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Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Role Title: DevOps Engineer

Location: Mechanicsburg, PA

Duration: Full-time with Apexon

Role Description:

• DevOps Engineer (5+ years) with hands-on CI/CD, build/release automation, and production support using Jenkins and GitHub in enterprise environments
• Strong expertise in application deployment, environment management, scheduling/automation, and troubleshooting across web and application server stacks CI/CD (Jenkins)build and maintain pipelines for automated build, test, package, and deployment workflows Source Control (GitHub)
• manage branching/merge strategies, pull requests, release tagging, and repository standards Build Tools (Maven/Gradle)
• configure and troubleshoot builds, dependency management, and versioning for consistent releases Application Servers (IBM WebSphere Application Server)
• deploy/configure applications, manage JVM settings, troubleshoot logs, and support patch/upgrade activities Web Containers (Apache Tomcat)
• application deployments, configuration, service management, and performance/log troubleshooting Web Server (IBM HTTP Server)
• configure/maintain web tier integrations, routing, and connectivity to application servers Node.js Runtime (Node Server): deploy and support Node applications/services, manage configurations and environment promotions Scheduling (Control-M)
• create/maintain batch schedules, dependencies, calendars, monitoring, and operational runbooks -Required Skills: JIRA, Git, Jenkins, Deployments

Applied AI Engineer

Compensation:

• Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

• Hybrid / Onsite - Greater Kansas City Metro Area
• 3 days per week onsite, 2 days remote
• Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
• Fully remote candidates cannot be considered

Work Authorization:

• Must be authorized to work in the U.S.
• No current or future visa sponsorship available

Engagement Type:

• Full time, direct hire only
• No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

• Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
• Develop and deliver intelligent features within a proprietary SaaS platform.
• Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
• Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
• Build and maintain backend systems and APIs that support AI functionality across products and services.
• Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
• Implement fallback strategies, model routing, and cost performance optimization.
• Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
• Apply best practices related to data privacy, security, compliance, and responsible AI use.
• Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

• 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
• Proven experience applying LLMs or similar AI models to real business or product challenges.
• Strong backend engineering skills (Python and/or TypeScript preferred).
• Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
• Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Front end development experience in areas like React, Node.js, Web Development, front end web product design
• Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience supporting SaaS platforms or technology driven products is a plus.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Passion for applying AI in practical, high impact ways.

Why This Role

• High visibility and ownership of AI initiatives
• Opportunity to build AI systems that directly impact business outcomes
• Emphasis on production grade systems, not experimentation alone
• Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is looking for a Senior Digital Engineer – Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO.

Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture.

As a Digital Engineer – Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event.

This is not a traditional backend or data‐engineering role. You will design end‐to‐end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full‐stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing.

If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you.

Position Responsibilities:

Digital Product & Application Development

• Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity
• Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability
• Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET)
• Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools

Systems Architecture & Cloud Engineering

• Architect end to end systems spanning applications, data services, and cloud infrastructure
• Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability
• Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments
• Design solutions that support multi cloud and hybrid environments as required by program needs

Data Enabled Engineering (as a Platform Capability)

• Design data models and storage solutions that support both transactional systems and analytical workloads
• Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently
• Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity

DevOps, Reliability & Security

• Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications
• Apply SRE principles to ensure reliability, observability, and operational excellence
• Build and maintain observability capabilities—including logs, metrics, and traces—to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems
• Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements
• Contribute to operational documentation, runbooks, and continuous improvement efforts

Collaboration & Technical Leadership

• Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction
• Influence architecture and design decisions across programs through systems thinking and engineering judgment
• Collaborate with peers and contribute to a growing Digital Engineering community within BT&E

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• 5+ years of experience developing full stack applications with modern frameworks
• Strong systems thinking skills with experience designing end to end software solutions
• Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go)
• Experience deploying and operating applications in cloud environments (Azure and/or AWS)
• Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep)
• Working knowledge of CI/CD pipelines, Git, Docker, and Linux
• Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations
• Familiarity with security best practices (IAM, secrets management, network controls)

