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Pyramid Systems is seeking an experienced DevOps/AWS Engineer take responsibility for creating, building, deploying, orchestrating, and automating deployment packages in AWS cloud-based environment.

• Design and automate cloud environments at scale using Infrastructure as Code tools
• Design and develop fully automated software delivery pipelines
• Efficiently collaborate within and across agile teams to maximize productivity
• Develop technical documentation, architecture diagrams, and similar
• Engage in all agile ceremonies including backlog grooming, demos and retrospectives
• Eliminate roadblocks and hindrances preventing teams from delivering software
• Assist the team in documenting and leveraging cloud and DevOps best practices
• Fullstack development using modern frameworks and languages Python or JavaScript
• Quickly learn and adapt to new technologies, frameworks, or project requirements as needed
• Apply critical thinking and a solutionoriented mindset to identify issues and propose effective resolutions
• Integrate AI/ML models into applications to enhance functionality, automation, and overall user experience
• Collaborate with crossfunctional teams to design scalable architectures supporting both traditional and AIdriven features
• Implement best practices for model deployment, data handling, and performance optimization in AIenabled systems

• Bachelor's degree in computer science, engineering, or related field
• Must have AWS certs and/or CompTIA relevant certifications
• 5+ years of experience managing cloud or virtualized infrastructure
• Passionately practices Infrastructure automation using Terraform, Ansible, or similar
• Knowledge and familiarity with Docker and Kubernetes
• Fluent in at least one programming language - Python, Go, Typescript, JavaScript or similar
• Strong system administration experience in Linux
• Knowledge of AWS DevOps with GitHub Actions, GitLab CI/CD, Jenkins, or similar
• Strong team player, communicates well, and caries an infectious can-do attitude
• Must have hands on experience with Claude Code or similar AI tools
• Strong experience in compliance frame works like: ATO, SOC 2, PCI-DSS, FedRAMP, NIST 800-53, or CIS Benchmarks

At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you'll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

As a Software Development Engineer, you will represent Embedded Quality in the Software organization. You will have a direct impact on the business, advancing the platform for both internal and external customers. You'll be exposed to a large variety of the foundational pieces of the Sonos system - music playback, device-to-device interaction, partner services, and much more. In addition, you'll be tasked with creating a development pipeline with quality at its core. You will be expected to understand the features being built and automate testing of those features. In addition, you will work with a team of industry-leading innovators across many different disciplines such as hardware, product management and user experience. If you love music, solving challenging problems and delivering high-quality products, we want to talk with you!

What You'll Do

• Develop and improve the team's automated CI/CD release pipeline, with quality as its foundation.

• Develop automated tests for new software features, especially around partners and control API

• Monitor, debug, and fix breakages within our automated pipeline.

• Add and democratize new forms of data and metrics to allow the team to make decisions on where to focus and improve our tests.

• Be an active participant and engaged part of your Scrum team - you are the voice of both quality and the customer during the development process.

• Review requirements, behavior specifications, and design documents to begin test development early and uncover issues prior to implementation.

• Investigate log, track, and triage bugs to determine root cause and establish prioritization.

• Advocate Software Quality within Sonos

What You'll Need

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria.

Basic Qualifications

• Bachelor's Degree in Computer Science, Software Engineering or equivalent experience

• 1-5 years of experience in automation, preferably with embedded systems

• Demonstrated proficiency writing code for automation with one or more of the following: Python, Javascript, C/C++

• Experience with version control such as Git, Perforce, etc

• Knowledge on data instrumentation and telemetry for Software Quality

• This role requires commuting distance to our main engineering office in Boston. Qualified candidates must be able to be in our office at least once a week. (#LI-Hybrid)

Preferred Qualifications

• Experience with REST and/or Websocket based APIs

• Experience with CI/CD build and release pipelines: Github Actions, Jenkins, Azure Pipelines, etc

• Experience with the following technologies:

  • Embedded, Restful API and Cloud automation testing tools in a B2B model

  • OpenAPI Specifications, Data Telemetry and Code Instrumentation

  • Test Automation Frameworks in Python

  • JIRA

  • Kubernetes and Docker containerization

  • Linux as a development platform

  • Tableau, Kibana, DataDog and other system reliability and quality tracking tools

Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. We ask that applicants be authorized to work for any US employer, both now and in the future.

Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.

The base pay range for this role based off geographic location is:

The specific pay offered will depend on the candidate's geographic location, as well as qualifications and experience. We apply geographic pay differentials based on the cost of labor in the market. Employees in high-cost locations may be compensated at the upper end of the range, while those in medium or low cost markets may be compensated at the lower end of the range. Your recruiter can provide more details about the specific salary range for your location during the hiring process.

Please note that compensation details listed in US job postings reflect the base salary only, and do not include bonus, equity, or benefits.

