10 jobs found

Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.

Job Description Job Description Position: Application Developer Location: On-site at U.S.Fish and Wildlife Service (USFWS) offices, in Falls Church, Virginia, Ft. Collins, Colorado, or, as approved, Madison, Wisconsin Clearance: Clearable (Public Trust), US Citizen Objective: The primary objective of this engagement is to ensure the continued enhancement, as well as maintenance and operational support of ECOSphere, which includes its seamless integration with other systems/applications, by leveraging the expertise of highly qualified technical professionals. The focus is to ensure ECOSphere remains a secure, scalable, and efficient system that serves both internal USFWS users and the public. Tasks: Application Development Support and Maintenance Develop and Enhance Applications: Design, develop, and implement new features, modules, and tools and/or integrations with in-house applications (ETK workflows, including species and recovery workflows and more, IPaC, Dkey Editor, EPM, SAMS, HabITS, etc.). Carry out application technology upgrades for frameworks like Angular, Spring Boot, Grails, React etc. as needed to keep up with security fixes. Support existing and develop new FME processes, ISDI, APIs, etc., to ensure data is seamlessly delivered to ECOSphere applications from EDW and other sources. Implement new functionalities and enhancements using Agile methodologies. Review and complete items in the backlogs. Keep, maintain, and address priorities conforming to Executive Orders, Secretarial Orders, along with service goals and mission support, including tracking and reporting capabilities. Enhancements to current modules to include end of year reporting. Maintain and create automated tests (unit, integration). Document any manual test plans and test runs. Create database datasets to pull out key application data that will support reporting in SSRS and QuickSight Application Support and Maintenance: Provide Tier 2 and Tier 3 support services, including troubleshooting, bug fixes, configuration updates, and performance optimization User Experience Improvements: Gather feedback from end-users to inform design updates and usability enhancements. User Surveys to understand the user experience and be able to quantify satisfaction and the value and time savings of improvements. Develop an AI tool to enhance the user experience, populate workflows with important data, and generate products. DevSecOps Pipeline Integration: Ensure applications are integrated with automated CI/CD pipelines, with appropriate scans and testing protocols in place. Refactor and optimize legacy applications or integrations to improve performance and security. Cloud Infrastructure and Security Maintain AWS environments supporting ECOSphere and associated applications. Implement security best practices and ensure compliance with FISMA and other federal standards. Monitor system health, performance, and availability. Documentation Complete technical documentation: System configurations, API documentation, and standard operating procedures. Data integration workflows and security protocols. Complete weekly status reports detailing work completed, issues, and upcoming milestones Requirements/Skills: Java (8+), Groovy, JavaScript, Node.js, TypeScript, Python, R (R Shiny Spring Boot, Grails, Angular, React, Docker, Jenkins REST API/Web Services, Terraform, CloudFormation, AWS Lambda SQL, PostgreSQL, SQL Server, Neo4j, Redis Mulesoft, Artifactory, Tomcat Artificial Intelligence Tools About Inalab Consulting, Inc. Inalab Consulting is a leading Small Business IT solutions and strategy consulting firm focused on providing solutions that transform enterprise operations in the government and commercial sectors by dependably bridging the gap between business strategy and technology. The company was founded in 2005 and is a privately held company headquartered in Fairfax, Virginia. We see technology as an efficient, economical means to an end, and are dedicated to crafting technical solutions that result in increasing interoperable, responsive, and cost-effective enterprises. We are totally focused on providing "Cost-effective Solutions" to our customers. Working at Inalab Consulting, Inc. Inalab is a diverse, prosperous, and rewarding place to work. We provide our employees with competitive benefits, educational assistance, and career growth opportunities. Every employee is valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions. With our company you will earn a highly competitive salary commensurate with your skill level and experience. You will also enjoy: Minimum of two (2) weeks annual paid time off. A comprehensive, company-paid medical, dental, and vision plan and life insurance. 