Preferred Qualifications (Desired Skills/Experience):

• Experience designing developer platforms or internal engineering tools
• Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation
• Cloud certifications (AWS and/or Azure)
• Experience with Kubernetes, serverless architectures, or event driven systems
• Exposure to data pipelines, analytics platforms, or data enabled applications
• Experience working in regulated or safety critical environments
• Understanding of aerospace, test & evaluation, or large scale engineering programs
• Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $127,500 – $197,800

Applications for this position will be accepted until Mar. 21, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is looking for a Senior Digital Engineer – Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO.

Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture.

As a Digital Engineer – Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event.

This is not a traditional backend or data‐engineering role. You will design end‐to‐end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full‐stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing.

If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you.

Position Responsibilities:

Digital Product & Application Development

• Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity
• Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability
• Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET)
• Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools

Systems Architecture & Cloud Engineering

• Architect end to end systems spanning applications, data services, and cloud infrastructure
• Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability
• Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments
• Design solutions that support multi cloud and hybrid environments as required by program needs

Data Enabled Engineering (as a Platform Capability)

• Design data models and storage solutions that support both transactional systems and analytical workloads
• Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently
• Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity

DevOps, Reliability & Security

• Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications
• Apply SRE principles to ensure reliability, observability, and operational excellence
• Build and maintain observability capabilities—including logs, metrics, and traces—to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems
• Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements
• Contribute to operational documentation, runbooks, and continuous improvement efforts

Collaboration & Technical Leadership

• Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction
• Influence architecture and design decisions across programs through systems thinking and engineering judgment
• Collaborate with peers and contribute to a growing Digital Engineering community within BT&E

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• 5+ years of experience developing full stack applications with modern frameworks
• Strong systems thinking skills with experience designing end to end software solutions
• Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go)
• Experience deploying and operating applications in cloud environments (Azure and/or AWS)
• Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep)
• Working knowledge of CI/CD pipelines, Git, Docker, and Linux
• Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations
• Familiarity with security best practices (IAM, secrets management, network controls)

Preferred Qualifications (Desired Skills/Experience):

• Experience designing developer platforms or internal engineering tools
• Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation
• Cloud certifications (AWS and/or Azure)
• Experience with Kubernetes, serverless architectures, or event driven systems
• Exposure to data pipelines, analytics platforms, or data enabled applications
• Experience working in regulated or safety critical environments
• Understanding of aerospace, test & evaluation, or large scale engineering programs
• Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $127,500 – $197,800

Applications for this position will be accepted until Mar. 21, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

• Manufacturing Job Type: Full-time
  
  

• 1st Shift: 7:00 am - 3:30 pm EST
• 2nd Shift: 3:00 pm - 11:30 pm EST Training: Must be available for training from 8:30 am - 5:00 pm EST for one month.
  
  

• Operate pharmaceutical production machinery, following procedures for manufacturing activities such as weighing, blending, dispensing, mixing, granulating, drying, compressing, and encapsulating.
• Adhere to SOPs to ensure material purity and proper equipment usage.
• Verify materials against Product ID Labels, QC release tags, and Batch Production Records.
• Clean and perform machine changeovers, conduct in-process product quality checks, and document results accurately.
• Follow assigned schedules and participate in debriefs to address any production issues.
  
  

• Maintain accurate documentation of manufacturing processes in batch records, logbooks, and protocols.
• Complete and attach verification tickets, updating status boards as needed.
  
  

• Assist in troubleshooting, participate in improvement projects, and address deviations with the supervisor.
  
  

• Comply with all cGMP, SOP, policy, and safety requirements.
• Participate in safety meetings and maintain a clean, organized work area.
  
  

• Fulfill all training requirements, including machine-specific training.
  