We also offer a comprehensive benefits program with choice and flexibility in mind to help support the health, wealth, and overall well-being of our employees. Regular full time employees in the US are eligible for benefits on day one, including:

• Medical, Dental, and Vision Insurance

• A 401(k) plan with company matching and immediate vesting

• An Open Time Off policy (OTO) so you have maximum opportunity to disconnect and recharge, with no tenure-based vacation accruals required

• 80 hours of sick time upon hire, refreshed annually

• Up to 12 paid holidays per calendar year

• Sonos offers a generous paid leave program for new parents or to care for a family member with a serious health condition, as well as short- and long-term disability for your own medical condition

• Company-paid Disability, Life, and AD&D Insurance

• Voluntary benefits, including Voluntary Life, AD&D, Accident, and Pet Insurance

• Mental health benefits to support your holistic well-being

• A generous employee discount program & Sonos Radio HD - on us!

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice to U.S. Job Applicants: Sonos is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Sonos is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

We're seeking a motivated and technically skilled Quality Assurance Engineer to collaborate with our engineering teams in planning, designing, and executing robust QA strategies for software and IoT connectivity. This role ensures adherence to quality standards across all in-house and cloud-configured products.

This position will be responsible for establishing and enforcing standards that ensure high quality is delivered within area of assigned responsibilities.

CORE RESPONSIBILITIES

* Design and execute comprehensive manual and automated test cases to ensure product reliability.

* Develop and maintain test plans, test cases, and automation frameworks for maximum test coverage and efficiency.

* Identify, document, and track bugs using issue-tracking tools, ensuring timely resolution.

* Collaborate with developers to resolve issues efficiently.

* Develop performance, security, and other specialized testing.

* Collaborate with development and product teams to clarify requirements and improve product testability.

* Actively participate in Agile/Scrum ceremonies, contributing to sprint planning, reviews, and retrospectives.

* Mentor teammates on testing methodologies and best practices.

* Provide clear reporting on project status, testing progress, and areas of improvement.

REQUIRED QUALIFICATIONS

* 3-5 years of experience in software testing, QA engineering, or software development.

* Proficiency with webdriver tools (Selenium, Cypress, Playwright).

* Proficiency with API testing tools (Postman, Fiddler).

* Strong scripting and programming skills.

* Experience with SQL and database schema design.

* Proficiency with issue tracking and collaboration tools (Jira, Confluence, Git).

* Ability to analyze requirements and create testable specifications.

* Strong analytical and problem-solving skills with keen attention to detail.

* Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

* Bachelor's degree in Computer Science or equivalent experience.

* Familiarity with TypeScript, Python, or other object-oriented languages.

* Experience with cloud platforms and containerization technologies.

* Experience mentoring or training team members on testing methodologies.

* Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).

* Familiarity with Performance testing tools (k6, Locust).

* Familiarity with Security testing tools (OWASP ZAP, Burp Suite).

Why Join Rite-Hite Digital Solutions?

The right candidate will be:

• A tenacious advocate for customer value.
• A curious explorer of what our software can do, beyond the written requirements.
• A meticulous, detailed reporter on the story of product quality.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Client Platform Engineer, you will be a part of our IT and Security team. Your work will have a key impact on the development of Reliable Robotic's internal infrastructure and processes. You will work as part of the IT and Security team towards building, deploying and managing tools. You will be working on building or improving existing automation to support standardization efforts, with a focus on end-user facing endpoints.

Responsibilities

In your role as a Client Platform Engineer, you will be responsible for the design, implementation of tools supporting the business internal needs and standards, as well as support of the IT related needs of our end-users. You will be involved in the design and implementation of tools and their supporting infrastructure, to improve the daily experience of our users across the entire business. This will include managing SaaS services, managing physical infrastructure, and cloud infrastructure to support the needs of the teams at Reliable. You will be responsible for identifying additional opportunities for standardization, improvement of the user experience, and training various teams, including the IT/Security teams you will be working on, for redundancy when new tooling is introduced.

Basic Success Criteria

• 5+ years of experience supporting business needs in IT

• Excellent troubleshooting skills

• Basic networking skills and understanding of basic network services (vlan/routing/wifi/dhcp/dns/etc)

• Previous management of in-office infrastructure (wifi, printing, etc)

• Experience with MDM platforms to manage Apple devices (macOS, iOS, iPadOS) and Windows 11 devices

• Experience with configuration management systems such as Puppet (preferred), Chef or Ansible

• Scripting skills in various languages (Python, bash, powershell)

• Understanding of SSL certificates, and PKI infrastructure

Preferred Success Criteria

• Ability to explain complex concepts to users or colleagues

• Ability to troubleshoot problems remotely (over Slack, Google Meet, or others)

• Familiarity with Google Workspace management (access and management of Google services, integration of Google with other services, and the security mechanisms available in those environments)

• Experience with virtualization/containerization, both in AWS and GCP, KVM, LXC, and Docker

• Development tooling experience (git, github, vscode, pip3)

• Experience with AWS services (IAM, ec2, s3, route53, SSO, lambda, etc)

• Application (re)packaging and management (msi/pkg/deb)

• Experience in environments where data management, classification and handling is critical

• Experience with end-user supports with software and computing devices

• Mobile device management and BYOD policies

This position is based at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $125K - $185K