401K plan with a vesting schedule for company added contributions. Inalab is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Working at Inalab Consulting, Inc. Inalab is a diverse, prosperous, and rewarding place to work. We provide our employees with competitive benefits, educational assistance, and career growth opportunities. Every employee is valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions. With our company you will earn a highly competitive salary commensurate with your skill level and experience. You will also enjoy: Three (3) weeks annual paid time off. A comprehensive, company-paid medical, dental, and vision plan and life insurance. 401K plan with vesting for company added contributions. Inalab is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job Description Job Description SciTec, a Firefly Aerospace Company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has immediate opportunities for talented software and algorithm developers to support our radar modernization programs, which focus on ultra low latency signal processing, data fusion, and advanced tracking algorithms for upgraded ground based radar systems. Ideal candidates will be comfortable working across multiple programming languages in a fast paced, collaborative environment composed of scientists, engineers, and developers. You will rapidly prototype advanced radar algorithms and help transition them into optimized C++ implementations running on Linux within government frameworks. Your work will directly contribute to modernizing legacy radar systems with digital architectures, scalable processing pipelines, and mission ready performance. Responsibilities Lead the research, development, and maturation of advanced numerical algorithms for radar signal and data exploitation, including detection, tracking, estimation, clutter suppression, and processing for modernized radar architectures. Design, implement, and optimize high performance radar tracking algorithms in Python and C++, with emphasis on scalability, latency reduction, and robustness for operational radar missions. Develop and tune Kalman filtering, tracking, and data exploitation algorithms in Python and C++ Develop and optimize Resource Management algorithms based on mission requirements Architect and develop end to end radar processing pipelines, from raw I/Q ingest through DSP chains, feature extraction, tracking, and production deployment in mission environments. Advance radar modeling, simulation, and algorithm evaluation toolchains, including reusable frameworks that support rapid prototyping, validation, and integration of new radar capabilities. Define and execute quantitative radar performance assessments including detection metrics, tracking accuracy, false alarm characterization, sensitivity studies, and validation using real radar data. Collaborate cross functionally with software engineers, system architects, RF engineers, and mission stakeholders to integrate algorithms into operational radar systems and ensure mission alignment. Provide technical leadership within Agile development teams, mentor junior engineers, drive radar focused best practices, and contribute to shared DSP and algorithm codebases. Support proposal efforts, technical roadmaps, and customer engagements by clearly articulating radar algorithmic approaches, performance advantages, and modernization benefits. Ensure compliance with mission assurance, cybersecurity, and software quality standards relevant to DoD radar programs. Other duties as assigned. Requirements Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field 8+ years of experience developing numerical algorithms for radar signal processing or related sensor processing applications Demonstrated expertise in developing and implementing algorithms in Python and C++ Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques Experience working with real radar data (e.g., I/Q samples, pulse compressed data, tracking data, or radar simulations) Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD) Ability to work effectively in Agile or iterative development environments Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred) Candidates who have any of the following skills will be preferred PhD in Applied Mathematics, Physics, Electrical Engineering, or related technical field Experience with advanced radar DSP techniques (e.g., CFAR, MTI/MTD, beamforming, calibration, Doppler processing, tracking filters, estimation algorithms, inverse problems) Familiarity with machine learning methods applied to radar data (e.g., classification, anomaly detection, deep learning based radar feature extraction) Experience optimizing radar algorithms for performance (parallel computing, GPU acceleration, vectorization, memory optimization) Knowledge of DoD radar mission systems, radar phenomenology, or ground /air based radar architectures Experience transitioning radar algorithms from prototype to production in operational radar environments Familiarity with containerization and orchestration tools (Docker, Kubernetes) Experience with radar modeling and simulation environments supporting system development Prior experience leading technical efforts or mentoring junior engineers Active DoD security clearance Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $156,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VETS/Disabled.