  

• Share knowledge with team members, contributing to the overall success of projects and initiatives.
  
  

• High school diploma, GED, or Associate Degree.
• 1-3 years of experience in a physically demanding environment.
• Proficiency in English (verbal and written).
  
  

• High school diploma, GED, or Associate Degree.
• 3-7 years of experience in OSD pharmaceutical manufacturing.
• Forklift certification may be required for specific roles.
  
  

• High school diploma, GED, or Associate Degree.
• 7+ years of pharmaceutical manufacturing experience, with relevant certification or demonstrated proficiency.
  
  

• Experience in solid dose manufacturing (OSD) and equipment operation.
• Proficiency in areas like Compression, Granulation, Encapsulation, Coating, etc.
• Familiarity with FDA regulations, GMP, Lean Manufacturing, and Six Sigma principles.
• Basic math, reading, and problem-solving skills.
• Ability to participate in Continuous Improvement projects.
  
  

• Ability to stand for extended periods, lift at least 50 pounds, climb ladders, wear a respirator, and all required PPE (safety glasses, earplugs, safety shoes).
  
  

Location: Chantilly, VA

Step into a role where your expertise keeps an entire facility running seamlessly. As a Facility Maintenance Engineer, you’ll directly impact the performance of critical systems, ensuring that manufacturing operations stay compliant, safe, and productive. Your work will keep the heart of this pharmaceutical operation beating strong.

Why You Should Apply

• Competitive opportunity to work in a cutting-edge GMP facility.
• Direct influence on essential operations supporting public health.
• Chance to work with a diverse range of high-value equipment and utilities.
• Collaborative team environment with training and cross-functional exposure.

What You’ll Be Doing

• Maintain and repair plant utilities including boilers, chillers, compressors, and air handling systems.
• Execute preventive maintenance programs and troubleshoot equipment issues.
• Support equipment commissioning, installation, and validation efforts.
• Document all maintenance activities in compliance with GMP standards.
• Coordinate with vendors and service providers for specialized repairs.

About You

• Steam boiler operation and maintenance expertise.
• Strong experience with GMP documentation requirements.
• Knowledge of HVAC humidification/dehumidification systems.
• Experience with nitrogen systems, clean steam systems, and purified water distribution.
• Boiler certification preferred.

How To Apply

We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell me why you’re interested. Or, feel free to email your resume. Please include Job#19759.

• Perform moderate to complex adjustments, maintenance, and repairs on packaging and pneumatic equipment.
• Conduct machine changeovers, troubleshoot mechanical and basic electrical systems, and make appropriate repairs.
• Execute daily preventative maintenance on packaging equipment, conveyors, compressors, and assist with equipment installations.
• Complete work orders for machinery repairs, interpret equipment manuals, diagnose issues, replace or repair parts, test, and adjust equipment.
• Utilize hand and power tools, electric meters, and material handling equipment in daily tasks.
• Set up full line configurations independently, identifying and reporting any faulty operations or defective materials.
• Ensure compliance with company policies, cGMPs, ethical practices, and SOPs, completing documentation such as operation logs and batch records accurately.
• Perform quality inspections during operations, adhering to product quality standards, and execute all required sampling and testing.
• Train and guide Packaging Operators in safe and effective machine operation, including breakdown and sanitation tasks.
• Adhere to proper gowning and hygiene as per SOPs and cGMPs, promoting a safe work environment by following all safety protocols.
• Support other mechanical or maintenance needs as required and maintain regular, punctual attendance with flexibility for extended hours and occasional weekend overtime.
  
  

• Perform additional job-related tasks as assigned by management.
  
  

• High school diploma or GED equivalent.
• Minimum of 2 years of experience in mechanical maintenance of bottle packaging lines, including troubleshooting, repairs, setup, and disassembly.
• 2+ years of experience in nutraceutical, supplement, food, or pharmaceutical manufacturing in a maintenance mechanic role for bottle packaging lines.
  
