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Resourceful Talent Group

<div>Compensation: $185,000 to $260,000 base + meaningful early-stage equity
About the Role
We are hiring a Founding Product Engineer for our client, a well-funded, fast-growing AI startup that is transforming how professional services firms operate through intelligent automation.
With strong customer traction, paying clients already using the product, and an ambitious roadmap ahead, they&rsquo;re looking for an exceptional engineer who wants to help build a category-defining product from the ground up. This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.
What You&rsquo;ll Do<ul><li>
Build and ship product features across the full stack, from concept to production</li><li>
Design scalable frontend and backend solutions using modern web technologies</li><li>
Develop integrations with third-party platforms and APIs</li><li>
Build AI-powered features using LLMs and agent-based workflows</li><li>
Collaborate closely with the founders on product strategy, technical decisions, and roadmap planning</li><li>
Move quickly, solve complex problems, and continuously improve the product based on customer feedback</li></ul><ul><li>
2 to 7 years of professional software engineering experience</li><li>
Strong experience with TypeScript, React, Next.js, Node.js, and SQL or PostgreSQL</li><li>
Experience building and shipping production-ready full-stack applications</li><li>
Hands-on experience working with LLMs, AI tools, or agentic systems</li><li>
Ability to take ownership and thrive in a fast-paced startup environment</li><li>
Strong product mindset and passion for building user-focused software</li><li>
Excellent communication and problem-solving skills</li></ul>
Nice to Have<ul><li>
Experience working at a seed or Series A startup</li><li>
Experience building API integrations or workflow automation tools</li><li>
Exposure to AI-first products or automation platforms</li><li>
Previous experience as an early engineering hire or working directly with founders</li></ul>
Why Join?<ul><li>
Competitive base salary of $185K to $260K</li><li>
Meaningful early-stage equity</li><li>
Opportunity to become one of the first engineering hires</li><li>
Work directly with experienced founders who have successfully built and scaled startups</li><li>
Join a company with proven market demand and paying customers</li><li>
Hybrid schedule in San Francisco (3 days in office)</li><li>
Relocation assistance available</li><li>
Visa transfer support for qualified candidates</li><li>
High-impact role with significant ownership and opportunities for growth</li></ul></div>

Founding Product Engineer

Deloitte

<div>Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 
 
Recruiting for this role ends on 12/31/2026. 
 
The Team:
 
 
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 
 
Position Summary
 
 
You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 
 
Work you will do:
 
<ul><li>Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
</li><li>Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
</li><li>Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
</li><li>Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
</li><li>Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
</li><li>Demonstrating accountability and contributions to the successful realization of client goals
</li></ul> 
Required Qualifications
 
 
We require 3-5 years of experience for all skill areas below:
 
<ul><li>Hands-on experience in full stack software development across frontend and backend technologies.
</li><li>Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
</li><li>Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
</li><li>Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
</li><li>Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
</li><li>Experience building and consuming REST APIs and microservices.
</li><li>Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
</li><li>Experience using Git and development lifecycle tools such as Azure DevOps.
</li><li>Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
</li><li>Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
</li><li>Experience working in Agile/Scrum delivery environments.
</li><li>Cloud certification in AWS, Azure, or GCP
</li><li>Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
</li><li>Limited immigration sponsorship may be available
</li></ul> 
Preferred Qualifications
 
<ul><li>Experience with Docker, container-based application development, and serverless architectures.
</li><li>Experience with secure development practices or cybersecurity-focused application development.
</li></ul><ul><li>Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
</li><li>Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
</li></ul><ul><li>Experience contributing to project planning, estimation, or risk tracking.
</li><li>Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
</li><li>Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
</li><li>Strong written and verbal communication skills in cross-functional team environments.
</li><li>Cloud certification in AWS, Azure, or GCP.
</li><li>Familiarity with OpenSearch or Elasticsearch.
</li><li>Exposure to graph databases such as Neo4j or Memgraph.
</li><li>Familiarity with build tools such as Maven or Gradle.
</li><li>Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
</li><li>Familiarity with DevOps or DevSecOps practices.
</li><li>Knowledge of web security, GitOps, and Kubernetes customization.
</li>Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch. 
<li>
</li></ul> 
 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 
 
#CyberCtBEngg</div>

Cyber Full-Stack Technical Software Engineer

Instabase

<div><div>At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.

Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.

With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are people-first, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.</div><h1 class="jobSectionHeader">
Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</h1>
<h2 class="jobSectionHeader">About Instabase and the Evolution of Our Business Model</h2>

Instabase is the pioneer in helping the world's largest enterprises&mdash;including global banks, insurance leaders, and healthcare giants&mdash;unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.

As a strategic addition to our current business model, we are building SuperApp, our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.

To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents.
<h2 class="jobSectionHeader">
The Role: Player-Coach Leadership</h2>

This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.

At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
<ul>
<li>60% to 70% Hands-on Engineering: Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.</li>
<li>30% to 40% Leadership &amp; Mentorship: Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.</li>
</ul><h2 class="jobSectionHeader">What You Will Do</h2>
<ul><li>Architect Stateful Agent Loops: Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.</li>
<li>Build Secure Execution Sandboxes: Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.</li>
<li>Pioneer Tool Orchestration &amp; MCP: Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.</li>
<li>Build Evaluation &amp; Trajectory Testing Harnesses: Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.</li>
<li>Scale High-Performance Systems: Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.</li>
<li>Scale the Team: Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.</li>
</ul><h2 class="jobSectionHeader">Our Technical Stack</h2>
<ul><li>Orchestration &amp; Frameworks: LangGraph, LangChain, Go/Python, React, Node, Next.js.</li>
<li>Infrastructure &amp; Security: Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.</li>
<li>AI &amp; Models: Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.</li>
<li>Standards: Model Context Protocol (MCP) tool schemas and APIs.</li>
</ul><h2 class="jobSectionHeader">About You</h2>
<ul><li>8+ Years of Professional Engineering Experience: A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.</li>
<li>Active LLM &amp; Agentic Engineering Experience: Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.</li>
<li>Systems &amp; Infrastructure Rigor: Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.</li>
<li>Small-Team Leadership Experience: Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.</li>
<li>An Active Builder: You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.</li>
<li>Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.</li>
</ul>
Compensation: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.
<div>
<div>US Benefits:</div>
<ul><li>Flexible PTO: Because life is better when you actually live it!</li>
<li>Comprehensive Coverage: Top-notch medical, dental, and vision insurance.</li>
<li>401(k) with Matching: We've got your back for a secure future.</li>
<li>Parental Leave &amp; Fertility Benefits: Supporting you in growing your family, your way.</li>
<li>Therapy Sessions Covered: Mental health matters&mdash; 10 free sessions through Samata Health.</li>
<li>Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.</li>
<li>Lunch on Us: Enjoy a lunch credit when you're in the office.</li>
</ul>
#Li-Hybrid</div><div> 

</div><div>Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.</div></div>

Technical Lead Manager

Smvsoft LLC

Founding Engineer - Applied AI San francisco, CA (Full time)- In-Office$180k-$230k per annumNO C2CAbout the RoleHiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.Key Responsibilities<ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul>RequirementsMust-Have<ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul>Nice-to-Have<ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul>Pay: $180,000.00 - $230,000.00 per yearWork Location: In person

Founding Engineer - Applied AI

Ontrac Solutions

<div><h1 class="jobSectionHeader">Overview</h1>
We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.
The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">GenAI Architecture &amp; Production Readiness</h3>
Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.
Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.
Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.
Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.
Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.
<h3 class="jobSectionHeader">Banking Use-Case Delivery</h3>
Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.
Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.
Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.
Troubleshoot and resolve complex issues across non-production and production environments.
Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.
Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.
<h3 class="jobSectionHeader">Governance, Risk &amp; Compliance</h3>
Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.
Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.
Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.
Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.
Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.
<h3 class="jobSectionHeader">Organizational Influence &amp; Mentorship</h3>
Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.
Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.
Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.
Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.
<h2 class="jobSectionHeader">Required Qualifications</h2>
7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.
2+ years of hands-on Python programming experience.
2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.
2+ years of experience with LLMs, prompt engineering, and RAG architecture.
2+ years of experience with vector databases, semantic search, and retrieval systems.
2+ years of experience with API-driven, cloud-native architectures.
2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.
Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.
<h2 class="jobSectionHeader">Preferred Qualifications</h2>
Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.
Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.
Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.
Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.
Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.
Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.
Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.
Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.
<h2 class="jobSectionHeader">Ideal Candidate Profile</h2>
The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.
This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</div>

