Role Description We are seeking inquisitive and technically curious energy engineers with a minimum of 2 years of combined experience in Building Systems Commissioning and Energy Modeling. The ideal candidates have "the mind of an engineer", a desire to innovate, and apply their skills to create practical solutions that transform building (and portfolio) performance through design, retrofit, and operations. Joining our sustainable real estate team means a unique opportunity to be involved with a variety of unique and ambitious projects, gain experience with all categories of large buildings, facilities, and portfolios, regionally, nationally, and overseas. You will work with design and construction teams to support new construction and renovation, or improvement projects, considering high-performance and sustainability goals motivated by financial success through savings, incentives, better marketing, and certifications such as LEED, WELL, EGC, MFNC, and PHIUS. You will lead the development of energy efficiency and decarbonization (electrification) plans with an eye on grid flexibility. Progressively, you will work with our analytics leads to support energy management and highly sustainable operations for portfolios worldwide through continuous and monitoring-based commissioning. Sharing internally and externally about the practical and economic viability of the latest building technologies, best-in-class design strategies, and operations, you will continue to challenge the status quo to contribute to lower (operational and embodied) carbon impact and healthier real estate for our clients. Key Responsibilities - Perform energy auditing and commissioning processes for (major) renovation projects and new construction. - Develop and refine advanced building energy models to optimize building performance and support sustainability goals with innovative solutions. - Collaborate closely with design and construction teams to ensure alignment with energy codes and green building standards. - Conduct thorough site inspections, system testing, and performance verification. - Interact with our team and clients to provide insightful reports and recommendations to optimize systems. Qualifications - Bachelor's or Master's degree in Mechanical Engineering, Building Science and Technology, or a related field. PhD preferred but not expected. - Minimum of 5 years of combined experience in building systems commissioning and energy modeling. Certifications such as ASHRAE's HBDP, BEMP, BEAP, BCxP, and AEE's CEA, CEM, EBCP are a plus. - Proficiency with whole-building energy modeling software such as DesignBuilder, OpenStudio, IES-VE, EnergyPlus, eQuest. - Deep understanding of building energy conservation codes, ASHRAE standards, and LEED technical credits. - A natural curiosity and drive to understand complex physical systems and their interactions with human behaviors to identify superior energy conservation solutions through a combination of technology and design in a practical, impactful manner. - Professional Engineer in New York State, or the ability and willingness to secure a license in the next 12 months, is a plus. Benefits - Competitive salary and an exceptional benefits package. - Opportunities for rapid professional growth, recognition, and collaborative development in a diverse and inclusive environment of talented professionals working every day on exciting, meaningful projects. - The chance to be part of a team committed to making a positive and lasting impact on the environment and society.

Role Description BigBear.ai is seeking a Forward Deployed Engineer to design, build, and deploy mission-driven data solutions in support of U.S. Army modernization efforts. This position is remote, with possibility of travel to client sites as required to support mission delivery and stakeholder engagement. As a Forward Deployed Engineer, you will operate at the intersection of mission operations, data engineering, and AI-enabled decision support. You will collaborate directly with Army stakeholders to translate operational needs into scalable Foundry-based solutions that drive real-world impact. This is an opportunity to work on complex national security challenges while shaping how advanced data platforms and AI capabilities are delivered to the warfighter. You will join a high-performing, mission-focused team that values ownership, technical excellence, and measurable outcomes. If you thrive in dynamic environments, enjoy solving complex problems, and want your work to directly support national defense priorities, this role offers both flexibility and meaningful impact. Qualifications - Clearance: Ability to obtain a Secret clearance - Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical discipline (or equivalent experience) - Experience: 1-3 years of experience in data engineering, analytics engineering, software development, or platform engineering - Experience working with enterprise data platforms, specifically Palantir Foundry or Vantage - Working knowledge of SQL and basic ETL concepts - Experience integrating structured and unstructured data from multiple systems - Ability to operate independently in a remote, distributed team environment - Understanding of DevSecOps principles and CI/CD pipelines - Strong written and verbal communication skills Requirements - Collaborate remotely with Army stakeholders to understand operational workflows and mission challenges - Translate mission requirements into scalable Foundry ontologies, pipelines, and operational applications - Ingest and manage data from multiple Army systems and data sources within Foundry - Design and deliver decision-support tools and analytics using Foundry’s Workshop, applying UI/UX best practices - Rapidly prototype and iterate on solutions in partnership with SMEs and product leads - Conduct gap analysis between current-state capabilities and future-state mission needs Company Description BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

• Designs and implements enterprise security solutions. • Functions as the Data Protection Technical Lead / SME for enterprise security. • Mentors DLP analysts on data protection controls, technologies, best practices, and techniques. • Collaborates with the Senior Manager of Data Protection to define and implement processes and technologies to enable delivery of the roadmap initiatives. • Leads the development of processes and tool alignment for data at rest initiatives. • Manages DLP policies and configuration of technical tools per process requirements. • Performs Level 3 / Level 4 incident response/support to triage security events/incidents, identify root cause, determine next steps, and drive incident resolution.

