Annapolis Junction, MD

Engineer Jobs in Annapolis Junction, MD

60 jobs found

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Today

Python Software Engineer – Containerized Mission Applications

CTRL + LLC Annapolis Junction, MD

Annapolis Junction, MD

Today

$105 - $116/hr Full time Backend Developer Python Application Security

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Job Description

Support mission-focused software applications as a Python Software Engineer on-site in Annapolis Junction, MD.

Responsibilities

Develop, test, and troubleshoot Python applications
Integrate software with COTS, GOTS, and open-source products
Deploy containerized services to Kubernetes using Helm
Work with MongoDB and RabbitMQ
Support logging and monitoring using Elastic Stack, Prometheus, and Grafana

Requirements

5+ years of relevant experience
Bachelor's degree in Computer Science or a related discipline from an accredited institution
Proficiency with Linux command-line tools
Bash scripting
Recent Python 3 development experience
Experience with RabbitMQ or similar messaging frameworks
Experience with MongoDB or other NoSQL databases
Experience with Docker, containerd, and Kubernetes
Experience with Helm chart development
Hands-on use of GitLab CI and CI/CD practices
Experience with Elastic Stack, Prometheus, and Grafana
Experience with Git

Preferred Qualifications

PostgreSQL or other SQL databases
Infrastructure as Code (IaC) and Ansible
Rust or willingness to learn
Jira and Confluence

Work Location & Arrangement

Location: Annapolis Junction, MD
Work arrangement: On-site
All positions require in-person work
Applicants must live within commuting distance of the listed work location
Limited telework may be possible on some roles, but regular on-site attendance is required
These are not fully remote positions

Clearance

Required clearance: TS/SCI with polygraph

Compensation

Hourly pay: USD 105 - 116
Approximate pay range: $105.92–$116.95 per hour
Employer 401(k) contribution: additional (10% non-elective)
Three compensation models: Max Rate, With Bonus, or With Bonus and PTO
Lower end reflects a no-bonus option with five weeks of PTO
Upper end reflects the Max Rate option without bonus or PTO
PTO and bonuses depend on the selected model and role eligibility

Benefits

Employer 401(k) non-elective contribution (10%)
Employer-paid life insurance and short- and long-term disability insurance
Medical, dental, and vision coverage options
Employee Assistance Program
Professional development and certification reimbursement
Technology and ergonomic equipment reimbursement (subject to eligibility)
Referral and retention bonus programs (subject to eligibility)
Paid social and team events

Required Application

Apply with a resume that highlights relevant experience

Technologies: Python, Python 3, COTS, GOTS, Kubernetes, Helm, MongoDB, RabbitMQ, Elastic Stack, Prometheus, Grafana, Linux command-line tools, Bash, Docker, containerd, GitLab CI, CI/CD, Git, NoSQL databases

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1d ago

Java Software Engineer

Shield Consulting Solutions Annapolis Junction, MD

Annapolis Junction, MD

1d ago

$140k - $150k/yr Full time Backend Developer Developer Elasticsearch

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Job Description

Shield Consulting Solutions is hiring a Java Software Engineer to support a Java-based, Agile software development effort in Annapolis Junction, MD. This role focuses on building and enhancing Java applications while expanding hands-on experience with modern Java technologies including Quarkus and PrimeFaces.

You will collaborate within an Agile team to plan, track, and manage software activities and requirements, contribute to quality control on deliverables, and partner with customers to clarify requirements, constraints, and performance needs.

Responsibilities

Join a Java-focused software development effort using Java as the primary language.
Work in an Agile environment to assign, track, and manage software activities and requirements within the team.
Expand Java skills and apply technologies such as Quarkus and PrimeFaces.
Design or implement complex algorithms while meeting strict timing, system resource, or interface constraints; perform quality control on team products.
Implement recommendations to improve documentation and software development process standards.
Confer with the customer as a team to derive software requirements and to gather project limitations and capabilities, performance requirements, and interfaces.
Coordinate software system installation and monitor equipment functions to ensure operational specifications are met.

Requirements

7 years of experience as a software engineer.
Bachelor’s degree in a technical discipline.
4 additional years of software engineering experience may be substituted for a degree.
Active TS/SCI w/Polygraph REQUIRED.

Technologies

Java
Quarkus
PrimeFaces
PostGreSQL
ElasticSearch aggregations
SQL

Desired Experience

DBA development
Java
SQL and query creation
PostGreSQL
ElasticSearch aggregations

Benefits

25 days PTO
11 paid holidays
100% employer-paid healthcare for employees and dependents, available day 1
8% 401(k) employer match with immediate vesting

Location: Annapolis Junction, MD (onsite). Telework: None.