Principal AI Engineer

Presidio Trust

<div>The Presidio Trust is seeking a Enterprise Applications Engineer to join its IT Department. The Presidio Trust is a unique federal agency that stewards and shares the Presidio, one of the most visited national park sites in America and a place where people live and businesses thrive. The Trust manages the Presidio through a triple bottom line focus: being visited and loved by all, being a model of environmental stewardship, and demonstrating excellence in all our operations.
The Enterprise Applications Engineer is a key member of the Data Applications team, responsible for the administration, implementation, integration, lifecycle management, and operational support of a portfolio of more than 160 enterprise and departmental systems that support critical business functions, including procurement, facilities management, analytics, automation, GIS, cloud services, and emerging AI-enabled technologies.
Reporting to the Principal Data Architect, this role serves as the technical lead for assigned applications and integrations, partnering with business stakeholders, vendors, project teams, and IT to deliver secure, scalable technology solutions. This role drives application modernization, system integrations, automation, and continuous improvement initiatives; resolves complex technical issues; and ensures solutions align with business objectives, security, compliance, and data governance standards while enhancing operational efficiency and user experience.
This is a full-time position with benefits. The starting salary range for candidates based in San Francisco Bay Area is $135,090 to $160,319, depending on experience and qualifications. Salary may vary for candidates working from other locations. Applications received by July 17, 2026 will receive first consideration.
Responsibilities
<ul><li>Administer, configure, maintain and support a portfolio of enterprise and departmental applications, serving as the primary technical resource for application health, availability, and performance, operational integrity and lifecycle management activities, including implementation, upgrades, patching, and decommissioning.
</li><li>Lead and execute technical implementations, enhancements and system upgrades for enterprise applications, including but not limited to, Coupa, VFA (Facility Management), SharePoint, ArcGIS, Microsoft 365 (O365), Smartsheet, Asana, Power BI, AZURE and other business critical platforms. Responsibilities include system configuration, testing, integration development, data migration, deployment planning, validation, cutover activities, and post-implementation support.
</li><li>Develop, maintain, and support application integrations and data exchanges across the enterprise technology ecosystem, including API-based integrations, data mapping specifications, data automation workflows, and inter-system data flows to ensure accuracy, consistency, and integrity.
</li><li>Design, implement, and maintain automated workflows and business process automations across enterprise applications to improve operational efficiency, reduce manual effort, and enhance data quality across enterprise systems.
</li><li>Evaluate, implement and support AI-enabled features, integrations and automation capabilities within enterprise applications in alignment with organizational technology objectives.
</li><li>Perform back-end technical support for enterprise applications, including system configuration changes, data corrections, environment management, performance monitoring, user access administration, and resolution of complex application and integration issues across the full application portfolio.
</li><li>Coordinate and execute application patching, upgrades and version management activities in accordance with vendor release schedules and organizational change management practices. Assess patch impacts, maintain release documentation, patch logs, and coordinate testing activities with business functional stakeholders.
</li><li>Conduct technical root cause analysis for application incidents, data anomalies, integration failures and system performance issues; implement and document corrective actions and preventive controls to reduce recurrence.
</li><li>Develop and maintain comprehensive technical documentation for all administered applications, including system configuration workbooks, integration specifications, architecture diagrams, data flow documentation, runbooks, standard operating procedures (SOPs), and change management records.
</li><li>Collaborate with business stakeholders and functional leads to gather, analyze, and translate business requirements into technical solutions, system configurations, integrations, workflows and application enhancements.
</li><li>Support enterprise application-related projects through technical planning, requirement analysis, vendor coordination, testing strategy development, user acceptance testing (UAT) facilitation, deployment activities, and project closeout documentation.
</li><li>Actively contribute to and support enterprise data governance initiatives, including data standards development, data quality monitoring, metadata management, data mapping, and data lineage documentation and adherence to established data standards.