See our full job posting by clicking "Apply". Mission Behavioral health is more important than ever. But almost half of behavioral health clinicians report that they spend 5+ hrs per day on administrative work. Some of that admin work happens “in the room,” but no matter where it happens, we believe it’s too much. JotPsych’s mission is to defeat admin work and let clinicians practice human-centered healthcare. We already reduce note-taking time by 90%. But we’re just getting started. Billing, appointment scheduling, e-prescriptions, and more are right around the bend. JotPsych: Background and Context - 🛗 Elevator pitch: JotPsych software listens to behavioral health providers while they talk to their patients (with consent, of course). A few seconds after the patient leaves the room, the provider already has a robust draft of the medical note waiting for them. Super customizable, easy to integrate with any current workflow. Medical note completely done and submitted for insurance reimbursement before the next patient enters the room. No more typing during the session, no more catching up on notes at home in the evening. Eye contact and peace of mind. 🧘 - 🚀 JotPsych is a post-revenue, seed-stage software startup backed by Base10. The product currently reduces administrative time for behavioral health clinicians by 90% and is expanding to encompass other clinical and administrative workflows. You can learn more about JotPsych by visiting the website, reading up on our fundraise announcement, and/or by listening to the podcasts below: - ⛓️ JotPsych was founded by Nate Peereboom and Jackson Bierfeldt. Nate’s mom was a nurse practitioner, so he grew up in the shadow of overwhelming medical documentation. Jackson is a language and audio nerd, and when GPT-3 hit the market, he knew something could be done here. The company is currently 10-15 FTE. - 🚀 JotPsych has scribed for 1.5m+ patient encounters. Role You’ll take rough product ideas and ship them end-to-end — translating messy clinic workflows into smooth, intuitive software. You’ll work across our stack (React + Python + Postgres + AWS) to bring new features from prototype to production, balancing craft with velocity. This is a promotion-track role: we’re hiring someone who can grow into a pod lead within 12 months — mentoring others, defining dev patterns, and shaping how product gets built at JotPsych. You will work on - Feature delivery: Own the full lifecycle from design doc → deploy. - Product iteration: Partner with designers, clinicians, and founders to ship user-facing improvements weekly. - System glue: Integrate LLM and backend microservices into cohesive experiences (streaming outputs, async jobs, realtime updates). - Internal tooling: Build dashboards, QA views, and admin utilities that help clinics and our team operate faster. - Technical mentorship: As we grow, guide junior engineers on clean abstractions, testing, and debugging. Ideal Candidate - 5–8 yrs professional engineering experience, including 3 + yrs building production web apps (React, TypeScript, Python/FastAPI or similar) at a startup pace. - A bias toward action — you prototype fast, cut scope intelligently, and measure what matters. - Full-stack fluency: you’re happy across the stack and can reason about APIs, UX, auth, data models, cloud services, and databases (Postgres, Mongo). - Experience shipping modern AI systems — ideally involving LLMs, audio-pipelines (including ASR), or other real-time data flows. - A pragmatic approach to testing, CI/CD, and observability — you build for reliability but know when to bend for speed. - Comfort working in ambiguity and making product trade-offs without perfect specs. - Curiosity about healthcare, language models, and how software can make clinicians’ lives easier. - Bonus: familiarity with FHIR, audit logging, or insurance clearinghouses. Tech We Use (and you’ll shape) Python · Flask · FastAPI · Celery Postgres · MongoDB · Redis · S3 (WORM) AWS ECS · Step Functions · SQS · Kinesis LangChain / LangGraph · OpenAI · Anthropic Pulumi · OpenTelemetry · Supabase (Experience in Go/Rust/GCP? We probably aren’t going to use those right now, but who knows? Teach us.) Timing and location We want to hire as soon as we find the right person. 