Salary: USD 140,000 - 150,000 per year.

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4d ago

Machine Learning Engineer

Nyla Technology Solutions Annapolis Junction, MD

Annapolis Junction, MD

4d ago

$154k - $183k/yr Full time Artificial Intelligence Data Analytics Data Integration

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Job Description

The AI/ML Engineer will design, build, test, and productize machine learning algorithms and models, supporting end-to-end lifecycle ownership from data and training through deployment, monitoring, and continuous improvement. This onsite role in Annapolis Junction, MD also includes integration oversight and serves as a primary point of contact for AI-related initiatives, with possible leadership of distributed technical teams.

Key Responsibilities

Design, create, test, and productize AI/ML algorithms and models to address complex business challenges.
Develop models that support continuous learning and predictive analysis aligned with business logic and customer requirements.
Manage the full model lifecycle, including data pipeline interaction and architecture design, continuous training, deployment, scheduling, monitoring, and performance tuning based on iterative user feedback.
Provide system integration oversight across AI/ML capabilities and related environments.
Act as a primary point of contact for AI-related initiatives.
May lead geographically diverse technical teams.

Required Qualifications

Active security clearance at the TS/SCI polygraph level is required.
Hands-on experience working with various machine learning libraries, packages, and frameworks.
Proficiency in statistical analysis, data selection, application of metrics, and presentation of results.
Practical understanding of model deployment, scheduling, monitoring, retraining, and system integration oversight.
Familiarity with concepts across application development, infrastructure management, data engineering, and data governance.
Exceptional analytical, problem-solving, and interpersonal skills to collaborate with stakeholders and lead distributed teams.
Education and experience: Bachelor’s Degree in Computer Science/Computer Engineering/Software Engineering (or related technical discipline) plus 2+ years of professional software engineering experience, OR High School Diploma/GED plus 5+ years of hands-on technical software development experience in lieu of a degree.

Technology Stack

Python
Java
C
R

Desired Skills

Expert knowledge of multiple programming languages, including Python, Java, C, or R.

Compensation and Benefits

Salary: USD 154,000 - 183,000 per year.

Top-of-market compensation and benefits package
Nyla FLEX program (custom-tailored benefits)
4 weeks of Annual Leave plus 11 holidays, with an additional day of Annual Leave for each year at the company
Flexibility to cash out annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week)
Option to earn 1.3 times your hourly rate once you work over 1880 hours on contract
Option to buy additional annual leave for a total of 6 weeks of annual leave (up to 240 hours of leave plus 11 holidays)
Paid anniversary leave
Option to scale down to 30-32 hours while still receiving top-tier Nyla benefits
Health care (medical, dental, vision) 100% covered by the company
10% 401k matching with full vesting day 1
$5,000 per year for Professional Development to be used toward fees, tuition, or time off
Student loan repayment program
8 hours of volunteering annually

About Nyla Technology Solutions

Nyla Technology Solutions delivers AI, Data Science, and Software Engineering services for the U.S. Government. The company is headquartered in Columbia, Maryland and supports a forward-thinking approach to technology development and delivery.

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4d ago

Artificial Intelligence/Machine Learning Engineer 1

Akina, Inc. Annapolis Junction, MD

Annapolis Junction, MD

4d ago

$170k - $208k/yr Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

Build and deploy language-model powered AI systems in a hands-on, production-focused role on an onsite team in Annapolis Junction, MD. Akina supports employees with strong benefits, paid time off, and training support, while you design, fine-tune, evaluate, and integrate AI/ML algorithms into scalable cloud environments. This position supports work across model architecture, data pipelines, and metrics, with collaboration across data science, product, and engineering.

Responsibilities

Design, create, test, and productize AI/ML algorithms to address business challenges and support customer requirements.
Work across model architecture, data pipeline interactions, and metrics, including application, interpretation, and presentation.
Build, train, and fine-tune machine learning models, with a focus on language models.
Apply best practices for model training, tuning, and optimization to improve performance.
Design and implement solutions that enhance model performance.
Conduct rigorous model evaluation, including performance analysis and benchmarking.
Perform error analysis, debugging, and model diagnostics to support quality and reliability.
Use cloud-based AI platforms, especially AWS SageMaker, to deploy and scale models.
Integrate machine learning models into production environments, ensuring seamless integration with other systems.
Contribute to the full stack for AI model-based applications, including front-end and back-end components.
Collaborate with software engineers to build scalable, efficient deployment pipelines.
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
Document workflows, model design processes, and technical specifications; select appropriate datasets; perform statistical analysis.
Run standard test and evaluation protocols and provide system integration oversight.
Train and retrain systems when needed, including deployment, scheduling, monitoring, and iterative improvement; may lead geographically diverse teams as a primary POC for AI-related matters.