Job Description Job Description ABOUT US: Biodesix is a leading diagnostic solutions company, driven to improve clinical care and outcomes for patients. Biodesix Diagnostic Tests support clinical decisions to expedite personalized care and improve outcomes for patients with lung disease. Biodesix Development Services enable the world's leading biopharmaceutical, life sciences, and research institutions with scientific, technological, and operational capabilities that fuel the development of diagnostic tests, tools, and therapeutics. Our Mission: Transform patient care and improve outcomes through personalized diagnostics that are timely, accessible, and address immediate clinical needs. Our Vision: A world where patient diseases are conquered with the guidance of personalized diagnostics. For more information, please visit LOCATION: On-Site in Louisville, CO PROGRAM DATES: May 17 to August 6, 2027 TIME COMMITMENT: 40 hours per week THE ROLE As a Software Development & AI Intern, you'll work alongside the IT development team to design, build, and enhance applications that support Biodesix business operations. Throughout the summer, you'll gain hands-on experience with enterprise software development, APIs, databases, AI-enabled applications, and modern development practices while contributing to meaningful projects that improve business processes and user experiences. WHAT YOU'LL DO Design, develop, test, and maintain software applications and enhancements. Write, debug, and document code using established programming languages and development frameworks. Support API development and integration with enterprise systems. Work with databases, data processing, and application data flows. Assist in developing AI-enabled application features and automation solutions. Research and experiment with AI tools, frameworks, APIs, and development platforms. Participate in software testing, code reviews, debugging, and technical documentation. Collaborate with developers, business stakeholders, and IT teams to develop technical solutions. Contribute to development projects while following established software development, security, and change management practices. WHAT YOU'LL BRING Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computer Engineering, Data Science, Information Systems, or a related technical field. Foundational knowledge of programming, object-oriented development, data structures, algorithms, databases, and software engineering principles. Working knowledge of at least one programming language such as Python, C#, Java, JavaScript, or TypeScript. Familiarity with software development principles, debugging, and source control tools such as Git. Strong analytical, quantitative, and problem-solving skills. Ability to translate business requirements into technical solutions. Strong written and verbal communication skills and the ability to collaborate effectively with a development team. Curiosity, initiative, and willingness to learn new technologies. Preferred Qualifications Experience developing applications through academic projects, internships, or personal programming projects. Familiarity with web development frameworks, REST APIs, SQL databases, cloud platforms, or modern development tools. Exposure to Microsoft Azure, Azure DevOps, or CI/CD practices. Experience with generative AI, large language models (LLMs), AI APIs, prompt engineering, AI agents, or GitHub Copilot. Experience building applications that integrate AI capabilities or automate business processes. WHAT YOU'LL GAIN Hands-on experience with enterprise software development and the software development lifecycle. Exposure to application development, APIs, databases, cloud technologies, and AI integration. Experience contributing to real-world software enhancements and business solutions. Opportunities to participate in code reviews, testing, debugging, and technical design discussions. Development of technical, analytical, collaboration, and problem-solving skills. Mentorship from experienced software developers and IT professionals. COMPENSATION Undergraduate Rate of $19.00 per hour Graduate Rate of $21.00 per hour DEADLINE TO APPLY: December 11, 2026 Biodesix is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Job Description Job Description The financial industry is growing at a record pace, but our data providers are still stuck in the past - with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We're looking for a midlevel or senior IC to join our Systems team. Our team is responsible for managing our entire infrastructure fleet from the ground up. This includes handling dense storage clusters, compute, LL networking and systems, capture topologies, and more. Responsibilities Systems and network configuration. Bare-metal and containerized application deployment. Maintaining large storage clusters. Instrumenting performance measurement and alerts. Improving systems automation and tooling. On-call support. Coordinating bulk data delivery to customers and vendor partners. Occasional physical infrastructure deliveries and systems provisioning. Required qualifications Strong Linux knowledge. Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform). Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage). Basic networking (OSI model, IP protocols, switching/routing). Ability to code in Python and write shell scripts. DevOps/GitOps mindset. 5+ years of full-time experience in systems engineering or infrastructure roles. Bachelor's degree in Computer Science or a related field. Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available. Nice-to-haves Experience with distributed storage systems (e.g., Ceph). Customer support experience and strong problem-solving abilities. Prior experience at a trading or fintech firm, or a strong interest in learning fintech. Database administration (MySQL, ClickHouse, Redis). Cloud engineering basics (AWS, GCP - compute, storage). Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor). Systems and network tuning. Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki). Ability to travel to data centers in New Jersey or Boston on short notice (within one week). We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $150,000-$230,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento.online) are fraudulent. Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!

