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Python Software Developer Jobs

Brightline Interactive

Themis Insight

Wolters Kluwer

Onsite

Hybrid

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case. 
 
We are hiring an Application Engineer 4 (DevOps) to work in Laurel, MD. Position location is subject to change based on central MD client's needs.
Required: TS/SCI with a Polygraph 
Description:
We are seeking an experienced engineer to design, implement, and optimize modern development pipelines for web applications built with React/Angular and Python-based backends. In this position, you will focus on enabling fast, reliable, and secure delivery across different environments to include test, staging and production using containerized workflows and automated pipelines. You will also work closely with front-end and back-end team to streamline deployments. 
Essential Duties and Responsibilities: 
<ul>
 <li>Build scalable pipelines for frontend (React/Angular) and backend (Python) </li>
 <li>Implement automated build, test, and deployment workflows </li>
 <li>Manage deployment strategies across different environments </li>
 <li>Design and manage continuous integration &amp; continuous deployment (CI/CD) with AWS services </li>
 <li>Integrate unit, integration and end to end testing into pipelines </li>
 <li>Enable fast, reproducible developer environments utilizing RHEL-based systems •Implement pipeline observability (logs, metrics, alerts) </li>
 <li>Troubleshoot build/deployment issues across environments </li>
 <li>Support secure and compliant deployments in regulated environments</li>
</ul>
Individual Capabilities/Experience Required:
<ul>
 <li>All experience and education will be in a technical field directly related to the labor category being proposed and all diplomas, GED certificates, and degrees will be from accredited institutions. Twelve (12) years minimum experience and a High School Diploma/GED. Ten (10) years minimum experience and an Associate's Degree. Eight (8) years minimum experience and a Bachelor's Degree. Six (6) years minimum experience and a Master's Degree. Four (4) years minimum experience and a Doctorate's Degree.</li>
 <li>Experience with CI/CD tools (GitHub pipelines, Jenkins or similar) </li>
 <li>Deep understanding of pipeline design, caching, parallelization and artifact management </li>
 <li>Experience with Red Hat Enterprise Linux •Experience configuring, troubleshooting, and optimizing Linux-based environments </li>
 <li>Familiarity with system level networking, permissions, and performance tuning </li>
 <li>Experience with implementing and deploying containers within Linux environments </li>
 <li>Experience with Docker/Podman or Docker/Podman Compose </li>
 <li>Knowledge of deploying and tagging to container repositories </li>
 <li>Experience with deploying and managing container platforms</li>
</ul>
Individual Capabilities/Experience Desired:
<ul>
 <li>Experience with AWS services (EC2, S3, RDS, etc) </li>
 <li>Experience deploying and managing applications in AWS environments </li>
 <li>Familiarity with frontend frameworks (React, Angular, Vue.js/Typescript) </li>
 <li>Experience supporting Python-based services (FastAPI, Flask, Django or similar) </li>
 <li>Knowledge of build systems (Npm/yarn, Vite/Webpack, Angular CLI) </li>
 <li>Experience with unit testing (Jest, Pytest) </li>
 <li>Experience with E2E testing (Cypress, Playwright) </li>
 <li>Scripting languages (Python, Bash)</li>
</ul>
Themis Insight has all the PERKS!
You are our most valuable resource — your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. Themis Insight has you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.
<ul>
 <li>Competitive health, dental, and vision plans with 100% paid premiums.</li>
 <li>401k: We contribute 6% even if you don't!</li>
 <li>Time Off: 11 standard holidays, and 25 days of PTO</li>
 <li>Career Development: Get career counseling and individualized career development plans, including education and training.</li>
 <li>Employee referral bonuses for successful hires</li>
</ul>
Themis Insight is an Equal Opportunity/Affirmative Action employer.
Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Application Engineer 4 (DevOps)

12+ years experience in software/DevOps; CI/CD; Linux; Docker/Podman; AWS; React/Angular; Python; TS/SCI with Polygraph.

We are seeking a hands-on Lead Systems Engineer / Architect to own the end-to-end systems architecture of the SpatialCore platform, from data ingestion and AI/ML fusion through real-time bi-directional data serving and edge deployment. You will architect the system that ties together existing built components with new infrastructure into a cohesive, scalable, and secure platform. 
 