🏡🌍 This role is remote-friendly with flexibility to work where you’re most effective. We have a preference for candidates located in or near the New York City metro area, but it is not required. For candidates outside the NYC area, we may bring you in for onboarding, team onsites, or major planning sessions. Compensation Compensation includes the following benefits: - 🌎 Deeply meaningful work — you’re changing how behavioral health happens! Our customers literally hug us when they meet us at conferences and tell us how we’ve “changed their lives.” 🥲 - 🏥 Healthcare (we offer top-of-the-line health insurance) - 💵 Cash (~$150-250k) - 🧱 Material equity (~0.75%) Application At JotPsych, we know your time is valuable — and that thoughtful, creative engineering takes real energy. That’s why we compensate all candidates for completing our technical stages at $100/hour. We want this process to feel like a collaboration between peers, not a test. Our hiring process is intentionally rigorous but transparent. Each stage is designed to mirror how we actually work: tackling ambiguous problems, reasoning clearly, and shipping solutions that matter. Here’s the process: - Submit the Form Complete the form listed in the full job description to introduce yourself and explain why you want to work at JotPsych. Keep it short (≤ 200 words) but professional. Include your contact info, resume, LinkedIn, and portfolio / GitHub. Important: Next to your first name, you must include a ninja emoji (🥷) — because you’ll be jumping and slicing through everything. - Case Interview (5–10% of applicants) Selected candidates will receive a short technical case. Plan for about 3 hours of work. You’ll get all necessary materials in advance, but be ready — it’s designed to challenge how you think, not just how well you write code. At the end, you’ll submit a Loom video or screen recording showing your work in action and walking us through your process. - Behavioral Interview (45 min) After the case, you’ll meet with our founders or tech leads. We’ll dig into your past engineering experiences, your problem-solving patterns, and what motivates you. - Technical Interview (2.5 hours) This comprehensive session combines architecture review, debugging, and product critique to assess your full-stack engineering judgment. - Part 1: Architecture Review (60 min) — You'll review a real or anonymized JotPsych service diagram or code snippet, identify strengths and risks, and propose one refactor with trade-offs. - Part 2: Debugging Challenge (60 min) — You'll join one of our engineers in a shared environment to debug a small broken script or feature, forming hypotheses and isolating variables. - Part 3: Product Critique (30 min) — We'll show you a prototype or in-progress feature and you'll share what feels unclear, overbuilt, or missing — and outline how you'd improve it in a week.We're testing technical judgment, problem-solving process, product intuition, and how you balance UX, tech, and time — not speed or perfection. - Co-Working Day A small group of finalists are invited for a full-day on-site at our DC HQ (we’ll fly you out if you’re not local). You’ll collaborate on a live problem, pair-build with our engineers, and join structured evening conversations about product direction, strategy, and vision. We’re testing for speed, collaboration, and creative insight — not polish. - References (6×) We take references seriously. Expect us to speak with ~six people who’ve worked closely with you.