Job Description Job Description Founding Infrastructure Engineer (New York) At Solve Intelligence, we're building AI for the global IP industry. We're now building our first engineering team in New York. The Role You'll be our first engineer in New York, working closely with our London infrastructure team. You'll own how Solve is deployed, secured and run for our largest customers in the US. Many of them need fully isolated environments that meet strict security requirements. This isn't a ticket queue. You'll make architectural decisions, write a lot of Terraform, and work directly with the founders and with customers' security teams. What you'll own Repeatable enterprise deployments: Turn our infrastructure into a repeatable process for single-tenant, isolated and air-gapped customer environments. Secure cloud architecture: Design and run our AWS environments with Terraform, including regulated and government-grade environments. Security and compliance engineering: Build controls into the infrastructure itself (IAM, network segmentation, encryption, logging and audit trails). Be the technical owner when customers review our security posture. Reliability and observability: Instrument the stack (OpenTelemetry, Datadog) so we find issues before customers do, and own incident response for US environments. Developer velocity: Improve CI/CD (GitHub Actions, Docker) so the whole team can ship quickly and safely. What you'll work on first Make our custom enterprise deployment process repeatable across customers and environments. Harden and document security controls for our US regulated environments. Set up on-call, monitoring and runbooks for US customers. What You Bring Must-haves: Terraform expertise: You use it every day and it's your default tool for infrastructure. Production infrastructure experience: You've owned production cloud infrastructure, ideally on AWS, beyond configuring it. CI/CD and containers: Kubernetes or ECS, and deployment pipelines you've built yourself. Security fundamentals: IAM, cloud networking, secrets management and least-privilege design. Software engineering ability: Strong Python, and comfortable building backend services and wiring infrastructure into the product. US work authorization: You're authorized to work in the US. Nice-to-haves: Experience with FedRAMP, NIST 800-53, SOC 2 or ISO 27001 environments Early-engineer experience at a startup, or infrastructure work at a hedge fund or quant firm Distributed task queues (Celery/SQS), OpenSearch, or AI/ML infrastructure DevSecOps experience We care about what you've built more than certificates. Tell us about the hardest infrastructure problem you've owned. About Solve Intelligence Traction: 20-30% month-on-month revenue growth, selling to more than 700 IP teams worldwide, including leading US law firms. Proven value: Users report 50-90% efficiency gains. Backing: $55M raised to date, including a $40M Series B, from investors including Y Combinator, 20VC and Visionaries. Your Team You'll work directly with our founding team: Chris (CEO): PhD in AI (UCL), ex-Dyson and the Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D. What We Offer Salary: Competitive base, plus significant equity. Founding impact: You'll shape our US engineering team and infrastructure from day one. Benefits: Comprehensive health, dental and vision cover, a 401(k), enhanced parental leave and meals in the office. Location: In person in New York, 5 days a week. Compensation Range: $120K - $250K

Job Description Job Description About Us : Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: We are seeking a full-stack developer to join our risk team. This role supports the design, build, and operation of the in-house risk engine, which powers real-time calculation and monitoring of PnL, VaR, greeks, risk slides, and other key risk metrics. The ideal candidate combines solid backend and frontend development skills with strong DevOps fundamentals and hands-on experience using AI tooling in day-to-day development. You will work closely with senior risk developers, quantitative analysts, and market risk analysts to turn financial models into reliable, production-ready applications and keep them running smoothly under live trading conditions. Job Responsibilities: Build and maintain real-time risk systems used daily by risk, traders, and executives, including: 24/5 live PnL tracking VaR and other exposure calculations Web-based risk dashboards Interactive analytical tools Alerting and monitoring systems Own deployment, CI/CD, and infrastructure for risk applications: containerization, pipeline automation, environment management, observability, and incident response. Improve system reliability, performance, and availability, with a focus on low latency and stability during market hours. Use AI-assisted development tools (e.g. Claude Code, Cursor, Copilot) to accelerate development, testing, documentation, and debugging. Develop and enhance applications that integrate LLM APIs for automation, analysis, and workflow improvements. Build responsive front-end interfaces for visualizing and interacting with risk metrics. Collaborate