Application Developer

Acumenian (now Consertus)

United States

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Acumenian (now Consertus) is seeking a talented Application Developer to architect, build, and maintain high-performing Python applications deployed on Google Cloud Platform. You will leverage Claude Code and AI tools to accelerate delivery, ensure code quality, and implement robust test suites.

The role blends solid software engineering with AI-native development workflows, event-driven cloud architecture, and a strong security-first mindset.

Qualifications

  • Bachelor's degree in CS or related field, or equivalent professional experience.
  • 3–5 years of professional software development experience building enterprise applications.
  • Strong proficiency with Python 3.10+ and FastAPI.
  • Experience with asynchronous programming and API design.
  • Experience deploying containerized applications in Google Cloud Platform environments.
  • Hands-on experience with Cloud Run, GKE, Cloud Functions, BigQuery, Pub/Sub, Firestore, Cloud SQL, and Cloud Storage.
  • Experience implementing automated testing frameworks with pytest, unittest, or similar tools.
  • Familiarity with CI/CD pipelines and DevOps methodologies.
  • Experience working with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.

Responsibilities

  • Design, develop, test, deploy, and maintain Python applications on GCP using Cloud Run, GKE, Cloud Functions, and Compute Engine.
  • Build scalable microservices and event-driven solutions with Pub/Sub, Cloud Tasks, and Eventarc.
  • Develop RESTful APIs with FastAPI and gRPC with strong authentication and versioning.
  • Write clean, maintainable Python code following PEP 8 and static typing.
  • Participate in design sessions, sprint planning, code reviews, and architecture discussions.
  • Develop IaC solutions using Terraform.
  • Configure CI/CD pipelines with Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions.
  • Implement monitoring, logging, tracing, and alerting with Cloud Monitoring/Logging.
  • Support data platforms like BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage.
  • Assist in secure cloud architecture practices including IAM and least-privilege access controls.

Skills

Python
FastAPI
API development
Asynchronous programming
Cloud Platform (GCP)
CI/CD & DevOps
AI-assisted development tools

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field

Tools

Cloud Run
GKE
Cloud Functions
BigQuery
Pub/Sub
Firestore
Cloud SQL
Cloud Storage
pytest
unittest
CI/CD tooling
Terraform

Job description

Consertus is an AI-native global capital program management and advisory firm that combines deep industry expertise with advanced digital capabilities to deliver smarter, faster, and more sustainable outcomes. Headquartered in Miami, Florida, and supported by a team of more than 1,500 professionals, we help clients plan, deliver, and optimize complex capital programs across the full project lifecycle.

Our integrated capabilities span advisory, digital solutions, engineering and design, and program delivery, enabling organizations to navigate complexity, mitigate risk, and achieve strategic objectives. We serve a diverse range of industries, including aviation, transportation, transit, water, healthcare, energy, education, government, commercial real estate, life sciences, and technology.

At Consertus, we believe our people are our greatest strength. We foster a collaborative, flexible, and inclusive environment where individuals can grow, develop their skills, and make a meaningful impact. Together, we're transforming the way the world is planned, built, and delivered.

Learn more about how Consertus is creating lasting value for clients, communities, and our people at www.consertus.com .

About this Role:

We are seeking a talented, proactive, and security-conscious Application Developer to join our IT organization. In this role, you will architect, build, optimize, and maintain high-performance Python applications deployed entirely across Google Cloud Platform (GCP).

You will leverage Claude Code as your primary AI-assisted development environment to accelerate delivery cycles, enhance code quality, generate comprehensive test suites, and perform rigorous post-build security validations.

The ideal candidate blends solid software engineering fundamentals with modern AI-native development workflows, event-driven cloud architecture, and a strong security-first mindset.

Key Responsibilities:

Design, develop, test, deploy, and maintain resilient Python applications utilizing Cloud Run, GKE, Cloud Functions, and Compute Engine.

