: This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. Qualifications - Strong backend engineering experience with a primary expertise in Go (Golang). - Proven, hands-on experience building agentic solutions and working deeply with agentic tooling and frameworks. - Strong experience with API platforms (REST APIs, SDKs, HTTP, OAuth2/OIDC, and OpenAPI 3.0). - Experience with microservices, PaaS, high availability cloud environments (Azure and/or GCP), and Rancher/Kubernetes. - Experience with data platforms/warehouses (e.g., Databricks). - Deep familiarity with agentic and AI-enabled API patterns, including RAG, autonomous agents, and model orchestration. - Exposure to Model Context Protocol (MCP), Agent2Agent (A2A), and Agent2Payments (A2P) is a plus. - Strong engineering practices: agile methodologies, DevOps best practices, test-driven development, CI/CD build & deploy systems, and modern code repositories. - Strong communication skills and the ability to collaborate proactively across infrastructure and engineering teams. Requirements - Design, build, integrate, test, deploy, and support scalable APIs using our API Platform, API Style Guide, and underlying infrastructure, primarily leveraging Go (Golang) as our core language. - Architect and implement production-ready agentic solutions, utilizing advanced agentic tooling and autonomous workflows. - Partner with business stakeholders and clients to translate business needs into clear technical requirements and high-quality API solutions. - Collaborate with product managers, engineers, data scientists, and security to evaluate requirements, conduct feasibility assessments, analyze existing components, and develop integration plans. - Employ an iterative approach to capability development that incorporates requirements refinement, user feedback, lessons learned, and other inputs. - Create level-of-effort estimates, define task breakdowns, and drive delivery across milestones. - Build strong partnerships across application, business, and infrastructure teams to ensure solutions are scalable and operationally sound. - Create and maintain partner enablement assets, such as API guides and packages (e.g., Postman collections) for new feature launches. - Create, update, and maintain external API documentation on our developer site. - Apply an operational mindset, including SLOs, incident response readiness, cost/performance optimization, and security-by-design. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros. You'll have access to mentorship and tons of opportunities to learn and level up. Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!

Role Description Nexaminds is looking for a Data Platform Architect to join a large-scale platform modernization program focused on decomposing a complex enterprise monolith into modern, distributed services. The ideal candidate has hands-on experience modernizing enterprise applications, migrating data from Microsoft SQL Server to Azure Cosmos DB, designing event-driven architectures, and defining scalable data models for distributed systems. - Lead the definition of data ownership, SQL-to-NoSQL migration strategies, event schema standards, and cross-domain data architecture. - Partner closely with architects and engineering teams to enable a seamless transition from a legacy monolithic platform to a cloud-native, microservices-based architecture. Qualifications - Data architecture experience, including work on large-scale legacy systems with significant relational complexity. - Hands-on experience untangling shared or cross-domain data models. - Direct experience migrating from relational (Microsoft SQL Server) to document (Azure Cosmos DB) data models at production scale. - Strong event-driven architecture experience, including event schema design, schema versioning, consumer contracts, and evolution strategy at scale. - Solid understanding of CDC (Change Data Capture) patterns and tooling (Debezium or equivalent). - Ability to set architecture standards that distributed teams implement independently. - Fluency working with application architects and engineers. - Familiarity with Azure Service Bus, Azure Container Apps, or Terraform. Requirements - Nice to have: HCM, payroll, benefits, or tax domain experience. - Background working in a formal modernization or re-platforming program. Job Duties - Analyze the monolith database to identify domain boundaries, shared data, and extraction sequencing. - Define SQL Server → Cosmos DB migration patterns and standards. - Design the data ownership and access model for cross-domain entities. - Define canonical event schemas for domain extraction and own the evolution and governance strategy. - Maintain reporting continuity throughout extraction. - Partner with the data lake architect to align on CDC output contracts and event schema standards. - Identify data-level risks in the extraction sequence early. - Contribute to decomposition planning sessions with data-grounded input. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law - Access to mentorship and opportunities to learn and level up.

