Sr Software Engineer - Lead

Holistic Partners, Inc; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Holistic Partners, Inc. in Atlanta seeks an experienced Software Engineer Senior Lead to drive the design, development, and delivery of enterprise-grade cloud-native solutions within a modern Azure ecosystem.

This hands-on leadership role focuses on backend engineering, scalable microservices, enterprise APIs, and data pipelines, with secondary contributions to front-end applications. You will establish engineering standards, mentor teams, and influence architecture across cloud, data platforms,

Qualifications

• Bachelor's degree in CS, Software Engineering, or related field.
• 10+ years of enterprise software engineering experience.
• Expert-level Java and Spring Boot experience, Python and FastAPI.
• Proven experience building microservices, REST APIs, and integration services.
• Hands-on experience with Azure cloud-native services and architecture patterns.

Responsibilities

• Design and build cloud-native applications and scalable microservices using Java, Spring Boot, Python, and FastAPI.
• Develop secure REST APIs and event-driven services for internal and external consumers.
• Lead technical design and architectural guidance for large-scale enterprise platforms.
• Create reusable frameworks, libraries, and engineering standards.
• Translate business requirements into technical solutions with product, security, and architecture teams.

Skills

Leadership

Communication

Agile/Scrum

Cloud architecture

Education

Bachelor's degree in Computer Science or related

Master's degree (preferred)

Tools

Java

Spring Boot

Python

FastAPI

Azure

Terraform

AKS

GitHub Actions

Job description

• We are seeking an experienced Software Engineer Senior Lead to drive the design, development, and delivery of enterprise-grade, cloud-native solutions within a modern Azure ecosystem. This is a hands-on technical leadership role focused primarily on backend engineering; scalable microservices, enterprise APIs, distributed systems, and data engineering with secondary contributions to modern front-end applications (React, Vue.js, Next.js, Tailwind CSS).
• In this role, you will establish engineering standards, mentor development teams, and influence architectural decisions across application development, cloud infrastructure, data platforms, and modernization initiatives. Success will be measured by platform reliability, scalability, security, cost efficiency, engineering velocity, and business impact in highly regulated environments.

What you will be doing

• Design and build cloud-native applications and scalable microservices using Java, Spring Boot, Python, and FastAPI.
• Develop secure REST APIs and event-driven services for internal and external consumers.
• Lead technical design and architectural guidance for large-scale enterprise platforms.
• Create reusable frameworks, libraries, and engineering standards.
• Design multi-region, highly available architectures with disaster recovery and business continuity.
• Translate business requirements into technical solutions with product, security, and architecture teams.
• Build and operate solutions using Azure-native services: AKS, Container Apps, Function Apps, Application Gateway, API Management, Key Vault, Storage, Monitor, Azure SQL, Cosmos, Application Insights, and Log Analytics.
• Design secure network architectures (VNets, Subnets, Private DNS, Private Endpoints).
• Implement Infrastructure as Code with Terraform and Terraform Enterprise (TFE).
• Establish cloud governance, security baselines, and operational best practices.
• Lead cloud modernization and application migration efforts.

API & Integration Engineering

• Design, secure, monitor, and manage enterprise APIs through Azure API Management.
• Implement API lifecycle management: versioning, throttling, quotas, rate limiting, caching, and policy enforcement.
• Define enterprise API standards and governance frameworks.

Microservices, Observability & Reliability

• Apply patterns including service discovery, circuit breakers, distributed caching, event-driven architecture, and fault tolerance.
• Implement observability: centralized logging, distributed tracing, APM, metrics, alerting, and health dashboards.
• Define SLOs and SLIs; optimize performance, scalability, and latency.
• Build scalable, metadata-driven data pipelines using Azure Data Factory and Databricks.
• Develop ingestion and transformation pipelines across ADLS, Databricks, Cosmos DB, and enterprise/third-party systems.
• Optimize Databricks jobs and clusters for performance and cost.
• Implement data replication, backup, and retention strategies.

Security & Identity

• Design authentication and authorization using OAuth 2.0, OIDC, Microsoft Entra ID, and JWT frameworks.
• Implement RBAC, secrets and certificate management, and secure API authentication.
• Ensure compliance with security, audit, and regulatory requirements.
• Build and maintain CI/CD pipelines with GitHub Actions.
• Manage source control, branching, release management, and deployment automation.
• Implement automated testing, security scanning, and quality gates.
• Mentor teams and promote best practices in software engineering excellence and DevOps.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 10+ years of enterprise software engineering experience.
• Expert-level Java and Spring Boot, Python and FastAPI.
• Proven experience building microservices, REST APIs, and integration services.
• Hands-on expertise with Azure cloud-native services and architecture patterns.
• Experience with Terraform/TFE, AKS, Container Apps, and containerized workloads.
• Strong knowledge of Azure API Management and API governance.
• Experience with observability, distributed tracing, and monitoring.
• Proficiency with GitHub, GitHub Actions, and CI/CD.
• Experience with OAuth2, OIDC, Microsoft Entra ID, and identity providers.
• Experience with cloud-native storage (Cosmos DB, Postgres, Azure SQL).
• Experience with disaster recovery, geo-redundancy, and high availability.
• Strong analytical, communication, and leadership skills; Agile/Scrum experience.

Preferred Qualifications

• Master's degree in Computer Science, Software Engineering, or related field.
• Experience in Financial Services, Banking, Payments, FinTech, or other regulated industries.
• Experience with Azure Data Factory, ADLS, and Databricks.
• Knowledge of DDD, Event-Driven Architecture, CQRS, and SRE practices.