  

• Ability to work effectively in a team environment, read and interpret blueprints, schematics, manuals, and work orders.
• Proficient in using measuring equipment like micrometers, calipers, scales, and Volt/Ohm Meters.
• Familiarity with cGMP and OSHA standards; strong mechanical aptitude for machine repair and troubleshooting.
• Basic English reading and writing skills, with PLC knowledge being an added advantage.
• General proficiency with PCs.
  
  

Job Title: Senior Software Engineer

Reports To: Manager of Application Development

About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.

Responsibilities:

• Design, implement, test, and maintain scalable, secure, and reliable applications and services.
• Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
• Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
• Participate in architectural discussions and support incremental evolution of systems with team leads.
• Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
• Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
• Identify and mitigate technical risks in assigned systems and projects.
• Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
• Collaborate effectively with onshore and offshore teams to ensure successful project execution.
• Keep abreast of industry trends and new technologies to encourage innovation.
• Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
• Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
• Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
• Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
• Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.

Required Skills:

• Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
• Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
• Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
• Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
• Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
• Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
• API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
• DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
• Containerization: Experience with Docker and Kubernetes for application development and deployment.
• Security: Understanding of secure coding and application security best practices.

Preferred Skills:

• Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
• Strong problem-solving abilities and the capacity to make effective decisions under constraints.
• Leadership through mentoring and influencing technical direction.
• Adaptability to new technologies and changing environments.
• Critical thinking in evaluating options and making informed decisions.
• Effective time management across multiple projects.
• Empathy for team and stakeholder perspectives to foster collaboration.

Senior Integrations Software Developer

Overview:

We are looking for a Senior Integrations Software Developer to lead the design and development of our enterprise-wide GraphQL API layer, which serves as the central integration platform connecting all enterprise systems and applications. This role goes beyond coding—you will partner with business stakeholders and technical teams to translate complex business requirements into clear, scalable integration solutions. You will also play a key role in shaping the API platform strategy, mentoring developers, and driving best practices across the organization.

Key Responsibilities:

• Lead the development and evolution of the enterprise GraphQL API layer, ensuring it meets performance, scalability, and security standards.
• Partner with business stakeholders and technical teams to understand integration needs and deliver straightforward, effective solutions.
• Define and enforce API design standards, governance, and best practices across teams.
• Guide and mentor mid-level and junior developers, fostering a culture of collaboration and technical excellence.
• Work with diverse databases, including MS SQL, PostgreSQL, Oracle DB, and others, ensuring efficient data access and transformation.
• Contribute to API platform engineering, improving developer experience and enabling other teams to integrate seamlessly.
• Participate in architectural discussions, influencing decisions on integration patterns and enterprise connectivity.
• Drive continuous improvement in CI/CD pipelines, containerization strategies, and deployment processes.

Required Skills & Qualifications:

• 5+ years of professional experience in software development, with at least 2 years in a senior or lead role.
• Expert proficiency in JavaScript/TypeScript and Node.js.
• Deep experience with GraphQL and REST API design and implementation.
• Strong understanding of API architecture, authentication, and authorization mechanisms.
• Hands-on experience with relational databases (MS SQL, PostgreSQL, Oracle DB).
• Proficiency with Docker for containerization and deployment.
• Familiarity with event driven architecture (SNS/SQS, Kafka)
• Knowledge of API gateway technologies and microservices architecture.
• Ability to communicate complex technical concepts to non-technical stakeholders clearly and effectively.
• Proven track record of delivering scalable integration solutions in enterprise environments.

Preferred Qualifications:

• Experience with enterprise systems integration (CPQ, ERP, PLM, CRM).
• Familiarity with CI/CD pipelines, DevOps practices, and cloud platforms (AWS, Azure, or GCP).
• Strong leadership and mentoring skills, with the ability to influence technical direction.