Top Software Engineer Jobs in Baltimore, MD

Develop and support software engineering solutions for high-performance computing, large-scale data analytics, and information technology programs. Responsibilities include building Java and Angular applications, designing REST APIs, modernizing applications and databases, deploying containerized microservices, maintaining Kubernetes environments, implementing CI/CD and DevSecOps practices, and supporting Agile development and database operations. An active TS/SCI clearance with polygraph is required.

Develop software for high-performance computing, large-scale data analytics, and advanced information technology programs. Responsibilities include Java software engineering, requirements gathering, workflow documentation, problem solving, and collaboration using tools such as Confluence and JIRA. Preferred experience includes AWS, Maven, GitLab, MapReduce, JUnit, Python streaming, code coverage, and Linux. The role requires an active TS/SCI clearance with polygraph and seven years of software engineering experience.

Develop software for high-performance computing, large-data analytics, and advanced information technology systems. The role requires seven years of software engineering experience on comparable programs and contracts, along with expertise in distributed processing, databases, or scientific computing tools such as Spark, MapReduce, SQL/NoSQL, Pandas, NumPy, or SciPy. An active TS/SCI clearance with polygraph is required.

Develop software for high-performance computing, large-scale data analytics, and advanced information technology systems. The role requires expertise with Spark, MapReduce, SQL or NoSQL, and scientific Python libraries, along with extensive software engineering experience on comparable programs. An active TS/SCI clearance with polygraph is mandatory. A bachelor's degree in computer science or a related field is required, though additional software engineering experience may substitute.

Develops software within full-lifecycle systems engineering environments supporting high-performance computing, large-scale data analytics, and information technologies. Requires experience with Hadoop, Accumulo, AWS, Terraform, Java, and Python. An active TS/SCI clearance with polygraph is mandatory.

Develops software for high-performance computing, large-scale data analytics, and advanced information technology programs. Requires extensive software engineering experience on comparable federal programs, proficiency in Hadoop, Accumulo, AWS, Terraform, Java, and Python, and an active TS/SCI clearance with polygraph.

Develop software using Python and Java, automate processes with Bash, and orchestrate complex workflows with Apache Airflow. Process distributed big data using Apache Spark, manage containerized applications with Docker, containerd, or Podman, and use Git for source control. The role requires Linux command-line expertise and supports high-performance computing, large-scale analytics, and information technology engineering programs. An active TS/SCI clearance with polygraph is mandatory.

Develop software for high-performance computing, large-scale data analytics, and information technology programs. The role requires Java, MapReduce, and cloud experience, along with 14 years of software engineering experience on comparable programs. A bachelor's degree in Computer Science or a related field is required, though additional software engineering experience may substitute. An active TS/SCI clearance with polygraph is mandatory.

Develop software for high-performance computing, large-scale data analytics, and advanced information technology programs. The role requires building solutions with Python, PySpark, and AWS services including Lambda, Glue, and DynamoDB. Candidates must have seven years of software engineering experience on comparable programs, or qualifying additional experience in place of a bachelor’s degree, and hold an active TS/SCI clearance with polygraph.

Develop software for high-performance computing, large-data analytics, and information technology systems using Java, MapReduce, cloud technologies, GhostMachine, and QTA. The role requires a bachelor’s degree in Computer Science or a related field, or four years of comparable software engineering experience. An active TS/SCI clearance with polygraph is required.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Design, develop, test, debug, and deploy secure national-security mission applications. Integrate front-end and back-end systems, collaborate with government developers, follow Agile practices, and maintain performance and security standards for cleared software environments.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Build and maintain scalable, cloud-native APIs and high-value core system components using .NET and related technologies. Lead software architecture and testing discussions, enhance core offerings, collaborate cross-functionally, and ensure quality through code reviews, unit testing, functional testing, telemetry, and performance tuning. Mentor teammates and contribute to continuous technical and process improvement.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Build and ship features for a large-scale Android app using Kotlin and modern Android technologies. Responsibilities include writing tested code, collaborating with product and design teams, improving performance and stability, partnering on APIs and data flows, and participating in code reviews. The role is a full-time, long-term remote contract within the U.S.

Build, test, support, and enhance scalable web applications using Node.js, React, MongoDB, and APIs. Collaborate with cross-functional teams, troubleshoot production issues, contribute to architecture and technical documentation, and lead medium-complexity initiatives. Participate in code reviews, Agile development, on-call support, technical debt reduction, and monitoring. Mentor junior engineers and promote engineering best practices, automated testing, CI/CD, and software quality standards.

Develop and improve MongoDB’s distributed database networking and observability components. Responsibilities include writing production-level C++ code, enhancing performance, availability, scalability, and resource efficiency, integrating observability frameworks, leading medium-sized projects, collaborating across the product lifecycle, and participating in code reviews and technical design. The role requires strong software architecture fundamentals and an interest in networking, observability, and computer systems internals.

Develop and maintain Medicare claims-processing software in a legacy mainframe environment using COBOL and related technologies. Responsibilities include coding, debugging, unit testing, requirements analysis, defect resolution, software installation, technical documentation, and Agile/Scrum collaboration. The developer will support DME contract operations, deliver moderate-complexity solutions, estimate tasks, and coordinate with team members, clients, vendors, and other organizations.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Leads major technical initiatives while designing enterprise identity systems, authorization models, and scalable multi-tenant SaaS architecture. Builds platform components with .NET/C# on AWS, improves data pipelines, resolves complex production issues, and shapes the technical roadmap. Mentors engineers, drives architecture and reviews, coordinates across teams, and supports security, compliance, automation, and continuous platform improvement.

Build full-stack Django applications with a frontend focus, creating intuitive, interactive, and performant data visualizations for complex healthcare pricing data. Collaborate with product and engineering teams to define user experiences, prioritize features, write scalable code, test and debug systems, improve existing functionality, and translate user requirements into technical solutions.

Lead the design, development, deployment, and sustainment of business intelligence, data warehousing, advanced analytics, and AI/MLOps environments. Configure AWS resources, integrate Tableau and Power BI, develop dashboards and APIs, manage NiFi dataflows, and industrialize machine learning models using Docker, Kubernetes, and automated pipelines. Apply prompt engineering to optimize LLM performance and support SIGINT mission requirements.