Requirements

Knowledge and experience with language models, including Marian and multi-lingual model development.
Knowledge of computational linguistics.
Experience with open-source model libraries.
Experience with Deep Learning Containers (DLC) and GPU technologies.
Strong programming experience in Java, C, and C++.
Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
Hands-on experience with AWS tools including SageMaker, Lambda, EC2, and S3.
Experience developing full-stack software applications (JavaScript, Python, Java, etc.).
Solid understanding of data structures, algorithms, and system design.
Extensive experience in machine learning model development, including NLP and natural language processing.
Experience with model evaluation, optimization, and performance monitoring.
Experience with model versioning and management using tools such as MLFlow or Git.
Familiarity with containerization tools such as Kubernetes.
Two (2) years of applied machine learning experience in programs and contracts of similar scope, type, and complexity required.
A B.S. degree in advanced math (e.g., calculus, linear algebra, or Bayesian statistics), computer science, or related STEM discipline from an accredited institution required.
Three (3) years of additional machine learning experience may be substituted for a bachelor’s degree.

Technologies

Marian, TensorFlow, PyTorch, Hugging Face
AWS SageMaker, AWS Lambda, AWS EC2, AWS S3
MLFlow, Git, Kubernetes
Deep Learning Containers (DLC), GPU technologies
Java, C, C++, JavaScript, Python
NLP, Large Language Models (LLMs)

Benefits

24 days PTO accrued annually
11 federal holidays
401(k) 100% vested on your start date
Company direct contribution worth 10% of your salary
Akina covers 100% of healthcare costs for employees; 50% toward dependents
Educational assistance toward college classes
Training and certification support for job-related needs

Security Clearance

TS/SCI with Polygraph required within 7 years

Desired Skills

Willingness to support occasional on-call duties
Experience in a government or defense-related environment
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)

Salary range: $170,000 to $208,000 per year. The displayed range is a likely range for this position and is not a guarantee; compensation will be set based on experience, geographic location, and possible contractual requirements.

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6d ago

GPU/FPGA Software Engineer

Everwatch Annapolis Junction, MD

Annapolis Junction, MD

6d ago

$60 - $105/hr Full time Data Processing Developer Engineering

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Job Description

Join Everwatch in Annapolis Junction, MD onsite and build end-to-end software that turns vision concepts into production-ready systems. This role combines acceleration pipeline engineering with modern tooling and an agile delivery mindset, helping teams design efficient, effective solutions for high-throughput, low-latency workloads.

What you will do

Develop complete software solutions from initial vision through production in an agile environment
Design and implement high-throughput, low-latency acceleration pipelines using FPGAs or GPUs
Apply current architectural approaches along with open-source frameworks and tools to deliver end-to-end systems to clients
Analyze the target environment to ensure solutions align with current architecture and operating constraints while supporting future enhancements
Identify and implement system improvements as designs evolve
Collaborate across system development efforts to drive progress

What you bring

Experience architecting and implementing high-throughput, low latency acceleration pipelines using FPGAs (RLT/HLS) or GPUs (CUDA/HIP)
Proficiency with C++, Python, and Docker
Strong understanding of GPU microarchitecture, including warp/wavefront scheduling, shared memory utilization, and occupancy optimization
FPGA experience with SystemVerilog, Verilog, or VHDL, plus C/C++ for HLS
Experience with AMD/Xilinx Vivado and Vitis, or Intel Quartus Prime
Experience integrating high-speed IPs, including PCIe Gen 4/5, DDR4/5, HBM, and 100G Ethernet
TS/SCI clearance with a polygraph
Bachelor’s degree and 20+ years of software engineering experience, or 24+ years of software engineering experience in lieu of a degree

Nice to have

Experience with Agentic AI
Experience with Machine Learning
Experience with Kubernetes or Docker Swarm
Experience with Agile

Security and clearance

Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance with polygraph is required.

Salary: USD 60 to 105 per hour.
Location: Annapolis Junction, MD onsite.

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6d ago

Software Engineer (SWE) – Skill Level 2 (18309)

Wyetech Annapolis Junction, MD

Annapolis Junction, MD

6d ago

$76 - $97/hr Full time Backend Developer APIs Application Security

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Job Description

Support the Integration Services team building and sustaining mission-critical software and cloud-based solutions in an onsite role in Annapolis Junction, MD.