• Architect, build, and maintain a robust application management and loan repayment platform, ensuring scalability, performance, and maintainability across front-end and back-end systems
• Leverage full-stack engineering skills to contribute alongside team and build a polished & accessible end-user experience that tens of thousands of students and program administrators love, and develop best of breed API on reliable infrastructure for our partners to leverage
• Set best practices for code quality, system design, and security while mentoring engineers and conducting code reviews
• Oversee 2-3 engineers' day-to-day operations with the support of the Director of Engineering
• Work with cross-functional stakeholders to define and prioritize work, break down large initiatives into achievable milestones, and balance technical debt with new feature development
• Spec out stories with the engineering team and product leadership, and lead the team in continually reflecting on how to better deliver value and operate as a team
• Foster a strong engineering culture through collaboration, knowledge sharing, and continuous improvement.
• Participate in future on-call rotations and ensure by building self-healing and resilient systems and leveraging infrastructure as code and monitoring tools that our systems are highly available

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent bootcamp or upskilling program experience
• Hands-on experience managing CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or similar) and ownership of deployment strategies, release management, and production monitoring
• Experience working closely with Product teams to define technical requirements and Compliance teams to ensure regulatory adherence in financial services or similarly regulated environments.
• Ability to clearly articulate technical trade-offs, align stakeholders, and make informed decisions under ambiguity.
• 4+ years working in a SaaS startup regularly building and owning the complete E2E technology stack for Web Application (Frontend + Backend + Cloud + CI/CD)
• Deep experience with a combination of the following technologies:
• Javascript & TypeScript (React, NextJS, Recoil (other state management libraries)), Python (Django, Flask, FastAPI, etc.), HTML, CSS
• Databases: SQL (we use PostgreSQL)
• Cloud: AWS or Google Cloud experience
• Design: We use Figma; understanding of responsive design
• DevOps: Experience with CI/CD and modern cloud and container tooling

• Modern tech stack with the ability to have impact to many different user personas - recruiters, students and more
• High autonomy working in a highly collaborative team
• Can grow into a more formal people management role - expectation though is to be very hands on
• Step into being a 10x engineer and ride the AI wave with a team doubling down on how this technology allows us to focus on harder problems and solve for our customer's needs without compromising on quality

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup

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.

About This Role

This isn't a traditional engineering role where you'll receive detailed specifications and build to order. We're looking for someone who digs into problems firsthand—someone who asks "why" until they truly understand what's broken, then builds the solution themselves.

If you've ever been frustrated by the gap between people who understand the customer and people who can build technology, this role exists because we share that frustration. We want someone who can do both.

What You'll Do

You'll use AI tools—particularly Claude Code and the Claude platform—to build solutions that solve real problems in mortgage lending. Not proofs of concept. Real tools that people use every day.

Examples of problems you might tackle:

• Loan conditions arrive from Fannie Mae, Freddie Mac, VA, and FHA in different formats. Loan officers spend hours reconciling them. Build something that consolidates and deduplicates them automatically.
• Underwriters spend significant time on tasks that could be automated, but "that's how it's always been done." Identify which tasks, understand why, and build the automation.
• Compliance requirements evolve constantly. Build systems that can adapt without requiring lengthy development cycles.

You won't always be handed a clear spec. You'll often be handed a problem—sometimes a vague one—and expected to dig in until you understand it well enough to solve it.

What We're Looking For

Required:

• You can build working software. You don't need a team of engineers to ship something useful. Claude Code, Python, JavaScript, APIs—you're comfortable getting hands-on.
• You go deep on problems. When someone says "we need a dashboard," you ask what decision they're trying to make. When they say "it takes too long," you ask how long, why, and what happens as a result.
• You're persistent. You don't hear "that's not possible" and stop there. You get curious and look for another way.
• You communicate well across audiences. Executives, loan officers, underwriters, compliance teams—you can work with all of them effectively.

Preferred:

• Bachelor's degree in Business, Computer Science, or related field
• Experience in mortgage lending, financial services, or another regulated industry
• Hands-on experience with AI coding tools (Claude Code, Copilot, Cursor, or similar)
• Background that spans both business and technical work—perhaps you started in analysis and taught yourself to code, or you're an engineer who consistently finds yourself thinking about the customer problem

What matters most:

We care less about your pedigree and more about your ability to solve problems and work well with others while doing it.

Why This Role Exists

We're a 200-person mortgage lending organization, and we believe AI is going to fundamentally change how our industry operates—not by replacing people, but by making our people dramatically more effective.

We're moving away from the traditional model where business teams write requirements, hand them to engineers, and hope the result matches the intent. We want to build a team of people who can understand the problem deeply and build the solution directly. Fewer handoffs. Faster iteration. Better outcomes.

If that resonates with you, we'd like to talk.

How To Apply

Please send:

1. Your resume
2. Something you've built — a link, screenshot, GitHub repo, or brief walkthrough. It doesn't need to be polished. We want to see how you approach problems.
3. A short note (a few sentences) about a problem you investigated deeply and what you learned from it