You will write architecture decision records, produce system design specifications, lead design reviews, and contribute directly to the most complex integration challenges. You will set the technical standards for a rapidly growing engineering team while ensuring every architectural decision supports both defense compliance requirements and commercial scalability. 
 
Key Responsibilities:
 
Systems Architecture & Platform Integration 
<ul>
<li>Define and own the end-to-end systems architecture for SpatialCore, encompassing data ingestion, transformation, AI/ML fusion, real-time data serving, and client-side rendering </li>
</ul>
<ul>
<li>Architect the integration of existing platform components into a unified, production-grade system </li>
</ul>
<ul>
<li>Design extensible APIs and SDKs enabling third-party connector development  </li>
</ul>
<ul>
<li>Architect edge deployment patterns for disconnected, intermittent, and low-bandwidth environments common in defense and industrial settings </li>
</ul>
<ul>
<li>Define data flow architectures supporting token-based consumption metering (ingestion, transformation, query/export tiers) </li>
</ul>
<ul>
<li>Establish platform scalability patterns from hundreds to tens of thousands of connected endpoints  </li>
</ul>
Technical Leadership & Standards 
<ul>
<li>Produce and maintain comprehensive architecture documentation: system context diagrams, component diagrams, sequence diagrams, interface specifications, and Architecture Decision Records  </li>
</ul>
<ul>
<li>Establish and enforce engineering standards for configuration control, version management, and reproducible builds </li>
</ul>
<ul>
<li>Lead technical design reviews and serve as the final technical authority on architectural decisions </li>
</ul>
<ul>
<li>Define and implement the CI/CD pipeline strategy incorporating DevSecOps practices across the full software development lifecycle  </li>
</ul>
<ul>
<li>Translate high-level product requirements into detailed technical specifications and executable engineering tasks </li>
</ul>
<ul>
<li>Mentor and guide engineers across the team, establishing a culture of technical rigor, thorough documentation, and disciplined execution  </li>
</ul>
Data Interoperability & Protocol Engineering 
<ul>
<li>Architect the data normalization pipeline converting heterogeneous formats  </li>
</ul>
<ul>
<li>Design real-time and near-real-time data fusion architectures integrating multiple sensor modalities and data sources </li>
</ul>
<ul>
<li>Define protocol-level integration patterns for the communications layer, including multicast, fault tolerance, and contested environment resilience </li>
</ul>
<ul>
<li>Architect bi-directional data serving patterns supporting both cloud-based and edge-deployed topologies </li>
</ul>
<ul>
<li>Design data provenance and settlement mechanisms for multi-party data exchange scenarios  </li>
</ul>
Security, Compliance & Dual-Use Architecture 
<ul>
<li>Architect systems that satisfy defense compliance frameworks (CMMC, NIST SP 800-171/800-53) while remaining commercially viable </li>
</ul>
<ul>
<li>Design Trusted Execution Environment integration for hardware-backed data security </li>
</ul>
<ul>
<li>Ensure secure coding practices and threat modeling are embedded in the development process, not bolted on </li>
</ul>
<ul>
<li>Architect role-based access control, audit logging, and data handling appropriate for sensitive but unclassified environments </li>
</ul>
<ul>
<li>Design platform architecture that cleanly separates defense and commercial deployments while maximizing code reuse  </li>
</ul>
Cross-Functional Collaboration 
<ul>
<li>Partner with the CTO on technical vision, technology roadmap, and build-vs-buy decisions </li>
</ul>
<ul>
<li>Collaborate with the Growth Team to translate customer requirements and field feedback into architectural priorities </li>
</ul>
<ul>
<li>Work to evaluate and integrate emerging technologies into the platform roadmap </li>
</ul>
<ul>
<li>Support the contracts team in technical proposal writing and solution architecture for government bids </li>
</ul>
 
Required Qualifications 
Education 
<ul>
<li>Bachelor's degree in Systems Engineering, Computer Science, Computer Engineering, or a closely related engineering discipline </li>
</ul>
<ul>
<li>Master's degree preferred, particularly in Systems Engineering, Software Architecture, or a related field </li>
</ul>
 