Role Description Nexaminds is looking for a Lead Software Engineer to lead a high-impact team responsible for internal developer platform initiatives and developer productivity across the organization. The ideal candidate combines strong engineering leadership with hands-on technical expertise in platform engineering, cloud infrastructure, developer tooling, and AI-assisted development. This is a player-coach role, requiring active contribution to architecture, coding, technical decision-making, and platform delivery while driving team performance, roadmap execution, and developer experience improvements at scale. Qualifications - 8+ years of professional software engineering experience. - Experience leading technical initiatives and mentoring engineers. - Proven ability to balance technical leadership responsibilities with hands-on development. - Experience owning and executing technical roadmaps aligned with business and engineering objectives. - Strong problem-solving skills and the ability to independently research, diagnose, and resolve complex technical challenges. - Strong experience with C# / .NET development. - Strong experience designing and operating solutions within Microsoft Azure environments. - Experience implementing Infrastructure as Code (Terraform or equivalent). - Experience designing, building, and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, or similar technologies. - Experience making architectural and technical decisions at the platform or team level. - Experience using Python for automation, scripting, or platform tooling. - Experience with Azure PaaS services including Container Apps, Functions, Service Bus, Key Vault, and API Management. - Experience with Docker and containerization technologies. - Strong understanding of microservices architecture and distributed systems. - Strong communication and collaboration skills with the ability to work effectively across teams. Requirements - Nice to have experience with MCP (Model Context Protocol) and agentic developer workflows. - Experience with observability platforms such as OpenTelemetry, Application Insights, Datadog, or similar solutions. - Experience integrating security tooling such as GitHub Advanced Security, SonarQube, or equivalent platforms. - Experience leading CI/CD platform migrations (e.g., Azure DevOps to GitHub). - Public speaking, internal enablement, technical evangelism, or thought leadership experience. - Experience contributing to or maintaining open-source developer platform tooling. Job Duties - Lead and manage a team of engineers focused on Developer Platform and Developer Experience initiatives. - Conduct 1:1 meetings, performance reviews, career development planning, and ongoing coaching to support engineer growth and success. - Hire, onboard, and build a high-performing engineering team while fostering a collaborative and low-ego culture. - Establish clear expectations, provide direct feedback, and address performance challenges constructively. - Own and prioritize the roadmap across Developer Platform and Developer Experience initiatives, balancing investments across Internal Developer Platforms, Infrastructure as Code, CI/CD, observability, AI tooling, and developer productivity programs. - Translate organizational goals, including AI adoption, deployment frequency, pull request cycle time, and developer satisfaction metrics, into actionable team deliverables. - Partner with Application Architecture, engineering leadership, product stakeholders, and cross-functional teams to align platform investments with business objectives. - Communicate roadmap priorities, progress, risks, and trade-offs to leadership and platform stakeholders. - Contribute directly as an engineer by writing code, reviewing pull requests, designing solutions, and collaborating with team members on implementation efforts. - Author and review Architecture Decision Records (ADRs) and technical design proposals. - Participate in complex troubleshooting, incident response, and critical technical initiatives when required. - Maintain sufficient technical depth to make informed architectural and engineering decisions across platform domains. - Deliver and enhance Internal Developer Platform capabilities, including Backstage, Terraform module libraries, CI/CD pipelines, and shared developer tooling. - Drive adoption and effectiveness of AI-assisted development tools across the engineering organization. - Establish measurement frameworks for developer productivity and experience, leveraging data to guide investment decisions and improvements. - Champion paved roads, golden paths, self-service workflows, and platform capabilities that improve developer productivity and reduce cognitive load. - Collaborate with Architecture, Security, and Product Engineering teams to ensure platform solutions meet organizational needs. - Lead office hours, demos, enablement sessions, and adoption initiatives that improve awareness and utilization of platform capabilities. - Represent the team in architecture reviews, technical decision forums, and leadership discussions. - Continuously evolve platform engineering and developer experience strategies to align with emerging AI tooling, platform engineering best practices, and developer productivity trends. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law

Role Description Nexaminds is looking for an Engineering Manager to lead a high-impact team responsible for internal developer platform initiatives and developer productivity across the organization. The ideal candidate combines strong engineering leadership with hands-on technical expertise in platform engineering, cloud infrastructure, developer tooling, and AI-assisted development. This is a player-coach role, requiring active contribution to architecture, coding, technical decision-making, and platform delivery while driving team performance, roadmap execution, and developer experience improvements at scale. Qualifications - 8+ years of professional software engineering experience. - 2+ years of direct people management experience, or equivalent technical leadership experience with demonstrated coaching and people-development responsibilities. - Proven ability to balance engineering leadership responsibilities with hands-on technical contributions. - Experience owning and executing technical roadmaps aligned with business and engineering objectives. - Strong problem-solving skills and the ability to independently research, diagnose, and resolve complex technical challenges. - Strong experience with C# / .NET development. - Strong experience designing and operating solutions within Microsoft Azure