with the risk team to understand requirements and implement risk models. Write clean, well-documented, and tested code; participate in code reviews and design discussions. Requirements: 4+ years of professional experience as a full-stack developer, preferably in the financial industry or proprietary trading. Strong proficiency in Python for data processing, backend logic, and model integration. Solid DevOps experience: Docker, CI/CD pipelines (e.g. GitHub Actions, GitLab CI, Jenkins), Linux administration, and monitoring/logging tools (e.g. Prometheus, Grafana). Experience with Kubernetes or infrastructure-as-code (e.g. Terraform, Ansible) is a plus. Hands-on experience with AI coding assistants and agentic development workflows, and a practical understanding of how to apply them effectively and safely. Experience integrating LLM APIs (e.g. OpenAI, Anthropic) into applications, including prompt design, tool/function calling, and evaluation. Experience with at least one modern JavaScript framework (React, Angular, or Vue). Proficiency in SQL and a solid understanding of relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL stores (e.g. Redis). Understanding of data structures, APIs, and real-time data processing. Familiarity with real-time data visualization. Exposure to quantitative models or working with quants is a plus. Ability to work independently and collaboratively with technical and non-technical stakeholders. Benefits: Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care Options Employer Paid Group Term Life and AD&D insurance Voluntary LTD, Life & AD&D insurance Flexible Vacation policy Retirement plan with employer match DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above. Base Salary Range $170,000-$225,000 USD

Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.

Job Description We are partnering with a leading proprietary trading firm seeking a talented Senior C++ Developer to join a high-performance engineering team building technology that powers real-time trading across global financial markets. This is an opportunity to work on mission-critical systems where performance, reliability, and latency are paramount. Key Responsibilities Design, develop and optimize high-performance C++ applications for low-latency trading environments. Reduce system latency through profiling, performance tuning and code optimization. Build scalable, resilient software used in electronic trading and market data processing. Work closely with traders, quantitative researchers and infrastructure engineers to deliver cutting-edge solutions. Identify bottlenecks across software and hardware, implementing improvements to maximize throughput and minimize latency. Requirements Strong commercial experience developing software in modern C++ (C+/20 preferred). Proven experience building low-latency, high-performance systems. Deep understanding of performance optimization, memory management, multi-threading and concurrent programming. Experience profiling applications and optimizing CPU, cache utilization and network performance. Strong knowledge of Linux development environments and systems programming. Excellent problem-solving skills and a passion for writing highly efficient code. Nice to Have Experience within proprietary trading, hedge funds or electronic market making. Knowledge of networking protocols (TCP/UDP), kernel bypass technologies, RDMA or DPDK. Familiarity with exchange connectivity, market data or order management systems. Exposure to Python for tooling or automation. This is an excellent opportunity to work alongside some of the industry's strongest engineers, solving complex technical challenges where every microsecond counts.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets Design and deploy predictive and prescriptive models to enable data-driven decision-making Apply advanced analytics to Navy-specific domains such as logistics , maintenance, and operational readiness Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences Build and maintain reusable analytical frameworks, code libraries, and model pipelines Apply machine learning techniques to solve classification, regression, clustering, and optimization problems Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability Document methodologies, assumptions, and results to support transparency and reproducibility What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles Experience in Python, R, and SQL for data analysis, modeling, and data manipulation Experience applying machine learning techniques and statistical methods to real-world datasets Experience working with large, complex datasets across logistics , maintenance, supply chain, or readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite in a client environment as required What Would Be Nice To Have: Familiarity with deploying models or integrating analytics into operational workflows Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) Statistical modeling and machine learning Ability to translate complex analytical outputs into actionable recommendations for stakeholders Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.