Build scalable microservices and event-driven solutions using Cloud Pub/Sub, Cloud Tasks, and Eventarc.

Develop and maintain RESTful APIs using FastAPI and gRPC services with robust authentication, versioning, and performance optimization.

Write clean, maintainable, modular Python code following PEP 8 standards, static typing practices, and software engineering best practices.

Participate in technical design sessions, sprint planning, code reviews, and architecture discussions.

Develop and maintain Infrastructure as Code (IaC) solutions using Terraform.

Configure and support CI/CD pipelines utilizing Cloud Build, Artifact Registry, Cloud Deploy, and GitHub Actions.

Implement monitoring, logging, tracing, and alerting strategies using Google Cloud Monitoring, Cloud Logging, and Cloud Trace.

Support enterprise data platforms including BigQuery, Cloud SQL, Firestore, Cloud Spanner, and Cloud Storage.

Assist in implementing secure cloud architecture practices through IAM, workload identity federation, and least-privilege access controls.

AI-Assisted Development

Utilize Claude Code and modern AI coding assistants to accelerate development, refactoring, testing, and documentation efforts.

Design effective prompts and workflows that produce reliable, scalable, and production-ready code.

Review, validate, and enhance AI-generated output to ensure quality, maintainability, and security.

Generate automated testing frameworks, OpenAPI documentation, and developer resources using AI-assisted tools.

Support adoption of AI-enabled software development life cycle (SDLC) best practices across the technology organization.

Security & Compliance

Conduct application security assessments using tools such as Bandit, Semgrep, Snyk, and SonarQube.

Implement OWASP-aligned secure coding standards, input validation, and secure API development practices.

Manage secrets and credentials through Google Secret Manager and Cloud KMS.

Ensure solutions comply with applicable enterprise security standards and regulatory requirements including SOC 2, ISO 27001, and HIPAA when required.

Qualifications/Requirements:

Required: Fully bilingual in English and Spanish, with professional fluency in speaking, reading, and writing both languages.

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience.

3 - 5years of professional software development experience building enterprise applications.

Strong proficiency with Python 3.10+ and modern application development frameworks including FastAPI.

Experience with asynchronous programming, object-oriented design principles, and API development.

Experience designing and deploying containerized applications in Google Cloud Platform environments.

Hands-on experience with Cloud Run, GKE, Cloud Functions, BigQuery, Pub/Sub, Firestore, Cloud SQL, and Cloud Storage.

Experience implementing automated testing frameworks with pytest, unittest, or similar tools.

Familiarity with CI/CD pipelines and DevOps methodologies.

Experience working with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.

Preferred Qualifications:

Experience integrating enterprise platforms such as Workday, Salesforce, Deltek Vantagepoint, or Ironclad.

Familiarity with Vertex AI, Document AI, Gemini APIs, LangChain, LlamaIndex, or other AI/ML development frameworks.

Experience with container security, Binary Authorization, Kubernetes security controls, and runtime monitoring solutions.

Contributions to open-source projects, Python packages, or cloud-native development tools.

Strong understanding of secure software development practices and application security principles.

Working Hours:

  • Full Time; Hybrid or Remote, depending on proximity to a local office.

Equal Employment Opportunity Statement:

Consertus is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and identities, and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, or any other protected status.

Sounds like your next step?

Meet the team

Acumenian (now Consertus)

Consertus is an AI-native global capital program management and advisory firm that combines deep industry expertise with advanced digital capabilities to deliver smarter, faster, and more sustainable outcomes. Headquartered in Miami, Florida, the company supports more than 1,500 professionals who help clients plan, deliver, and optimize complex capital programs across the full project lifecycle. Their integrated capabilities span advisory, digital solutions, engineering and design, and program delivery, enabling organizations to navigate complexity, mitigate risk, and achieve strategic objectives. Consertus serves a diverse range of industries including aviation, transportation, transit, water, healthcare, energy, education, government, commercial real estate, life sciences, and technology.

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