Experience 
<ul>
<li>12+ years in systems engineering, software architecture, or platform engineering, with substantial experience delivering production systems at scale </li>
</ul>
<ul>
<li>5+ years in a technical leadership role — leading architecture decisions, mentoring engineers, and owning system-level design across multi-component platforms </li>
</ul>
<ul>
<li>Demonstrated experience architecting distributed systems that span edge, cloud, and hybrid deployment topologies </li>
</ul>
<ul>
<li>Proven track record integrating heterogeneous data sources and protocols into unified platforms (ETL/ELT pipelines, data normalization, format conversion) </li>
</ul>
<ul>
<li>Experience with real-time or near-real-time systems — low-latency data processing, streaming architectures, or embedded/IoT system integration </li>
</ul>
<ul>
<li>Public sector delivery experience — architecting or delivering systems for DoD, federal civilian agencies, or defense primes, with working knowledge of defense compliance frameworks </li>
</ul>
 
Technical Expertise 
<ul>
<li>Systems design: Deep proficiency in designing scalable, fault-tolerant distributed systems using microservices, event-driven, and message-based architectures </li>
</ul>
<ul>
<li>Languages: Strong proficiency in Python and C++ required; experience with Rust, Go, highly valued </li>
</ul>
<ul>
<li>Data engineering: Experience with spatial data formats, 3D data pipelines, or geospatial data processing </li>
</ul>
<ul>
<li>Networking & protocols: Solid understanding of transport-layer protocols (UDP, TCP), multicast, and reliable messaging patterns; experience with IoT protocols (MQTT, CoAP, OPC UA, DDS) a plus </li>
</ul>
<ul>
<li>Cloud & infrastructure: Proficiency with containerization (Docker, Kubernetes), infrastructure-as-code (Terraform), and at least one major cloud platform (AWS, Azure, GCP) </li>
</ul>
<ul>
<li>Security: Working knowledge of secure system design, encryption at rest/in transit, zero-trust architecture principles, and compliance frameworks (NIST 800-171, CMMC) </li>
</ul>
<ul>
<li>DevSecOps: Experience establishing CI/CD pipelines with integrated security scanning, automated testing, and configuration management </li>
</ul>
 
Preferred Qualifications 
<ul>
<li>Background in AI/ML system integration — deploying models into production pipelines, sensor fusion, or multi-modal AI architectures </li>
</ul>
<ul>
<li>Experience with TAK ecosystem integration or tactical edge computing platforms </li>
</ul>
<ul>
<li>Familiarity with consumption-based pricing architectures (metering, usage tracking, billing integration) </li>
</ul>
<ul>
<li>Experience architecting multi-tenant SaaS platforms with per-customer isolation </li>
</ul>
<ul>
<li>Active or recent security clearance, or ability to obtain one  </li>
</ul>
<ul>
<li>Relevant certifications: AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA), TOGAF, INCOSE CSEP, or similar </li>
</ul>
 
What We Value 
<ul>
<li>Hands-on technical leaders who architect systems AND contribute to solving the hardest integration problems — not those who only draw diagrams </li>
</ul>
<ul>
<li>Systems thinkers who see the full picture from protocol layers through application logic to user-facing delivery and can make principled trade-offs across the stack </li>
</ul>
<ul>
<li>Clear communicators who produce documentation that engineers actually use and who can explain complex technical architecture to non-technical stakeholders and investors </li>
</ul>
<ul>
<li>Pragmatic engineers who ship production systems, not perfectionists who endlessly refine prototypes — we need someone who can integrate proven components into a working platform on a startup timeline </li>
</ul>
<ul>
<li>Dual-use mindset — comfort operating at the intersection of defense requirements and commercial product development, understanding that the same platform must serve both </li>
</ul>

Lead Systems Engineer/Architect

Systems Engineer/Architect

Extensive systems engineering and software architecture experience; 12+ years; leadership in architecture decisions; DoD compliance experience; edge/cloud architectures; CI/CD; Python/C++.

