Top 1 Lead developer Jobs in Albuquerque, Nm

Software Development Lead Associate
Peraton —Albuquerque, NM
- $86,000 - $138,000 a year
- Remote
- Mid-level
- 3 years
- Master's degree
- Health savings account
- Paid holidays

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Software Development Lead Associate

Peraton -
Albuquerque, NM

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Job Details

$86,000 - $138,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

AI models
Software engineering
SAFe
Databricks
Data Integration (Data management)
Engineering development testing
Cloud data warehouses
AI platforms (beyond public GPTs)
Snowflake
Machine intelligence
Model deployment
Scalability
Software testing
Developing and maintaining backend systems
Agile software development
Machine learning (ML) fundamentals
AI-driven automation
Cross-functional collaboration
MLOps
Data analytics technologies
Cross-functional communication

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton is seeking a Software Development Lead Associate to support the Fraud and Prevention Services (FPS) program as a key member of a high-performing technical team.

We are looking for a motivated, forward-thinking engineer who is excited to contribute to new initiatives, adapt to evolving requirements, and learn emerging tools and technologies that enhance the value we deliver to our clients.

In this role, you will:

Support the evaluation and integration of AI capabilities to enhance data quality, fraud analytics, and automation within the Databricks environment.
Collaborate with data scientists to operationalize machine learning models, ensuring robust, scalable deployment within AWS environments.
Design, develop, test, and deploy ETL solutions
Collaborate closely with experienced engineers to modernize the edits ingestion pipeline, leveraging Java, Python, and Big Data technologies within an AWS cloud environment.
Work with core AWS services.

Qualifications

Mandatory Qualifications:

Bachelor’s degree with 5 years of experience, Master’s degree with 3 years of experience.
Strong hands-on experience developing, testing, and supporting ETL processes.
Proficiency in Java and J2EE architecture, including frameworks such as Spring Boot and Hibernate.
Experience implementing or supporting AI workflows and AI development of Agents and MCP Servers using Python libraries.
Practical experience using AI tools to accelerate development, testing, and deployment by rapidly transforming requirements into production‑ready code.
Practical experience integrating ML-driven components into production pipelines or data engineering workflows.
Hands‑on experience working with Snowflake and Databricks platforms, including data engineering workflows, optimizing queries and pipelines, managing scalable data solutions, and integrating cloud‑based analytics into enterprise environments.
Background in backend development with a focus on building scalable, secure server-side applications.
Ability to work effectively within a collaborative, team-oriented environment.
Strong communication skills for coordinating with internal development teams and external stakeholders.
Familiarity with Agile and SAFe methodologies.
Must have US Citizenship or Must have been a resident of the U.S. for 3 of the last 5 years.
Must have ability to obtain a Public Trust clearance.

Preferred Qualifications:

Experience in healthcare industry analytics and data, preferably Medicare or Medicaid.
Data Science experience and Programming languages: Python or R
Knowledge of containerization and orchestration tools such as Docker, Helm, and Kubernetes
Experience with Test Rails
Experience deploying AI Agents and MCP Servers using AWS services.
Familiarity with Databricks Genie environment
Understanding of Responsible AI principles and applying them in regulated environments such as healthcare or federal programs.

Details

Target Salary Range: $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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