environments. - Experience implementing Infrastructure as Code (Terraform or equivalent). - Experience designing, building, and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, or similar technologies. - Experience making architectural and technical decisions at the platform or team level. - Strong people leadership skills, including coaching, performance management, career development, and team building. - Experience with Internal Developer Platforms (Backstage or similar platforms). - Experience defining and measuring developer productivity using frameworks such as DORA, DX Core 4, SPACE, getDX, or similar. - Experience driving adoption of AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar solutions. - Experience using Python for automation, scripting, or platform tooling. - Experience with Azure PaaS services including Container Apps, Functions, Service Bus, Key Vault, and API Management. - Experience with Docker and containerization technologies. - Strong understanding of microservices architecture and distributed systems. - Experience defining OKRs or similar goal-setting frameworks and reporting progress against measurable objectives. - Experience hiring, onboarding, and developing engineering teams. Requirements - Experience with MCP (Model Context Protocol) and agentic developer workflows. - Experience with observability platforms such as OpenTelemetry, Application Insights, Datadog, or similar solutions. - Experience integrating security tooling such as GitHub Advanced Security, SonarQube, or equivalent platforms. - Experience leading CI/CD platform migrations (e.g., Azure DevOps to GitHub). - Public speaking, internal enablement, technical evangelism, or thought leadership experience. - Experience contributing to or maintaining open-source developer platform tooling. Job Duties - Lead and manage a team of engineers focused on Developer Platform and Developer Experience initiatives. - Conduct 1:1 meetings, performance reviews, career development planning, and ongoing coaching to support engineer growth and success. - Hire, onboard, and build a high-performing engineering team while fostering a collaborative and low-ego culture. - Establish clear expectations, provide direct feedback, and address performance challenges constructively. - Own and prioritize the roadmap across Developer Platform and Developer Experience initiatives, balancing investments across Internal Developer Platforms, Infrastructure as Code, CI/CD, observability, AI tooling, and developer productivity programs. - Translate organizational goals, including AI adoption, deployment frequency, pull request cycle time, and developer satisfaction metrics, into actionable team deliverables. - Partner with Application Architecture, engineering leadership, product stakeholders, and cross-functional teams to align platform investments with business objectives. - Communicate roadmap priorities, progress, risks, and trade-offs to leadership and platform stakeholders. - Contribute directly as an engineer by writing code, reviewing pull requests, designing solutions, and collaborating with team members on implementation efforts. - Author and review Architecture Decision Records (ADRs) and technical design proposals. - Participate in complex troubleshooting, incident response, and critical technical initiatives when required. - Maintain sufficient technical depth to make informed architectural and engineering decisions across platform domains. - Deliver and enhance Internal Developer Platform capabilities, including Backstage, Terraform module libraries, CI/CD pipelines, and shared developer tooling. - Drive adoption and effectiveness of AI-assisted development tools across the engineering organization. - Establish measurement frameworks for developer productivity and experience, leveraging data to guide investment decisions and improvements. - Champion paved roads, golden paths, self-service workflows, and platform capabilities that improve developer productivity and reduce cognitive load. - Collaborate with Architecture, Security, and Product Engineering teams to ensure platform solutions meet organizational needs. - Lead office hours, demos, enablement sessions, and adoption initiatives that improve awareness and utilization of platform capabilities. - Represent the team in architecture reviews, technical decision forums, and leadership discussions. - Continuously evolve platform engineering and developer experience strategies to align with emerging AI tooling, platform engineering best practices, and developer productivity trends. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law

Role Description Nexaminds is looking for a Technical Engineering Manager to support a team of engineers within a large-scale modernization program. The ideal candidate has experience leading highly senior engineering teams in AI-assisted development environments, coordinating complex technical initiatives, and driving execution across multiple parallel workstreams. This role combines people leadership, program management, and technical engagement, with responsibility for: - Team health - Delivery visibility - Dependency management - Cross-functional alignment Partnering closely with engineering leadership to ensure successful program execution. Qualifications - 5+ years of engineering experience, including at least 2 years in an engineering management role - Experience managing senior engineers - Strong program coordination skills - Technical depth to understand what teams are building - Clear communicator who can translate between engineering teams and senior leadership - Comfortable in a remote, distributed environment with a high degree of autonomy Nice to have: - Background in .NET / C#, Azure, or distributed systems - Experience on a modernization, migration, or decomposition program - HCM domain experience Requirements - Support, develop, and retain a team of approximately 10 principal-level engineers - Own team health by proactively identifying burnout risks, interpersonal friction, or engagement issues - Partner with the Senior Director on hiring, onboarding, and overall team composition decisions - Maintain delivery visibility across domain teams - Serve as a coordination layer between teams - Help teams stay aligned with program standards - Facilitate team rituals and proactively remove organizational friction - Contribute directly to delivery where skills and bandwidth allow - Stay close to the technical work for informed conversations with engineers and directors Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law You'll have access to mentorship and tons of opportunities to learn and level up.