Responsibilities

Analyze user requirements to derive software design and performance requirements
Design and code new software or modify existing software to add features and functionality
Develop, maintain, and enhance complex software systems for mission-critical applications
Debug defects and correct errors in existing software
Integrate software into new or modified systems and operating environments
Develop or implement algorithms to meet or exceed system performance and functional standards
Modify software to correct errors, adapt to new hardware, or improve performance
Design and develop software systems using scientific analysis and mathematical models to predict and measure outcomes
Build software solutions by analyzing performance standards, data usage, workflows, and operational requirements
Review software components for adherence to design requirements and document testing results
Recommend improvements to software architecture, development practices, and system performance
Develop and enhance software components using Python and Kotlin/Java
Implement application logic, integration components, and backend services
Troubleshoot software defects and optimize application performance
Create reusable, maintainable software components
Integrate Python and Kotlin/Java applications with databases, search technologies, and cloud services
Review and test components to ensure functionality and reliability
Document software functionality, technical dependencies, and configuration requirements
Develop and support software applications operating within AWS cloud environments
Use Terraform for infrastructure provisioning, configuration management, and deployment automation
Integrate AWS services with enterprise applications and software components
Troubleshoot cloud deployment, configuration, and integration issues
Support infrastructure changes needed for software enhancements and operational improvements
Collaborate with systems and cloud engineers to align solutions with infrastructure and performance requirements
Optimize cloud resource utilization, reliability, and operational efficiency
Document cloud infrastructure configurations, dependencies, and deployment procedures
Develop, configure, integrate, and maintain Elasticsearch and/or OpenSearch solutions
Support integration with distributed search and analytics platforms
Develop and optimize search queries, indexing, and data retrieval processes
Troubleshoot search integration failures, configuration issues, and performance bottlenecks
Maintain technical documentation for search configurations, interfaces, and integration procedures
Develop data queries for databases and data repositories
Design and implement complex database interfaces and data access components
Support integration between applications and distributed data repositories
Evaluate data storage, retrieval, and processing requirements
Troubleshoot database connectivity, data access, and integration issues; optimize queries to improve performance
Collaborate with systems engineers and database personnel to resolve technical issues
Assist with developing and executing test procedures; verify adherence to design requirements
Analyze software performance and identify optimization opportunities
Design and implement algorithms with timing, resource, or interface constraints
Perform quality control on software deliverables; implement corrective actions
Validate modifications, integrations, and deployment activities
Document test procedures, results, deficiencies, and corrective actions
Support improvements to reliability, maintainability, and operational performance
Serve as a team lead when assigned; oversee software development activities and delivery within project/process constraints
Confer with systems and hardware engineers to derive requirements and identify technical limitations
Evaluate system capabilities, performance requirements, and software interfaces
Coordinate installation activities and monitor system functionality against operational specifications
Support software integration, testing, and operational validation
Provide technical guidance to team members; collaborate to resolve complex integration challenges
Write, review, and maintain software and system documentation; keep accurate records of software changes, test results, and troubleshooting activities
Perform additional software engineering responsibilities as required to support mission objectives

Requirements

Demonstrated software development experience using Python
Experience developing applications using Kotlin and/or Java
Hands-on experience using Terraform for infrastructure provisioning, configuration, and automation
Experience developing, configuring, integrating, or supporting Elasticsearch and/or OpenSearch
Experience developing and supporting applications within Amazon Web Services (AWS)
Experience designing, developing, maintaining, and enhancing complex software systems
Experience integrating software components into new or modified systems and operating environments
Experience developing software interfaces and data queries for databases or data repositories
Experience troubleshooting software defects, integration failures, and performance issues
Experience developing or implementing algorithms to meet functional and performance requirements
Experience analyzing software requirements and translating them into technical designs
Experience reviewing and testing software components to ensure adherence to documented requirements
Experience developing and maintaining software and system documentation
Experience collaborating with systems engineers and technical personnel to resolve software integration issues
Experience supporting software deployment, configuration, and operational maintenance activities
Strong analytical, troubleshooting, communication, and problem-solving skills
Ability to work independently and collaboratively within a software engineering team
Active TS/SCI clearance with Full Scope Polygraph completed within the past seven (7) years
U.S. Citizenship required
Must maintain applicable security clearance and program access requirements throughout employment
Bachelor's degree in Computer Science or a related discipline from an accredited college or university
Four (4) additional years of Software Engineering experience on projects with similar software processes may be substituted for the bachelor's degree requirement
Min experience for this level: 4 years
Level-appropriate experience substitution options listed: 14 years or 18 years of qualifying experience depending on how the program defines experience (as provided)
Additional listed data environment exposure: distributed, scalable Big Data stores (NoSQL) such as HBase, CloudBase/Accumulo, Google Bigtable, or comparable technologies
MapReduce programming models (e.g., Hadoop, Hive, Pig)
HDFS experience
Data serialization formats such as JSON and/or BSON