<h1>Lead AI Solutions Architect – Full Stack (Incubation Team)</h1><h2></h2>We are seeking a Lead AI Solutions Architect – Full Stack to join our Incubation Team, where we explore, prototype, and validate next-generation Generative AI (GenAI) and Agentic AI solutions. This position is a hands-on leadership role requiring practical expertise in Agentic AI, data science, engineering, and solution architecture. It demands close collaboration with product and engineering teams, as well as providing technical guidance across incubation projects.This role is ideal for a builder–thinker who thrives in ambiguity, can rapidly learn new business domains, and enjoys turning complex workflows and user problems into demo-ready, production-minded AI solutions. The role focuses on proof-of-concept development, architectural guidance, and effective handoff to Product Engineering teams.<h2>Key Responsibilities:</h2><ul><li>Partner with Product Leads and Product Managers to understand workflows, user needs, and business problems across multiple product areas.</li><li>Apply design thinking and Lean UX principles to identify AI-first opportunities that create customer and business value.</li><li>Design, prototype, and validate Generative AI and Agentic AI solutions through rapid proof-of-concept development.</li><li>Build demo-ready prototypes using Python for AI workflows and Angular or React for user-facing experiences.</li><li>Design reference architecture and technical guidance to enable effective handoff to Product Engineering teams.</li><li>Provide technical direction and mentorship to junior or offshore team members as needed.</li><li>Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders.</li><li>Present, demo, and communicate AI concepts and solutions to senior leaders and customers.</li></ul><h2>Technical Skills &amp; Platform Expertise</h2><ul><li>Strong proficiency in Python, with hands-on experience building AI services and orchestration layers using FastAPI or similar modern Python frameworks.</li><li>Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including multi-step reasoning workflows, tool-based agents, and agent-to-agent communication patterns.</li><li>Deep experience with Retrieval-Augmented Generation (RAG) architectures, including semantic search, embeddings, vector databases, and chunking/indexing strategies for enterprise content.</li><li>Proficiency with Python-based GenAI frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks.</li><li>Experience working with large-scale structured and unstructured data, including data preparation, transformation, and evaluation.</li><li>Strong understanding of AI safety, governance, guardrails, and hallucination mitigation techniques.</li><li>Experience designing API-driven, cloud-agnostic architectures for AI systems, including familiarity with MCP and integration patterns.</li><li>Working knowledge of modern front-end frameworks (Angular or React) to support demo-ready user experiences.</li><li>Familiarity with SQL and NoSQL data stores.</li><li>Awareness of containerization and cloud platforms (Azure and/or AWS) at a design and architecture level to support downstream handoff.</li></ul>Ways of Working<ul><li>Comfortable working in high-ambiguity, fast-moving incubation environments.</li><li>Able to rapidly learn new domains and context switch across problem spaces.</li><li>Strong problem-solving and analytical thinking skills.</li><li>Effective collaborator with distributed and offshore teams.</li><li>Confident engaging with senior executives and customers.</li></ul><h2>Qualifications:</h2><ul><li>Master’s degree in computer science, Data Science, Engineering, or bachelor’s degree with equivalent experience.</li><li>10&#43; years of experience in Solutions Architecture, Full Stack Engineering, GenAI/Agentic AI, Data Science, AI/ML, or Applied AI Engineering</li><li>Proven experience leading complex AI initiatives and mentoring others.</li></ul><h2>Preferred Qualifications</h2><ul><li>Experience with knowledge graphs or graph-based data models.</li><li>Experience with multi-modal AI systems.</li><li>Background in enterprise SaaS, compliance, or other regulated domains.</li></ul><h2>Enablement</h2>Willingness to complete internal GenAI platform training and certification.<h2>Our Interview Practices</h2>To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation:$128,900.00 - $226,050.00 USD This role is eligible for Bonus.Compensation range listed is based on primary location of the position.  Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. <h2>Additional Information:</h2>Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, &amp; Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

Lead AI Solutions Architect - Full Stack

Lead AI Solutions Architect

Leadership-focused AI solutions architect with 10+ years in full-stack engineering, GenAI/Agentic AI, data science, AI/ML, and applied AI engineering; proven leadership and mentoring experience.

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