</li><li>Manage vendor relationships for assigned applications, including support coordination, issue escalation, license management, contract compliance tracking, and evaluation of product enhancements and roadmap opportunities in alignment with organizational technology strategy.
</li><li>Develop and maintain process documentation, workflow guides, and technical procedures for application-related business processes; identify opportunities for automation, standardization, and continuous improvement across supported platforms.
</li><li>Ensure application configurations, integrations and access controls comply with organizational security, compliance, audit and data governance requirements including access controls, role-based permissions (RBAC), audit logging, and information lifecycle management standards.
</li><li>Provide technical guidance and subject matter expertise to project teams, stakeholders, and IT staff regarding enterprise application capabilities, integration approaches, and technology best practices.</li>
<li>Research emerging technologies, cloud services, automation platforms, and AI-enabled tools; evaluate applicability and provide recommendations for improving business processes, user experience, and operational effectiveness.</li>
<li>Perform other duties as assigned.</li>
</ul>
Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Business Administration, or related field; equivalent combination of education and progressively responsible professional experience will be considered.
</li><li>8 years of progressively responsible experience in enterprise applications administration, systems integration and implementation, and technical support across multi-platform environments.
</li><li>Demonstrated experience administering and configuring enterprise applications such as procurement systems (e.g., Coupa), Microsoft 365 (O365), facility management platforms (e.g. VFA or similar), SharePoint, collaboration and work management tools (e.g., Smartsheet, Asana), cloud platforms (AZURE/AWS), or comparable enterprise software ecosystems.
</li><li>Hands-on experience designing and supporting system integrations, API-based integrations (REST/SOAP), data mapping, and automated data workflows across enterprise applications.</li>
<li>Experience planning and executing application upgrades, patch deployments, and version migrations; including coordination of testing, validation and change management processes and release management practices.
</li><li>Proficiency in SQL or similar querying tools for data extraction, validation, troubleshooting, and reporting across application and integration environments.
</li><li>Experience developing and maintaining technical documentation, including configuration documents, system architecture diagrams, configuration workbooks, integration specifications, and SOPs.
</li><li>Strong understanding of data governance principles including data quality, metadata management, data lineage, data mapping and data stewardship practices.
</li><li>Ability to manage multiple concurrent projects and application support responsibilities with strong attention to detail, organizational skills, and follow-through.
</li><li>Strong communication and stakeholder engagement skills with demonstrated ability to translate business needs into technical requirements and explain technical concepts to non-technical audiences.
</li><li>Experience with application security administration including user access management, role-based access controls (RBAC), and audit logging or compliance review activities.
</li><li>Familiarity with IT service management (ITSM) frameworks, including incident, problem, change, cause, and request management processes.
</li></ul>Desired Qualifications
<ul><li>Experience in federal government, public sector, or nonprofit environments with familiarity in compliance, security expectations, and regulatory frameworks (e.g., FISMA, NIST, FedRAMP).
</li><li>Experience with Coupa procurement platform administration, configuration, or integration with ERP and financial systems.
</li><li>Experience with cloud platforms including AWS, AZURE and GCP.
</li><li>Familiarity with ETL tools, iPaaS platforms (e.g., MuleSoft, Boomi, Azure Data Factory, Fabric Data Factory), or scripting languages (Python, PowerShell) for data automation.
</li><li>Experience administering Smartsheet at an enterprise level, including workspace governance, automation rules, and cross-sheet integrations.
</li><li>Experience with Asana platform administration, project template configuration, and integration with enterprise systems.
</li><li>Experience with Power BI report development, dataset management, and integration with enterprise data sources.
</li><li>Familiarity with AI tools, platforms, or APIs (e.g., Microsoft Copilot, OpenAI/ChatGPT Enterprise, or similar) and experience supporting AI implementation projects within an enterprise application environment.
</li><li>ITIL v4 Foundation certification or equivalent IT service management training.
</li><li>Experience participating in or supporting enterprise data governance programs, data governance councils, or data stewardship initiatives.
</li><li>A passion for the mission and values of the Presidio Trust.</li>
</ul>
Background Check
 