Technologies

Python
Kotlin
Java
AWS
Terraform
Elasticsearch
OpenSearch
RESTful APIs
HBase
CloudBase/Accumulo
Google Bigtable
NoSQL
MapReduce
Hadoop
Hive
Pig
HDFS
JSON
BSON
Hadoop Distributed File System (HDFS)

Benefits

SEP IRA automatic contribution of 20% of each employee's gross compensation, fully vested from day one
PTO plan of up to 200 hours annually
Choice of medical plan options (some with Health Savings Account (HSA))
Vision and dental
Life and AD&D benefits
Short and long-term disability
Hospital indemnity, accident, and critical illness insurances
Optional identity theft and legal protection services
Employee referral bonus eligibility up to $10,000
Mobility among Wyetech-supported contracts
Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
Team-building events throughout the year (e.g., monthly lunches, summer company picnic, annual holiday party)
Two complimentary branded clothing orders annually

Pay

USD 76.95–97.25 per hour (general guideline; not a guarantee of compensation)

Additional Contract-Specific Big Data Experience (Where Applicable)

SWE2 staffing identifies an additional cloud and Big Data requirement involving three (3) years of demonstrated experience with:

Distributed, scalable Big Data stores (NoSQL) such as HBase, CloudBase/Accumulo, Google Bigtable, or comparable technologies
MapReduce programming models such as Hadoop, Hive, or Pig
Hadoop Distributed File System (HDFS)
Data serialization formats such as JSON and/or BSON

Applicability to this opening should be confirmed (listed as applicable to 15% of the SWE2 labor category staffing)

Clearance

Required clearance: Active TS/SCI with Full Scope Polygraph
Polygraph requirement: must possess an in-scope Full Scope Polygraph completed within the past seven (7) years

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7d ago

Cognitive AI Engineer SWE

Bigbear.ai Annapolis Junction, MD

Annapolis Junction, MD

7d ago

Full time Backend Developer Analytics Artificial Intelligence

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Job Description

BigBear.ai is seeking a Cognitive AI Engineer SWE to design and maintain full-stack applications and data pipelines that reconcile requested versus deployed infrastructure in mission-focused environments.

Responsibilities

Design, develop, and maintain full-stack applications spanning frontend and backend systems
Build and maintain ETL workflows that reconcile requested infrastructure with what is actually deployed
Develop scalable and reliable data ingestion and data processing capabilities
Use AI and machine learning tools to accelerate data analysis, prototype solutions, and improve engineering workflows
Integrate data products and analytical results into user-facing applications and visualizations
Collaborate with full-stack engineers, data specialists, subject matter experts, and organizational stakeholders
Help identify discrepancies, policy violations, and deviations from approved infrastructure best practices
Drive features from initial concept through implementation, testing, deployment, and ongoing improvement

Requirements

Active TS/SCI clearance with polygraph
Strong proficiency in Python
Experience developing data pipelines, ETL workflows, or data processing applications
Experience with Kafka and streaming analytics
Working knowledge of relational databases
Demonstrated ability to use AI/ML tools to accelerate data analysis and engineering solution development
Ability to collaborate effectively across technical and mission-focused teams
Bachelor’s degree in a technical discipline, or additional relevant experience in lieu of a degree

What We’d Like You to Have

Hands-on experience supporting production cyber network operations capabilities
Experience analyzing cybersecurity datasets, including network traffic and operating system events
Understanding of end-to-end SIGINT collection and analysis systems
Familiarity with ClickHouse
Exposure to related domains such as dataflow, data science, mission analytics, or operational technology environments

Technologies

Python
Kafka
Streaming analytics
Relational databases
ETL
AI
Machine learning

Experience Levels

Level 0: Bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of a degree
Level 1: 3+ years of experience and a bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of a degree
Level 2: 8+ years of experience and a bachelor’s degree, or 4 additional years of relevant experience in lieu of a degree
Level 3: 12+ years of experience and a bachelor’s degree, or 10+ years of experience and a master’s degree