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Software Development Manager Jobs in Silver Spring, MD

Position Summary We are seeking a skilled Software Developer Engineer to design, develop, and ... Strong knowledge of database management systems and scripting. * Familiarity with version control ...

Overview As a Software Development Architect, you will work with our growing DevSecOps practice ... such as build/release management, CI/CD practices, and test automation. Contributions ...

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Software Development Manager information

See Silver Spring, MD salary details

$82.2K

$146.9K

$184.5K

How much do software development manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for software development manager in Silver Spring, MD is $146,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,500.00 per year, depending on experience, location, and employer.

How does a Software Development Manager typically balance technical leadership with people management responsibilities?

As a Software Development Manager, you’ll find that balancing hands-on technical leadership with people management is a central part of the role. You’ll spend part of your time guiding architectural decisions and overseeing code quality, while also focusing on coaching, mentoring, and supporting your team’s professional growth. Effective delegation, setting clear priorities, and maintaining open communication with both developers and stakeholders are key to managing these dual responsibilities. Many managers also work closely with product managers, QA, and other departments to ensure alignment across projects.

What Does a Software Development Manager Do?

As a software development manager, your primary responsibilities are to oversee software development teams and to act as a liaison between your teams and senior management. You hire and train new staff, manage and evaluate existing developers, provide guidance on the design and implementation of new software applications, and ensure that projects stay on schedule and within budget. You collaborate with upper-level management and your developers to make sure that new and existing software applications meet business objectives.

What does a Software Development Manager do?

A Software Development Manager oversees teams of software engineers to ensure successful planning, development, and delivery of software projects. They coordinate project timelines, allocate resources, and facilitate communication between team members and stakeholders. Additionally, they mentor developers, set technical standards, and help align software initiatives with business objectives. Their role balances technical expertise with leadership and project management responsibilities.

What are the key skills and qualifications needed to thrive as a Software Development Manager, and why are they important?

To thrive as a Software Development Manager, you need a solid background in software engineering, leadership experience, and usually a degree in computer science or a related field. Familiarity with project management tools (like Jira or Trello), version control systems (such as Git), and sometimes certifications like PMP or Scrum Master are highly beneficial. Exceptional communication, problem-solving abilities, and the capacity to motivate and mentor teams are critical soft skills. These competencies ensure successful project delivery, foster team development, and align technical efforts with business goals.

What is the difference between Software Development Manager vs Software Engineer?

AspectSoftware Development ManagerSoftware Engineer
ResponsibilitiesOversees development teams, manages projects, sets strategic goalsDesigns, codes, tests software applications
Required SkillsLeadership, project management, technical expertiseProgramming, problem-solving, technical skills
CredentialsBachelor's or higher in CS or related field, often with experience in managementBachelor's or higher in CS or related field
Work EnvironmentTeam management, collaboration with stakeholdersIndividual or team coding tasks, development environments

The main difference between a Software Development Manager and a Software Engineer lies in their focus and responsibilities. Managers oversee teams and projects, while engineers focus on designing and coding software. Both roles require technical skills, but managers also need leadership and project management abilities.

What are the most commonly searched types of Software Development jobs in Silver Spring, MD? The most popular types of Software Development jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Software Development Manager jobs? Cities near Silver Spring, MD with the most Software Development Manager job openings:
Infographic showing various Software Development Manager job openings in Silver Spring, MD as of June 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $146,901 per year, or $70.6 per hour.

Software Development Manager (AI/ML) with Security Clearance

Anonymous Employer

Herndon, VA

Other

Posted 14 days ago


Job description

We are seeking an expert Software Development Manager / Lead Engineer to spearhead the evolution of an enterprise-wide, data-centric mission management platform. Operating at the intersection of big data, distributed systems, and advanced analytics, you will lead a talented, multi-disciplinary team of Software Developers, ETL Engineers, and Data Scientists. This is a hands-on technical leadership role for an elite engineer who thrives on building scalable architecture from the ground up. You will own the design and implementation of high-performance, distributed web services capable of processing petabyte-scale structured and unstructured data. Your mission is to integrate production-grade Artificial Intelligence and Machine Learning (AI/ML) capabilities into workflows that enable mission users to rapidly access, extract, and exploit critical information. Key Responsibilities
• AI/ML Integration: Drive the seamless integration of state-of-the-art AI/ML models and data science capabilities into a high-availability production environment.
• Architecture & Scalability: Architect, optimize, and enhance microservices-based platforms, ensuring extreme performance, robust security posture, and seamless handling of massive raw data ingest pipelines.
• Hands-on Development & Prototyping: Design, write, and unit-test high-quality code. Build rapid, high-fidelity prototypes to solidify functional requirements and drive technical strategy.
• Technical Leadership & Stakeholder Management: Deconstruct complex technical concepts into discrete development tasks, lead iterative Agile sprints (Scrum/Kanban), and deliver high-impact demonstrations to both technical and non-technical stakeholders.
• Documentation & Governance: Champion the creation of comprehensive technical documentation, application workflow blueprints, and compliance procedures to support program milestones and control gates. Required Experience & Technical Skills:
• Polyglot Backend Expertise: 4–6 years of deep backend proficiency splitting production environments between Python (preferred language) and Java utilizing Object-Oriented Design patterns.
• Modern Frontend Systems: 4–6 years of hands-on experience building sleek, scalable user interfaces using Angular.
• Cloud Architecture & Infrastructure: 6–8 years of expertise designing and deploying secure, enterprise-level architectures within Amazon Web Services (AWS) or equivalent secure government cloud environments.
• Enterprise Search & Analytics: 6–8 years working heavily with massive search engine frameworks such as Elasticsearch, OpenSearch, or Solr/Lucene.
• Databases & Containers: 6–8 years managing a diverse database landscape across both SQL and NoSQL paradigms, paired with deep containerization experience using Docker or Podman.
• Advanced Linux Engineering: 6–8 years of intensive Linux system administration experience, including shell scripting, drive mounting, environment configuration, and memory/process performance diagnostic diagnostics.
• Data Pipelines & AI Foundations: 2–3 years of direct exposure to data science concepts, machine learning development workflows, and 2–4 years of heavy ETL pipeline engineering with massive, messy data sets.
• Agile Workflows: Proven experience leading development sprints using Jira, Confluence, and GitHub/GitLab. Highly Desired (Bonus) Skills:
• Advanced text analytics implementations (e.g., entity extraction, sentiment analysis, document summarization, and categorization).
• Experience evaluating state-of-the-art ML algorithms and building out ML-focused Proof of Concepts.
• Exposure to industry-standard ML and Natural Language Processing (NLP) frameworks like PyTorch, TensorFlow, Keras, spaCy, or NLTK.
• Familiarity with advanced data disciplines like Optical Character Recognition (OCR), Named Entity Recognition (NER), BERT models, image recognition, or fuzzy search indexing.
• Experience utilizing data visualization toolsets (e.g., Pandas, Tableau, D3.js).