This position is subject to an employment background check which shall consist of a review of applicable county, state and Federal criminal and civil records, state bankruptcy indexes, driver&rsquo;s license, education, and employment history. An individual&rsquo;s granting of a background check and resulting report is voluntary. However, employment is contingent upon the successful completion of an employment background check. The Presidio Trust may refuse to hire an individual, may rescind an offer of employment to an individual, or may review and terminate the employment of a current employee not successfully completing the background check.
The Presidio Trust is an equal opportunity employer, offering a competitive benefits package. To learn more, visit www.presidio.gov/about/presidio-trust/careers.</div>

Enterprise Applications Engineer

Lumafield

<div>
 
 
 About Lumafield:&nbsp;
 
 
 
 
 
 
 Lumafield was founded in 2019 to upgrade manufacturing.
 
 
 
 
 
 We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.
 
 
 
 
 
 Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.
 
 
 
 
 
 We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We&rsquo;re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.
 
 
 
 
 
 Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA.
 
 
 
 
 
 
 About the role:&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 On Lumafield&rsquo;s Backend team, you work on the core of our cloud platform from REST APIs through to massively parallelized data processing pipelines operating on our X-Ray and CT image data. We leverage Python in order to move quickly but ensure that we&rsquo;re getting the most out of the language through usage of powerful frameworks and parallelism concepts. Our backend team also owns their code all the way through deployment; you&rsquo;ll work to build your code into Docker containers and deploy them to our different environments including cloud Kubernetes clusters and on-premises servers.
 
 
 
 &nbsp;
 
 
 
 
 
 
 What you'll do:
 
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 Use Python, Django and Django Rest Framework (DRF) to implement cloud backend APIs
 
 
 </li>
 
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 Use Python, Django, and Celery to implement highly parallelized large dataset processing tasks ranging up to 100s of GBs of data
 
 
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 Design for and deploy your code to our AWS environment leveraging EKS, S3, CloudFront, and other AWS technologies
 
 
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 Work closely with our research and algorithms team to incorporate cutting edge algorithms into our production codebases
 
 
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 Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables.
 
 
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 Get your hands dirty and build - expect to be hands-on and building regularly
 
 
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 </ul>
 
 
 
 
 About you:
 
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 Bachelor's Degree in Engineering or related field
 
 
 </li>
 
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 2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.)
 
 
 </li>
 
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 Experience with large dataset processing using numpy
 
 
 </li>
 
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 Strong software engineering fundamentals including git, unit testing, pull request reviews, module/interface design, and applications using parallelism and concurrency.
 
 
 </li>
 
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 Strong team collaboration, communication and interpersonal skills
 
 
 </li>
 
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 Experience with Linux server administration, network troubleshooting, docker deployments, productionizing systems
 
 
 </li>
 
 
 </ul>
 
 
 
 
 Bonus points for:
 
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 Experience with Agile Development practices
 
 
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 Experience with AWS including EKS, S3, CloudFront, or similar
 
 
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 Experience with image processing pipelines and/or image acquisition
 
 
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 Experience in configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.
 
 
 
 
 
 
 Lumafield offers both competitive cash and equity compensation, as well as a health &amp; wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!&nbsp;
 
 
 
 
 
 Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don&rsquo;t meet every single requirement listed? We encourage you to apply anyway &ndash; If you&rsquo;re excited about our technology, the opportunity, and are eager to learn more we&rsquo;d love to hear from you!&nbsp;&nbsp;
 
 
 
 
 
 In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.&nbsp;
 
 
 
 
 
 Reach out if you want to be a part of what we are building.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant.
</div>

Backend Software Engineer

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